Baopu Li

5.0k citations
133 papers · 3.3k indexed · 1 hit paper · h-index 30
Topics
Gastrointestinal Bleeding Diagnosis and Treatment (37 papers)Domain Adaptation and Few-Shot Learning (24 papers)Advanced Neural Network Applications (23 papers)

In The Last Decade

Baopu Li

126 papers receiving 3.2k citations

Hit Papers

Cross-Modality Person Re-Identification With Shared-Speci...2020202620222024202050100150200250

Peers

Baopu Li
Comparison fields: 5 of 131
  • Computer Vision and Pattern Recognition 1.8k
  • Gastroenterology 1.1k
  • Artificial Intelligence 601
  • Oncology 481
  • Media Technology 312
Replace Mussarat Yasmin with:
Mussarat Yasmin Pakistan
Yang Cong China
Tallha Akram Pakistan
Shankar Krishnan United States
Mudassar Raza Pakistan
Shuai Wang China
Muhammad Sharif Pakistan
Majed Alhaisoni Saudi Arabia
Yuan Tian China
Kaveh Pahlavan United States
Baopu Li relative to Mussarat Yasmin Pakistan Mussarat Yasmin's profile →
Citations per field
00.5×8.7×
Mussarat Yasmin · 1×
Citations per year

Countries citing papers authored by Baopu Li

Since Specialization
Citations

This map shows the geographic impact of Baopu 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 Baopu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baopu Li more than expected).

Fields of papers citing papers by Baopu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Baopu 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 Baopu Li. The network helps show where Baopu Li may publish in the future.

Co-authorship network of co-authors of Baopu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Baopu Li. A scholar is included among the top collaborators of Baopu 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 Baopu Li. Baopu 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
#WorkIndexed citations
1 1
2 5
3 1
4 14
5 7
6 5
7 2
8 28
9 18
10 63
11 10
12 51
13 71
14 68
15 4
16 6
17 21
18 183
19 3
20 15

About Baopu Li

Baopu Li is a scholar working on Gastroenterology, Computer Vision and Pattern Recognition and Computational Mathematics, having authored 133 papers that have together received 3.3k indexed citations. Recurring topics across this work include Gastrointestinal Bleeding Diagnosis and Treatment (37 papers), Domain Adaptation and Few-Shot Learning (24 papers) and Advanced Neural Network Applications (23 papers). The work is most often cited by research in Gastroenterology (1.1k citations), Computer Vision and Pattern Recognition (1.8k citations) and Media Technology (312 citations). Baopu Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Max Q.‐H. Meng, Yixuan Yuan, Max Q.-H. Meng, Chao Hu, Jiankun Wang, Shuang Song, Bin Liu, Wanli Ouyang, Yue Wu and Yan Lu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

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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