Jing Yan
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Geriatrics and Gerontology top 10%
Papers in
-
- Intensive Care Unit Cognitive Disorders 4
-
- Artificial Intelligence in Healthcare 4
- Co-authors
- Guolong CaiNingyi XuYu WangGangmin NingJing XiaMolei YanMin ZhuLi Li
- Journals
- Frontiers in Medicine (2 papers)Medicine (2 papers)Frontiers in Pharmacology (2 papers)Scientific Reports (1 paper)Annals of Palliative Medicine (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jing Yan
63 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 162
- Hardware and Architecture 93
- Geriatrics and Gerontology 42
- Health Information Management 47
- Critical Care and Intensive Care Medicine 48
- Computer Vision and Pattern Recognition 151
Countries citing papers authored by Jing Yan
This map shows the geographic impact of Jing Yan'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 Jing Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Yan more than expected).
Fields of papers citing papers by Jing Yan
This network shows the impact of papers produced by Jing Yan. 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 Jing Yan. The network helps show where Jing Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Yan, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 20 | |
| 7 | 2022 | 30 | |
| 8 | 2022 | 0 | |
| 9 | 2021 | 10 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 19 | |
| 12 | 2021 | 11 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 67 | |
| 15 | 2019 | 26 | |
| 16 | 2019 | 19 | |
| 17 | 2015 | 11 | |
| 18 | A computational model for heart failure stratification | 2011 | 3 |
| 19 | 2011 | 19 | |
| 20 | An improved Bayesian network structure learning algorithm and its application in an intelligent B2C portal | 2007 | 4 |
About Jing Yan
Jing Yan is a scholar working on Critical Care and Intensive Care Medicine, Health Information Management, Nephrology, Internal Medicine and Artificial Intelligence, having authored 68 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (10 papers), Respiratory Support and Mechanisms (8 papers), Algorithms and Data Compression (7 papers), Data Mining Algorithms and Applications (5 papers), Artificial Intelligence in Healthcare (4 papers), Intensive Care Unit Cognitive Disorders (4 papers), Rough Sets and Fuzzy Logic (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Hardware and Architecture (93 citations), Geriatrics and Gerontology (42 citations), Health Information Management (47 citations), Critical Care and Intensive Care Medicine (48 citations) and Computer Vision and Pattern Recognition (151 citations). Jing Yan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Guolong Cai, Ningyi Xu, Yu Wang, Gangmin Ning, Jing Xia, Molei Yan, Min Zhu, Li Li, Feng-hsiung Hsu and Bo Wang. Their work appears in journals such as Frontiers in Medicine, Medicine, Frontiers in Pharmacology, Scientific Reports and Annals of Palliative Medicine.
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.