Li Ming
Impact in
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- scientometrics and bibliometrics research
- Meta-analysis and systematic reviews
Papers in
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- Traditional Chinese Medicine Analysis 5
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- Dermatology and Skin Diseases 3
- Co-authors
- Xiao Zhai (3 shared papers)Qijin Wang (2 shared papers)Xunming Ji (7 shared papers)Qiang Xu (1 shared paper)Jie Huang (1 shared paper)Wenting Liu (1 shared paper)Weikang Zheng (1 shared paper)Zhaocheng Ma (1 shared paper)
- Journals
- Evidence-based Complementary and Alternative Medicine (3 papers)The Lancet (1 paper)BMC Ophthalmology (1 paper)Neurological Research (1 paper)Journal of Cerebral Blood Flow & Metabolism (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Li Ming
42 papers receiving 426 citations
Peers
Comparison fields: 5 of 89
- Statistics, Probability and Uncertainty 58
- Drug Discovery 1
- Complementary and alternative medicine 31
- Neurology 16
- Biochemistry 14
Countries citing papers authored by Li Ming
This map shows the geographic impact of Li Ming'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 Li Ming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Ming more than expected).
Fields of papers citing papers by Li Ming
This network shows the impact of papers produced by Li Ming. 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 Li Ming. The network helps show where Li Ming may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Ming, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 69 | |
| 2 | 2016 | 48 | |
| 3 | 2023 | 44 | |
| 4 | 2016 | 32 | |
| 5 | 2012 | 29 | |
| 6 | 2020 | 29 | |
| 7 | 2014 | 20 | |
| 8 | 2014 | 16 | |
| 9 | 2014 | 16 | |
| 10 | 2018 | 12 | |
| 11 | 2017 | 10 | |
| 12 | 2019 | 9 | |
| 13 | 2023 | 9 | |
| 14 | 2022 | 8 | |
| 15 | Identification and Content Determination of Strictosamide in Lignum Naucleae and its Injection | 2006 | 6 |
| 16 | 2022 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2019 | 5 | |
| 20 | 2022 | 5 |
About Li Ming
Li Ming is a scholar working on Complementary and alternative medicine, Dermatology, Statistics, Probability and Uncertainty, Music and Rheumatology, having authored 49 papers that have together received 433 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (5 papers), Acute Ischemic Stroke Management (3 papers), Dermatology and Skin Diseases (3 papers), Musicology and Musical Analysis (3 papers), Meta-analysis and systematic reviews (2 papers), Urticaria and Related Conditions (2 papers), Supply Chain and Inventory Management (2 papers) and scientometrics and bibliometrics research (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (58 citations), Drug Discovery (1 citation), Complementary and alternative medicine (31 citations), Neurology (16 citations) and Biochemistry (14 citations). Li Ming has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiao Zhai, Qijin Wang, Xunming Ji, Qiang Xu, Jie Huang, Wenting Liu, Weikang Zheng, Zhaocheng Ma, Chuanjie Wu and Wenbo Zhao. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, The Lancet, BMC Ophthalmology, Neurological Research and Journal of Cerebral Blood Flow & Metabolism.
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.