| Big data and data science: what should we teach? IY Song, Y Zhu Expert Systems 33 (4), 364-373, 2016 | 253 | 2016 |
| Network embedding in biomedical data science C Su, J Tong, Y Zhu, P Cui, F Wang Briefings in bioinformatics 21 (1), 182-197, 2020 | 187 | 2020 |
| Semantic relatedness and similarity of biomedical terms: examining the effects of recency, size, and section of biomedical publications on the performance of word2vec Y Zhu, E Yan, F Wang BMC medical informatics and decision making 17, 1-8, 2017 | 99 | 2017 |
| Knowledge-driven drug repurposing using a comprehensive drug knowledge graph Y Zhu, C Che, B Jin, N Zhang, C Su, F Wang Health Informatics Journal 26 (4), 2737-2750, 2020 | 77 | 2020 |
| Big data and data science: Opportunities and challenges of iSchools IY Song, Y Zhu Journal of Data and Information Science 2 (3), 2017 | 74 | 2017 |
| How are they different? A quantitative domain comparison of information visualization and data visualization (2000–2014) MC Kim, Y Zhu, C Chen Scientometrics 107, 123-165, 2016 | 69 | 2016 |
| Drug knowledge bases and their applications in biomedical informatics research Y Zhu, O Elemento, J Pathak, F Wang Briefings in bioinformatics 20 (4), 1308-1321, 2019 | 53 | 2019 |
| Scientometrics of Scientometrics: Mapping Historical Footprint and Emerging Technologies in MC Kim, Y Zhu Scientometrics, 9, 2018 | 52 | 2018 |
| An investigation of the intellectual structure of opinion mining research. Y Zhu, MC Kim, C Chen Information Research: An International Electronic Journal 22 (1), n1, 2017 | 39 | 2017 |
| Dynamic subfield analysis of disciplines: An examination of the trading impact and knowledge diffusion patterns of computer science Y Zhu, E Yan Scientometrics 104, 335-359, 2015 | 37 | 2015 |
| IEA-GNN: Anchor-aware graph neural network fused with information entropy for node classification and link prediction P Zhang, J Chen, C Che, L Zhang, B Jin, Y Zhu Information Sciences 634, 665-676, 2023 | 33 | 2023 |
| Analyzing academic mobility of US professors based on ORCID data and the Carnegie Classification E Yan, Y Zhu, J He Quantitative Science Studies 1 (4), 1451-1467, 2020 | 29 | 2020 |
| Drug repurposing against Parkinson's disease by text mining the scientific literature Y Zhu, W Jung, F Wang, C Che Library Hi Tech 38 (4), 741-750, 2020 | 26 | 2020 |
| Mapping scientific landscapes in UMLS research: a scientometric review MC Kim, S Nam, F Wang, Y Zhu Journal of the American Medical Informatics Association 27 (10), 1612-1624, 2020 | 26 | 2020 |
| Identifying liver cancer and its relations with diseases, drugs, and genes: a literature-based approach Y Zhu, M Song, E Yan PloS one 11 (5), e0156091, 2016 | 25 | 2016 |
| Dynamic faceted navigation in decision making using semantic web technology HJ Kim, Y Zhu, W Kim, T Sun Decision Support Systems 61, 59-68, 2014 | 25 | 2014 |
| The use of a graph‐based system to improve bibliographic information retrieval: System design, implementation, and evaluation Y Zhu, E Yan, IY Song Journal of the Association for Information Science and Technology 68 (2 …, 2017 | 24 | 2017 |
| A natural language interface to a graph-based bibliographic information retrieval system Y Zhu, E Yan, IY Song Data & Knowledge Engineering 111, 73-89, 2017 | 23 | 2017 |
| Understanding the evolving academic landscape of library and information science through faculty hiring data Y Zhu, E Yan, M Song Scientometrics 108, 1461-1478, 2016 | 21 | 2016 |
| Mapping scientific profile and knowledge diffusion of Library Hi Tech MC Kim, Y Feng, Y Zhu Library Hi Tech 39 (2), 549-573, 2021 | 20 | 2021 |