Chih‐Hung Wu

3.5k total citations · 1 hit paper
97 papers, 2.6k citations indexed

About

Chih‐Hung Wu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chih‐Hung Wu has authored 97 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 18 papers in Information Systems and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chih‐Hung Wu's work include AI-based Problem Solving and Planning (7 papers), Digital Marketing and Social Media (7 papers) and Technology Adoption and User Behaviour (6 papers). Chih‐Hung Wu is often cited by papers focused on AI-based Problem Solving and Planning (7 papers), Digital Marketing and Social Media (7 papers) and Technology Adoption and User Behaviour (6 papers). Chih‐Hung Wu collaborates with scholars based in Taiwan, Macao and China. Chih‐Hung Wu's co-authors include Betty Chang, Gwo‐Hshiung Tzeng, Wenchang Fang, Yeong-Jia Goo, Yueh‐Min Huang, Bor‐Sen Chen, Chung-Hong Lee, Chih‐Hsing Liu, Tao Huang and Hao-Chiang Koong Lin and has published in prestigious journals such as Bioinformatics, Journal of Hazardous Materials and Environmental Pollution.

In The Last Decade

Chih‐Hung Wu

88 papers receiving 2.5k citations

Hit Papers

Fuzzy DEMATEL method for developing supplier selection cr... 2010 2026 2015 2020 2010 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Fuzzy DEMATEL method for developing supplier selection criteria
    2010 595 citations Chih‐Hung Wu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chih‐Hung Wu Taiwan 25 614 566 334 315 242 97 2.6k
Yi‐Chung Hu Taiwan 30 1.2k 1.9× 699 1.2× 230 0.7× 320 1.0× 446 1.8× 142 2.5k
Sang Chan Park South Korea 33 371 0.6× 433 0.8× 243 0.7× 324 1.0× 333 1.4× 185 3.7k
Ming Tang China 28 1.4k 2.2× 854 1.5× 418 1.3× 352 1.1× 224 0.9× 86 3.6k
Shuai Zhang China 32 485 0.8× 749 1.3× 334 1.0× 243 0.8× 812 3.4× 172 3.7k
Mu‐Chen Chen Taiwan 39 392 0.6× 944 1.7× 454 1.4× 339 1.1× 157 0.6× 112 5.3k
Ibrahim H. Osman Lebanon 31 433 0.7× 952 1.7× 327 1.0× 137 0.4× 202 0.8× 71 4.5k
Changyong Liang China 31 900 1.5× 744 1.3× 165 0.5× 369 1.2× 103 0.4× 144 3.0k
Minghe Sun United States 28 566 0.9× 317 0.6× 434 1.3× 208 0.7× 101 0.4× 140 2.4k
Amy J.C. Trappey Taiwan 36 431 0.7× 639 1.1× 639 1.9× 333 1.1× 248 1.0× 230 4.3k
Mu‐Yen Chen Taiwan 31 712 1.2× 1.1k 2.0× 268 0.8× 819 2.6× 435 1.8× 167 3.9k

Countries citing papers authored by Chih‐Hung Wu

Since Specialization
Citations

This map shows the geographic impact of Chih‐Hung 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‐Hung 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‐Hung Wu more than expected).

Fields of papers citing papers by Chih‐Hung Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Hung Wu. A scholar is included among the top collaborators of Chih‐Hung 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‐Hung Wu. Chih‐Hung 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
1.
Wu, Yenchun Jim, Chih‐Hung Wu, & Kang-Lin Peng. (2025). Effects of Creativity Styles on Learning Engagement and Motivation in STEAM Education. Sustainability. 17(6). 2755–2755. 3 indexed citations
2.
3.
Wu, Chih‐Hung, et al.. (2024). Discovering the critical factors of affecting non-fungible tokens (NFT) purchase intention. International Review of Economics & Finance. 96. 103660–103660. 4 indexed citations
4.
Nie, Min, Chih‐Hung Wu, Guangyu Shi, et al.. (2023). Selenium and Bacillus proteolyticus SES synergistically enhanced ryegrass to remediate Cu–Cd–Cr contaminated soil. Environmental Pollution. 323. 121272–121272. 38 indexed citations
5.
Nie, Min, Miaomiao Cai, Chih‐Hung Wu, et al.. (2023). Selenium-mediated Cr(VI) reduction and SeNPs synthesis accelerated Bacillus cereus SES to remediate Cr contamination. Journal of Hazardous Materials. 457. 131713–131713. 15 indexed citations
6.
Peng, Kang-Lin, et al.. (2023). Space tourism flow generated from social media data. Data in Brief. 48. 109061–109061. 1 indexed citations
7.
Wu, Chih‐Hung, et al.. (2023). Exploration of Applying Pose Estimation Techniques in Table Tennis. Applied Sciences. 13(3). 1896–1896. 13 indexed citations
8.
Wu, Chih‐Hung, et al.. (2023). Critical Factors and Trends in NFT Technology Innovations. Sustainability. 15(9). 7573–7573. 24 indexed citations
9.
Wu, Chih‐Hung, et al.. (2022). Affective Mobile Language Tutoring System for Supporting Language Learning. Frontiers in Psychology. 13. 833327–833327. 13 indexed citations
10.
Lee, Chung-Hong & Chih‐Hung Wu. (2015). Collecting and Mining Big Data for Electric Vehicle Systems Using Battery Modeling Data. 626–631. 25 indexed citations
11.
Wu, Chih‐Hung, et al.. (2015). Review of affective computing in education/learning: Trends and challenges. British Journal of Educational Technology. 47(6). 1304–1323. 94 indexed citations
12.
Wu, Chih‐Hung, et al.. (2013). Fuzzy Control of Target Approaching and Object-Grabbing for a Four-Wheeled Vision-Based Mobile Robot. Journal of Advanced Computational Intelligence and Intelligent Informatics. 17(2). 343–350. 1 indexed citations
13.
Wu, Chih‐Hung, et al.. (2011). Multiobjective H2/H∞ synthetic gene network design based on promoter libraries. Mathematical Biosciences. 233(2). 111–125. 16 indexed citations
14.
Shih, Ya‐Yueh, et al.. (2010). Adopted intention of mobile commerce from TAM perspective: An empirical study of real estate industry. Portland International Conference on Management of Engineering and Technology. 1–3. 1 indexed citations
15.
Chen, Bor‐Sen & Chih‐Hung Wu. (2009). A systematic design method for robust synthetic biology to satisfy design specifications. BMC Systems Biology. 3(1). 66–66. 26 indexed citations
16.
17.
Wu, Chih‐Hung, et al.. (2003). Detection of Spain e-mails by analyzing the distributing behaviors of e-mail servers. 1024–1033. 5 indexed citations
18.
Wu, Chih‐Hung, et al.. (2000). A token-flow paradigm for verification of rule-based expert systems. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 30(4). 616–624. 6 indexed citations
19.
Wu, Chih‐Hung, et al.. (1997). Enhanced high-level Petri nets with multiple colors for knowledge verification/validation of rule-based expert systems. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 27(5). 760–773. 21 indexed citations
20.
Wu, Chih‐Hung & Shie-Jue Lee. (1997). Knowledge verification with an enhanced high-level Petri-Net model. IEEE Expert. 12(5). 73–80. 8 indexed citations

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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