Jingqi Wang
Impact in
- Toxicology top 5%
- Neurology top 10%
- Peripheral Neuropathies and Disorders
Papers in
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- Biomedical Text Mining and Ontologies 15
-
- Multiple Sclerosis Research Studies 17
- Co-authors
- Hua Xu (21 shared papers)Qiang Wei (4 shared papers)Yaoyun Zhang (15 shared papers)Jingchun Sun (1 shared paper)Yubo Zhou (1 shared paper)Qi Liu (1 shared paper)Jun Xu (7 shared papers)Yonghui Wu (6 shared papers)
- Journals
- Journal of the American Medical Informatics Association (5 papers)Frontiers in Immunology (2 papers)Database (2 papers)BMC Systems Biology (2 papers)Journal of Neuroimmunology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jingqi Wang
66 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 144
- Toxicology 58
- Neurology 194
- Pathology and Forensic Medicine 222
- Health Informatics 16
- Artificial Intelligence 330
Countries citing papers authored by Jingqi Wang
This map shows the geographic impact of Jingqi Wang'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 Jingqi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingqi Wang more than expected).
Fields of papers citing papers by Jingqi Wang
This network shows the impact of papers produced by Jingqi Wang. 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 Jingqi Wang. The network helps show where Jingqi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingqi Wang, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 252 | |
| 2 | 2019 | 85 | |
| 3 | 2016 | 57 | |
| 4 | 2023 | 51 | |
| 5 | 2021 | 42 | |
| 6 | 2016 | 39 | |
| 7 | 2015 | 35 | |
| 8 | 2018 | 33 | |
| 9 | Citation Sentiment Analysis in Clinical Trial Papers. | 2015 | 29 |
| 10 | 2018 | 28 | |
| 11 | 2017 | 27 | |
| 12 | 2016 | 25 | |
| 13 | 2019 | 24 | |
| 14 | 2019 | 24 | |
| 15 | 2021 | 23 | |
| 16 | 2020 | 22 | |
| 17 | 2021 | 21 | |
| 18 | 2016 | 18 | |
| 19 | 2015 | 18 | |
| 20 | 2015 | 16 |
About Jingqi Wang
Jingqi Wang is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Artificial Intelligence, Neurology and Rheumatology, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (17 papers), Biomedical Text Mining and Ontologies (15 papers), Peripheral Neuropathies and Disorders (12 papers), Topic Modeling (12 papers), Systemic Lupus Erythematosus Research (7 papers), Natural Language Processing Techniques (6 papers), Computational Drug Discovery Methods (5 papers) and Urological Disorders and Treatments (4 papers). The work is most often cited by research in Toxicology (58 citations), Neurology (194 citations), Pathology and Forensic Medicine (222 citations), Health Informatics (16 citations) and Artificial Intelligence (330 citations). Jingqi Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hua Xu, Qiang Wei, Yaoyun Zhang, Jingchun Sun, Yubo Zhou, Qi Liu, Jun Xu, Yonghui Wu, Wei Qiu and Allan G. Kermode. Their work appears in journals such as Journal of the American Medical Informatics Association, Frontiers in Immunology, Database, BMC Systems Biology and Journal of Neuroimmunology.
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.