Will Wu

1.1k citations
28 papers · 803 indexed · h-index 13

Impact in

Papers in

Will Wu

26 papers receiving 759 citations

Peers

Will Wu
Comparison fields: 5 of 64
  • Orthopedics and Sports Medicine 504
  • Developmental and Educational Psychology 544
  • Social Psychology 305
  • Physical Therapy, Sports Therapy and Rehabilitation 63
  • Cognitive Neuroscience 196
Replace Shane G. Frehlich with:
Shane G. Frehlich United States
Tiffany Zachry United States
Rudolf Psotta Czechia
Robert M. Kohl United States
Mark G. Fischman United States
Louisa D. Raisbeck United States
Yuhua Li United States
Reza Abdollahipour Czechia
G.J.P. Savelsbergh United Kingdom
Rafael Sabido Spain
Will Wu relative to Shane G. Frehlich United States Shane G. Frehlich's profile →
Citations per field
00.5×4.3×
Shane G. Frehlich · 1×
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-authorship network

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
#Work
1 20202
2 202013
3 20197
4 201862
5 20181
6 20177
7 201611
8 201538
9 201544
10 201512
11 20144
12 20147
13 20129
14 20120
15 201153
16 201194
17 2011104
18 20119
19 201124
20 2010123

About Will Wu

Will Wu is a scholar working on Orthopedics and Sports Medicine, Developmental and Educational Psychology, Physical Therapy, Sports Therapy and Rehabilitation, Cognitive Neuroscience and Social Psychology, having authored 28 papers that have together received 803 indexed citations. Recurring topics across this work include Sports Performance and Training (18 papers), Sport Psychology and Performance (13 papers), Sports injuries and prevention (7 papers), Motor Control and Adaptation (6 papers), Motivation and Self-Concept in Sports (6 papers), Lower Extremity Biomechanics and Pathologies (5 papers), Muscle activation and electromyography studies (3 papers) and Sports Dynamics and Biomechanics (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (504 citations), Developmental and Educational Psychology (544 citations), Social Psychology (305 citations), Physical Therapy, Sports Therapy and Rehabilitation (63 citations) and Cognitive Neuroscience (196 citations). Will Wu has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Jared M. Porter, Julie A. Partridge, James Becker, Philip M. Anton, Lee E. Brown, Richard A. Magill, Scott W. Ducharme, Kenny Lim, Scott K. Lynn and I‐Hung Khoo. 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, The American Journal of Sports Medicine 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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