Jun Cheng

7.6k total citations · 1 hit paper
318 papers, 5.5k citations indexed

About

Jun Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Jun Cheng has authored 318 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 174 papers in Computer Vision and Pattern Recognition, 54 papers in Artificial Intelligence and 49 papers in Biomedical Engineering. Recurrent topics in Jun Cheng's work include Human Pose and Action Recognition (51 papers), Video Surveillance and Tracking Methods (39 papers) and Advanced Image and Video Retrieval Techniques (35 papers). Jun Cheng is often cited by papers focused on Human Pose and Action Recognition (51 papers), Video Surveillance and Tracking Methods (39 papers) and Advanced Image and Video Retrieval Techniques (35 papers). Jun Cheng collaborates with scholars based in China, Hong Kong and Australia. Jun Cheng's co-authors include Dapeng Tao, Xiping Hu, Bin Hu, Dacheng Tao, Zhaolong Ning, Weifeng Liu, Lei Wang, Qieshi Zhang, Edith C.‐H. Ngai and MengChu Zhou and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Jun Cheng

293 papers receiving 5.3k citations

Hit Papers

Energy-Latency Tradeoff for Energy-Aware Offloading in Mo... 2017 2026 2020 2023 2017 100 200 300 400

Peers

Jun Cheng
Comparison fields: 5 of 177
  • Computer Vision and Pattern Recognition 2.9k
  • Artificial Intelligence 1.4k
  • Computer Networks and Communications 1.1k
  • Electrical and Electronic Engineering 842
  • Biomedical Engineering 728
Replace Gian Luca Foresti with:
Gian Luca Foresti Italy
Dimitrios Hatzinakos Canada
Ling Guan Canada
Xi Li China
Fathi E. Abd El‐Samie Egypt
Amit K. Roy–Chowdhury United States
Song Han United States
Alex C. Kot Singapore
Weibo Liu China
Sergios Theodoridis Greece
Gian Luca Foresti Italy View profile →
Citations per field, relative to Jun Cheng
Jun Cheng · 1×
Citations per year, relative to Jun Cheng
Jun Cheng · 1×

Countries citing papers authored by Jun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Cheng. A scholar is included among the top collaborators of Jun 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 Jun Cheng. Jun 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 2
2 1
3 0
4 2
5 7
6 1
7 4
8 15
9 0
10 9
11 27
12 4
13 18
14 64
15 41
16 117
17 45
18 89
19 61
20 249

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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