Chao Che
Impact in
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- Artificial Intelligence in Healthcare
- Organic Chemistry top 5%
- Catalytic C–H Functionalization Methods
- Multicomponent Synthesis of Heterocycles
- Radical Photochemical Reactions
- Synthetic Organic Chemistry Methods
Papers in
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- Topic Modeling 14
- Natural Language Processing Techniques 10
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- Computational Drug Discovery Methods 14
- Co-authors
- Bo Jin (13 shared papers)Peiliang Zhang (14 shared papers)Gangguo Zhu (6 shared papers)Hanliang Zheng (2 shared papers)Zhen Jun Yang (8 shared papers)Xiaopeng Wei (11 shared papers)Yongjun Zhu (13 shared papers)Qiang Zhang (20 shared papers)
- Journals
- Knowledge-Based Systems (4 papers)Mathematical Biosciences & Engineering (3 papers)International Journal of Machine Learning and Cybernetics (3 papers)Biomedical Signal Processing and Control (3 papers)Organic Letters (3 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Chao Che
90 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 136
- Health Information Management 132
- Organic Chemistry 578
- Health Informatics 19
- Computational Theory and Mathematics 195
- Artificial Intelligence 390
Countries citing papers authored by Chao Che
This map shows the geographic impact of Chao Che'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 Chao Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Che more than expected).
Fields of papers citing papers by Chao Che
This network shows the impact of papers produced by Chao Che. 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 Chao Che. The network helps show where Chao Che may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao Che, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 129 | |
| 2 | 2018 | 127 | |
| 3 | 2017 | 97 | |
| 4 | 2018 | 83 | |
| 5 | 2016 | 83 | |
| 6 | 2022 | 75 | |
| 7 | 2015 | 59 | |
| 8 | 2009 | 58 | |
| 9 | 2007 | 54 | |
| 10 | 2020 | 49 | |
| 11 | 2008 | 46 | |
| 12 | 2010 | 44 | |
| 13 | 2024 | 35 | |
| 14 | 2023 | 34 | |
| 15 | 2021 | 33 | |
| 16 | 2009 | 31 | |
| 17 | 2021 | 31 | |
| 18 | 2021 | 31 | |
| 19 | 2021 | 30 | |
| 20 | 2013 | 28 |
About Chao Che
Chao Che is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Organic Chemistry, Computer Vision and Pattern Recognition and Molecular Biology, having authored 104 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Topic Modeling (14 papers), Natural Language Processing Techniques (10 papers), Biomedical Text Mining and Ontologies (9 papers), Synthetic Organic Chemistry Methods (7 papers), Bioinformatics and Genomic Networks (7 papers), Multicomponent Synthesis of Heterocycles (6 papers) and Catalytic C–H Functionalization Methods (5 papers). The work is most often cited by research in Health Information Management (132 citations), Organic Chemistry (578 citations), Health Informatics (19 citations), Computational Theory and Mathematics (195 citations) and Artificial Intelligence (390 citations). Chao Che has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Bo Jin, Peiliang Zhang, Gangguo Zhu, Hanliang Zheng, Zhen Jun Yang, Xiaopeng Wei, Yongjun Zhu, Qiang Zhang, Yue Qu and Fei Wang. Their work appears in journals such as Knowledge-Based Systems, Mathematical Biosciences & Engineering, International Journal of Machine Learning and Cybernetics, Biomedical Signal Processing and Control and Organic Letters.
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.