Chen Yao

914 citations
48 papers · 696 · h-index 13

Impact in

Papers in

Chen Yao

44 papers receiving 667 citations

Peers

Chen Yao
Comparison fields: 5 of 98
  • Health Informatics 21
  • Computer Networks and Communications 188
  • Artificial Intelligence 252
  • Radiology, Nuclear Medicine and Imaging 171
  • Computer Vision and Pattern Recognition 98
Replace Onur Osman with:
Onur Osman Türkiye
Francesco Leporati Italy
Piotr Mardziel United States
Ziming Wang China
Hieu Nguyen United States
Tran Minh Quan South Korea
Emanuele Torti Italy
Pierre Chauvet France
Jin-Gang Yu China
Zijian Zhang China
Chen Yao relative to Onur Osman Türkiye Onur Osman's profile →
Citations per field
00.5×4.7×
Onur Osman · 1×
Citations per year

Countries citing papers authored by Chen Yao

Since Specialization
Citations

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

Fields of papers citing papers by Chen Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chen Yao, 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 Chen Yao Line = papers co-authored together Chen Yao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018179
2 2011172
3 202159
4 201935
5 201523
6 202119
7 202019
8 201918
9 202117
10 200916
11 201116
12 202314
13 202013
14 201312
15 202010
16 20168
17 20218
18
A REVIEW OF METHODS FOR CLASSIFICATION OF REMOTE SENSING IMAGES
20057
19 20214
20
Applications of 3S Technology in Wildlife Habitat Researches
20044

About Chen Yao

Chen Yao is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Cognitive Neuroscience, Artificial Intelligence and Atmospheric Science, having authored 48 papers that have together received 696 indexed citations. Recurring topics across this work include Remote Sensing and Land Use (6 papers), EEG and Brain-Computer Interfaces (6 papers), Advanced Vision and Imaging (4 papers), Image Enhancement Techniques (4 papers), Muscle activation and electromyography studies (4 papers), Environmental Changes in China (4 papers), Neuroscience and Neural Engineering (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Health Informatics (21 citations), Computer Networks and Communications (188 citations), Artificial Intelligence (252 citations), Radiology, Nuclear Medicine and Imaging (171 citations) and Computer Vision and Pattern Recognition (98 citations). Chen Yao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jinhu Lü, Xinghuo Yu, Fengling Han, Yong Pi, Yi Zhang, Yi Chen, Xiaofeng Qi, Qing Lv, Lei Zhang and Ting Wang. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Electronics, IEEE Journal of Biomedical and Health Informatics, IEEE Access and International Journal of Remote Sensing.

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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