Debang Li

589 total citations
22 papers, 311 citations indexed

About

Debang Li is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Debang Li has authored 22 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 9 papers in Oncology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Debang Li's work include Gastric Cancer Management and Outcomes (6 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Visual Attention and Saliency Detection (4 papers). Debang Li is often cited by papers focused on Gastric Cancer Management and Outcomes (6 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Visual Attention and Saliency Detection (4 papers). Debang Li collaborates with scholars based in China and United States. Debang Li's 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 and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Debang Li

22 papers receiving 308 citations

Peers

Debang Li
Comparison fields: 5 of 67
  • Oncology 109
  • Pulmonary and Respiratory Medicine 100
  • Computer Vision and Pattern Recognition 89
  • Surgery 81
  • Artificial Intelligence 51
Replace Hon Ho Yu with:
Hon Ho Yu China
Atsushi Goto Japan
Yoko Kominami Japan
Vikas Singh India
Marina Gorunescu Romania
Michael Wels Germany
Andrea M. Olofson United States
Mohit Mittal United States
Linjie Guo China
Yoshito Takemura Japan
Hon Ho Yu China View profile →
Citations per field, relative to Debang Li
Debang Li · 1×
Citations per year, relative to Debang Li
Debang Li · 1×

Countries citing papers authored by Debang Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Debang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Debang Li. A scholar is included among the top collaborators of Debang 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 Debang Li. Debang Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 3
3 4
4 1
5 25
6 42
7 11
8 36
9 13
10 24
11 8
12 15
13 9
14 18
15 15
16 3
17
A2-RL: Aesthetics Aware Reinforcement Learning for Automatic Image Cropping.
5
18 22
19 6
20 16

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.

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