Chengkun Wu
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Pharmacology top 2%
- Pharmacological Effects of Natural Compounds
- Cholinesterase and Neurodegenerative Diseases
Papers in
-
- Biomedical Text Mining and Ontologies 13
- Bioinformatics and Genomic Networks 9
- Protein Structure and Dynamics 8
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- Anomaly Detection Techniques and Applications 6
- Topic Modeling 5
- Co-authors
- Dongsheng Cao (16 shared papers)Tingjun Hou (10 shared papers)Jiacai Yi (14 shared papers)Zhenhua Wu (3 shared papers)Xiangxiang Zeng (5 shared papers)Zhijiang Yang (5 shared papers)Aiping Lü (6 shared papers)Chang‐Yu Hsieh (3 shared papers)
- Journals
- BMC Bioinformatics (7 papers)Briefings in Bioinformatics (6 papers)Nucleic Acids Research (5 papers)Bioinformatics (2 papers)Molecules (2 papers)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Chengkun Wu
67 papers receiving 3.0k citations
Chengkun Wu's Hit Papers
Peers
Comparison fields: 5 of 160
- Computational Theory and Mathematics 1.0k
- Pharmacology 255
- Toxicology 97
- Organic Chemistry 559
- Molecular Biology 1.3k
Countries citing papers authored by Chengkun Wu
This map shows the geographic impact of Chengkun Wu'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 Chengkun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengkun Wu more than expected).
Fields of papers citing papers by Chengkun Wu
This network shows the impact of papers produced by Chengkun Wu. 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 Chengkun Wu. The network helps show where Chengkun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chengkun Wu, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties Hit paper breakdown → | 2021 | 1709 |
| 2 | ADMETlab 3.0: an updated comprehensive online ADMET prediction platform enhanced with broader coverage, improved performance, API functionality and decision support Hit paper breakdown → | 2024 | 349 |
| 3 | 2021 | 104 | |
| 4 | 2021 | 74 | |
| 5 | 2006 | 58 | |
| 6 | 2017 | 54 | |
| 7 | 2016 | 50 | |
| 8 | 2022 | 44 | |
| 9 | 2021 | 43 | |
| 10 | 2022 | 42 | |
| 11 | 2022 | 28 | |
| 12 | 2022 | 28 | |
| 13 | 2024 | 23 | |
| 14 | 2022 | 22 | |
| 15 | 2009 | 21 | |
| 16 | 2021 | 21 | |
| 17 | 2021 | 21 | |
| 18 | 2017 | 18 | |
| 19 | 2017 | 17 | |
| 20 | 2024 | 15 |
About Chengkun Wu
Chengkun Wu is a scholar working on Molecular Biology, Artificial Intelligence, Materials Chemistry, Computational Theory and Mathematics and Computer Networks and Communications, having authored 74 papers that have together received 3.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Biomedical Text Mining and Ontologies (13 papers), Machine Learning in Materials Science (12 papers), Bioinformatics and Genomic Networks (9 papers), Protein Structure and Dynamics (8 papers), Network Security and Intrusion Detection (6 papers), Anomaly Detection Techniques and Applications (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Pharmacology (255 citations), Toxicology (97 citations), Organic Chemistry (559 citations) and Molecular Biology (1.3k citations). Chengkun Wu has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Dongsheng Cao, Tingjun Hou, Jiacai Yi, Zhenhua Wu, Xiangxiang Zeng, Zhijiang Yang, Aiping Lü, Chang‐Yu Hsieh, Xiang Chen and Guo‐Li Xiong. Their work appears in journals such as BMC Bioinformatics, Briefings in Bioinformatics, Nucleic Acids Research, Bioinformatics and Molecules.
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.