Cong Cai
Impact in
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- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
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- Computational Drug Discovery Methods
Papers in
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- 2D Materials and Applications 5
- MXene and MAX Phase Materials 4
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- Emotion and Mood Recognition 5
- Co-authors
- Yu Zong Chen (7 shared papers)Lianyi Han (6 shared papers)Ji Zhang (2 shared papers)Siaw Ling Lo (2 shared papers)Maxey C. M. Chung (2 shared papers)Jun Xiao (6 shared papers)Changyu Liu (5 shared papers)Hanfeng Guan (4 shared papers)
- Journals
- Physical review. B. (4 papers)Chemical Engineering Journal (2 papers)International Journal of Biological Macromolecules (2 papers)Physical Review Letters (2 papers)Proteins Structure Function and Bioinformatics (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Cong Cai
60 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 139
- Molecular Biology 480
- Computational Theory and Mathematics 93
- Experimental and Cognitive Psychology 48
- Management, Monitoring, Policy and Law 43
- Atmospheric Science 56
Countries citing papers authored by Cong Cai
This map shows the geographic impact of Cong Cai'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 Cong Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Cai more than expected).
Fields of papers citing papers by Cong Cai
This network shows the impact of papers produced by Cong Cai. 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 Cong Cai. The network helps show where Cong Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Cai, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 153 | |
| 2 | 2004 | 110 | |
| 3 | 2004 | 81 | |
| 4 | 2018 | 63 | |
| 5 | 2005 | 59 | |
| 6 | 2017 | 50 | |
| 7 | 2019 | 41 | |
| 8 | 2018 | 40 | |
| 9 | 2017 | 39 | |
| 10 | 2022 | 33 | |
| 11 | 2017 | 29 | |
| 12 | 2021 | 25 | |
| 13 | 2020 | 23 | |
| 14 | 2006 | 22 | |
| 15 | 2017 | 21 | |
| 16 | 2021 | 21 | |
| 17 | 2022 | 19 | |
| 18 | 2024 | 19 | |
| 19 | 2018 | 18 | |
| 20 | 2020 | 18 |
About Cong Cai
Cong Cai is a scholar working on Materials Chemistry, Experimental and Cognitive Psychology, Molecular Biology, Mechanics of Materials and Oncology, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (6 papers), Bone Metabolism and Diseases (5 papers), Emotion and Mood Recognition (5 papers), Bone health and treatments (5 papers), 2D Materials and Applications (5 papers), RNA and protein synthesis mechanisms (5 papers), MXene and MAX Phase Materials (4 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Molecular Biology (480 citations), Computational Theory and Mathematics (93 citations), Experimental and Cognitive Psychology (48 citations), Management, Monitoring, Policy and Law (43 citations) and Atmospheric Science (56 citations). Cong Cai has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yu Zong Chen, Lianyi Han, Ji Zhang, Siaw Ling Lo, Maxey C. M. Chung, Jun Xiao, Changyu Liu, Hanfeng Guan, Juan Cui and Zhang Ji. Their work appears in journals such as Physical review. B., Chemical Engineering Journal, International Journal of Biological Macromolecules, Physical Review Letters and Proteins Structure Function and Bioinformatics.
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.