Choon Seong Leem

967 total citations
54 papers, 603 citations indexed

About

Choon Seong Leem is a scholar working on Management Information Systems, Information Systems and Management and Information Systems. According to data from OpenAlex, Choon Seong Leem has authored 54 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Information Systems, 12 papers in Information Systems and Management and 9 papers in Information Systems. Recurrent topics in Choon Seong Leem's work include Technology Adoption and User Behaviour (12 papers), Information Technology Governance and Strategy (9 papers) and Big Data and Business Intelligence (5 papers). Choon Seong Leem is often cited by papers focused on Technology Adoption and User Behaviour (12 papers), Information Technology Governance and Strategy (9 papers) and Big Data and Business Intelligence (5 papers). Choon Seong Leem collaborates with scholars based in South Korea and United States. Choon Seong Leem's co-authors include David Dornfeld, Sangkyun Kim, Stuart E. Dreyfus, Changho Lee, Kitae Shin, Hong Joo Lee, Eun Yu, Seung Hyun Lee, Jong Hwa Choi and Choonghyun Lee and has published in prestigious journals such as Information Sciences, Sustainability and Mechanical Systems and Signal Processing.

In The Last Decade

Choon Seong Leem

51 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Choon Seong Leem South Korea 15 181 127 100 88 79 54 603
Gerhard Satzger Germany 17 233 1.3× 163 1.3× 131 1.3× 89 1.0× 98 1.2× 100 984
A.R. Venkatachalam United States 10 146 0.8× 127 1.0× 99 1.0× 89 1.0× 57 0.7× 16 513
Rossi France 4 215 1.2× 109 0.9× 120 1.2× 50 0.6× 32 0.4× 14 717
Nor Aziati Abdul Hamid Malaysia 14 165 0.9× 107 0.8× 91 0.9× 40 0.5× 147 1.9× 95 687
Ip‐Shing Fan United Kingdom 14 219 1.2× 109 0.9× 117 1.2× 133 1.5× 37 0.5× 73 630
Dirk Werth Germany 13 229 1.3× 128 1.0× 147 1.5× 111 1.3× 78 1.0× 111 736
Gülfem Işıklar Alptekin Türkiye 11 162 0.9× 110 0.9× 194 1.9× 54 0.6× 58 0.7× 46 821
Aline Dresch Brazil 15 251 1.4× 212 1.7× 92 0.9× 109 1.2× 47 0.6× 31 847
Thorsten Schoormann Germany 12 126 0.7× 127 1.0× 71 0.7× 70 0.8× 36 0.5× 56 516
Benjamin Yen Hong Kong 16 226 1.2× 171 1.3× 67 0.7× 230 2.6× 103 1.3× 73 764

Countries citing papers authored by Choon Seong Leem

Since Specialization
Citations

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

Fields of papers citing papers by Choon Seong Leem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Choon Seong Leem. 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 Choon Seong Leem. The network helps show where Choon Seong Leem may publish in the future.

Co-authorship network of co-authors of Choon Seong Leem

This figure shows the co-authorship network connecting the top 25 collaborators of Choon Seong Leem. A scholar is included among the top collaborators of Choon Seong Leem 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 Choon Seong Leem. Choon Seong Leem 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.
Leem, Choon Seong, et al.. (2021). The Influence of AI Technology Acceptance and Ethical Awareness towards Intention to Use. Journal of Digital Convergence. 19(3). 217–225. 14 indexed citations
2.
Kim, Dong Ha, et al.. (2019). An Industry-Service Classification Development of 5G-based Autonomous Vehicle Applications. The e-Business Studies. 24(2). 91–112. 1 indexed citations
3.
Leem, Choon Seong, et al.. (2018). SWOT Analysis for Small and Medium Enterprise in Smart Factory introduction. Journal of the Korean Chemical Society. 9(3). 1–14. 3 indexed citations
4.
Leem, Choon Seong, et al.. (2018). A Study on the Types and Utilization of New Projects from the Perspective of Management Innovation. 11(3). 21–49. 1 indexed citations
5.
Leem, Choon Seong, et al.. (2018). A Study on the Impact of Safety Culture on Safety Behavior and Management Performance of the Facility Management Company. 18(2). 195–215.
6.
7.
Lee, Choonghyun & Choon Seong Leem. (2016). AN EMPIRICAL ANALYSIS OF ISSUES AND TRENDS IN MANUFACTURING PRODUCTIVITY THROUGH A 30-YEAR LITERATURE REVIEW. The South African Journal of Industrial Engineering. 27(2). 5 indexed citations
8.
Seo, Young-Ho, et al.. (2012). An integrated method for business process improvement. International journal of innovative computing, information & control. 8. 5237–5250. 3 indexed citations
9.
Choi, Jong Hwa, et al.. (2008). A Study on Collaboration Informatization Level of Supply Chain Process : Korean Automobile Industry Case. International Journal of u- and e- Service Science and Technology. 1(1). 17–26. 1 indexed citations
10.
Leem, Choon Seong, et al.. (2007). A Business Model Feasibility Analysis Framework in Ubiquitous Technology Environments. 2007 International Conference on Convergence Information Technology (ICCIT 2007). 40. 36–42. 5 indexed citations
11.
Leem, Choon Seong, et al.. (2007). A Business Model Feasibility Analysis Framework in Ubiquitous Technology Environments. 2007 International Conference on Convergence Information Technology (ICCIT 2007). 1 indexed citations
12.
Choi, Jong Hwa, et al.. (2007). Development an Evaluation System of Software Firm on Integrated Perspective of Capability. 2007 International Conference on Convergence Information Technology (ICCIT 2007). 64. 1080–1079. 1 indexed citations
13.
Leem, Choon Seong, et al.. (2005). ACASH: an adaptive web caching method based on the heterogeneity of web object and reference characteristics. Information Sciences. 176(12). 1695–1711. 6 indexed citations
14.
Leem, Choon Seong, et al.. (2004). A maturity model and an evaluation system of software customer satisfaction: the case of software companies in Korea. Industrial Management & Data Systems. 104(4). 347–354. 23 indexed citations
15.
Leem, Choon Seong, et al.. (2000). Bootstrap confidence limits for Wright's Cs. 29(3). 485–505. 1 indexed citations
16.
Leem, Choon Seong, et al.. (2000). Bootstrap confidence limits for wright'C5. Communication in Statistics- Theory and Methods. 29(3). 485–505. 3 indexed citations
17.
Leem, Choon Seong. (1996). An Automated Fault Diagnosis For Manufacturing Process Monitoring And Control. International Journal of Modelling and Simulation. 16(4). 200–209. 1 indexed citations
18.
Leem, Choon Seong, David Dornfeld, & Stuart E. Dreyfus. (1995). A Customized Neural Network for Sensor Fusion in On-Line Monitoring of Cutting Tool Wear. Journal of Engineering for Industry. 117(2). 152–159. 46 indexed citations
19.
Leem, Choon Seong & Stuart E. Dreyfus. (1994). A Neural Network Approach to Feature Extraction in Sensor Signal Processing for Manufacturing Automation. Journal of Intelligent Material Systems and Structures. 5(2). 247–257. 2 indexed citations
20.
Leem, Choon Seong & Stuart E. Dreyfus. (1992). Learning input feature selection for sensor fusion in tool wear monitoring. 9 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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