Will Wu

27 papers receiving 789 citations

Peers

Will Wu
Comparison fields: 5 of 44
  • Developmental and Educational Psychology 543
  • Physical Therapy, Sports Therapy and Rehabilitation 103
  • Orthopedics and Sports Medicine 94
  • Cognitive Neuroscience 107
  • Biomedical Engineering 159
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Tiffany Zachry United States
Francisco Javier Moreno Hernández Spain
Veerle Segers Belgium
Woen-Sik Chae South Korea
Jan Mayer Germany
Anthony R.H. Oldham New Zealand
Jaeho Shim United States
Jürgen Pfusterschmied Austria
Jo Verschueren Belgium
Matheus M. Pacheco Brazil
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Citations per year

Countries citing papers authored by Will Wu

Since Specialization
Citations

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

Fields of papers citing papers by Will Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010129
2 2010126
3 2011108
4 201199
5 201867
6 201156
7 201549
8 201540
9 201124
10 201723
11 201415
12 202014
13 201613
14 201311
15 201511
16 20119
17 20129
18 20148
19 20177
20 20197

About Will Wu

Will Wu is a scholar working on Developmental and Educational Psychology, Physical Therapy, Sports Therapy and Rehabilitation, Biomedical Engineering, Cognitive Neuroscience and Social Psychology, having authored 28 papers that have together received 841 indexed citations. Recurring topics across this work include Sport Psychology and Performance (14 papers), Sports Dynamics and Biomechanics (6 papers), Lower Extremity Biomechanics and Pathologies (4 papers), Sports and Physical Education Research (4 papers), Motor Control and Adaptation (3 papers), Tactile and Sensory Interactions (2 papers), Prosthetics and Rehabilitation Robotics (2 papers) and Knee injuries and reconstruction techniques (1 paper). The work is most often cited by research in Developmental and Educational Psychology (543 citations), Physical Therapy, Sports Therapy and Rehabilitation (103 citations), Orthopedics and Sports Medicine (94 citations), Cognitive Neuroscience (107 citations) and Biomedical Engineering (159 citations). Will Wu has collaborated with scholars based in United States and China. Frequent co-authors include Jared Marak Porter, Julie A. Partridge, James Becker, Philip M. Anton, Lee E. Brown, Richard A. Magill, Scott W. Ducharme, Kenny Lim, Scott K. Lynn and Guillermo J. Noffal. Their work appears in journals such as The Journal of Strength and Conditioning Research, Research Quarterly for Exercise and Sport, Medicine & Science in Sports & Exercise, Human Movement Science and International Journal of Sports Science & Coaching.

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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