Ming Wei

7.0k total citations
5 papers, 140 citations indexed

About

Ming Wei is a scholar working on Infectious Diseases, Neurology and Surgery. According to data from OpenAlex, Ming Wei has authored 5 papers receiving a total of 140 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 2 papers in Neurology and 1 paper in Surgery. Recurrent topics in Ming Wei's work include COVID-19 Clinical Research Studies (2 papers), Long-Term Effects of COVID-19 (2 papers) and Second Language Acquisition and Learning (1 paper). Ming Wei is often cited by papers focused on COVID-19 Clinical Research Studies (2 papers), Long-Term Effects of COVID-19 (2 papers) and Second Language Acquisition and Learning (1 paper). Ming Wei collaborates with scholars based in China and United States. Ming Wei's co-authors include Xianxiang Chen, Qi Zhu, Zhao Wu, Guilin Chen, Hong Zhao, Jiawen Li, Ke Wang, Guiqiang Wang, Chi Zhang and Dongni Hou and has published in prestigious journals such as Biomedicine & Pharmacotherapy, BMJ Open Diabetes Research & Care and Korean journal of anesthesiology.

In The Last Decade

Ming Wei

4 papers receiving 122 citations

Peers

Ming Wei
Comparison fields: 5 of 51
  • Infectious Diseases 80
  • Neurology 45
  • Language and Linguistics 38
  • Literature and Literary Theory 24
  • Developmental and Educational Psychology 17
Replace Carly Harrison with:
Carly Harrison Australia
Gemma Rigau Spain
Leonard Muellner United States
Ilona Golynker United States
William S. Foster United Kingdom
Moshe Matan Israel
Luke Demaitre United States
Laurie Stras United Kingdom
Maria Saridaki Greece
Sara Debulpaep Belgium
Carly Harrison Australia View profile →
Citations per field, relative to Ming Wei
Ming Wei · 1×
Citations per year, relative to Ming Wei
Ming Wei · 1×

Countries citing papers authored by Ming Wei

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ming Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Wei. A scholar is included among the top collaborators of Ming Wei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Wei. Ming Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
# Work Indexed citations
1 0
2 3
3 19
4 72
5
The Interrelatedness of Affective Factors in EFL Learning: An Examination of Motivational Patterns in Relation to Anxiety in China.
46

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.

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