Shuli Guo
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
-
- Indoor and Outdoor Localization Technologies 6
-
- Viral Infections and Immunology Research 3
- Co-authors
- Lina Han (9 shared papers)Tieling Li (3 shared papers)Yue Zhang (1 shared paper)K.‐H. Bellgardt (2 shared papers)K. Schügerl (1 shared paper)Hongwei Liu (1 shared paper)Chun-xi Wang (2 shared papers)Qiming Chen (1 shared paper)
- Journals
- Biomedical Signal Processing and Control (3 papers)Journal of the American College of Cardiology (2 papers)IEEE Sensors Journal (1 paper)Measurement (1 paper)Health Information Science and Systems (1 paper)
- Partner nations
- ChinaUnited KingdomGermany
In The Last Decade
Shuli Guo
33 papers receiving 284 citations
Peers
Comparison fields: 5 of 98
- Health Informatics 8
- Health Information Management 18
- Artificial Intelligence 57
- Geriatrics and Gerontology 7
- Issues, ethics and legal aspects 2
Countries citing papers authored by Shuli Guo
This map shows the geographic impact of Shuli Guo'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 Shuli Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuli Guo more than expected).
Fields of papers citing papers by Shuli Guo
This network shows the impact of papers produced by Shuli Guo. 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 Shuli Guo. The network helps show where Shuli Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuli Guo, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 48 | |
| 2 | 2020 | 48 | |
| 3 | 2016 | 23 | |
| 4 | 2018 | 18 | |
| 5 | 1997 | 14 | |
| 6 | 2018 | 13 | |
| 7 | 2022 | 12 | |
| 8 | 2017 | 12 | |
| 9 | 2024 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2017 | 8 | |
| 12 | 2017 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2024 | 6 | |
| 15 | Experimental drugs for treatment of autoimmune myocarditis. | 2014 | 6 |
| 16 | 2018 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2017 | 4 | |
| 20 | 2016 | 3 |
About Shuli Guo
Shuli Guo is a scholar working on Electrical and Electronic Engineering, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Physiology and Biomedical Engineering, having authored 38 papers that have together received 288 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (6 papers), Viral Infections and Immunology Research (3 papers), Nutrition and Health in Aging (3 papers), Inertial Sensor and Navigation (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Artificial Intelligence in Healthcare (2 papers), Advanced Malware Detection Techniques (2 papers) and Clinical Nutrition and Gastroenterology (2 papers). The work is most often cited by research in Health Informatics (8 citations), Health Information Management (18 citations), Artificial Intelligence (57 citations), Geriatrics and Gerontology (7 citations) and Issues, ethics and legal aspects (2 citations). Shuli Guo has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Lina Han, Tieling Li, Yue Zhang, K.‐H. Bellgardt, K. Schügerl, Hongwei Liu, Chun-xi Wang, Qiming Chen, Guowei Wang and Pingli Lu. Their work appears in journals such as Biomedical Signal Processing and Control, Journal of the American College of Cardiology, IEEE Sensors Journal, Measurement and Health Information Science and Systems.
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.