Chenchen Qin
Impact in
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- Radiomics and Machine Learning in Medical Imaging
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- Brain Tumor Detection and Classification
- Intracerebral and Subarachnoid Hemorrhage Research
Papers in
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- Electrocatalysts for Energy Conversion 7
- CO2 Reduction Techniques and Catalysts 4
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- T-cell and B-cell Immunology 6
- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 3
- Co-authors
- Dong Ni (5 shared papers)Min Xu (2 shared papers)Anhua Li (2 shared papers)Tianfu Wang (2 shared papers)Xiao Luo (2 shared papers)Yi Wang (1 shared paper)Na Wang (1 shared paper)Xin Yang (1 shared paper)
In The Last Decade
Chenchen Qin
28 papers receiving 360 citations
Peers
Comparison fields: 5 of 74
- Radiology, Nuclear Medicine and Imaging 120
- Neurology 39
- Health Informatics 5
- Artificial Intelligence 119
- Renewable Energy, Sustainability and the Environment 52
Countries citing papers authored by Chenchen Qin
This map shows the geographic impact of Chenchen Qin'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 Chenchen Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenchen Qin more than expected).
Fields of papers citing papers by Chenchen Qin
This network shows the impact of papers produced by Chenchen Qin. 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 Chenchen Qin. The network helps show where Chenchen Qin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenchen Qin, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 130 | |
| 2 | 2022 | 30 | |
| 3 | 2020 | 23 | |
| 4 | 2020 | 16 | |
| 5 | 2023 | 16 | |
| 6 | 2025 | 12 | |
| 7 | 2023 | 12 | |
| 8 | 2021 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2017 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2024 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2024 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2025 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2024 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2022 | 4 |
About Chenchen Qin
Chenchen Qin is a scholar working on Renewable Energy, Sustainability and the Environment, Immunology, Materials Chemistry, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 365 indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (7 papers), T-cell and B-cell Immunology (6 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Immunotherapy and Immune Responses (4 papers), CO2 Reduction Techniques and Catalysts (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Immune Cell Function and Interaction (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (120 citations), Neurology (39 citations), Health Informatics (5 citations), Artificial Intelligence (119 citations) and Renewable Energy, Sustainability and the Environment (52 citations). Chenchen Qin has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Dong Ni, Min Xu, Anhua Li, Tianfu Wang, Xiao Luo, Yi Wang, Na Wang, Xin Yang, Di Lin and Junzhong Wang. Their work appears in journals such as Medical Physics, IEEE Transactions on Medical Imaging, Frontiers in Immunology, Small and Journal of Materials Chemistry A.
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.