Xinglin Chen
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Aquatic Science top 5%
- Seaweed-derived Bioactive Compounds
Papers in
-
- Adaptive Control of Nonlinear Systems 5
- Iterative Learning Control Systems 5
- Co-authors
- Chengyun Liu (10 shared papers)Peiyuan Zuo (8 shared papers)Xiaofang Zhao (5 shared papers)Songpu Xie (3 shared papers)Yuwei Liu (3 shared papers)Kun Wang (3 shared papers)Hao Zhang (2 shared papers)Runying Zeng (8 shared papers)
- Journals
- PLoS ONE (5 papers)Frontiers in Medicine (3 papers)Scientific Reports (3 papers)Process Biochemistry (2 papers)Journal of Agricultural and Food Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xinglin Chen
74 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 135
- Infectious Diseases 237
- Aquatic Science 74
- Biotechnology 77
- Neurology 90
- Oncology 143
Countries citing papers authored by Xinglin Chen
This map shows the geographic impact of Xinglin 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 Xinglin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinglin Chen more than expected).
Fields of papers citing papers by Xinglin Chen
This network shows the impact of papers produced by Xinglin 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 Xinglin Chen. The network helps show where Xinglin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinglin 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 207 | |
| 2 | 2020 | 88 | |
| 3 | 2014 | 77 | |
| 4 | 2020 | 70 | |
| 5 | 2021 | 56 | |
| 6 | 2015 | 56 | |
| 7 | 2013 | 49 | |
| 8 | 2015 | 46 | |
| 9 | 2009 | 46 | |
| 10 | 2016 | 41 | |
| 11 | 2015 | 40 | |
| 12 | 2020 | 38 | |
| 13 | 2014 | 30 | |
| 14 | 2022 | 23 | |
| 15 | 2014 | 18 | |
| 16 | 2014 | 18 | |
| 17 | 2019 | 17 | |
| 18 | 2016 | 17 | |
| 19 | 2021 | 17 | |
| 20 | 2015 | 16 |
About Xinglin Chen
Xinglin Chen is a scholar working on Molecular Biology, Control and Systems Engineering, Aerospace Engineering, Epidemiology and Artificial Intelligence, having authored 84 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (5 papers), Space Satellite Systems and Control (5 papers), Enzyme Production and Characterization (5 papers), Iterative Learning Control Systems (5 papers), Seaweed-derived Bioactive Compounds (4 papers), Sepsis Diagnosis and Treatment (4 papers), Microbial Metabolites in Food Biotechnology (3 papers) and Renal function and acid-base balance (3 papers). The work is most often cited by research in Infectious Diseases (237 citations), Aquatic Science (74 citations), Biotechnology (77 citations), Neurology (90 citations) and Oncology (143 citations). Xinglin Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Chengyun Liu, Peiyuan Zuo, Xiaofang Zhao, Songpu Xie, Yuwei Liu, Kun Wang, Hao Zhang, Runying Zeng, Meng Zhang and Yuwei Liu. Their work appears in journals such as PLoS ONE, Frontiers in Medicine, Scientific Reports, Process Biochemistry and Journal of Agricultural and Food Chemistry.
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.