Peng Chen
Impact in
- Analytical Chemistry top 1%
- Spectroscopy and Chemometric Analyses
-
- Emotion and Mood Recognition
Papers in
-
- Protein Structure and Dynamics 29
- Machine Learning in Bioinformatics 22
- RNA and protein synthesis mechanisms 10
- Bioinformatics and Genomic Networks 10
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- Video Surveillance and Tracking Methods 13
- Co-authors
- Bing Wang (62 shared papers)Jun Zhang (36 shared papers)Stefano Nichele (2 shared papers)Jianhua Zhang (3 shared papers)Zhong Yin (2 shared papers)Chengjun Xie (12 shared papers)Jinyan Li (11 shared papers)Wenyan Wang (10 shared papers)
- Journals
- IEEE/ACM Transactions on Computational Biology and Bioinformatics (8 papers)BMC Bioinformatics (8 papers)International Journal of Molecular Sciences (6 papers)Neurocomputing (5 papers)Computers and Electronics in Agriculture (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Peng Chen
196 papers receiving 4.1k citations
Peng Chen's Hit Papers
Peers
Comparison fields: 5 of 184
- Analytical Chemistry 289
- Experimental and Cognitive Psychology 358
- Computational Theory and Mathematics 457
- Plant Science 953
- Toxicology 72
Countries citing papers authored by Peng Chen
This map shows the geographic impact of Peng Chen'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 Peng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Chen more than expected).
Fields of papers citing papers by Peng Chen
This network shows the impact of papers produced by Peng Chen. 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 Peng Chen. The network helps show where Peng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng Chen, 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 209 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review Hit paper breakdown → | 2020 | 533 |
| 2 | 2018 | 153 | |
| 3 | Fe–Mn bimetallic catalyst to activate peroxymonosulfate (PMS) for efficient degradation of tetracycline: Mechanism insights and application for pharmaceutical wastewater Hit paper breakdown → | 2024 | 151 |
| 4 | 2015 | 136 | |
| 5 | 2018 | 135 | |
| 6 | 2019 | 129 | |
| 7 | 2005 | 119 | |
| 8 | 2014 | 110 | |
| 9 | 2020 | 102 | |
| 10 | 2012 | 84 | |
| 11 | 2020 | 76 | |
| 12 | 2018 | 74 | |
| 13 | 2019 | 68 | |
| 14 | 2010 | 68 | |
| 15 | 2020 | 59 | |
| 16 | 2019 | 58 | |
| 17 | 2020 | 55 | |
| 18 | 2021 | 55 | |
| 19 | 2020 | 54 | |
| 20 | 2019 | 53 |
About Peng Chen
Peng Chen is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Plant Science and Artificial Intelligence, having authored 209 papers that have together received 4.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (29 papers), Computational Drug Discovery Methods (23 papers), Machine Learning in Bioinformatics (22 papers), Smart Agriculture and AI (16 papers), Video Surveillance and Tracking Methods (13 papers), Spectroscopy and Chemometric Analyses (11 papers), RNA and protein synthesis mechanisms (10 papers) and Bioinformatics and Genomic Networks (10 papers). The work is most often cited by research in Analytical Chemistry (289 citations), Experimental and Cognitive Psychology (358 citations), Computational Theory and Mathematics (457 citations), Plant Science (953 citations) and Toxicology (72 citations). Peng Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Bing Wang, Jun Zhang, Stefano Nichele, Jianhua Zhang, Zhong Yin, Chengjun Xie, Jinyan Li, Wenyan Wang, Jie Zhang and Rui Li. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, BMC Bioinformatics, International Journal of Molecular Sciences, Neurocomputing and Computers and Electronics in Agriculture.
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.