Hong Cheng

6.0k citations
232 papers · 3.8k indexed · 2 hit papers · h-index 33
Topics
Prosthetics and Rehabilitation Robotics (54 papers)Muscle activation and electromyography studies (38 papers)Stroke Rehabilitation and Recovery (32 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEChemical Engineering Journal

In The Last Decade

Hong Cheng

214 papers receiving 3.7k citations

Hit Papers

Mutual Graph Learning for Camouflaged Object Detection20212026202220242021202150100150200

Peers

Hong Cheng
Comparison fields: 5 of 158
  • Computer Vision and Pattern Recognition 1.8k
  • Biomedical Engineering 1.1k
  • Artificial Intelligence 585
  • Control and Systems Engineering 514
  • Human-Computer Interaction 474
Replace Růžena Bajcsy with:
Růžena Bajcsy United States
Zhiqiang Zhang China
Toby Sharp United Kingdom
Sethu Vijayakumar United Kingdom
Du Jiang China
Chen Gong China
Hajime Asama Japan
Jianda Han China
Zhaojie Ju United Kingdom
Cristian Sminchisescu United States
Hong Cheng relative to Růžena Bajcsy United States Růžena Bajcsy's profile →
Citations per field
00.5×4.0×
Růžena Bajcsy · 1×
Citations per year

Countries citing papers authored by Hong Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Hong Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Cheng. A scholar is included among the top collaborators of Hong 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 Hong Cheng. Hong 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
#WorkIndexed citations
1 1
2 1
3 0
4 0
5 0
6 10
7 5
8 0
9 3
10 1
11 0
12 3
13 15
14 11
15 1
16 33
17 3
18 1
19 6
20 29

About Hong Cheng

Hong Cheng is a scholar working on Rehabilitation, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 232 papers that have together received 3.8k indexed citations. Recurring topics across this work include Prosthetics and Rehabilitation Robotics (54 papers), Muscle activation and electromyography studies (38 papers) and Stroke Rehabilitation and Recovery (32 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Human-Computer Interaction (474 citations) and Rehabilitation (424 citations). Hong Cheng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zicheng Liu, Rui Huang, Lu Yang, Fan Yang, Jing Qiu, Qiang Zhai, Deng-Ping Fan, Yang Zhao, Xichuan Lin and Qiming Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Chemical Engineering Journal.

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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