Chih‐Fu Wu

663 total citations
48 papers, 392 citations indexed

About

Chih‐Fu Wu is a scholar working on Social Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Chih‐Fu Wu has authored 48 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Social Psychology, 9 papers in Cognitive Neuroscience and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Chih‐Fu Wu's work include Color perception and design (14 papers), Ergonomics and Musculoskeletal Disorders (7 papers) and Tactile and Sensory Interactions (7 papers). Chih‐Fu Wu is often cited by papers focused on Color perception and design (14 papers), Ergonomics and Musculoskeletal Disorders (7 papers) and Tactile and Sensory Interactions (7 papers). Chih‐Fu Wu collaborates with scholars based in Taiwan, China and United States. Chih‐Fu Wu's co-authors include Kuang-Hua Fuh, Chih‐Chun Lai, Wen-Chou Chen, Ping Yuan, Kaiyi Wang, Dandan Xu, Bohr‐Ran Huang, Zhenbo Zhang, Wen‐Chin Tsen and Maw‐Cherng Suen and has published in prestigious journals such as Advanced Functional Materials, Computers & Education and International Journal of Environmental Research and Public Health.

In The Last Decade

Chih‐Fu Wu

44 papers receiving 380 citations

Peers

Chih‐Fu Wu
Comparison fields: 5 of 95
  • Mechanical Engineering 126
  • Social Psychology 92
  • Biomedical Engineering 91
  • Electrical and Electronic Engineering 77
  • Human-Computer Interaction 44
Xiaozhou Zhou China
Abolfazl Zaraki United Kingdom
Yu-Ming Chang Taiwan
Haihua Liu China
Dong-Wook Lee South Korea
Hsu‐Chan Kuo Taiwan
Yuling Hsu Taiwan
Daniel Stefaniak Germany
Haipeng Mi China
Weimin Liu China
Xiaozhou Zhou China View profile →
Citations per field, relative to Chih‐Fu Wu
Chih‐Fu Wu · 1×
Citations per year, relative to Chih‐Fu Wu
Chih‐Fu Wu · 1×

Countries citing papers authored by Chih‐Fu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Fu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chih‐Fu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Fu Wu. A scholar is included among the top collaborators of Chih‐Fu Wu 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‐Fu Wu. Chih‐Fu Wu 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 0
2 0
3 3
4 3
5 4
6 7
7 3
8 2
9 3
10 6
11 11
12 1
13 3
14 5
15 15
16 16
17 3
18 3
19 4
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