Yejin Kim
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Materials Chemistry
- Psychiatry and Mental health
- Topics
- Computational Drug Discovery Methods (7 papers)Machine Learning in Healthcare (6 papers)Dementia and Cognitive Impairment Research (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsCancer Research
- Partner nations
- United StatesSouth KoreaFinland
In The Last Decade
Yejin Kim
26 papers receiving 366 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 127
- Computational Theory and Mathematics 106
- Artificial Intelligence 89
- Materials Chemistry 44
- Psychiatry and Mental health 36
Countries citing papers authored by Yejin Kim
This map shows the geographic impact of Yejin Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yejin Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yejin Kim more than expected).
Fields of papers citing papers by Yejin Kim
This network shows the impact of papers produced by Yejin Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yejin Kim. The network helps show where Yejin Kim may publish in the future.
Co-authorship network of co-authors of Yejin Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Yejin Kim. A scholar is included among the top collaborators of Yejin Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yejin Kim. Yejin Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | CancerGPT for few shot drug pair synergy prediction using large pretrained language modelsbreakdown → | 59 |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 17 | |
| 9 | 29 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 16 | |
| 13 | 42 | |
| 14 | 4 | |
| 15 | 61 | |
| 16 | 7 | |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 6 | |
| 20 | 6 |
About Yejin Kim
Yejin Kim is a scholar working on Computational Mathematics, Psychiatry and Mental health and Computational Theory and Mathematics, having authored 31 papers that have together received 373 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Machine Learning in Healthcare (6 papers) and Dementia and Cognitive Impairment Research (6 papers). The work is most often cited by research in Computational Mathematics (17 citations), Health Informatics (23 citations) and Computational Theory and Mathematics (106 citations). Yejin Kim has collaborated with scholars based in United States, South Korea and Finland. Frequent co-authors include Xiaoqian Jiang, Jing Tang, Luyao Chen, Ziyi Li, Yizhuo Wang, Zhao Li, Shuyu Zheng, Ajay Jaiswal, Ying Ding and Tianhao Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Cancer Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.