Chih‐Chun Lai

514 total citations
50 papers, 330 citations indexed

About

Chih‐Chun Lai is a scholar working on Social Psychology, Computational Mechanics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Chih‐Chun Lai has authored 50 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Social Psychology, 11 papers in Computational Mechanics and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Chih‐Chun Lai's work include Color perception and design (11 papers), Fluid Dynamics and Turbulent Flows (5 papers) and Color Science and Applications (5 papers). Chih‐Chun Lai is often cited by papers focused on Color perception and design (11 papers), Fluid Dynamics and Turbulent Flows (5 papers) and Color Science and Applications (5 papers). Chih‐Chun Lai collaborates with scholars based in United Kingdom, Taiwan and China. Chih‐Chun Lai's co-authors include Pei‐Chann Chang, K. Pericleous, Georgi Djambazov, J. Ortega-Casanova, Chih‐Fu Wu, Qinglai Guo, Xue‐Cheng Tai, Magne S. Espedal, Wenbo Xu and Jun Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and AIAA Journal.

In The Last Decade

Chih‐Chun Lai

48 papers receiving 316 citations

Peers

Chih‐Chun Lai
Comparison fields: 5 of 94
  • Social Psychology 65
  • Computational Mechanics 57
  • Biomedical Engineering 51
  • Artificial Intelligence 43
  • Aerospace Engineering 42
Replace Renxi Qiu with:
Renxi Qiu United Kingdom
Liping Yang China
Linlin Liu China
Ian S. Fischer United States
Hye-Young Kim South Korea
Wolfram Luther Germany
Zhenyu Gu China
Daniel Duckworth United States
Zhian Zhang China
Juan A. Nolazco‐Flores Mexico
Renxi Qiu United Kingdom View profile →
Citations per field, relative to Chih‐Chun Lai
Chih‐Chun Lai · 1×
Citations per year, relative to Chih‐Chun Lai
Chih‐Chun Lai · 1×

Countries citing papers authored by Chih‐Chun Lai

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Chun Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chih‐Chun Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Chun Lai. A scholar is included among the top collaborators of Chih‐Chun 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 Chih‐Chun Lai. Chih‐Chun Lai 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
# Work Indexed citations
1 2
2 3
3 3
4 10
5 1
6 1
7 3
8 1
9 16
10 11
11 4
12 7
13 1
14 7
15 54
16 1
17 9
18 21
19 3
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026