Debang Li
Impact in
- Gastroenterology top 10%
- Gastrointestinal Tumor Research and Treatment
-
- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
Papers in
- Co-authors
- Kaiqi Huang (5 shared papers)Junge Zhang (4 shared papers)Yanming Zhou (9 shared papers)Xiaoying Si (5 shared papers)Tao Wan (4 shared papers)Huikai Wu (2 shared papers)Shijie Wang (3 shared papers)Wenhui Qiao (1 shared paper)
- Journals
- IEEE Transactions on Image Processing (2 papers)Oncotarget (2 papers)Scientific Reports (1 paper)Medicine (1 paper)BMC Cancer (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Debang Li
22 papers receiving 308 citations
Peers
Comparison fields: 5 of 67
- Gastroenterology 50
- Computer Vision and Pattern Recognition 89
- Oncology 109
- Hepatology 28
- Pulmonary and Respiratory Medicine 100
Countries citing papers authored by Debang Li
This map shows the geographic impact of Debang 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 Debang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debang Li more than expected).
Fields of papers citing papers by Debang Li
This network shows the impact of papers produced by Debang 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 Debang Li. The network helps show where Debang Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Debang 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 | 2020 | 42 | |
| 2 | 2019 | 36 | |
| 3 | 2017 | 26 | |
| 4 | 2020 | 25 | |
| 5 | 2018 | 24 | |
| 6 | 2017 | 22 | |
| 7 | 2018 | 18 | |
| 8 | 2013 | 16 | |
| 9 | 2018 | 15 | |
| 10 | 2018 | 15 | |
| 11 | 2018 | 13 | |
| 12 | 2020 | 11 | |
| 13 | 2018 | 9 | |
| 14 | 2018 | 8 | |
| 15 | 2015 | 6 | |
| 16 | A2-RL: Aesthetics Aware Reinforcement Learning for Automatic Image Cropping. | 2017 | 5 |
| 17 | 2022 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2024 | 3 |
About Debang Li
Debang Li is a scholar working on Surgery, Oncology, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Gastroenterology, having authored 22 papers that have together received 311 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (6 papers), Pancreatic and Hepatic Oncology Research (5 papers), Visual Attention and Saliency Detection (4 papers), Gastrointestinal Tumor Research and Treatment (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Reproductive System and Pregnancy (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Gastroenterology (50 citations), Computer Vision and Pattern Recognition (89 citations), Oncology (109 citations), Hepatology (28 citations) and Pulmonary and Respiratory Medicine (100 citations). Debang Li has collaborated with scholars based in China and United States. Frequent co-authors include Kaiqi Huang, Junge Zhang, Yanming Zhou, Xiaoying Si, Tao Wan, Huikai Wu, Shijie Wang, Wenhui Qiao, Yufang Leng and Ming–Hsuan Yang. Their work appears in journals such as IEEE Transactions on Image Processing, Oncotarget, Scientific Reports, Medicine and BMC Cancer.
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.