Guang X. Chen

21 papers receiving 565 citations

Peers

Guang X. Chen
Comparison fields: 5 of 90
  • Experimental and Cognitive Psychology 207
  • Safety, Risk, Reliability and Quality 178
  • Radiological and Ultrasound Technology 155
  • General Health Professions 111
  • Transportation 78
Replace Jennifer E. Lincoln with:
Jennifer E. Lincoln United States
Cynthia F. Robinson United States
Jan Birdsey United States
Adam Hege United States
Natalie P. Hartenbaum United States
Angela Corry Australia
Boris Cendales Colombia
Terry L. Bunn United States
Carol Wylie Australia
Georgia Tzamalouka Greece
Guang X. Chen relative to Jennifer E. Lincoln United States Jennifer E. Lincoln's profile →
Citations per field
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Citations per year

Countries citing papers authored by Guang X. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guang X. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang X. Chen. 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 Guang X. Chen. The network helps show where Guang X. Chen may publish in the future.

Co-authorship network of co-authors of Guang X. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Guang X. Chen. A scholar is included among the top collaborators of Guang X. Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guang X. Chen. Guang X. Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 18
4
Vital signs: seat belt use among long-haul truck drivers--United States, 2010.
14
5 88
6 78
7 34
8 196
9 5
10 11
11 19
12 17
13 5
14 7
15 12
16 18
17 8
18 6
19 9
20 31

About Guang X. Chen

Guang X. Chen is a scholar working on Radiological and Ultrasound Technology, Safety, Risk, Reliability and Quality and Experimental and Cognitive Psychology, having authored 21 papers that have together received 592 indexed citations. Recurring topics across this work include Occupational Health and Safety Research (9 papers), Traffic and Road Safety (7 papers) and Agriculture and Farm Safety (6 papers). The work is most often cited by research in Radiological and Ultrasound Technology (155 citations), Safety, Risk, Reliability and Quality (178 citations) and Experimental and Cognitive Psychology (207 citations). Guang X. Chen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include William K. Sieber, Jennifer E. Lincoln, Edward M. Hitchcock, Marie Haring Sweeney, Jan Birdsey, Cynthia F. Robinson, Akinori Nakata, Karl T. Chuang, E. Lynn Jenkins and James W. Collins. Their work appears in journals such as Industrial & Engineering Chemistry Research, Accident Analysis & Prevention and Journal of Orthopaedic Research®.

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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