Chih-Chieh Yang

40 papers receiving 680 citations

Peers

Chih-Chieh Yang
Comparison fields: 5 of 124
  • Social Psychology 222
  • Safety, Risk, Reliability and Quality 55
  • Automotive Engineering 72
  • Experimental and Cognitive Psychology 72
  • Management of Technology and Innovation 39
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Becky L. Hooey United States
Abhilash K. Pandya United States
Ahsan Mahmood Pakistan
P. Loslever France
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Meike Jipp Germany
Jianwei Niu China
Wesley E. Woodson Norway
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Chih-Chieh Yang relative to Becky L. Hooey United States Becky L. Hooey's profile →
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Citations per year

Countries citing papers authored by Chih-Chieh Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chih-Chieh Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih-Chieh Yang. 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 Chih-Chieh Yang. The network helps show where Chih-Chieh Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201194
2 201080
3 200371
4 201553
5 200843
6 200739
7 201937
8 201732
9 201131
10 201828
11 202127
12 201326
13 201817
14 201415
15 201513
16 202113
17 20217
18 20226
19 20205
20 20215

About Chih-Chieh Yang

Chih-Chieh Yang is a scholar working on Social Psychology, Experimental and Cognitive Psychology, Automotive Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 698 indexed citations. Recurring topics across this work include Color perception and design (8 papers), Multisensory perception and integration (4 papers), Human-Automation Interaction and Safety (4 papers), Color Science and Applications (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Design Education and Practice (2 papers), Conducting polymers and applications (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Social Psychology (222 citations), Safety, Risk, Reliability and Quality (55 citations), Automotive Engineering (72 citations), Experimental and Cognitive Psychology (72 citations) and Management of Technology and Innovation (39 citations). Chih-Chieh Yang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Meng‐Dar Shieh, Xuegang Ban, Meng‐Huan Lei, Kaan Özbay, Donald L. Fisher, Chun‐Liang Lin, Yu‐Chen Lin, Chen‐Hsen Lee, Hsin‐Chin Shih and Sheng‐Chuan Hu. Their work appears in journals such as Computers & Industrial Engineering, Journal of Intelligent Transportation Systems, The American Journal of Emergency Medicine, Medicine and IEEE Transactions on Vehicular Technology.

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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