Ya Lu
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Nutritional Studies and Diet
- Obesity, Physical Activity, Diet
Papers in
-
- Nutritional Studies and Diet 5
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- Image Enhancement Techniques 1
- Co-authors
- Stavroula Mougiakakou (8 shared papers)Thomai Stathopoulou (8 shared papers)Maria F. Vasiloglou (7 shared papers)Stergios Christodoulidis (4 shared papers)Zeno Stanga (4 shared papers)Emilie Reber (2 shared papers)Elias K. Spanakis (1 shared paper)Lillian F. Pinault (1 shared paper)
- Journals
- Nutrients (2 papers)JMIR mhealth and uhealth (2 papers)Sensors (1 paper)IEEE Transactions on Multimedia (1 paper)Measurement (1 paper)
- Partner nations
- SwitzerlandChinaFrance
In The Last Decade
Ya Lu
13 papers receiving 265 citations
Peers
Comparison fields: 5 of 68
- Health Informatics 14
- Public Health, Environmental and Occupational Health 135
- Health Information Management 11
- General Health Professions 49
- Physiology 47
Countries citing papers authored by Ya Lu
This map shows the geographic impact of Ya Lu'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 Ya Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Lu more than expected).
Fields of papers citing papers by Ya Lu
This network shows the impact of papers produced by Ya Lu. 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 Ya Lu. The network helps show where Ya Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 63 | |
| 2 | 2020 | 53 | |
| 3 | 2020 | 43 | |
| 4 | 2021 | 25 | |
| 5 | 2019 | 24 | |
| 6 | 2019 | 23 | |
| 7 | 2020 | 17 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 2 | |
| 11 | 2012 | 1 | |
| 12 | 2018 | 1 | |
| 13 | 2015 | 1 |
About Ya Lu
Ya Lu is a scholar working on Public Health, Environmental and Occupational Health, Computer Vision and Pattern Recognition, Physiology, Biomedical Engineering and General Health Professions, having authored 13 papers that have together received 275 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (5 papers), Mobile Health and mHealth Applications (2 papers), Advanced Chemical Sensor Technologies (2 papers), Nutrition and Health in Aging (2 papers), Diet and metabolism studies (2 papers), Body Composition Measurement Techniques (1 paper), Nonlinear Dynamics and Pattern Formation (1 paper) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Health Informatics (14 citations), Public Health, Environmental and Occupational Health (135 citations), Health Information Management (11 citations), General Health Professions (49 citations) and Physiology (47 citations). Ya Lu has collaborated with scholars based in Switzerland, China and France. Frequent co-authors include Stavroula Mougiakakou, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Zeno Stanga, Emilie Reber, Elias K. Spanakis, Lillian F. Pinault, Wuyi Ming and Hongmei Zhang. Their work appears in journals such as Nutrients, JMIR mhealth and uhealth, Sensors, IEEE Transactions on Multimedia and Measurement.
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.