Neha Yadav

Authors	Title & Details	Publisher / Status	My Contribution
Neha Yadav, Mayank Singh, Dhanalekshmi Gopinathan, Vipin Tyagi	“Machine Learning and Artificial Intelligence in Zero Trust Security Models: A Systematic Literature Review,” ACM Computing Survey, August 2025.	Accepted (90%) [SCI, IF: 28.0, ACM]	Lead Author (Concept & Analysis)
Neha Yadav, Dhanalekshmi Gopinathan	“VRD: Visual Research Discovery - A Hybrid Framework Integrating Semantic Search and Interactive Visualization,” SN Computer Science, August 2025.	Accepted (90%) [Scopus, Springer]	First Author (Framework Design)
Neha Yadav, Dhanalekshmi Gopinathan	“Semantic Search and Retrieval-Augmented Generation for Academic Literature Analysis using ColBERT,” Advances in Data Science and Adaptive Analysis, July 2025.	Accepted (90%) [Scopus, World Scientific]	First Author (Research & Implementation)
Neha Yadav, Dhanalekshmi Gopinathan	“HybridRec: An Academic Paper Recommendation Framework combining LLMs with Retrieval-Augmented Generation,” Advances in Complex Systems, July 2025.	Communicated (90%) [SCI, IF: 3.3, World Scientific]	Lead Author (Model Design & Validation)
Neha Yadav, Dhanalekshmi Gopinathan	“Using Node2vec and Jaccard Similarity with Knowledge Graphs to Optimize Paper Recommendation Model,” International Journal on Artificial Intelligence Tools, June 2025.	Communicated (90%) [SCI, IF: 3.3, World Scientific]	First Author (Algorithm Optimization)
Neha Yadav, Dhanalekshmi Gopinathan	“RAGScholar: A Retrieval-Augmented Generation Pipeline Model for Academic Research Recommendation,” Informatica, May 2025.	Communicated (90%) [SCI, IF: 2.2, Vilnius University Press]	Lead Author (Model Development)
Neha Yadav, Dhanalekshmi Gopinathan	“Retrieval Augmented Generation Model for Paper Recommendation System,” SN Computer Science, vol. 6, article 579, June 2025. DOI Link	Accepted (90%) [Scopus, Springer]	First Author (Data Analysis & RAG Integration)
Chanchal Ahlawat, Rajalakshmi Krishnamurthi, Shivani Tufchi, Neha Yadav	“Dynamic Fog Resource Allocation for Smart Healthcare Using Deep Q-Networks: A Reinforcement Learning Approach,” Service Oriented Computing and Applications, June 2025.	Accepted [Scopus, Springer]	Contributor (RL Model Enhancement)
Neha Yadav, Dhanalekshmi Gopinathan	“Graph Based Analytics and Review of Knowledge Graph Field by Using Two Decade Data - Finding Paradigms and Opportunities,” Evergreen Journal, vol. 11(1), pp. 15–31, March 2024. DOI Link	Accepted (90%) [Scopus, Evergreen]	Lead Author (Analysis & Review Study)

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