Disi Chen

1.5k citations
24 papers · 1.2k · h-index 17

Impact in

Papers in

Disi Chen

24 papers receiving 1.2k citations

Peers

Disi Chen
Comparison fields: 5 of 94
  • Human-Computer Interaction 337
  • Computer Vision and Pattern Recognition 445
  • Cognitive Neuroscience 254
  • Industrial and Manufacturing Engineering 134
  • Control and Systems Engineering 276
Replace Gongfa Li with:
Gongfa Li China
Jun Takamatsu Japan
Di Guo China
Dalin Zhou United Kingdom
Ana-Maria Creţu Canada
Shan Luo United Kingdom
Kui Yuan China
Juntong Yun China
Shahram Payandeh Canada
Berk Çallı United States
Disi Chen relative to Gongfa Li China Gongfa Li's profile →
Citations per field
00.5×1.5×1.8×
Gongfa Li · 1×
Citations per year

Countries citing papers authored by Disi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Disi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Disi Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Disi Chen Line = papers co-authored together Disi Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020160
2 2018105
3 2020104
4 202085
5 201984
6 201977
7 201761
8 201961
9 201959
10 202054
11 201252
12 201951
13 201946
14 201941
15 202040
16 202230
17 201716
18 202313
19 202313
20 201512

About Disi Chen

Disi Chen is a scholar working on Human-Computer Interaction, Biomedical Engineering, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (15 papers), Muscle activation and electromyography studies (11 papers), EEG and Brain-Computer Interfaces (9 papers), Human Pose and Action Recognition (4 papers), Robot Manipulation and Learning (4 papers), Image and Video Stabilization (3 papers), Gait Recognition and Analysis (3 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Human-Computer Interaction (337 citations), Computer Vision and Pattern Recognition (445 citations), Cognitive Neuroscience (254 citations), Industrial and Manufacturing Engineering (134 citations) and Control and Systems Engineering (276 citations). Disi Chen has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Du Jiang, Gongfa Li, Guozhang Jiang, Bo Tao, Gongfa Li, Honghai Liu, Ying Sun, Jianyi Kong, Ying Sun and Haoyi Zhao. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Neural Computing and Applications, Personal and Ubiquitous Computing, Alexandria Engineering Journal and Neural Networks.

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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