| Visualizing a field of research: A methodology of systematic scientometric reviews C Chen, M Song PloS one 14 (10), e0223994, 2019 | 1141 | 2019 |
| Content‐based citation analysis: The next generation of citation analysis Y Ding, G Zhang, T Chambers, M Song, X Wang, C Zhai Journal of the association for information science and technology 65 (9 …, 2014 | 331 | 2014 |
| A study on the research trends in library & information science in Korea using topic modeling JH Park, M Song Journal of the Korean society for information management 30 (1), 7-32, 2013 | 234 | 2013 |
| Content-based author co-citation analysis YK Jeong, M Song, Y Ding Journal of Informetrics 8 (1), 197-211, 2014 | 225 | 2014 |
| Building a PubMed knowledge graph J Xu, S Kim, M Song, M Jeong, D Kim, J Kang, JF Rousseau, X Li, W Xu, ... Scientific data 7 (1), 205, 2020 | 196 | 2020 |
| Topic-based content and sentiment analysis of Ebola virus on Twitter and in the news EHJ Kim, YK Jeong, Y Kim, KY Kang, M Song Journal of Information Science 42 (6), 763-781, 2016 | 186 | 2016 |
| Integration of association rules and ontologies for semantic query expansion M Song, IY Song, X Hu, RB Allen Data & Knowledge Engineering 63 (1), 63-75, 2007 | 148 | 2007 |
| PKDE4J: Entity and relation extraction for public knowledge discovery M Song, WC Kim, D Lee, GE Heo, KY Kang Journal of biomedical informatics 57, 320-332, 2015 | 143 | 2015 |
| Entitymetrics: Measuring the impact of entities Y Ding, M Song, J Han, Q Yu, E Yan, L Lin, T Chambers PloS one 8 (8), e71416, 2013 | 131 | 2013 |
| Detecting the knowledge structure of bioinformatics by mining full-text collections M Song, SY Kim Scientometrics 96, 183-201, 2013 | 125 | 2013 |
| Novel recommendation based on personal popularity tendency J Oh, S Park, H Yu, M Song, ST Park 2011 IEEE 11th international conference on data mining, 507-516, 2011 | 117 | 2011 |
| The funding factor: A cross-disciplinary examination of the association between research funding and citation impact E Yan, C Wu, M Song Scientometrics 115, 369-384, 2018 | 112 | 2018 |
| Analysis of twitter for 2012 South Korea presidential election by text mining techniques J Bae, J Son, M Song Journal of Intelligence and Information Systems 19 (3), 141-156, 2013 | 112 | 2013 |
| Representing scientific knowledge C Chen, M Song Representing Scientific Knowledge, 2017 | 106 | 2017 |
| Analyzing the political landscape of 2012 Korean presidential election in Twitter M Song, MC Kim, YK Jeong IEEE Intelligent Systems 29 (2), 18-26, 2014 | 97 | 2014 |
| Standing on the shoulders of giants T Amjad, Y Ding, J Xu, C Zhang, A Daud, J Tang, M Song Journal of Informetrics 11 (1), 307-323, 2017 | 94 | 2017 |
| Building the process-drug–side effect network to discover the relationship between biological Processes and side effects S Lee, KH Lee, M Song, D Lee BMC bioinformatics 12, 1-12, 2011 | 93 | 2011 |
| A study on opinion mining of newspaper texts based on topic modeling B Kang, M Song, W Jho Journal of the korean society for library and information science 47 (4 …, 2013 | 92 | 2013 |
| Visual number sense in untrained deep neural networks G Kim, J Jang, S Baek, M Song, SB Paik Science advances 7 (1), eabd6127, 2021 | 85 | 2021 |
| The pace of artificial intelligence innovations: Speed, talent, and trial-and-error X Tang, X Li, Y Ding, M Song, Y Bu Journal of Informetrics 14 (4), 101094, 2020 | 85 | 2020 |
Ying DingBill & Lewis Suit Professor, School of Information, Dell Med, University of Texas at AustinVerified email at austin.utexas.edu
