Jagendra Singh and Aditi Sharan, “Co-occurrence and Semantic Similarity Based Hybrid Approach for Improving Automatic Query Expansion in Information Retrieval”, Distributed Computing and Internet Technology, Lecture Notes in Computer Science (LNCS), Springer, Vol. 8956, pp. 415-420, 2015. (16 Citations)

Jagendra Singh, Aditi Sharan. “Selecting good Pseudo-Relevance Feedback Documents using Co-training Approach for Automatic Query Expansion”, IEEE Workshop On Computational Intelligence (WCI-2016), IIT Kanpur, India, 2016.(2 citations)

Jagendra Singh and Aditi Sharan, “Lexical Ontology based Computational Model to Find Semantic Similarity”, Intelligent Computing Networking and Informatics, Advances in Intelligent Systems and Computing, AISC Series, Springer, Vol. 243, pp. 119-128, 2014. (3 Citations)

Jagendra Singh and Aditi Sharan, “A new fuzzy logic based query expansion model for efficient information retrieval using relevance feedback approach”, Neural Computing And Applications, Vol 28, Springer, 2017 (SCI IF: 4.664) (47 Citation)

Jagendra Singh and Aditi Sharan, “Relevance Feedback based Query Expansion Model using Ranks Combining and Word2vec Approach”, IETE- Journal of Research, Taylor & Francis, Vol 62, 2016 (SCIE IF: 1.125) (15 Citation)

Jagendra Singh and Aditi Sharan, “Relevance feedback based query expansion model using Borda count and semantic similarity approach”, Computational Intelligence and Neuroscience, Article ID: 568197, pp. 1-14, 2015, (SCIE IF: 2.284) (35 Citation)

Jagendra Singh and Aditi Sharan, “Context Window based Co-occurrence Approach for Improving Feedback based Query Expansion in Information Retrieval”, International Journal of Information Retrieval Research, IGI, Vol. 5, No. 4, pp. 32-46, 2015. (DBLP Indexed). (26 Citation)