Ben Cao
Impact in
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- Cellular Automata and Applications
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- DNA and Biological Computing
- Advanced biosensing and bioanalysis techniques
Papers in
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- DNA and Biological Computing 21
- Advanced biosensing and bioanalysis techniques 19
- Genomics and Phylogenetic Studies 3
- DNA and Nucleic Acid Chemistry 3
- Machine Learning in Bioinformatics 2
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- Cellular Automata and Applications 8
- Co-authors
- Qiang Zhang (14 shared papers)Bin Wang (20 shared papers)K L Parker (1 shared paper)L. Sylvia (1 shared paper)Ana‐Maria Bamberger (1 shared paper)Shereen Ezzat (1 shared paper)M Wong (1 shared paper)Yanfen Zheng (8 shared papers)
- Journals
- IEEE Transactions on NanoBioscience (3 papers)Current Medicinal Chemistry (2 papers)International Journal of Molecular Sciences (2 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)Computers in Biology and Medicine (2 papers)
- Partner nations
- ChinaNew ZealandSingapore
In The Last Decade
Ben Cao
30 papers receiving 551 citations
Peers
Comparison fields: 5 of 85
- Computational Theory and Mathematics 110
- Molecular Biology 414
- Endocrinology, Diabetes and Metabolism 76
- Genetics 44
- Artificial Intelligence 104
Countries citing papers authored by Ben Cao
This map shows the geographic impact of Ben Cao'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 Ben Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Cao more than expected).
Fields of papers citing papers by Ben Cao
This network shows the impact of papers produced by Ben Cao. 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 Ben Cao. The network helps show where Ben Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Cao, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 106 | |
| 2 | 2020 | 55 | |
| 3 | 2021 | 43 | |
| 4 | 2014 | 40 | |
| 5 | 2022 | 39 | |
| 6 | 1996 | 38 | |
| 7 | 2020 | 33 | |
| 8 | 2023 | 21 | |
| 9 | 2022 | 20 | |
| 10 | 2020 | 19 | |
| 11 | 2013 | 18 | |
| 12 | 2024 | 14 | |
| 13 | 2024 | 13 | |
| 14 | 2023 | 12 | |
| 15 | 2024 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2011 | 8 | |
| 19 | 2024 | 7 | |
| 20 | 2023 | 7 |
About Ben Cao
Ben Cao is a scholar working on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Mechanical Engineering and Ecology, having authored 33 papers that have together received 555 indexed citations. Recurring topics across this work include DNA and Biological Computing (21 papers), Advanced biosensing and bioanalysis techniques (19 papers), Cellular Automata and Applications (8 papers), Algorithms and Data Compression (7 papers), Genomics and Phylogenetic Studies (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Modular Robots and Swarm Intelligence (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Computational Theory and Mathematics (110 citations), Molecular Biology (414 citations), Endocrinology, Diabetes and Metabolism (76 citations), Genetics (44 citations) and Artificial Intelligence (104 citations). Ben Cao has collaborated with scholars based in China, New Zealand and Singapore. Frequent co-authors include Qiang Zhang, Bin Wang, K L Parker, L. Sylvia, Ana‐Maria Bamberger, Shereen Ezzat, M Wong, Yanfen Zheng, Xiaopeng Wei and Shuang Cui. Their work appears in journals such as IEEE Transactions on NanoBioscience, Current Medicinal Chemistry, International Journal of Molecular Sciences, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Computers in Biology and Medicine.
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.