Liangping Li
- Oncology top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Artificial Intelligence top 5%
- Molecular Biology
- Co-authors
- Pu WangPeixi LiuXiaogang LiuTyler M. BerzinJeremy R. Glissen BrownYan SongXun XiaoMengtian Tu
- Topics
- Colorectal Cancer Screening and Detection (8 papers)MicroRNA in disease regulation (4 papers)Circular RNAs in diseases (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaGastroenterologyPLoS ONE
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Liangping Li
21 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Oncology 1.1k
- Radiology, Nuclear Medicine and Imaging 714
- Pulmonary and Respiratory Medicine 619
- Artificial Intelligence 413
- Molecular Biology 217
Countries citing papers authored by Liangping Li
This map shows the geographic impact of Liangping 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 Liangping Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangping Li more than expected).
Fields of papers citing papers by Liangping Li
This network shows the impact of papers produced by Liangping 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 Liangping Li. The network helps show where Liangping Li may publish in the future.
Co-authorship network of co-authors of Liangping Li
This figure shows the co-authorship network connecting the top 25 collaborators of Liangping Li. A scholar is included among the top collaborators of Liangping Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liangping Li. Liangping Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 34 | |
| 3 | 7 | |
| 4 | 56 | |
| 5 | 24 | |
| 6 | 150 | |
| 7 | Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised studybreakdown → | 283 |
| 8 | 0 | |
| 9 | Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled studybreakdown → | 546 |
| 10 | 15 | |
| 11 | 4 | |
| 12 | 36 | |
| 13 | Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopybreakdown → | 318 |
| 14 | 45 | |
| 15 | 4 | |
| 16 | 129 | |
| 17 | 5 | |
| 18 | 17 | |
| 19 | 9 | |
| 20 | 5 |
About Liangping Li
Liangping Li is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 1.7k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (8 papers), MicroRNA in disease regulation (4 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Health Informatics (184 citations), Oncology (1.1k citations) and Radiology, Nuclear Medicine and Imaging (714 citations). Liangping Li has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Pu Wang, Peixi Liu, Xiaogang Liu, Tyler M. Berzin, Jeremy R. Glissen Brown, Yan Song, Xun Xiao, Mengtian Tu, Di Zhang and Fei Xiong. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.
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.