| A survey on literature based discovery approaches in biomedical domain V Gopalakrishnan, K Jha, W Jin, A Zhang Journal of biomedical informatics 93, 103141, 2019 | 78 | 2019 |
| Topic discovery for short texts using word embeddings G Xun, V Gopalakrishnan, F Ma, Y Li, J Gao, A Zhang 2016 IEEE 16th international conference on data mining (ICDM), 1299-1304, 2016 | 56 | 2016 |
| Matching product titles using web-based enrichment V Gopalakrishnan, SP Iyengar, A Madaan, R Rastogi, S Sengamedu Proceedings of the 21st ACM international conference on Information and …, 2012 | 47 | 2012 |
| Generating medical hypotheses based on evolutionary medical concepts G Xun, K Jha, V Gopalakrishnan, Y Li, A Zhang 2017 IEEE International conference on data mining (ICDM), 535-544, 2017 | 39 | 2017 |
| Collaborative restricted Boltzmann machine for social event recommendation X Jia, X Li, K Li, V Gopalakrishnan, G Xun, A Zhang 2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016 | 29 | 2016 |
| Tracking temporal community strength in dynamic networks N Du, X Jia, J Gao, V Gopalakrishnan, A Zhang IEEE Transactions on Knowledge and Data Engineering 27 (11), 3125-3137, 2015 | 28 | 2015 |
| Matching titles with cross title web-search enrichment and community detection N Londhe, V Gopalakrishnan, A Zhang, HQ Ngo, R Srihari Proceedings of the VLDB Endowment 7 (12), 1167-1178, 2014 | 28 | 2014 |
| Towards self-learning based hypotheses generation in biomedical text domain V Gopalakrishnan, K Jha, G Xun, HQ Ngo, A Zhang Bioinformatics 34 (12), 2103-2115, 2018 | 25 | 2018 |
| Concepts-bridges: Uncovering conceptual bridges based on biomedical concept evolution K Jha, G Xun, Y Wang, V Gopalakrishnan, A Zhang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 22 | 2018 |
| A survey on context learning G Xun, X Jia, V Gopalakrishnan, A Zhang IEEE Transactions on Knowledge and Data Engineering 29 (1), 38-56, 2016 | 21 | 2016 |
| Generating Hypothesis: Using Global and Local Features in Graph to Discover New Knowledge from Medical Literature WJ Vishrawas Gopalakrishnan, Kishlay Jha, Aidong Zhang BiCoB, 2016 | 21* | 2016 |
| Advances in social networks analysis and mining (asonam) F Lin, WW Cohen 2010 International conference on, 192-199, 2010 | 15 | 2010 |
| Augmenting word embeddings through external knowledge-base for biomedical application K Jha, G Xun, V Gopalakrishnan, A Zhang 2017 IEEE International Conference on Big Data (Big Data), 1965-1974, 2017 | 10 | 2017 |
| Globally local: Hyper-local modeling for accurate forecast of COVID-19 V Gopalakrishnan, S Pethe, S Kefayati, R Srinivasan, P Hake, ... Epidemics 37, 100510, 2021 | 9 | 2021 |
| Pre-authorization process using blockchain F Lu, U Kartoun, SN Mahatma, V Gopalakrishnan US Patent App. 16/124,318, 2020 | 8 | 2020 |
| Dwe-med: Dynamic word embeddings for medical domain K Jha, G Xun, V Gopalakrishnan, A Zhang ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (2), 1-21, 2019 | 7 | 2019 |
| Indicating in an electronic communication session a concentration level score of a user participating in the electronic communication session PR Bastide, V Gopalakrishnan, P Madan, F Lu US Patent 10,904,347, 2021 | 6 | 2021 |
| Time-independent and language-independent extraction of multiword expressions from Twitter N Londhe, RK Srihari, V Gopalakrishnan Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 5 | 2016 |
| De-noise biological network from heterogeneous sources via link propagation N Du, J Gao, V Gopalakrishnan, A Zhang 2012 IEEE International Conference on Bioinformatics and Biomedicine, 1-6, 2012 | 5 | 2012 |
| On machine learning-based short-term adjustment of epidemiological projections of COVID-19 in us S Kefayati, F Roberts, S Pethe, X Liu, H Huang, V Gopalakrishnan, ... medRxiv, 2020.09. 11.20180521, 2020 | 4 | 2020 |
