Yu-Lung Wu

1.1k total citations
56 papers, 750 citations indexed

About

Yu-Lung Wu is a scholar working on Information Systems, Information Systems and Management and Artificial Intelligence. According to data from OpenAlex, Yu-Lung Wu has authored 56 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Information Systems, 14 papers in Information Systems and Management and 14 papers in Artificial Intelligence. Recurrent topics in Yu-Lung Wu's work include Technology Adoption and User Behaviour (14 papers), Data Mining Algorithms and Applications (10 papers) and Digital Marketing and Social Media (9 papers). Yu-Lung Wu is often cited by papers focused on Technology Adoption and User Behaviour (14 papers), Data Mining Algorithms and Applications (10 papers) and Digital Marketing and Social Media (9 papers). Yu-Lung Wu collaborates with scholars based in Taiwan, China and Japan. Yu-Lung Wu's co-authors include Yu‐Hui Tao, Tzung‐Pei Hong, Pei‐Chi Yang, Chun-Hao Chen, Yeong-Chyi Lee, Bin‐Shyan Jong, Jerry Chun‐Wei Lin, Tsong‐Wuu Lin, Shyue-Liang Wang and Yen‐Teh Hsia and has published in prestigious journals such as PLoS ONE, Computers in Human Behavior and Expert Systems with Applications.

In The Last Decade

Yu-Lung Wu

50 papers receiving 679 citations

Peers

Yu-Lung Wu
Yulei Zhang United States
William H. Money United States
Ronald M. Lee United States
Henk G. Sol Netherlands
Yu-Lung Wu
Citations per year, relative to Yu-Lung Wu Yu-Lung Wu (= 1×) peers Tony Cheng-Kui Huang

Countries citing papers authored by Yu-Lung Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Lung Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Lung 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 Yu-Lung Wu. The network helps show where Yu-Lung Wu may publish in the future.

Co-authorship network of co-authors of Yu-Lung Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Lung Wu. A scholar is included among the top collaborators of Yu-Lung 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 Yu-Lung Wu. Yu-Lung 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, Yu-Lung, et al.. (2025). Applying the UTAUT model to explore user behavior in ChatGPT usage. International Journal of Research in Business and Social Science (2147-4478). 14(2). 332–341.
2.
Wu, Yu-Lung, et al.. (2025). Why do I change my health behavior? the role of mobile health monitoring and health consciousness. International Journal of Research in Business and Social Science (2147-4478). 14(3). 281–288.
3.
Wu, Yu-Lung, et al.. (2024). The influence of moderating factors on consumer usage of OTT platforms. International Journal of Business Ecosystem and Strategy (2687-2293). 6(5). 1–16.
6.
Wu, Yu-Lung, et al.. (2017). A comparative review on privacy concerns and safety demands of closed-circuit television among Taiwan, Japan, and the United Kingdom. Journal of Information and Optimization Sciences. 38(1). 173–196. 6 indexed citations
7.
Wu, Yu-Lung, et al.. (2014). User-switching behavior in social network sites: A model perspective with drill-down analyses. Computers in Human Behavior. 33. 92–103. 57 indexed citations
8.
Hong, Tzung‐Pei, et al.. (2011). A multi-level ant-colony mining algorithm for membership functions. Information Sciences. 182(1). 3–14. 16 indexed citations
9.
Wu, Yu-Lung, et al.. (2010). Learning from the past: Measuring Internet banking service quality. 27. 290–295. 2 indexed citations
10.
Wu, Yu-Lung, Yu‐Hui Tao, & Pei‐Chi Yang. (2010). Learning from the past and present: measuring Internet banking service quality. Service Industries Journal. 32(3). 477–497. 26 indexed citations
11.
Wu, Yu-Lung, Yu‐Hui Tao, & Pei‐Chi Yang. (2009). The Discussion on Influence of Website Usability Towards User Acceptability. 1–4. 10 indexed citations
12.
Chen, Chien‐Ming, et al.. (2009). Applying the genetic encoded conceptual graph to grouping learning. Expert Systems with Applications. 37(6). 4103–4118. 22 indexed citations
13.
Tao, Yu‐Hui, Yu-Lung Wu, & Hsin‐Yi Chang. (2008). A Practical Computer Adaptive Testing Model for Small-Scale Scenarios. Educational Technology & Society. 11(3). 259–274. 8 indexed citations
14.
Hong, Tzung‐Pei, et al.. (2008). Extracting membership functions in fuzzy data mining by Ant Colony Systems. 34. 3979–3984. 5 indexed citations
15.
Wu, Yu-Lung, Michael Chang, & Pei‐Chi Yang. (2008). Using fuzzy AHP to evaluate the content of 3G mobile communication value-added service. Journal of Statistics and Management Systems. 11(5). 951–979. 2 indexed citations
16.
Wu, Yu-Lung, Yu‐Hui Tao, & Tien-Chin Wang. (2007). Critical success factors for online C2C auction websites: a consumer's perspective. 54–58. 6 indexed citations
17.
Jong, Bin‐Shyan, et al.. (2006). Dynamic grouping strategies based on a conceptual graph for cooperative learning. IEEE Transactions on Knowledge and Data Engineering. 18(6). 738–747. 23 indexed citations
18.
Jong, Bin‐Shyan, et al.. (2006). Students' Learning Status Evolved from Dynamic Grouping Learning. 20. F2C–26. 2 indexed citations
19.
Wu, Yu-Lung, et al.. (2004). A Web-based virtual reality physics laboratory. 15 indexed citations
20.
Jong, Bin‐Shyan, et al.. (2004). Using VR technology to support the formation of cooperative learning groups. 37–41. 4 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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