Qing Wei

1.5k citations
140 papers · 981 · h-index 17

Impact in

Papers in

Qing Wei

124 papers receiving 956 citations

Peers

Qing Wei
Comparison fields: 5 of 114
  • Virology 175
  • Aging 35
  • Control and Systems Engineering 244
  • Immunology 127
  • Biomedical Engineering 189
Replace Fabrizio Padula with:
Fabrizio Padula Italy
Xiangyun Liao China
Claude H. Moog France
Huayan Wang China
Alberto Landi Italy
Lijun Zhao China
Xin Zeng China
Qi Zhong China
Michael H. Zhang United States
Michihiro Kawanishi Japan
Qing Wei relative to Fabrizio Padula Italy Fabrizio Padula's profile →
Citations per field
00.5×8.8×
Fabrizio Padula · 1×
Citations per year

Countries citing papers authored by Qing Wei

Since Specialization
Citations

This map shows the geographic impact of Qing 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 Qing Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Wei more than expected).

Fields of papers citing papers by Qing Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing 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 Qing Wei. The network helps show where Qing Wei may publish in the future.

Co-authors

The 25 scholars most cited alongside Qing Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Qing Wei Line = papers co-authored together Qing Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010126
2 200869
3 200844
4
Effect of dietary fish oil on acute light-induced photoreceptor damage in the rat retina.
199443
5 199835
6 202034
7 201827
8 201326
9 201526
10 201824
11 201824
12 202421
13 202120
14 202020
15 201817
16 202117
17 201017
18 199214
19 201714
20 200814

About Qing Wei

Qing Wei is a scholar working on Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering, Aerospace Engineering and Molecular Biology, having authored 140 papers that have together received 981 indexed citations. Recurring topics across this work include Prosthetics and Rehabilitation Robotics (40 papers), Robotic Locomotion and Control (27 papers), Muscle activation and electromyography studies (24 papers), Control and Dynamics of Mobile Robots (12 papers), Soft Robotics and Applications (12 papers), HIV Research and Treatment (11 papers), Teleoperation and Haptic Systems (8 papers) and EEG and Brain-Computer Interfaces (7 papers). The work is most often cited by research in Virology (175 citations), Aging (35 citations), Control and Systems Engineering (244 citations), Immunology (127 citations) and Biomedical Engineering (189 citations). Qing Wei has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Zexiang Li, Hongxu Ma, Ronald Ellis, K. Munz, Patricia N. Fultz, Kendra Schank Smith, Yuan Xing, Haitao Ding, Joan A. Conway and Bruce K. Brown. Their work appears in journals such as IEEE Access, Cancers, AIDS Research and Human Retroviruses, PLoS ONE and American Journal of Clinical Pathology.

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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