Chenchen Dai
Impact in
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- Electrocatalysts for Energy Conversion
Papers in
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- Renal cell carcinoma treatment 12
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- Electrocatalysts for Energy Conversion 5
- Co-authors
- Jian-jun Zhou (15 shared papers)Yuqin Ding (6 shared papers)Mengsu Zeng (4 shared papers)Jiabiao Lian (4 shared papers)Jun Hou (4 shared papers)Yan Chun Zhao (4 shared papers)Xiaoyi Hu (4 shared papers)Shiliu Yang (5 shared papers)
- Journals
- European Radiology (4 papers)Abdominal Radiology (3 papers)Applied Surface Science (2 papers)Nano Today (1 paper)ACS Materials Letters (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chenchen Dai
29 papers receiving 529 citations
Peers
Comparison fields: 5 of 72
- Renewable Energy, Sustainability and the Environment 104
- Surfaces, Coatings and Films 28
- Electronic, Optical and Magnetic Materials 69
- Radiology, Nuclear Medicine and Imaging 77
- Pulmonary and Respiratory Medicine 92
Countries citing papers authored by Chenchen Dai
This map shows the geographic impact of Chenchen Dai'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 Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenchen Dai more than expected).
Fields of papers citing papers by Chenchen Dai
This network shows the impact of papers produced by Chenchen Dai. 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 Dai. The network helps show where Chenchen Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenchen Dai, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 67 | |
| 2 | 2019 | 45 | |
| 3 | 2020 | 41 | |
| 4 | 2021 | 38 | |
| 5 | 2021 | 32 | |
| 6 | 2022 | 31 | |
| 7 | 2017 | 29 | |
| 8 | 2022 | 28 | |
| 9 | 2024 | 24 | |
| 10 | 2021 | 23 | |
| 11 | 2023 | 22 | |
| 12 | 2022 | 21 | |
| 13 | 2021 | 20 | |
| 14 | 2022 | 16 | |
| 15 | 2025 | 16 | |
| 16 | 2024 | 15 | |
| 17 | 2018 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2018 | 10 | |
| 20 | 2020 | 9 |
About Chenchen Dai
Chenchen Dai is a scholar working on Pulmonary and Respiratory Medicine, Renewable Energy, Sustainability and the Environment, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Biomaterials, having authored 36 papers that have together received 537 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (12 papers), Electrocatalysts for Energy Conversion (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Fuel Cells and Related Materials (3 papers), Advanced battery technologies research (3 papers), MRI in cancer diagnosis (3 papers), Advanced X-ray and CT Imaging (3 papers) and Bladder and Urothelial Cancer Treatments (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (104 citations), Surfaces, Coatings and Films (28 citations), Electronic, Optical and Magnetic Materials (69 citations), Radiology, Nuclear Medicine and Imaging (77 citations) and Pulmonary and Respiratory Medicine (92 citations). Chenchen Dai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jian-jun Zhou, Yuqin Ding, Mengsu Zeng, Jiabiao Lian, Jun Hou, Yan Chun Zhao, Xiaoyi Hu, Shiliu Yang, Guochun Li and Xinhe Liu. Their work appears in journals such as European Radiology, Abdominal Radiology, Applied Surface Science, Nano Today and ACS Materials Letters.
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.