Ming‐De Chen

1.3k citations
34 papers · 990 · h-index 14

Impact in

Papers in

Ming‐De Chen

29 papers receiving 959 citations

Peers

Ming‐De Chen
Comparison fields: 5 of 89
  • Rehabilitation 239
  • Psychiatry and Mental health 215
  • Physical Therapy, Sports Therapy and Rehabilitation 41
  • Occupational Therapy 36
  • Applied Psychology 27
Replace Thamar J. H. Bovend’Eerdt with:
Thamar J. H. Bovend’Eerdt Netherlands
Anthony H. Lequerica United States
Laurie A. Malone United States
K. Jasmin Canada
Dana K. Fuller United States
Karen McCulloch United States
Ji‐Hyuk Park South Korea
Aviva Zeev Israel
Adam McKay Australia
Alessandra di Cagno Italy
Ming‐De Chen relative to Thamar J. H. Bovend’Eerdt Netherlands Thamar J. H. Bovend’Eerdt's profile →
Citations per field
00.5×3.4×
Thamar J. H. Bovend’Eerdt · 1×
Citations per year

Countries citing papers authored by Ming‐De Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐De Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010133
2 2011111
3 2016106
4 201199
5 201197
6 201670
7 201364
8 201262
9 201638
10 201528
11 201826
12 201519
13 201617
14 201316
15 201313
16 201613
17 202213
18 201713
19 201612
20 201711

About Ming‐De Chen

Ming‐De Chen is a scholar working on Psychiatry and Mental health, Rehabilitation, General Health Professions, Physiology and Physical Therapy, Sports Therapy and Rehabilitation, having authored 34 papers that have together received 990 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (7 papers), Schizophrenia research and treatment (4 papers), Cerebral Palsy and Movement Disorders (4 papers), Mental Health and Patient Involvement (3 papers), Physical Activity and Health (3 papers), Neuroscience and Music Perception (2 papers), Spinal Cord Injury Research (2 papers) and Balance, Gait, and Falls Prevention (2 papers). The work is most often cited by research in Rehabilitation (239 citations), Psychiatry and Mental health (215 citations), Physical Therapy, Sports Therapy and Rehabilitation (41 citations), Occupational Therapy (36 citations) and Applied Psychology (27 citations). Ming‐De Chen has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include James H. Rimmer, Kelly Hsieh, Jana J. Peterson, Jeffrey A. McCubbin, Charles E. Drum, Chieh-ling Yang, Keh‐chung Lin, Ching‐Yi Wu, Jer‐Hao Chang and Chung‐Ying Lin. Their work appears in journals such as Disability and Rehabilitation, BioMed Research International, Mental health and physical activity, American Journal of Occupational Therapy and Physical Therapy.

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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