Ke Lu

17 papers receiving 300 citations

Peers

Ke Lu
Comparison fields: 5 of 77
  • Medical Laboratory Technology 20
  • Experimental and Cognitive Psychology 69
  • Radiological and Ultrasound Technology 21
  • Social Psychology 82
  • Pharmacology 46
Replace Seikwon Park with:
Seikwon Park South Korea
Hong Jun Eoh South Korea
Jackie Cha United States
John W. Kozey Canada
Hardianto Iridiastadi Indonesia
Peter G. A. M. Jorna Netherlands
George E. Brogmus United States
Mohamed Z. Ramadan Saudi Arabia
Marcus Yung Canada
Sayup Kim South Korea
Ke Lu relative to Seikwon Park South Korea Seikwon Park's profile →
Citations per field
00.5×
Seikwon Park · 1×
Citations per year

Countries citing papers authored by Ke Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ke Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202288
2 201836
3 202033
4 201833
5 201927
6 201817
7 201816
8 201913
9 202112
10 201911
11 201510
12
Big Data a Wearable Sensors Ensuring Safety and Health @Work
20174
13 20242
14 20241
15 20241
16
Wearable Solutions for P-Health at Work : Precise, Pervasive and Preventive
20181
17 20141
18 20250

About Ke Lu

Ke Lu is a scholar working on Biomedical Engineering, Social Psychology, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Pharmacology, having authored 18 papers that have together received 306 indexed citations. Recurring topics across this work include Ergonomics and Musculoskeletal Disorders (5 papers), Non-Invasive Vital Sign Monitoring (4 papers), Heart Rate Variability and Autonomic Control (3 papers), Preterm Birth and Chorioamnionitis (2 papers), Neonatal and fetal brain pathology (2 papers), Sleep and Work-Related Fatigue (2 papers), Musculoskeletal pain and rehabilitation (2 papers) and Optical measurement and interference techniques (1 paper). The work is most often cited by research in Medical Laboratory Technology (20 citations), Experimental and Cognitive Psychology (69 citations), Radiological and Ultrasound Technology (21 citations), Social Psychology (82 citations) and Pharmacology (46 citations). Ke Lu has collaborated with scholars based in Sweden, China and United States. Frequent co-authors include Farhad Abtahi, Stefan Candefjord, Johan Karlsson, Kaj Lindecrantz, Anna Sjörs, Mikael Forsman, Fernando Seoane, Liyun Yang, Jörgen Eklund and Jose A. Diaz-Olivares. Their work appears in journals such as Sensors, Acta Obstetricia Et Gynecologica Scandinavica, The Journal of Maternal-Fetal & Neonatal Medicine, Engineering Applications of Artificial Intelligence and IEEE Transactions on Intelligent Transportation 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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