Yung‐Ho Suh

1.1k total citations · 1 hit paper
39 papers, 823 citations indexed

About

Yung‐Ho Suh is a scholar working on Information Systems and Management, Sociology and Political Science and Information Systems. According to data from OpenAlex, Yung‐Ho Suh has authored 39 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems and Management, 12 papers in Sociology and Political Science and 9 papers in Information Systems. Recurrent topics in Yung‐Ho Suh's work include Technology Adoption and User Behaviour (15 papers), Digital Marketing and Social Media (10 papers) and Customer Service Quality and Loyalty (8 papers). Yung‐Ho Suh is often cited by papers focused on Technology Adoption and User Behaviour (15 papers), Digital Marketing and Social Media (10 papers) and Customer Service Quality and Loyalty (8 papers). Yung‐Ho Suh collaborates with scholars based in South Korea, United States and Romania. Yung‐Ho Suh's co-authors include Ja‐Chul Gu, Sang‐Chul Lee, Liu Fan, Hyun‐Soo Lee, Sangchul Lee, Fan Liu, Gheorghe Tecuci, Sang‐Chul Lee, Kwang‐Yong Kim and Jinyoung Choi and has published in prestigious journals such as Expert Systems with Applications, Information & Management and Business Process Management Journal.

In The Last Decade

Yung‐Ho Suh

29 papers receiving 722 citations

Hit Papers

Determinants of behaviora... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yung‐Ho Suh South Korea 7 580 405 240 179 150 39 823
Ja‐Chul Gu South Korea 4 526 0.9× 364 0.9× 201 0.8× 154 0.9× 99 0.7× 7 655
Mirsobit Mirusmonov South Korea 2 833 1.4× 592 1.5× 210 0.9× 283 1.6× 181 1.2× 6 1.0k
M.H.L. Kleijnen Netherlands 4 752 1.3× 597 1.5× 336 1.4× 309 1.7× 143 1.0× 5 1.0k
Rodrigo Fernandes Malaquias Brazil 13 492 0.8× 316 0.8× 175 0.7× 161 0.9× 158 1.1× 91 946
Sabah Abdullah Al-Somali Saudi Arabia 8 476 0.8× 257 0.6× 143 0.6× 101 0.6× 119 0.8× 14 637
Julio Jiménez Spain 9 612 1.1× 562 1.4× 215 0.9× 405 2.3× 97 0.6× 11 953
Ma José Martín Spain 9 612 1.1× 563 1.4× 215 0.9× 405 2.3× 95 0.6× 13 959
Nena Lim Australia 10 435 0.8× 361 0.9× 195 0.8× 218 1.2× 57 0.4× 20 759
Mehdi Behboudi Iran 8 456 0.8× 365 0.9× 212 0.9× 165 0.9× 96 0.6× 15 664
Boon‐In Tan Malaysia 6 332 0.6× 237 0.6× 223 0.9× 176 1.0× 221 1.5× 8 753

Countries citing papers authored by Yung‐Ho Suh

Since Specialization
Citations

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

Fields of papers citing papers by Yung‐Ho Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung‐Ho Suh. 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 Yung‐Ho Suh. The network helps show where Yung‐Ho Suh may publish in the future.

Co-authorship network of co-authors of Yung‐Ho Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Ho Suh. A scholar is included among the top collaborators of Yung‐Ho Suh 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 Yung‐Ho Suh. Yung‐Ho Suh 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.
Suh, Yung‐Ho, et al.. (2016). An Application of Artificial Neural Network Models to Portfolio Selection. Journal of Computer Information Systems.
2.
Lee, Sang‐Chul, et al.. (2011). Personal Information Protection Behavior for Information Quality : Health Psychology Theory Perspectives. Journal of the Korean society for quality management. 39(3). 432–443. 4 indexed citations
3.
Choi, Jinyoung, et al.. (2011). The Effect of Quality Circle Activities upon Quality Circle Performance and Business Performance. Journal of the Korean society for quality management. 39(2). 188–198. 3 indexed citations
4.
Lee, Sang‐Chul, et al.. (2010). The Effects of Determinants of Self-determination on Flow of Online Game. Korean Management Science Review. 27(3). 71–86. 2 indexed citations
5.
Lee, Sang Chul, et al.. (2009). The Performance Evaluation on Unique Business of Public Enterprise using the DEA Model. Journal of the Korean society for quality management. 37(3). 65–73.
6.
Gu, Ja‐Chul, Sang‐Chul Lee, & Yung‐Ho Suh. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications. 36(9). 11605–11616. 576 indexed citations breakdown →
7.
Suh, Yung‐Ho, et al.. (2008). The Effect of Management Quality on Firm Performance: Information Technology Effect. Journal of the Korean society for quality management. 36(4). 56–64. 2 indexed citations
8.
Lee, Sangchul, Yung‐Ho Suh, & Sang-Suk Han. (2007). Causal Relationship among Baldrige Health Care Criteria in Korean University Hospitals. Journal of the Korean society for quality management. 35(4). 1–15. 2 indexed citations
9.
Lee, Sang‐Chul, et al.. (2007). Causal Relationship among Business Criteria in Korean National Quality Award. Journal of the Korean society for quality management. 35(3). 55–65. 4 indexed citations
10.
Suh, Yung‐Ho, et al.. (2006). 모바일뱅킹에서의 사용자 수용요인: 확장된 TAM과 Trust를 이용한 실증연구. Asia Pacific Journal of Information Systems. 16(2). 159–181. 8 indexed citations
11.
Lee, Sang‐Chul, et al.. (2006). Developing Instruments for Measuring the Effectiveness of the Korean National Quality Award. Journal of the Korean society for quality management. 34(2). 22–32. 2 indexed citations
12.
Gu, Ja‐Chul, et al.. (2006). Determinants of Effecting Customer Loyalty : Comparison among Korean, Japanese and Chinese Online Game Market. Korean Management Science Review. 23(2). 41–57. 1 indexed citations
13.
Kim, Dohoon, et al.. (2005). An Application of the HoQ Framework to Website Performance Improvement:Case Study of an Online Education Website. Journal of the Korean society for quality management. 33(2). 40–50. 1 indexed citations
14.
Suh, Yung‐Ho, et al.. (2004). An Analyzing the Property Factors of Internet Digital Products Focusing on Customer acceptability of On-line Community Products.. Journal of the Korean society for quality management. 32(4). 15–29. 2 indexed citations
15.
Suh, Yung‐Ho, et al.. (2004). A Study on the Development and Application of the Integrated Quality Models of BSC, EVA, ABC. Journal of the Korean society for quality management. 32(3). 81–93. 1 indexed citations
16.
Lee, Hyunsoo, Y.-J. Lee, & Yung‐Ho Suh. (2004). The Impact of Customer Partnership on CRM Success and New CRM Success: The Role of Relational Systems and Trust. Journal of the Korean society for quality management. 32(1). 21–39. 2 indexed citations
17.
Suh, Yung‐Ho, et al.. (2004). Knowledge Conversion and Practical Use with Information Technology in Korean Companies. Total Quality Management & Business Excellence. 15(3). 279–294. 4 indexed citations
18.
Suh, Yung‐Ho, et al.. (2001). Changes of Plasma Lidocaine Concentrations after Stellate Ganglion Block according to Volume-changes of 1% Lidocaine. The Korean journal of pain. 14(1). 26–31. 5 indexed citations
19.
Lee, Hyunsoo, et al.. (2001). IT Usage for Knowledge Conversion in KM Companies. 3(2). 261–276.
20.
Suh, Yung‐Ho. (1990). Verification of rules in rule-based systems: a tree-based approach. UMI eBooks.

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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