L. Chen
Impact in
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- Connective tissue disorders research
- Craniofacial Disorders and Treatments
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- Fibroblast Growth Factor Research
- Epigenetics and DNA Methylation
- Studies on Chitinases and Chitosanases
Papers in
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- Video Surveillance and Tracking Methods 4
- Image and Signal Denoising Methods 2
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- Fibroblast Growth Factor Research 3
- Co-authors
- Zhu Shen (1 shared paper)Jihong Wu (1 shared paper)X. Du (3 shared papers)Nan Su (2 shared papers)Huabing Qi (2 shared papers)Min‐Sun Jin (2 shared papers)Chao Li (2 shared papers)Ya Shen (2 shared papers)
- Journals
- Human Molecular Genetics (3 papers)Engineering Applications of Artificial Intelligence (2 papers)Osteoarthritis and Cartilage (1 paper)IEEE Sensors Journal (1 paper)Journal of Visual Communication and Image Representation (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
L. Chen
12 papers receiving 365 citations
Peers
Comparison fields: 5 of 71
- Genetics 151
- Molecular Biology 246
- Rheumatology 46
- Nephrology 18
- Cell Biology 22
Countries citing papers authored by L. Chen
This map shows the geographic impact of L. 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 L. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Chen more than expected).
Fields of papers citing papers by L. Chen
This network shows the impact of papers produced by L. 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 L. Chen. The network helps show where L. Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside L. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 117 | |
| 2 | 2010 | 81 | |
| 3 | 2008 | 39 | |
| 4 | 2012 | 37 | |
| 5 | 2009 | 36 | |
| 6 | 2014 | 25 | |
| 7 | 2007 | 12 | |
| 8 | 2012 | 11 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 |
About L. Chen
L. Chen is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Genetics, Biomedical Engineering and Oncology, having authored 14 papers that have together received 370 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (4 papers), Gait Recognition and Analysis (3 papers), Connective tissue disorders research (3 papers), Fibroblast Growth Factor Research (3 papers), Image and Signal Denoising Methods (2 papers), Bone health and treatments (2 papers), Advanced Image Fusion Techniques (2 papers) and Copper Interconnects and Reliability (1 paper). The work is most often cited by research in Genetics (151 citations), Molecular Biology (246 citations), Rheumatology (46 citations), Nephrology (18 citations) and Cell Biology (22 citations). L. Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhu Shen, Jihong Wu, X. Du, Nan Su, Huabing Qi, Min‐Sun Jin, Chao Li, Ya Shen, Lei Zhao and Qing He. Their work appears in journals such as Human Molecular Genetics, Engineering Applications of Artificial Intelligence, Osteoarthritis and Cartilage, IEEE Sensors Journal and Journal of Visual Communication and Image Representation.
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.