Li Cheng

9.6k total citations · 3 hit papers
222 papers, 5.5k citations indexed

About

Li Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanics of Materials. According to data from OpenAlex, Li Cheng has authored 222 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Computer Vision and Pattern Recognition, 36 papers in Artificial Intelligence and 35 papers in Mechanics of Materials. Recurrent topics in Li Cheng's work include Human Pose and Action Recognition (36 papers), Video Surveillance and Tracking Methods (26 papers) and Mechanical Behavior of Composites (23 papers). Li Cheng is often cited by papers focused on Human Pose and Action Recognition (36 papers), Video Surveillance and Tracking Methods (26 papers) and Mechanical Behavior of Composites (23 papers). Li Cheng collaborates with scholars based in China, Singapore and Canada. Li Cheng's co-authors include T.F. Guo, L.M. Tham, Manoj Gupta, Chi Xu, Alex Smola, Wei Ji, Huiqi Li, Minglun Gong, He Zhao and Shohreh Kasaei and has published in prestigious journals such as Nature Communications, Nature Genetics and PLoS ONE.

In The Last Decade

Li Cheng

210 papers receiving 5.3k citations

Hit Papers

Deep Learning for Visual Tracking: A Comprehensive Survey 2021 2026 2022 2024 2021 2022 2024 50 100 150 200 250

Peers

Li Cheng
Comparison fields: 5 of 176
  • Computer Vision and Pattern Recognition 2.8k
  • Mechanical Engineering 880
  • Artificial Intelligence 837
  • Aerospace Engineering 557
  • Control and Systems Engineering 551
Replace Wenping Wang with:
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Wenping Wang China View profile →
Citations per field, relative to Li Cheng
Li Cheng · 1×
Citations per year, relative to Li Cheng
Li Cheng · 1×

Countries citing papers authored by Li Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Li Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Li Cheng. A scholar is included among the top collaborators of Li Cheng 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 Li Cheng. Li Cheng 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 1
2 0
3 0
4
Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications breakdown →
96
5 0
6 1
7 1
8 9
9 1
10 45
11
Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection
16
12 85
13
A BELIEF DEGREE CONSTRAINED PROGRAMMING MODEL FOR MAXIMUM CUT PROBLEM WITH UNCERTAIN EDGE WEIGHTS
2
14
Impounding Deformation Analysis for Jointed Rock Slope Based on Generalized Effective Stress
1
15 116
16 2
17
Riemannian Similarity Learning
14
18
Proximity trajectory planning for net-based space robotic system
1
19
Development of On-Orbit Capture Technology
6
20
Modeling and Simulation of Space Robot System Based on Virtual Prototyping Technology
4

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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