Xin Ye

129 papers receiving 1.3k citations

Peers

Xin Ye
Comparison fields: 5 of 119
  • Orthopedics and Sports Medicine 346
  • Complementary and alternative medicine 197
  • Rehabilitation 74
  • Family Practice 14
  • Cardiology and Cardiovascular Medicine 147
Replace Jens Steen Nielsen with:
Jens Steen Nielsen Denmark
Kai Röecker Germany
Teruhiko Koike Japan
Jesse C. Craig United States
Karl Ludwig Resch Austria
Hans Rosdahl Sweden
Daniel Moreira‐Gonçalves Portugal
R. J. Maughan United Kingdom
Junichiro Yamauchi Japan
Bong Yun South Korea
Xin Ye relative to Jens Steen Nielsen Denmark Jens Steen Nielsen's profile →
Citations per field
00.5×4.7×
Jens Steen Nielsen · 1×
Citations per year

Countries citing papers authored by Xin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Xin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200898
2 201282
3 200872
4 201767
5 201944
6 201043
7 201839
8 201437
9 201535
10
Relationship between lifting performance and skeletal muscle mass in elite powerlifters.
201333
11 201428
12 201328
13 202125
14 202122
15 201422
16 201421
17 202120
18 201320
19 201818
20 202217

About Xin Ye

Xin Ye is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Physiology, having authored 138 papers that have together received 1.3k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (34 papers), Sports injuries and prevention (34 papers), Sports Performance and Training (32 papers), Cardiovascular and exercise physiology (10 papers), Exercise and Physiological Responses (7 papers), Motor Control and Adaptation (7 papers), Musculoskeletal pain and rehabilitation (6 papers) and Heart Rate Variability and Autonomic Control (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (346 citations), Complementary and alternative medicine (197 citations), Rehabilitation (74 citations), Family Practice (14 citations) and Cardiology and Cardiovascular Medicine (147 citations). Xin Ye has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Travis W. Beck, Daeyeol Kim, Michael G. Bemben, Jeremy P. Loenneke, Robert S. Thiebaud, Jason M. DeFreitas, Weiming Kang, William M. Miller, Takashi Abe and Matt S. Stock. Their work appears in journals such as The Journal of Strength and Conditioning Research, Journal of Sports Science and Medicine, Muscle & Nerve, PLoS ONE and Sports Medicine and Health Science.

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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