Jing Ye
Impact in
- Epidemiology top 10%
- Cervical Cancer and HPV Research
- Sepsis Diagnosis and Treatment
- Autophagy in Disease and Therapy
Papers in
- Epidemiology 20
- Cervical Cancer and HPV Research 8
- Acute Ischemic Stroke Management 5
- Sepsis Diagnosis and Treatment 2
- Pneumonia and Respiratory Infections 2
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- AI in cancer detection 7
- Speech Recognition and Synthesis 2
- Co-authors
- Xueqi Cheng (1 shared paper)Shenghua Liu (1 shared paper)Bin Zhou (1 shared paper)Bryan Hooi (1 shared paper)Xiaodong Cheng (5 shared papers)Xing Xie (5 shared papers)Weiguo Lü (5 shared papers)Xiaojing Chen (3 shared papers)
- Journals
- BMC Cancer (2 papers)Journal of Zhejiang University SCIENCE B (2 papers)Frontiers in Pharmacology (2 papers)Frontiers in Neuroscience (2 papers)Medicine (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jing Ye
47 papers receiving 758 citations
Peers
Comparison fields: 5 of 84
- Epidemiology 258
- Health Informatics 17
- Artificial Intelligence 206
- Cognitive Neuroscience 39
- Rheumatology 25
Countries citing papers authored by Jing Ye
This map shows the geographic impact of Jing 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 Jing Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Ye more than expected).
Fields of papers citing papers by Jing Ye
This network shows the impact of papers produced by Jing 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 Jing Ye. The network helps show where Jing Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 211 | |
| 2 | 2010 | 78 | |
| 3 | 2023 | 51 | |
| 4 | 2021 | 36 | |
| 5 | 2018 | 32 | |
| 6 | 2019 | 32 | |
| 7 | 2020 | 29 | |
| 8 | 2022 | 26 | |
| 9 | 2017 | 20 | |
| 10 | 2019 | 20 | |
| 11 | 2023 | 20 | |
| 12 | 2015 | 16 | |
| 13 | 2019 | 16 | |
| 14 | 2012 | 14 | |
| 15 | 2018 | 14 | |
| 16 | 2021 | 13 | |
| 17 | 2017 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2023 | 10 | |
| 20 | 2024 | 10 |
About Jing Ye
Jing Ye is a scholar working on Epidemiology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Emergency Medicine, having authored 52 papers that have together received 787 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (8 papers), AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Acute Ischemic Stroke Management (5 papers), Functional Brain Connectivity Studies (5 papers), Sepsis Diagnosis and Treatment (2 papers), Pneumonia and Respiratory Infections (2 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Epidemiology (258 citations), Health Informatics (17 citations), Artificial Intelligence (206 citations), Cognitive Neuroscience (39 citations) and Rheumatology (25 citations). Jing Ye has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xueqi Cheng, Shenghua Liu, Bin Zhou, Bryan Hooi, Xiaodong Cheng, Xing Xie, Weiguo Lü, Xiaojing Chen, Feng Ye and Yifan Cheng. Their work appears in journals such as BMC Cancer, Journal of Zhejiang University SCIENCE B, Frontiers in Pharmacology, Frontiers in Neuroscience and 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.