Ming‐Lun Lu

53 papers receiving 1.0k citations

Peers

Ming‐Lun Lu
Comparison fields: 5 of 112
  • Medical Laboratory Technology 98
  • Radiological and Ultrasound Technology 174
  • Pharmacology 570
  • Occupational Therapy 114
  • Social Psychology 299
Replace Brian D. Lowe with:
Brian D. Lowe United States
Xiaopeng Ning United States
Shamsul Bahri Mohd Tamrin Malaysia
Helenice Jane Cote Gil Coury Brazil
Nathan B. Fethke United States
Fred Gerr United States
Stephen Bao United States
M. Douwes Netherlands
Alain Delisle Canada
Morten Wærsted Norway
Ming‐Lun Lu relative to Brian D. Lowe United States Brian D. Lowe's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ming‐Lun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Lun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016154
2 201993
3 201173
4 201363
5 201852
6 201949
7 201645
8 201338
9 201631
10 201931
11 201129
12 201928
13 201525
14 200725
15 202021
16 202221
17 201918
18 201717
19 201317
20 201217

About Ming‐Lun Lu

Ming‐Lun Lu is a scholar working on Pharmacology, Social Psychology, Radiological and Ultrasound Technology, Orthopedics and Sports Medicine and Physical Therapy, Sports Therapy and Rehabilitation, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (38 papers), Ergonomics and Musculoskeletal Disorders (20 papers), Occupational Health and Safety Research (10 papers), Effects of Vibration on Health (8 papers), Balance, Gait, and Falls Prevention (7 papers), Species Distribution and Climate Change (4 papers), Muscle activation and electromyography studies (3 papers) and Occupational Health and Performance (3 papers). The work is most often cited by research in Medical Laboratory Technology (98 citations), Radiological and Ultrasound Technology (174 citations), Pharmacology (570 citations), Occupational Therapy (114 citations) and Social Psychology (299 citations). Ming‐Lun Lu has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Haiou Yang, Scott Haldeman, Dwight Werren, Dean Baker, Brian D. Lowe, Thomas Waters, Edward F. Krieg, John Howard, Vladimir Murashov and Naomi G. Swanson. Their work appears in journals such as Applied Ergonomics, Journal of Occupational and Environmental Medicine, American Journal of Industrial Medicine, Human Factors The Journal of the Human Factors and Ergonomics Society and IEEE Transactions on Human-Machine Systems.

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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