Shih‐Wei Chou

2.1k total citations
55 papers, 1.5k citations indexed

About

Shih‐Wei Chou is a scholar working on Information Systems and Management, Communication and Sociology and Political Science. According to data from OpenAlex, Shih‐Wei Chou has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Information Systems and Management, 23 papers in Communication and 17 papers in Sociology and Political Science. Recurrent topics in Shih‐Wei Chou's work include Technology Adoption and User Behaviour (28 papers), Knowledge Management and Sharing (23 papers) and Digital Marketing and Social Media (14 papers). Shih‐Wei Chou is often cited by papers focused on Technology Adoption and User Behaviour (28 papers), Knowledge Management and Sharing (23 papers) and Digital Marketing and Social Media (14 papers). Shih‐Wei Chou collaborates with scholars based in Taiwan, United States and Yemen. Shih‐Wei Chou's co-authors include Yu-Chieh Chang, Chien‐Hung Liu, Meng-Jun Hsu, Hui‐Tzu Min, Brian M. McDermott, Angsana A. Techatassanasoontorn, Zongwei Chen, Kumar N. Alagramam, Trieu Nguyen and Shih‐Chang Hsia and has published in prestigious journals such as Journal of Neuroscience, The Journal of Physiology and Computers in Human Behavior.

In The Last Decade

Shih‐Wei Chou

53 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shih‐Wei Chou Taiwan 19 423 340 284 243 235 55 1.5k
Antonio Padilla Meléndez Spain 19 490 1.2× 469 1.4× 175 0.6× 385 1.6× 124 0.5× 74 2.0k
Bouchaïb Bahli Canada 14 750 1.8× 442 1.3× 200 0.7× 296 1.2× 537 2.3× 41 1.7k
Lakshmi Goel United States 19 256 0.6× 385 1.1× 212 0.7× 189 0.8× 132 0.6× 52 1.1k
Bradley C. Wheeler United States 11 239 0.6× 240 0.7× 395 1.4× 262 1.1× 216 0.9× 28 1.2k
Norita Ahmad United Arab Emirates 20 451 1.1× 649 1.9× 202 0.7× 135 0.6× 210 0.9× 59 1.5k
Anthony M. Townsend United States 22 245 0.6× 543 1.6× 635 2.2× 255 1.0× 159 0.7× 98 2.3k
Bruce A. Reinig United States 21 284 0.7× 300 0.9× 616 2.2× 136 0.6× 177 0.8× 65 1.6k
Dawn G. Gregg United States 21 360 0.9× 628 1.8× 276 1.0× 109 0.4× 148 0.6× 49 1.5k
Heng‐Li Yang Taiwan 21 448 1.1× 558 1.6× 434 1.5× 122 0.5× 120 0.5× 76 1.6k

Countries citing papers authored by Shih‐Wei Chou

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Wei Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Wei Chou. 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 Shih‐Wei Chou. The network helps show where Shih‐Wei Chou may publish in the future.

Co-authorship network of co-authors of Shih‐Wei Chou

This figure shows the co-authorship network connecting the top 25 collaborators of Shih‐Wei Chou. A scholar is included among the top collaborators of Shih‐Wei Chou 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 Shih‐Wei Chou. Shih‐Wei Chou 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.
Chou, Shih‐Wei, et al.. (2024). Understanding negative technological use from a self-regulation perspective. Behaviour and Information Technology. 44(12). 2929–2948. 1 indexed citations
2.
Chou, Shih‐Wei, et al.. (2023). Understanding the impact of self-regulation on perceived learning outcomes based on social cognitive theory. Behaviour and Information Technology. 43(6). 1129–1148. 12 indexed citations
3.
Chou, Shih‐Wei & Trieu Nguyen. (2023). Understanding donation intention in live streaming: A dedication-constraint approach. Computers in Human Behavior. 144. 107757–107757. 14 indexed citations
4.
Hsieh, Sheng-Wen, et al.. (2022). Teaching the Concept of Computational Thinking: A STEM-Based Program With Tangible Robots on Project-Based Learning Courses. Frontiers in Psychology. 12. 828568–828568. 21 indexed citations
5.
Chou, Shih‐Wei, et al.. (2021). Content creation intention in digital participation based on identity management on Twitch. Behaviour and Information Technology. 41(12). 2578–2595. 4 indexed citations
6.
Chang, Chia‐Yu, et al.. (2018). Evaluation of Neck Fitness and Balance Performance in Boxers. 15(1). 45–53. 1 indexed citations
7.
Chou, Shih‐Wei, et al.. (2015). Understanding the Success of Software-as-a-Service (SaaS) - The Perspective of Post-Adoption Use. Journal of the Association for Information Systems. 198. 4 indexed citations
8.
Chou, Shih‐Wei, et al.. (2015). The Stereociliary Paracrystal Is a Dynamic Cytoskeletal Scaffold In Vivo. Cell Reports. 13(7). 1287–1294. 19 indexed citations
9.
Chou, Shih‐Wei, Jie Zang, Stephan C. F. Neuhauss, et al.. (2015). Zebrafish Models for the Mechanosensory Hair Cell Dysfunction in Usher Syndrome 3 Reveal That Clarin-1 Is an Essential Hair Bundle Protein. Journal of Neuroscience. 35(28). 10188–10201. 35 indexed citations
10.
Chou, Shih‐Wei, et al.. (2013). Understanding Software-as-a-Service Performance - A Dynamic Capability Perspective. Pacific Asia Conference on Information Systems. 33(7-8). 147–2. 1 indexed citations
11.
Chou, Shih‐Wei, et al.. (2013). Understanding the Antecedents of ERP Implementation Success-The Perspective of Knowledge Transfer. Asia Pacific Management Review. 18(3). 3 indexed citations
12.
Antonellis, Patrick J., Lana M. Pollock, Shih‐Wei Chou, et al.. (2013). ACF7 Is a Hair-Bundle Antecedent, Positioned to Integrate Cuticular Plate Actin and Somatic Tubulin. Journal of Neuroscience. 34(1). 305–312. 29 indexed citations
13.
Chang, Yu-Chieh & Shih‐Wei Chou. (2013). An Empirical Study of Collective Continuance Intention on Virtual Community Page of Social Network Site. Pacific Asia Conference on Information Systems. 84. 2 indexed citations
14.
Chou, Shih‐Wei, et al.. (2012). Understanding The Extended Use Of Erp Based On Individual Differences And Expectation-Confirmation Theory.. Pacific Asia Conference on Information Systems. 11. 2 indexed citations
15.
Chou, Shih‐Wei, et al.. (2010). Understanding OSS development in communities: the perspectives of ideology and knowledge sharing. Behaviour and Information Technology. 30(3). 325–337. 8 indexed citations
16.
Chen, Charles & Shih‐Wei Chou. (2009). Paper 28 Title: THE ENVIRONMENTAL FACTORS AND CONDUCTED FACTORS THAT INFLUENCE THE ERP (ENTERPRISE RESOURCE PLANNING) BENEFITS. Pacific Asia Conference on Information Systems. 7. 2 indexed citations
17.
Chen, Charles & Shih‐Wei Chou. (2009). Impact of Environmental Uncertainty and Organizational Context on ERP Overall Benefits. Pacific Asia journal of the Association for Information Systems. 1(4). 2 indexed citations
18.
Chou, Shih‐Wei, et al.. (2008). The Factors that Affect the Implementation Success of IS. 20. 421–421. 1 indexed citations
19.
Chou, Shih‐Wei & Yu-Chieh Chang. (2006). A Contingency Model of Knowledge Creation. Journal of the Association for Information Systems. 11. 1 indexed citations
20.
Chou, Shih‐Wei, et al.. (2004). Knowledge Creation: Individual and Organizational Perspectives. Journal of Information Science. 30(3). 205–218. 25 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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