Bing Ye
Impact in
- Rehabilitation top 5%
- Wound Healing and Treatments
- Health Informatics top 10%
Papers in
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- Dementia and Cognitive Impairment Research 11
-
- Context-Aware Activity Recognition Systems 7
- Co-authors
- Alex Mihailidis (27 shared papers)Shehroz S. Khan (11 shared papers)Babak Taati (2 shared papers)Kristine Newman (9 shared papers)Andrea Iaboni (9 shared papers)Xiaodong Guo (4 shared papers)Tingfang Sun (3 shared papers)Xirui Jing (3 shared papers)
- Journals
- Advanced Healthcare Materials (2 papers)IEEE Access (2 papers)Journal of Ambient Intelligence and Humanized Computing (2 papers)Alzheimer s & Dementia (2 papers)Journal of Medical Internet Research (2 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Bing Ye
37 papers receiving 722 citations
Peers
Comparison fields: 5 of 122
- Rehabilitation 135
- Health Informatics 12
- Psychiatry and Mental health 123
- Applied Psychology 31
- Computer Vision and Pattern Recognition 106
Countries citing papers authored by Bing Ye
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
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.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 147 | |
| 2 | 2020 | 107 | |
| 3 | 2018 | 66 | |
| 4 | 2017 | 39 | |
| 5 | 2022 | 37 | |
| 6 | 2017 | 29 | |
| 7 | 2017 | 25 | |
| 8 | 2024 | 24 | |
| 9 | 2022 | 23 | |
| 10 | 2022 | 23 | |
| 11 | 2018 | 22 | |
| 12 | 2021 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2016 | 16 | |
| 15 | 2019 | 15 | |
| 16 | 2023 | 13 | |
| 17 | 2020 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2017 | 11 |
About Bing Ye
Bing Ye is a scholar working on Psychiatry and Mental health, Computer Vision and Pattern Recognition, Surgery, Artificial Intelligence and Demography, having authored 41 papers that have together received 734 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (11 papers), Context-Aware Activity Recognition Systems (7 papers), Anomaly Detection Techniques and Applications (5 papers), Technology Use by Older Adults (5 papers), Emotion and Mood Recognition (3 papers), Mobile Health and mHealth Applications (3 papers), Human Mobility and Location-Based Analysis (3 papers) and Frailty in Older Adults (3 papers). The work is most often cited by research in Rehabilitation (135 citations), Health Informatics (12 citations), Psychiatry and Mental health (123 citations), Applied Psychology (31 citations) and Computer Vision and Pattern Recognition (106 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, Tingfang Sun, Xirui Jing, Qiuyue Ding and Yanzhen Qu. Their work appears in journals such as Advanced Healthcare Materials, IEEE Access, Journal of Ambient Intelligence and Humanized Computing, Alzheimer s & Dementia and Journal of Medical Internet Research.
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.