Chien‐Yu Lai

560 total citations
19 papers, 394 citations indexed

About

Chien‐Yu Lai is a scholar working on Clinical Psychology, Electrical and Electronic Engineering and Social Psychology. According to data from OpenAlex, Chien‐Yu Lai has authored 19 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Clinical Psychology, 4 papers in Electrical and Electronic Engineering and 3 papers in Social Psychology. Recurrent topics in Chien‐Yu Lai's work include Formal Methods in Verification (3 papers), Indoor and Outdoor Localization Technologies (3 papers) and Health and Well-being Studies (3 papers). Chien‐Yu Lai is often cited by papers focused on Formal Methods in Verification (3 papers), Indoor and Outdoor Localization Technologies (3 papers) and Health and Well-being Studies (3 papers). Chien‐Yu Lai collaborates with scholars based in Taiwan, United States and Colombia. Chien‐Yu Lai's co-authors include Jaclene A. Zauszniewski, Pinchen Yang, Yi‐Chun Yeh, Cheng‐Chung Chen, Mei‐Feng Huang, Carol M. Musil, Patricia E. McDonald, Abir K. Bekhet, Mei‐Sang Yang and Chich‐Hsiu Hung and has published in prestigious journals such as American Journal of Agricultural Economics, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Journal of Clinical Nursing.

In The Last Decade

Chien‐Yu Lai

19 papers receiving 380 citations

Peers

Chien‐Yu Lai
Comparison fields: 5 of 96
  • Clinical Psychology 144
  • Social Psychology 111
  • Public Health, Environmental and Occupational Health 71
  • General Health Professions 68
  • Cognitive Neuroscience 66
Replace Lauren A. Stutts with:
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Michael Brach Germany
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Citations per field, relative to Chien‐Yu Lai
Chien‐Yu Lai · 1×
Citations per year, relative to Chien‐Yu Lai
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Countries citing papers authored by Chien‐Yu Lai

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Yu Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Yu Lai. 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 Chien‐Yu Lai. The network helps show where Chien‐Yu Lai may publish in the future.

Co-authorship network of co-authors of Chien‐Yu Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Yu Lai. A scholar is included among the top collaborators of Chien‐Yu Lai 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 Chien‐Yu Lai. Chien‐Yu Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 5
2 12
3 3
4 2
5 1
6 3
7 3
8 21
9 32
10 4
11
Localization of mobile robots based on omni-directional ultrasonic sensing
4
12 92
13 9
14 29
15 9
16 17
17 44
18 101
19 3

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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2026