Hongsheng Li

41.3k citations
299 papers · 18.6k indexed · 16 hit papers · h-index 63
Topics
Advanced Neural Network Applications (51 papers)Human Pose and Action Recognition (40 papers)Advanced Vision and Imaging (34 papers)
Journals
Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Hongsheng Li

280 papers receiving 18.1k citations

Hit Papers

PointRCNN: 3D Object Proposal Generation and Detection ...20152026201820222019202020152015202050010001.5k

Peers

Hongsheng Li
Comparison fields: 5 of 203
  • Computer Vision and Pattern Recognition 13.9k
  • Artificial Intelligence 3.9k
  • Aerospace Engineering 3.2k
  • Computational Mechanics 1.6k
  • Environmental Engineering 1.5k
Replace Raquel Urtasun with:
Raquel Urtasun Canada
Philip H. S. Torr United Kingdom
Martial Hebert United States
Mohammed Bennamoun Australia
Fisher Yu United States
Ian Reid United Kingdom
Silvio Savarese United States
Bastian Leibe Germany
Xiaojuan Qi China
Deva Ramanan United States
Hongsheng Li relative to Raquel Urtasun Canada Raquel Urtasun's profile →
Citations per field
00.5×1.5×1.9×
Raquel Urtasun · 1×
Citations per year

Countries citing papers authored by Hongsheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Hongsheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongsheng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Hongsheng Li. A scholar is included among the top collaborators of Hongsheng 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 Hongsheng Li. Hongsheng 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 2
2 5
3 0
4 0
5 1
6 1
7 0
8 14
9 0
10 2
11 8
12 7
13 16
14 4
15 59
16
Container: Context Aggregation Networks
12
17
Balanced Meta-Softmax for Long-Tailed Visual Recognition
5
18 3
19 180
20 4

About Hongsheng Li

Hongsheng Li is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 299 papers that have together received 18.6k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (51 papers), Human Pose and Action Recognition (40 papers) and Advanced Vision and Imaging (34 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (13.9k citations), Geology (1.3k citations) and Media Technology (1.3k citations). Hongsheng Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaogang Wang, Shaoshuai Shi, Wanli Ouyang, Zhe Wang, Tong Xiao, Shuai Yi, Rui Zhao, Chaoxu Guo, Li Jiang and Jianping Shi. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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