Xiaoping Li
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
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- Endometrial and Cervical Cancer Treatments
Papers in
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- CRISPR and Genetic Engineering 4
- RNA Interference and Gene Delivery 2
- Extracellular vesicles in disease 2
- Surgery 7
- Co-authors
- Shengkai Wu (1 shared paper)Xinggang Wang (1 shared paper)Zhi Chen (1 shared paper)Jianliu Wang (4 shared papers)Xinling Zhang (8 shared papers)Tian Zhong (2 shared papers)Ying Xiao (2 shared papers)Chao Zhang (2 shared papers)
- Journals
- Frontiers in Bioengineering and Biotechnology (2 papers)Vaccines (2 papers)Frontiers in Public Health (1 paper)Stem Cell Research & Therapy (1 paper)Frontiers in Endocrinology (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Xiaoping Li
27 papers receiving 377 citations
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 107
- Obstetrics and Gynecology 30
- Cancer Research 43
- Reproductive Medicine 15
- Media Technology 17
Countries citing papers authored by Xiaoping Li
This map shows the geographic impact of Xiaoping 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 Xiaoping Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Li more than expected).
Fields of papers citing papers by Xiaoping Li
This network shows the impact of papers produced by Xiaoping 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 Xiaoping Li. The network helps show where Xiaoping Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 138 | |
| 2 | 2022 | 47 | |
| 3 | 2023 | 47 | |
| 4 | 2022 | 27 | |
| 5 | 2014 | 19 | |
| 6 | 2008 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2020 | 8 | |
| 11 | 2016 | 8 | |
| 12 | 2015 | 6 | |
| 13 | 2019 | 5 | |
| 14 | 2025 | 4 | |
| 15 | 2025 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2025 | 2 |
About Xiaoping Li
Xiaoping Li is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Cancer Research and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 389 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Sarcoma Diagnosis and Treatment (2 papers), RNA Interference and Gene Delivery (2 papers), Biosensors and Analytical Detection (2 papers), Herpesvirus Infections and Treatments (2 papers), Extracellular vesicles in disease (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (107 citations), Obstetrics and Gynecology (30 citations), Cancer Research (43 citations), Reproductive Medicine (15 citations) and Media Technology (17 citations). Xiaoping Li has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Shengkai Wu, Xinggang Wang, Zhi Chen, Jianliu Wang, Xinling Zhang, Tian Zhong, Ying Xiao, Chao Zhang, Chengliang Yin and Jiawei Zhou. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, Vaccines, Frontiers in Public Health, Stem Cell Research & Therapy and Frontiers in Endocrinology.
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.