Bing Ye

40 papers receiving 824 citations

Peers

Bing Ye
Comparison fields: 5 of 118
  • Rehabilitation 136
  • Psychiatry and Mental health 90
  • Health Informatics 8
  • Computer Vision and Pattern Recognition 117
  • Biomaterials 63
Replace Lin‐Chung Woung with:
Lin‐Chung Woung Taiwan
Lampros Kourtis United States
Martijn de Groot Netherlands
David C. Chen United States
Maria Helena Melo Lima Brazil
Shumin Chen China
Minyoung Lee South Korea
Feifei Huang China
Yuewei Li China
Leslie Mertz United States
Bing Ye relative to Lin‐Chung Woung Taiwan Lin‐Chung Woung's profile →
Citations per field
00.5×4.5×
Lin‐Chung Woung · 1×
Citations per year

Countries citing papers authored by Bing Ye

Since Specialization
Citations

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

Fields of papers citing papers by Bing Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022160
2 2020111
3 201872
4 202243
5 201739
6 201732
7 201731
8 202430
9 202228
10 202227
11 201824
12 201921
13 202120
14 202120
15 201618
16 202017
17 202215
18 202314
19 201614
20 202112

About Bing Ye

Bing Ye is a scholar working on Computer Vision and Pattern Recognition, Psychiatry and Mental health, Rehabilitation, Experimental and Cognitive Psychology and Physical Therapy, Sports Therapy and Rehabilitation, having authored 45 papers that have together received 839 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (7 papers), Context-Aware Activity Recognition Systems (6 papers), Anomaly Detection Techniques and Applications (3 papers), Older Adults Driving Studies (3 papers), Human Mobility and Location-Based Analysis (3 papers), Emotion and Mood Recognition (3 papers), Human Pose and Action Recognition (2 papers) and Urban Transport and Accessibility (2 papers). The work is most often cited by research in Rehabilitation (136 citations), Psychiatry and Mental health (90 citations), Health Informatics (8 citations), Computer Vision and Pattern Recognition (117 citations) and Biomaterials (63 citations). Bing Ye has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Alex Mihailidis, Shehroz S. Khan, Babak Taati, Kristine Newman, Andrea Iaboni, Xiaodong Guo, Belkacem Chikhaoui, Xirui Jing, Tingfang Sun and Qiuyue Ding. Their work appears in journals such as Alzheimer s & Dementia, Advanced Healthcare Materials, Journal of Medical Internet Research, IEEE Access and Journal of Ambient Intelligence and Humanized Computing.

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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