Rakesh Singh Jadon

Scopus Publications

Opinion Analysis Using Social Media in the Automobile Industry With Machine Learning
Richa Shukla, R. S. Jadon, Renu Jain
Aip Conference Proceedings, 2026
Noise-Resilient Hybrid EfficientNet–Vision Transformer Framework with Adaptive Symmetric Cross-Entropy Loss for Robust Plant Disease Detection
Pradeep Gupta, Rakesh Singh Jadon
Journal of Applied Science and Technology Trends, 2026
The errors of human annotation and the noise of the environment such as lighting changes, occlusions and cluttered backdrop limit the correct detection of the plant diseases in the field condition. The research hypothesis is to present a robust deep learning model that can withstand noise and be interpretable in controlled and noisy environments to achieve high plant disease classification. The hybrid EfficientNet-Vision Transformer (ViT) network proposed is based on an EfficientNet-B4 branch of CNN and a branch of Vision Transformer (ViT) network, which focuses on capturing fine-grained lesion features and global contexts information. A data augmentation pipeline based on CycleGAN is used to introduce field-style distortions (e.g., (lighting shifts, shadowing, debris and partial occlusions), to be more robust to environmental noise, and an Adaptive Symmetric Cross-Entropy (ASCE) loss identifies and down-weights uncertain samples with normalized prediction entropy. The training is done in two phases, Stage 1 pretraining with clean images of PlantVillage and Stage 2 with increasingly noisy samples. The framework is tested in two different noise conditions, and these include the controlled synthetic label noise with PlantVillage and the real environmental noise with PlantDoc. The proposed model has an accuracy of 94.5% on the clean PlantVillage test set. It achieves 85.0% accuracy on the PlantVillage dataset under the 20% synthetic label noise protocol, outperforming ResNet-50V2 (76.5%), DenseNet-121 (78.9%), and Co-Teaching (79.5%). Macro-precision, macro-recall and macro-F1 of the model on the external PlantDoc field dataset are 0.718, 0.681, 0.681, respectively with a top-1 accuracy of 72.0, which is a manifestation of cross-domain generalization. The lesion-centric Grad-CAM images indicate that the model places emphasis on symptomatic areas of leaves and represses reactions of background soil, shadows, and clutters. The suggested hybrid EfficientNet-ViT architecture offers, in general, a robust and explainable solution to precision agriculture and intelligent crop tracking systems that are resistant to noise.
Detection, Segmentation, and Classification on Brain Tumor MRI Dataset
Satish Bansal, Rakesh S. Jadon, Sanjay Kumar Gupta
Lecture Notes in Networks and Systems, 2026
AppleVit: A Smart Agricultural Software for Apple Leaf Disease Detection Using AI
Pradeep Gupta, Rakesh Singh Jadon
Journal of Applied Science and Technology Trends, 2025
Apple leaf diseases endanger global apple production at such an intensity that it demands precise detection systems to control disease spread effectively. Traditional inspection methods and Convolutional Neural Network (CNN)-based models face challenges when processing extended image dependencies in leaf images, which subsequently affects their ability to identify diseases accurately. This research develops AppleViT, a lightweight Vision Transformer (ViT)-based model that applies Vision Transformer technology with self-attention approaches to enhance leaf disease classification accuracy and feature extraction within apple leaf detection systems. AppleViT was trained using a public dataset comprising 9,714 apple leaf images, categorized into four classes: Apple Scab, Black Rot, Cedar Apple Rust, and Healthy. The accuracy rate of AppleViT reached 97.8%, which exceeded the ResNet-50 and EfficientNet-B3 and MobileNetV3 models while operating with 1.3 million parameters suitable for precision agriculture real-time usage. The proposed approach demonstrates both high generalization skills alongside precise precision and recall value measurements for disease categories. Future research will create attention visualization features and mobile application compatibility before expanding the architecture to identify multiple diseases across different plant types. AppleViT highlights the potential of Vision Transformer (ViT) technology as a powerful tool to revolutionize plant disease detection for improving crop yield and disease management worldwide.
PLANT Detect Net: a hybrid IoT and deep learning framework for secure plant disease detection and classification
Pradeep Gupta, Rakesh Singh Jadon
Evolving Systems, 2025
PlantVitGnet: A Hybrid Model of Vision Transformer and GoogLeNet for Plant Disease Identification
Pradeep Gupta, Rakesh Singh Jadon
Journal of Phytopathology, 2025
Diseases are one of the major factors that have the potential to reduce plant production, food security and ultimately humanity's survival. Therefore, timely and correct identification of plant diseases is important in ascertaining methods to control the diseases. This paper focuses on the application of Deep Learning in identifying plant diseases, and the research's recommendation is a combination of the Vision Transformer (ViT) and GoogLeNet architectures. The objective of this work is to combine the strengths of both models so as to attain increased accuracy and faster computation. This proves that the proposed model yields a substantial accuracy of 99.20% a, 99.30% precision and 99.10% recall. F1‐score shows the highest performance compared to several state‐of‐the‐art models. For comparison, the Vision Transformer, better known as ViT, attained a 97.80% accuracy, 97.90% precision, 97.70% recall and 97.80% F1 scores, and GoogLeNet attained 98. 60% accuracy, 98. 70% precision, 98.50% recall and 98.60% F1‐score. The present hybrid model substantially enhances the capacity to identify plant diseases, hence providing a comprehensive means of managing the early diseases in the plantations. Due to high performance in the desired indicators, it is applicable for real‐world purposes, controlling crops and increasing their yields.
Cervical Spine Fracture Classification Using CT Images by Different Optimizers
Satish Bansal, Rakesh S. Jadon, Sanjay Kumar Gupta
Lecture Notes in Networks and Systems, 2025
Effective Contrastive Feature Recycling for 3D Point-Based Cloud Representation Learning
Hemlata Arya, Rakesh Singh Jadon, Rajeev Goyal
2025 International Conference on Electrical Communication and Computing Technologies Iconecct 2025, 2025
Reconstruction and Retrieval of an Three dimensional object from point cloud data be a challenging task in computer vision, especially due to heavy dependency on labelled dataset and complexity of current computational methods. This study presents a novel framework where contrastive learning addresses the mention limitations through a dual branch architecture integrated with an free cycling mechanism. the proposed framework leverages self supervised learning for extract the robust representation from an unlabeled point cloud data, drastically reducing annotation requirements while maintaining superior performance. Our feature-recycling mechanism recovers and utilizes the discarded latent features from pooling operations, enriching the overall feature representation to substantially enhance the model efficiency. The framework utilizes contrastive learning to maximize the agreement between augmented views of identical inputs and minimize the similarity with unrelated samples, thus enabling effectively learning from large-scale unlabeled datasets. Extensive experiments on three benchmark datasets clearly identify the superiority of our approach; achieving 86.1.
Conventional versus Explainable Artificial Intelligence-Driven Threat Analysis in SIEM Systems: A Comparative Study
Atul Kumar Chauhan, R.S. Jadon, Mir Shahnawaz Ahmad
2025 International Conference on Electrical Communication and Computing Technologies Iconecct 2025, 2025
Security Information and event management (SIEM) systems have evolved from rule-based threat detection to the implementation of advanced machine learning techniques. The continued development of Explainable Artificial Intelligence (XAI) enhances transparency and clarity in the complicated processes of identifying the threat, analysis, despite conventional SIEM systems being optimized for detection accuracy and processing efficiency. In the context of SIEM systems, this paper offers a thorough comparison of explainable AI-driven approaches with traditional approaches. The study breaks down the methodological differences, assesses performance indicators, and identifies the advantages, limitations, and issues of the application of both approaches and, therefore, reveals the research gap, namely the lack of standardized measures to evaluate the explanation, adversarial robustness, and obstacles in operational integration. The paper concludes by highlighting some future research directions that emphasize the importance of human-AI synergies, explainable models, and enhanced XAI methods in enhancing cybersecurity activities.
Correction: Characterization of Indian Visual Arts Architecture Ages and sub-ages using ML and Fuzzy-ML algorithms (Multimedia Tools and Applications, (2023), 82, 10, (15493-15513), 10.1007/s11042-022-13926-5)
Amita Sharma, R. S. Jadon
Multimedia Tools and Applications, 2024
Indian Visual Arts Classification Using Neural Network Algorithms
Amita Sharma, R. S. Jadon
Lecture Notes in Networks and Systems, 2024
Plant Leaf Disease Identification Using Deep Learning Algorithms
Pradeep Gupta, R. S. Jadon
Lecture Notes in Networks and Systems, 2024
A Robust Hybrid Convolutional Network for Tumor Classification Using Brain MRI Image Datasets
Satish Bansal, Rakesh S Jadon, Sanjay K. Gupta
International Journal of Advanced Computer Science and Applications, 2024
Characterization of Indian Visual Arts Architecture Ages and sub-ages using ML and Fuzzy-ML algorithms
Amita Shrarma, R. S. Jadon
Multimedia Tools and Applications, 2023
Optimization of convolutional neural network hyperparameters using improved competitive gray wolf optimizer for recognition of static signs of Indian Sign Language
Nitin Paharia, Rakesh S. Jadon, Sanjay Kumar Gupta
Journal of Electronic Imaging, 2023
Study and Analysis of Different Convolution Neural Network Techniques to Classify Indian Visual Arts
Amita Sharma, R. S. Jadon
Lecture Notes in Networks and Systems, 2023
Machine Learning for Recognition and Classification of Visual Art Architecture: A Survey
Amita Sharma, R. S. Jadon
Lecture Notes in Networks and Systems, 2023
Classification of ultrasound breast cancer image using tuning up the hyper-parameter of convolutional neural network
Satish Bansal, R. S. Jadon, Sanjay Kumar Gupta
Onkologia I Radioterapia, 2023
Lips and Tongue Cancer Classification Using Deep Learning Neural Network
Satish Bansal, Rakesh S Jadon, Sanjay Kumar Gupta
2023 6th International Conference on Information Systems and Computer Networks Iscon 2023, 2023
A Novel Approach for Malicious Intrusion Detection Using Ensemble Feature Selection Method
Madhavi Dhingra, S. C. Jain, Rakesh Singh Jadon
Lecture Notes in Networks and Systems, 2023
Stock Price Prediction using Modified BPSO for Feature Selection with RNN Variants on Top Tech Companies
Priyank Gupta, Nitin Paharia, Sanjay Kumar Gupta, Rakesh Singh Jadon
2023 World Conference on Communication and Computing Wconf 2023, 2023
Task Scheduling and Energy-Aware Workflow in the Cloud Through Hybrid Optimization Techniques
Arti Yadav, Samta Jain Goyal, Rakesh Singh Jadon, Rajeev Goyal
Lecture Notes in Networks and Systems, 2023
Feature selection using improved multiobjective and opposition-based competitive binary gray wolf optimizer for facial expression recognition
Nitin Paharia, Rakesh S. Jadon, Sanjay K. Gupta
Journal of Electronic Imaging, 2022
Energy Efficient Load Balancing Algorithm through MetaHuristics Approaches for Cloud-Computing-Environment
Arti Yadav, Samta Jain Goyal, R.S. Jadon, Rajeev Goyal
2022 International Mobile and Embedded Technology Conference Mecon 2022, 2022
Rusdataboost-im: Improving classification performance in imbalanced data
Satyam Maheshwari, R. C. Jain, R. S. Jadon
Advances in Intelligent Systems and Computing, 2021
Recognition of ‘yoga-asana’ using bidirectional LSTM with CNN features
Nitin Paharia, Rajesh Gupta, R.S. Jadon, S.K. Gupta
International Journal of Arts and Technology, 2021
Malicious node detection based on clustering techniques in network
Madhavi Dhingra, S.C. Jain, Rakesh Singh Jadon
Materials Today Proceedings, 2020
Probability based emotion recognition using machine learning approach
International Journal of Scientific and Technology Research, 2020
Acoustic domain classification and recognition through ensemble based multilevel classification
Sandeep Rathor, R. S. Jadon
Journal of Ambient Intelligence and Humanized Computing, 2019
Malicious intrusion detection using machine learning schemes
Madhavi Dhingra*, , Dr. S C Jain, Dr. Rakesh Singh Jadon, , and
International Journal of Engineering and Advanced Technology, 2019
Speech Recognition and System Controlling using Hindi Language
Sandeep Rathor, R. S. Jadon
2019 10th International Conference on Computing Communication and Networking Technologies Icccnt 2019, 2019
Novel approach in image processing to recognize facial expressions
International Journal of Recent Technology and Engineering, 2019
The art of domain classification and recognition for text conversation using support vector classifier
Sandeep Rathor, R.S. Jadon
International Journal of Arts and Technology, 2019
Hand gesture object recognition based on the combination of fuzzy reasoning method, back propagation algorithm and mamdani classification approach
International Journal of Innovative Technology and Exploring Engineering, 2019
Performance Comparison of LANMAR and AODV in Heterogenous Wireless Ad-hoc Network
Madhavi Dhingra, S. C. Jain, Rakesh Singh Jadon
Advances in Intelligent Systems and Computing, 2019
Facial emotion recognition through hand gesture and its position surrounding the face
International Journal of Engineering and Advanced Technology, 2019
Domain Classification of Textual Conversation Using Machine Learning Approach
Sandeep Rathor, R. S. Jadon
2018 9th International Conference on Computing Communication and Networking Technologies Icccnt 2018, 2018
Study on malicious node detection
Madhavi Dhingra, SC. Jain, Rakesh Singh Jadon
Materials Today Proceedings, 2018
An insight into rare class problem: Analysis and potential solutions
Satyam Maheshwari, R.C. Jain, R.S. Jadon
Journal of Computer Science, 2018
Retraction:Real-life facial expression recognition systems: A review
Samta Jain Goyal, Arvind K. Upadhyay, R. S. Jadon, Rajeev Goyal
Smart Innovation Systems and Technologies, 2018
Text indpendent speaker recognition using wavelet cepstral coefficient and butter worth filter
Sandeep Rathor, R. S. Jadon
8th International Conference on Computing Communications and Networking Technologies Icccnt 2017, 2017
Volume rendering: A compelling approach to enhance the rendering methodology
Rashmi Dubey, Sarika Jain, R. S. Jadon
Proceedings 2016 2nd International Conference on Computational Intelligence and Communication Technology Cict 2016, 2016
Role of artificial intelligence in enterprise information security: A review
Madhavi Dhingra, Manisha Jain, Rakesh Singh Jadon
2016 4th International Conference on Parallel Distributed and Grid Computing Pdgc 2016, 2016
FCSOFM technique for medical image segmentation
Anamika Ahirwar, R.S. Jadon
International Journal of Bio Science and Bio Technology, 2015
Quantum methodology for Edge detection: A compelling approach to enhance edge detection in digital image processing
Rashmi Dubey, Rajesh Prasad Singh, Sarika Jain, Rakesh Singh Jadon
Proceedings of the 5th International Conference on Confluence 2014 the Next Generation Information Technology Summit, 2014
Effectiveness of soft computing techniques for medical imaging
Anamika Ahirwar, R.S. Jadon
Proceedings 5th International Conference on Computational Intelligence and Communication Networks Cicn 2013, 2013
Computer vision based human computer interaction
G.R.S. Murthy, R.S. Jadon
Journal of Artificial Intelligence, 2011
Intelligent schemes for indexing digital movies
R. S. Jadon, Sanjay Jain
Communications in Computer and Information Science, 2010
Hand gesture recognition using neural networks
G.R.S. Murthy, R.S. Jadon
2010 IEEE 2nd International Advance Computing Conference Iacc 2010, 2010
Brief description of image based 3D face recognition methods
Sushma Jaiswal, Sarita Singh Bhadauria, Rakesh Singh Jadon, Tarun Kumar Divakar
3D Research, 2010
Movies genres classifier using neural network
Sanjay K. Jain, R.S. Jadon
2009 24th International Symposium on Computer and Information Sciences Iscis 2009, 2009
Recognizing facial expressions using eigenspaces
V.R. Vijaykumar, P.T. Vanathi, P. Kanagasapathy
Proceedings International Conference on Computational Intelligence and Multimedia Applications Iccima 2007, 2008
Creation 3D animatable face methodology using conic section-algorithm
Sushma Jaiswal, Sarita Singh Bhad, Rakesh Singh Jado
Information Technology Journal, 2008
Automatic 3D face model from 2D image-through projection
Sushma Jaiswal, Sarita Singh Bhadauria, Rakesh Singh Jadon
Information Technology Journal, 2007
Semantic categorization of video: An evolutionary learning based approach
R S Jadon, K K Biswas, Santanu Chaudhury, Asma Shakil
IETE Journal of Research, 2002
A fuzzy theoretic approach for video segmentation using syntactic features
R.S. Jadon, Santanu Chaudhury, K.K. Biswas
Pattern Recognition Letters, 2001

RECENT SCHOLAR PUBLICATIONS

Noise-Resilient Hybrid EfficientNet–Vision Transformer Framework with Adaptive Symmetric Cross-Entropy Loss for Robust Plant Disease Detection
P Gupta, RS Jadon
Journal of Applied Science and Technology Trends 7 (1), 209-222 , 2026
2026
Hybrid Point Cloud Encoders for Self-Supervised 3D Shape Representation Learning
H Arya, RS Jadon, R Goyal
2026 IEEE Madhya Pradesh Section Conference (MPCON), 429-436 , 2026
2026
Opinion analysis using social media in the automobile industry with machine learning
R Shukla, RS Jadon, R Jain
AIP Conference Proceedings 3385 (1), 070004 , 2026
2026
Conventional versus Explainable Artificial Intelligence-Driven Threat Analysis in SIEM Systems: A Comparative Study
AK Chauhan, RS Jadon, MS Ahmad
2025 International Conference on Electrical, Communication, and Computing … , 2025
2025
Effective Contrastive Feature Recycling for 3D Point-Based Cloud Representation Learning
H Arya, RS Jadon, R Goyal
2025 International Conference on Electrical, Communication, and Computing … , 2025
2025
AppleVit: A Smart Agricultural Software for Apple Leaf Disease Detection Using AI
P Gupta, RS Jadon
Journal of Applied Science and Technology Trends 6 (2), 219-230 , 2025
2025
PLANT Detect Net: a hybrid IoT and deep learning framework for secure plant disease detection and classification
P Gupta, RS Jadon
Evolving Systems 16 (2), 55 , 2025
2025
Citations: 4
PlantVitGnet: A hybrid model of vision transformer and GoogLeNet for plant disease identification
P Gupta, RS Jadon
Journal of Phytopathology 173 (2), e70041 , 2025
2025
Citations: 5
Detection, Segmentation, and Classification on Brain Tumor MRI Dataset
S Bansal, RS Jadon, SK Gupta
International Conference on Information Technology and Artificial … , 2025
2025
Cervical Spine Fracture Classification Using CT Images by Different Optimizers
S Bansal, RS Jadon, SK Gupta
International Conference on Communication and Intelligent Systems, 567-577 , 2024
2024
A Robust Hybrid Convolutional Network for Tumor Classification Using Brain MRI Image Datasets.
S Bansal, RS Jadon, SK Gupta
International Journal of Advanced Computer Science & Applications 15 (4) , 2024
2024
Citations: 14
Plant Leaf Disease Identification Using Deep Learning Algorithms
P Gupta, RS Jadon
International Conference On Innovative Computing And Communication, 733-744 , 2024
2024
Citations: 1
Features extraction and classification using machine learning classifiers for the recognition of lips and tongue cancer
S Bansal, RS Jadon, SK Gupta
Available at SSRN 4719018 , 2024
2024
Citations: 3
Correction: Characterization of Indian Visual Arts Architecture Ages and sub-ages using ML and Fuzzy-ML algorithms
A Sharma, RS Jadon
Multimedia Tools and Applications 83 (6), 18637-18637 , 2024
2024
to Classify Indian Visual Arts
A Sharma, RS Jadon
Proceedings of Third Emerging Trends and Technologies on Intelligent Systems … , 2023
2023
Stock Price Prediction using Modified BPSO for Feature Selection with RNN Variants on Top Tech Companies
P Gupta, N Paharia, SK Gupta, RS Jadon
2023 World Conference on Communication & Computing (WCONF), 1-7 , 2023
2023
Citations: 4
Stock Market Prediction using RNN-based Models with Random and Tuned Hyperparameters
P Gupta, SK Gupta, RS Jadon
International Journal of Computer Applications 185 (21), 12-17 , 2023
2023
Citations: 2
Plant Disease Detection Using Machine Learning Models
RS Jadon, P Gupta
Proceedings of the KILBY 100 7th International Conference on Computing Sciences , 2023
2023
Citations: 3
Characterization of Indian Visual Arts Architecture Ages and sub-ages using ML and Fuzzy-ML algorithms
A Sharma, RS Jadon
Multimedia Tools and Applications 82 (10), 15493-15513 , 2023
2023
Citations: 3
Lips and tongue cancer classification using deep learning neural network
S Bansal, RS Jadon, SK Gupta
2023 6th International Conference on Information Systems and Computer … , 2023
2023
Citations: 9

MOST CITED SCHOLAR PUBLICATIONS

A review of vision based hand gestures recognition
GRS Murthy, RS Jadon
International Journal of Information Technology and Knowledge Management 2 … , 2009
2009
Citations: 519
Hand gesture recognition using neural networks
GRS Murthy, RS Jadon
2010 IEEE 2nd international advance computing conference (IACC), 134-138 , 2010
2010
Citations: 128
Effectiveness of eigenspaces for facial expressions recognition
GRS Murthy, RS Jadon
International Journal of Computer Theory and Engineering 1 (5), 638 , 2009
2009
Citations: 93
A fuzzy theoretic approach for video segmentation using syntactic features
RS Jadon, S Chaudhury, KK Biswas
Pattern Recognition Letters 22 (13), 1359-1369 , 2001
2001
Citations: 72
Biometric: case study
S Jaiswal, SS Bhadauria, RS Jadon
Journal of Global Research in Computer Science 2 (10), 19-48 , 2011
2011
Citations: 54
A review on class imbalance problem: Analysis and potential solutions
S Maheshwari, RC Jain, RS Jadon
International journal of computer science issues (IJCSI) 14 (6), 43-51 , 2017
2017
Citations: 44
Role of artificial intelligence in enterprise information security: a review
M Dhingra, M Jain, RS Jadon
2016 fourth international conference on parallel, distributed and grid … , 2016
2016
Citations: 41
Movies genres classifier using neural network
SK Jain, RS Jadon
2009 24th International Symposium on Computer and Information Sciences, 575-580 , 2009
2009
Citations: 30
Acoustic domain classification and recognition through ensemble based multilevel classification
S Rathor, RS Jadon
Journal of Ambient Intelligence and Humanized Computing 10 (9), 3617-3627 , 2019
2019
Citations: 24
RETRACTED CHAPTER: Real-life facial expression recognition systems: A review
SJ Goyal, AK Upadhyay, RS Jadon, R Goyal
Smart Computing and Informatics: Proceedings of the First International … , 2017
2017
Citations: 24
An implementation of frequent pattern mining algorithm using dynamic function
S Joshi, RS Jadon, RC Jain
International Journal of Computer Applications 9 (9), 0975-8887 , 2010
2010
Citations: 17
Generic video classification: An evolutionary learning based fuzzy theoretic approach
RS Jadon, S Chaudhury, KK Biswas
small 7, 0.13 , 2010
2010
Citations: 15
Video on Demand: An Overview
SK Jain, RS Jadon
Jamia Millia Islamia (A Central University): Feb , 2003
2003
Citations: 15
A Robust Hybrid Convolutional Network for Tumor Classification Using Brain MRI Image Datasets.
S Bansal, RS Jadon, SK Gupta
International Journal of Advanced Computer Science & Applications 15 (4) , 2024
2024
Citations: 14
The art of domain classification and recognition for text conversation using support vector classifier
S Rathor, RS Jadon
International Journal of Arts and Technology 11 (3), 309-324 , 2019
2019
Citations: 14
Recognizing facial expressions using eigenspaces
GRS Murthy, RS Jadon
International Conference on Computational Intelligence and Multimedia … , 2007
2007
Citations: 14
Characterization of tumor region using SOM and Neuro Fuzzy techniques in Digital Mammography
A Ahirwar, RS Jadon
International Journal of Computer Science and Information Technology 3 (1 … , 2011
2011
Citations: 13
Text indpendent speaker recognition using wavelet cepstral coefficient and butter worth filter
S Rathor, RS Jadon
2017 8th International Conference on Computing, Communication and Networking … , 2017
2017
Citations: 12
Sequential pattern mining using formal language tools
S Joshi, RS Jadon, RC Jain
International Journal of Computer Science Issues (IJCSI) 9 (5), 316 , 2012
2012
Citations: 12
Audio based movies characterization using neural network
S Jain, RS Jadon
International Journal of Computer Science and Applications 1 (2), 87-90 , 2008
2008
Citations: 11

Rakesh Singh Jadon

EDUCATION

RESEARCH INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS