Qingfeng Li
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
- Surgery 7
- Reconstructive Facial Surgery Techniques 3
- Tissue Engineering and Regenerative Medicine 2
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- Pluripotent Stem Cells Research 3
- Co-authors
- Thilo L. Schenck (1 shared paper)Konstantin Christoph Koban (1 shared paper)Riccardo E. Giunta (1 shared paper)Zhouxiao Li (1 shared paper)Yangbai Sun (1 shared paper)Yuanyuan Zhang (3 shared papers)Zhirui Jiang (1 shared paper)Guilong Zhang (1 shared paper)
- Journals
- Aesthetic Plastic Surgery (4 papers)Journal of Clinical Medicine (1 paper)Burns & Trauma (1 paper)Nature Aging (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Qingfeng Li
15 papers receiving 304 citations
Qingfeng Li's Hit Papers
Peers
Comparison fields: 5 of 82
- Health Informatics 16
- Dermatology 32
- Aging 5
- Oncology 73
- Cancer Research 38
Countries citing papers authored by Qingfeng Li
This map shows the geographic impact of Qingfeng Li'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 Qingfeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingfeng Li more than expected).
Fields of papers citing papers by Qingfeng Li
This network shows the impact of papers produced by Qingfeng Li. 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 Qingfeng Li. The network helps show where Qingfeng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingfeng Li, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artificial Intelligence in Dermatology Image Analysis: Current Developments and Future Trends Hit paper breakdown → | 2022 | 117 |
| 2 | 2023 | 88 | |
| 3 | 2021 | 20 | |
| 4 | 2022 | 18 | |
| 5 | 2022 | 16 | |
| 6 | 2023 | 15 | |
| 7 | 2024 | 14 | |
| 8 | 2024 | 5 | |
| 9 | 2025 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Qingfeng Li
Qingfeng Li is a scholar working on Surgery, Molecular Biology, Dermatology, Neurology and Epidemiology, having authored 22 papers that have together received 312 indexed citations. Recurring topics across this work include Dermatologic Treatments and Research (4 papers), Neurofibromatosis and Schwannoma Cases (4 papers), Reconstructive Facial Surgery Techniques (3 papers), Facial Rejuvenation and Surgery Techniques (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Pluripotent Stem Cells Research (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Meningioma and schwannoma management (2 papers). The work is most often cited by research in Health Informatics (16 citations), Dermatology (32 citations), Aging (5 citations), Oncology (73 citations) and Cancer Research (38 citations). Qingfeng Li has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Thilo L. Schenck, Konstantin Christoph Koban, Riccardo E. Giunta, Zhouxiao Li, Yangbai Sun, Yuanyuan Zhang, Zhirui Jiang, Guilong Zhang, Qiang Fu and Judith Campisi. Their work appears in journals such as Aesthetic Plastic Surgery, Journal of Clinical Medicine, Burns & Trauma, Nature Aging 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.