Su-Ping Deng
Impact in
- Molecular Biology top 10%
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- Genomics and Chromatin Dynamics
Papers in
-
- Bioinformatics and Genomic Networks 13
- Gene expression and cancer classification 7
- Machine Learning in Bioinformatics 6
- Advanced biosensing and bioanalysis techniques 5
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 4
- Protein Structure and Dynamics 3
- Co-authors
- Lin Zhu (7 shared papers)De-Shuang Huang (9 shared papers)Zhu‐Hong You (4 shared papers)De-Shuang Huang (1 shared paper)Wei-Li Guo (3 shared papers)Zhen Ji (1 shared paper)Hongjie Yu (1 shared paper)Chun-Hou Zheng (1 shared paper)
- Journals
- IEEE/ACM Transactions on Computational Biology and Bioinformatics (8 papers)Nano Letters (3 papers)Biosensors and Bioelectronics (2 papers)ACS Nano (2 papers)Database (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Su-Ping Deng
33 papers receiving 952 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 741
- Cancer Research 93
- Computational Theory and Mathematics 93
- Computational Mathematics 2
- Health Information Management 13
Countries citing papers authored by Su-Ping Deng
This map shows the geographic impact of Su-Ping Deng'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 Su-Ping Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su-Ping Deng more than expected).
Fields of papers citing papers by Su-Ping Deng
This network shows the impact of papers produced by Su-Ping Deng. 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 Su-Ping Deng. The network helps show where Su-Ping Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Su-Ping Deng, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 124 | |
| 2 | 2015 | 119 | |
| 3 | 2014 | 96 | |
| 4 | 2015 | 90 | |
| 5 | 2014 | 71 | |
| 6 | 2015 | 60 | |
| 7 | 2015 | 57 | |
| 8 | 2014 | 43 | |
| 9 | 2015 | 37 | |
| 10 | 2019 | 34 | |
| 11 | 2016 | 32 | |
| 12 | 2019 | 23 | |
| 13 | 2025 | 22 | |
| 14 | 2024 | 18 | |
| 15 | 2025 | 17 | |
| 16 | 2016 | 14 | |
| 17 | 2017 | 14 | |
| 18 | 2013 | 12 | |
| 19 | 2010 | 10 | |
| 20 | 2012 | 9 |
About Su-Ping Deng
Su-Ping Deng is a scholar working on Molecular Biology, Biomedical Engineering, Computational Theory and Mathematics, Genetics and Rehabilitation, having authored 34 papers that have together received 961 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (13 papers), Gene expression and cancer classification (7 papers), Machine Learning in Bioinformatics (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (4 papers), Protein Structure and Dynamics (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Molecular Biology (741 citations), Cancer Research (93 citations), Computational Theory and Mathematics (93 citations), Computational Mathematics (2 citations) and Health Information Management (13 citations). Su-Ping Deng has collaborated with scholars based in China, United States and India. Frequent co-authors include Lin Zhu, De-Shuang Huang, Zhu‐Hong You, De-Shuang Huang, Wei-Li Guo, Zhen Ji, Hongjie Yu, Chun-Hou Zheng, De-Shuang Huang and Zhen Shen. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, Nano Letters, Biosensors and Bioelectronics, ACS Nano and Database.
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.