Jiacai Yi
- Molecular Biology top 10%
- Computational Theory and Mathematics top 0.5%
- Organic Chemistry top 5%
- Pharmacology top 2%
- Materials Chemistry
- Co-authors
- Chengkun WuDongsheng CaoTingjun HouZhenhua WuXiangxiang ZengZhijiang YangChang‐Yu HsiehAiping Lü
- Topics
- Computational Drug Discovery Methods (10 papers)Machine Learning in Materials Science (8 papers)Pharmacogenetics and Drug Metabolism (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jiacai Yi
13 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 1.1k
- Computational Theory and Mathematics 945
- Organic Chemistry 552
- Pharmacology 246
- Materials Chemistry 245
Countries citing papers authored by Jiacai Yi
This map shows the geographic impact of Jiacai Yi'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 Jiacai Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiacai Yi more than expected).
Fields of papers citing papers by Jiacai Yi
This network shows the impact of papers produced by Jiacai Yi. 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 Jiacai Yi. The network helps show where Jiacai Yi may publish in the future.
Co-authorship network of co-authors of Jiacai Yi
This figure shows the co-authorship network connecting the top 25 collaborators of Jiacai Yi. A scholar is included among the top collaborators of Jiacai Yi 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 Jiacai Yi. Jiacai Yi 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 | 2 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 23 | |
| 6 | ADMETlab 3.0: an updated comprehensive online ADMET prediction platform enhanced with broader coverage, improved performance, API functionality and decision supportbreakdown → | 349 |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 15 | |
| 10 | 11 | |
| 11 | 44 | |
| 12 | ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET propertiesbreakdown → | 1709 |
| 13 | 14 | |
| 14 | 104 | |
| 15 | 74 |
About Jiacai Yi
Jiacai Yi is a scholar working on Computational Theory and Mathematics, Pharmacology and Geriatrics and Gerontology, having authored 15 papers that have together received 2.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Machine Learning in Materials Science (8 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Computational Theory and Mathematics (945 citations), Pharmacology (246 citations) and Toxicology (90 citations). Jiacai Yi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Chengkun Wu, Dongsheng Cao, Tingjun Hou, Zhenhua Wu, Xiangxiang Zeng, Zhijiang Yang, Chang‐Yu Hsieh, Aiping Lü, Xiang Chen and Guo‐Li Xiong. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Nature Protocols.
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.