Ying‐Feng Kuo

4.1k total citations · 1 hit paper
35 papers, 3.1k citations indexed

About

Ying‐Feng Kuo is a scholar working on Information Systems and Management, Sociology and Political Science and Marketing. According to data from OpenAlex, Ying‐Feng Kuo has authored 35 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems and Management, 11 papers in Sociology and Political Science and 11 papers in Marketing. Recurrent topics in Ying‐Feng Kuo's work include Technology Adoption and User Behaviour (16 papers), Digital Marketing and Social Media (11 papers) and Customer Service Quality and Loyalty (11 papers). Ying‐Feng Kuo is often cited by papers focused on Technology Adoption and User Behaviour (16 papers), Digital Marketing and Social Media (11 papers) and Customer Service Quality and Loyalty (11 papers). Ying‐Feng Kuo collaborates with scholars based in Taiwan and United States. Ying‐Feng Kuo's co-authors include Chi-Ming Wu, Wei‐Jaw Deng, Wen‐Chin Chen, Shu‐Chen Yang, Jingyu Chen, Ling-Hsiu Chen, Cathy S. Lin, H. W. Corley, Cecilia Temponi and Ting‐Yu Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Expert Systems with Applications.

In The Last Decade

Ying‐Feng Kuo

34 papers receiving 2.8k citations

Hit Papers

The relationships among service quality, perceived value,... 2009 2026 2014 2020 2009 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying‐Feng Kuo Taiwan 16 1.5k 1.4k 1.4k 1.2k 331 35 3.1k
Robert I. Roundtree United States 5 1.5k 1.0× 1.7k 1.2× 1.6k 1.2× 1.6k 1.3× 479 1.4× 6 3.4k
Sandra Streukens Belgium 21 1.4k 0.9× 1.6k 1.1× 1.3k 0.9× 1.4k 1.1× 576 1.7× 39 3.5k
Sajad Rezaei Malaysia 27 1.6k 1.0× 908 0.7× 1.0k 0.8× 1.5k 1.2× 407 1.2× 62 3.3k
John Pallister United Kingdom 19 1.2k 0.8× 683 0.5× 1.4k 1.0× 860 0.7× 277 0.8× 28 2.7k
Jungkun Park South Korea 34 2.1k 1.4× 1.3k 0.9× 1.5k 1.1× 1.7k 1.4× 254 0.8× 133 3.9k
Gomaa Agag United Kingdom 35 1.7k 1.1× 856 0.6× 1.1k 0.8× 1.7k 1.4× 595 1.8× 70 3.4k
Chechen Liao Taiwan 21 1.7k 1.1× 818 0.6× 1.8k 1.3× 1.2k 0.9× 353 1.1× 37 3.3k
Mirella Kleijnen Netherlands 15 1.3k 0.9× 814 0.6× 969 0.7× 1.3k 1.1× 228 0.7× 28 2.5k
Amit Shankar India 31 1.5k 1.0× 700 0.5× 1.5k 1.1× 1.3k 1.1× 267 0.8× 97 3.2k
Yue Guo China 21 2.0k 1.3× 583 0.4× 1.1k 0.8× 1.2k 1.0× 217 0.7× 57 3.1k

Countries citing papers authored by Ying‐Feng Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Feng Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Feng Kuo. 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 Ying‐Feng Kuo. The network helps show where Ying‐Feng Kuo may publish in the future.

Co-authorship network of co-authors of Ying‐Feng Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Feng Kuo. A scholar is included among the top collaborators of Ying‐Feng Kuo 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 Ying‐Feng Kuo. Ying‐Feng Kuo 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.
Lin, Cathy S., Ying‐Feng Kuo, & Ting‐Yu Wang. (2024). Trust and acceptance of AI caregiving robots: The role of ethics and self-efficacy. SHILAP Revista de lepidopterología. 3. 100115–100115. 4 indexed citations
2.
Kuo, Ying‐Feng, et al.. (2024). Inaction inertia in online shopping: impact of promotional formats and sequence. Journal of Consumer Marketing. 41(4). 439–458.
3.
Kuo, Ying‐Feng, et al.. (2023). The effect of interactivity of brands’ marketing activities on Facebook fan pages on continuous participation intentions: An S–O-R framework study. Journal of Retailing and Consumer Services. 74. 103446–103446. 13 indexed citations
4.
Kuo, Ying‐Feng, et al.. (2022). The inaction inertia effect of different sellers on the same online shopping platform. 70–73. 1 indexed citations
5.
Kuo, Ying‐Feng, et al.. (2021). The effects of framing messages and cause-related marketing on backing intentions in reward-based crowdfunding. Journal of Retailing and Consumer Services. 64. 102799–102799. 22 indexed citations
6.
Kuo, Ying‐Feng, et al.. (2021). The advertising communication effectiveness of using netizen language code-switching in Facebook ads. Internet Research. 31(5). 1940–1962. 10 indexed citations
7.
Kuo, Ying‐Feng, et al.. (2020). The effects of anchoring on backers' pledge in reward-based crowdfunding: evidence from Taiwanese market. Internet Research. 31(2). 635–653. 14 indexed citations
9.
Kuo, Ying‐Feng, et al.. (2014). The Effects of Framing and Cause-Related Marketing on Crowdfunding Sponsors' Intentions. 439–443. 4 indexed citations
10.
Kuo, Ying‐Feng, et al.. (2013). Effects of inertia and satisfaction in female online shoppers on repeat‐purchase intention. Managing Service Quality. 23(3). 168–187. 118 indexed citations
11.
Kuo, Ying‐Feng, Jingyu Chen, & Wei‐Jaw Deng. (2012). IPA–Kano model: A new tool for categorising and diagnosing service quality attributes. Total Quality Management & Business Excellence. 23(7-8). 731–748. 103 indexed citations
12.
Chen, Ling-Hsiu & Ying‐Feng Kuo. (2011). Understanding e-learning service quality of a commercial bank by using Kano's model. Total Quality Management & Business Excellence. 22(1). 99–116. 29 indexed citations
13.
Kuo, Ying‐Feng, Chi-Ming Wu, & Wei‐Jaw Deng. (2009). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Computers in Human Behavior. 25(4). 887–896. 1061 indexed citations breakdown →
14.
Deng, Wei‐Jaw & Ying‐Feng Kuo. (2008). Revised planning matrix of quality function deployment. Service Industries Journal. 28(10). 1445–1462. 8 indexed citations
15.
Kuo, Ying‐Feng, et al.. (2008). Towards an understanding of the behavioral intention to use 3G mobile value-added services. Computers in Human Behavior. 25(1). 103–110. 445 indexed citations
16.
Kuo, Ying‐Feng, et al.. (2007). Constructing performance appraisal indicators for mobility of the service industries using Fuzzy Delphi Method. Expert Systems with Applications. 35(4). 1930–1939. 228 indexed citations
17.
Kuo, Ying‐Feng. (2004). Integrating Kano’s Model into Web- community Service Quality. Total Quality Management & Business Excellence. 15(7). 925–939. 96 indexed citations
18.
Kuo, Ying‐Feng, et al.. (2004). Individual Demographic Differences and Job Satisfaction among Information Technology Personnel: An Empirical Study in Taiwan. 21(2). 221. 36 indexed citations
19.
Kuo, Ying‐Feng. (2003). A study on service quality of virtual community websites. Total Quality Management & Business Excellence. 14(4). 461–473. 103 indexed citations
20.
Temponi, Cecilia, Ying‐Feng Kuo, & H. W. Corley. (1999). A fuzzy neural architecture for customer satisfaction assessment. Journal of Intelligent & Fuzzy Systems. 7(2). 173–183. 3 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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