Liqin Wang
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education 4
- Toxicology top 5%
- Pharmacovigilance and Adverse Drug Reactions 8
- Geriatrics and Gerontology top 10%
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- Machine Learning in Healthcare 9
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- Biomedical Text Mining and Ontologies 8
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- Drug-Induced Adverse Reactions 6
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- COVID-19 and Mental Health 4
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- COVID-19 Clinical Research Studies 4
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- Chronic Obstructive Pulmonary Disease (COPD) Research 4
- Co-authors
- Li ZhouSha LiuJacob E. FriedmanXiaoyang ZhouDavid W. BatesHamido FujitaZfania Tom KorachYang Sun
- Journals
- Journal of Biological Chemistry (2 papers)SHILAP Revista de lepidopterología (1 paper)Journal of Cleaner Production (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Liqin Wang
80 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 163
- Health Informatics 90
- Health Information Management 76
- Issues, ethics and legal aspects 19
- Toxicology 42
- Geriatrics and Gerontology 42
Countries citing papers authored by Liqin Wang
This map shows the geographic impact of Liqin 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 Liqin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liqin Wang more than expected).
Fields of papers citing papers by Liqin Wang
This network shows the impact of papers produced by Liqin 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 Liqin Wang. The network helps show where Liqin Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liqin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 23 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 36 | |
| 12 | 2021 | 30 | |
| 13 | 2020 | 17 | |
| 14 | 2020 | 1 | |
| 15 | 2017 | 16 | |
| 16 | 2016 | 13 | |
| 17 | Cloud Computing and Its Application in Library | 2012 | 2 |
| 18 | On the Road Towards Developing a Publicly Available Corpus of De-identified Clinical Texts. | 2012 | 1 |
| 19 | 2012 | 37 | |
| 20 | Identification of binding media by amino acid analysis from a theater in Jiayuguan pass | 2010 | 3 |
About Liqin Wang
Liqin Wang is a scholar working on Health Informatics, Toxicology and Issues, ethics and legal aspects, having authored 84 papers that have together received 1.5k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (9 papers), Biomedical Text Mining and Ontologies (8 papers), Pharmacovigilance and Adverse Drug Reactions (8 papers), Drug-Induced Adverse Reactions (6 papers), COVID-19 and Mental Health (4 papers), COVID-19 Clinical Research Studies (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers) and Artificial Intelligence in Healthcare and Education (4 papers). The work is most often cited by research in Health Informatics (90 citations), Health Information Management (76 citations) and Issues, ethics and legal aspects (19 citations). Liqin Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Li Zhou, Sha Liu, Jacob E. Friedman, Xiaoyang Zhou, David W. Bates, Hamido Fujita, Zfania Tom Korach, Yang Sun, Jeung S. Yun and Dinah Foer. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of Cleaner Production.
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.