Ming Wei
Impact in
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Language and Linguistics top 10%
- EFL/ESL Teaching and Learning
Papers in
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- COVID-19 Clinical Research Studies 3
- Tuberculosis Research and Epidemiology 1
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- Long-Term Effects of COVID-19 3
- Co-authors
- Xianxiang Chen (1 shared paper)Chi Zhang (1 shared paper)Guilin Chen (1 shared paper)Hong Zhao (1 shared paper)Jiawen Li (1 shared paper)Qi Zhu (1 shared paper)Zhao Wu (1 shared paper)Ke Wang (1 shared paper)
- Journals
- Cellular and Molecular Biology (1 paper)Biomedicine & Pharmacotherapy (1 paper)Clinical and Translational Medicine (1 paper)Korean journal of anesthesiology (1 paper)BMJ Open Diabetes Research & Care (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ming Wei
7 papers receiving 175 citations
Peers
Comparison fields: 5 of 54
- Infectious Diseases 68
- Language and Linguistics 38
- Neurology 48
- Linguistics and Language 11
- Literature and Literary Theory 24
Countries citing papers authored by Ming Wei
This map shows the geographic impact of Ming Wei'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 Ming Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wei more than expected).
Fields of papers citing papers by Ming Wei
This network shows the impact of papers produced by Ming Wei. 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 Ming Wei. The network helps show where Ming Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Wei, 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 | 2020 | 73 | |
| 2 | The Interrelatedness of Affective Factors in EFL Learning: An Examination of Motivational Patterns in Relation to Anxiety in China. | 2007 | 46 |
| 3 | 2020 | 45 | |
| 4 | 2020 | 19 | |
| 5 | 2020 | 6 | |
| 6 | 2022 | 4 | |
| 7 | 2025 | 1 |
About Ming Wei
Ming Wei is a scholar working on Infectious Diseases, Neurology, Clinical Psychology, Surgery and Biological Psychiatry, having authored 7 papers that have together received 194 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Long-Term Effects of COVID-19 (3 papers), COVID-19 and Mental Health (2 papers), Tuberculosis Research and Epidemiology (1 paper), Discourse Analysis in Language Studies (1 paper), Second Language Acquisition and Learning (1 paper), Mycobacterium research and diagnosis (1 paper) and Tryptophan and brain disorders (1 paper). The work is most often cited by research in Infectious Diseases (68 citations), Language and Linguistics (38 citations), Neurology (48 citations), Linguistics and Language (11 citations) and Literature and Literary Theory (24 citations). Ming Wei has collaborated with scholars based in China and United States. Frequent co-authors include Xianxiang Chen, Chi Zhang, Guilin Chen, Hong Zhao, Jiawen Li, Qi Zhu, Zhao Wu, Ke Wang, Guiqiang Wang and Chaomin Wu. Their work appears in journals such as Cellular and Molecular Biology, Biomedicine & Pharmacotherapy, Clinical and Translational Medicine, Korean journal of anesthesiology and BMJ Open Diabetes Research & Care.
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.