Ming Wu

89 papers receiving 1.4k citations

Peers

Ming Wu
Comparison fields: 5 of 111
  • Rehabilitation 450
  • Physical Therapy, Sports Therapy and Rehabilitation 278
  • Psychiatry and Mental health 501
  • Pathology and Forensic Medicine 263
  • Energy Engineering and Power Technology 41
Replace Wei‐Li Hsu with:
Wei‐Li Hsu Taiwan
Prashant K. Jamwal Kazakhstan
Darwin Gouwanda Malaysia
Peter G. Adamczyk United States
Benjamin L. Patritti United States
Hiroaki Kawamoto Japan
Stefano Rossi Italy
N. Peter Reeves United States
Alberto Jardón Spain
Damiano Zanotto United States
Ming Wu relative to Wei‐Li Hsu Taiwan Wei‐Li Hsu's profile →
Citations per field
00.5×6.8×
Wei‐Li Hsu · 1×
Citations per year

Countries citing papers authored by Ming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming Wu, 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 Ming Wu Line = papers co-authored together Ming Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201193
2 201161
3 201254
4 201553
5 200652
6 201750
7 201446
8 201743
9 200641
10 201337
11 201734
12 201733
13 202131
14 201631
15 200629
16 202129
17 201428
18 200928
19 201727
20 201527

About Ming Wu

Ming Wu is a scholar working on Psychiatry and Mental health, Biomedical Engineering, Rehabilitation, Physical Therapy, Sports Therapy and Rehabilitation and Pathology and Forensic Medicine, having authored 97 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cerebral Palsy and Movement Disorders (41 papers), Muscle activation and electromyography studies (25 papers), Stroke Rehabilitation and Recovery (24 papers), Balance, Gait, and Falls Prevention (21 papers), Spinal Cord Injury Research (18 papers), Microgrid Control and Optimization (13 papers), Botulinum Toxin and Related Neurological Disorders (11 papers) and Power Systems and Renewable Energy (9 papers). The work is most often cited by research in Rehabilitation (450 citations), Physical Therapy, Sports Therapy and Rehabilitation (278 citations), Psychiatry and Mental health (501 citations), Pathology and Forensic Medicine (263 citations) and Energy Engineering and Power Technology (41 citations). Ming Wu has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Brian D. Schmit, Jill M. Landry, Sheng‐Che Yen, Janis Kim, T. George Hornby, Heidi Roth, Jennifer H. Kahn, Deborah Gaebler‐Spira, Chao‐Jung Hsu and Keith E. Gordon. Their work appears in journals such as Experimental Brain Research, Journal of Neurophysiology, American Journal of Physical Medicine & Rehabilitation, Gait & Posture and Archives of Physical Medicine and Rehabilitation.

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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