Haolin Chen
Impact in
- Rehabilitation top 5%
- Wound Healing and Treatments
Papers in
-
- Face and Expression Recognition 3
- Advanced Neural Network Applications 2
- Co-authors
- Jun Wu (2 shared papers)Yifen Fang (1 shared paper)Yanqiu Feng (4 shared papers)Guofa Li (2 shared papers)Junhang Luo (1 shared paper)Shurong Li (1 shared paper)Tianqi Nie (2 shared papers)Huanjun Wang (1 shared paper)
- Journals
- European Radiology (2 papers)Frontiers in Oncology (2 papers)Computer Modeling in Engineering & Sciences (1 paper)Journal of Field Robotics (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Haolin Chen
35 papers receiving 584 citations
Peers
Comparison fields: 5 of 107
- Rehabilitation 77
- Health Informatics 11
- Radiology, Nuclear Medicine and Imaging 161
- Biomaterials 81
- Molecular Medicine 27
Countries citing papers authored by Haolin Chen
This map shows the geographic impact of Haolin 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 Haolin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haolin Chen more than expected).
Fields of papers citing papers by Haolin Chen
This network shows the impact of papers produced by Haolin 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 Haolin Chen. The network helps show where Haolin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Haolin 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 151 | |
| 2 | 2019 | 64 | |
| 3 | 2021 | 52 | |
| 4 | 2020 | 44 | |
| 5 | 2021 | 36 | |
| 6 | 2019 | 35 | |
| 7 | 2010 | 29 | |
| 8 | 2023 | 25 | |
| 9 | 2022 | 22 | |
| 10 | 2024 | 12 | |
| 11 | 2016 | 11 | |
| 12 | 2016 | 10 | |
| 13 | 2023 | 10 | |
| 14 | 2024 | 9 | |
| 15 | 2024 | 9 | |
| 16 | 2011 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2022 | 6 |
About Haolin Chen
Haolin Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Geophysics and Biomedical Engineering, having authored 40 papers that have together received 590 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Seismic Imaging and Inversion Techniques (5 papers), Face and Expression Recognition (3 papers), Music and Audio Processing (3 papers), Underwater Acoustics Research (3 papers), Nanoplatforms for cancer theranostics (2 papers), Advanced Neural Network Applications (2 papers) and Meningioma and schwannoma management (2 papers). The work is most often cited by research in Rehabilitation (77 citations), Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (161 citations), Biomaterials (81 citations) and Molecular Medicine (27 citations). Haolin Chen has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Jun Wu, Yifen Fang, Yanqiu Feng, Guofa Li, Junhang Luo, Shurong Li, Tianqi Nie, Huanjun Wang, Haohua Yao and Yan Guo. Their work appears in journals such as European Radiology, Frontiers in Oncology, Computer Modeling in Engineering & Sciences, Journal of Field Robotics and Nature Communications.
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.