Lee Sunro

653 total citations
21 papers, 495 citations indexed

About

Lee Sunro is a scholar working on Information Systems, Software and Information Systems and Management. According to data from OpenAlex, Lee Sunro has authored 21 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 5 papers in Software and 4 papers in Information Systems and Management. Recurrent topics in Lee Sunro's work include Software Engineering Research (5 papers), Software Reliability and Analysis Research (4 papers) and Technology Adoption and User Behaviour (4 papers). Lee Sunro is often cited by papers focused on Software Engineering Research (5 papers), Software Reliability and Analysis Research (4 papers) and Technology Adoption and User Behaviour (4 papers). Lee Sunro collaborates with scholars based in South Korea, United States and Hong Kong. Lee Sunro's co-authors include Choong C. Lee, William J. Kettinger, Robert M. O’Keefe, Richard Leifer, Chan-Gun Lee, Jeffrey F. Durgee, Martha Grabowski, Youngmin Kim, Ki-Seong Lee and Sungmin Cho and has published in prestigious journals such as Expert Systems with Applications, Sensors and Information & Management.

In The Last Decade

Lee Sunro

21 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lee Sunro South Korea 10 158 146 135 109 75 21 495
Anna Grimán Venezuela 9 148 0.9× 172 1.2× 101 0.7× 135 1.2× 54 0.7× 31 474
Joseph S. Sherif United States 10 127 0.8× 177 1.2× 74 0.5× 96 0.9× 42 0.6× 20 448
Luís E. Mendoza Venezuela 9 148 0.9× 140 1.0× 89 0.7× 184 1.7× 44 0.6× 59 437
Tim Klaus United States 11 59 0.4× 157 1.1× 159 1.2× 93 0.9× 150 2.0× 27 486
Xiping Song United States 10 54 0.3× 107 0.7× 76 0.6× 206 1.9× 121 1.6× 32 513
Ai‐Mei Chang United States 10 71 0.4× 73 0.5× 170 1.3× 79 0.7× 184 2.5× 22 452
W.L. Yeung Hong Kong 9 52 0.3× 116 0.8× 79 0.6× 67 0.6× 75 1.0× 30 301
Billy Lim United States 9 56 0.4× 115 0.8× 152 1.1× 71 0.7× 124 1.7× 26 419
Sven Overhage Germany 11 45 0.3× 152 1.0× 106 0.8× 158 1.4× 161 2.1× 46 439
Dawn Jutla Canada 12 111 0.7× 153 1.0× 195 1.4× 122 1.1× 177 2.4× 61 668

Countries citing papers authored by Lee Sunro

Since Specialization
Citations

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

Fields of papers citing papers by Lee Sunro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee Sunro. 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 Lee Sunro. The network helps show where Lee Sunro may publish in the future.

Co-authorship network of co-authors of Lee Sunro

This figure shows the co-authorship network connecting the top 25 collaborators of Lee Sunro. A scholar is included among the top collaborators of Lee Sunro 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 Lee Sunro. Lee Sunro 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.
Sunro, Lee, Hye-Min Kim, Chan-Gun Lee, & Ki-Seong Lee. (2017). Study on Automatic Bug Triage using Deep Learning. Journal of KIISE. 44(11). 1156–1164. 1 indexed citations
2.
Lee, Ki-Seong, Lee Sunro, Youngmin Kim, & Chan-Gun Lee. (2017). Deep learning–based real-time query processing for wireless sensor network. International Journal of Distributed Sensor Networks. 13(5). 812123557–812123557. 16 indexed citations
3.
Sunro, Lee, et al.. (2017). Applying deep learning based automatic bug triager to industrial projects. 926–931. 78 indexed citations
4.
Sunro, Lee, et al.. (2010). A Study about the Impacts of Firm's Innovation Competence on Management Performance: Focusing on the SME in the Medical Equipment Industry. Korean Journal of Business Administration. 23(4). 2305–2328. 1 indexed citations
5.
Sunro, Lee, et al.. (2009). A Study on the Impacts of Mobile Work Support Systems and Managers’ Leadership on the Mobile Work Performance: Mediating through the Psychological Empowerment. korean management review. 38(5). 1135–1163. 1 indexed citations
6.
Cho, Sungmin & Lee Sunro. (2009). A Study about The Impacts of Characteristics of Information Systems and Managerial Control on Job Satisfaction and Performance in the Mobile Work Environment. 16(4). 49–72. 2 indexed citations
7.
Sunro, Lee. (2008). A Study about the Impacts of on-line Community Behaviors and Individual Characteristics on WOM Effects. korean management review. 37(4). 957–988. 4 indexed citations
8.
Sunro, Lee, et al.. (2008). A Study on Continued Use of Online Shopping Site Using a Weighted Expectation-Confirmation Model. Korean Management Science Review. 25(3). 135–155. 3 indexed citations
9.
Sunro, Lee, et al.. (2007). A Study on the Impact of IT and SCM Process Management Capability on e-SCM Performance. Asia Pacific Journal of Information Systems. 17(3). 79–103. 3 indexed citations
10.
Sunro, Lee, et al.. (2006). An Integrated Study for Customer Loyalty in Internet Shopping Mall. Journal of Information Systems. 15(4). 23–53. 7 indexed citations
11.
Sunro, Lee, et al.. (2003). The Effect of Tourism Information Website on Satisfaction, Trust and Loyalty: Focused on Tourism Website by Jeju Province. Journal of Tourism and Leisure Research. 15(2). 137–157. 1 indexed citations
12.
Sunro, Lee & Robert M. O’Keefe. (1996). The effect of knowledge representation schemes on maintainability of knowledge-based systems. IEEE Transactions on Knowledge and Data Engineering. 8(1). 173–178. 12 indexed citations
13.
Kettinger, William J., Choong C. Lee, & Lee Sunro. (1995). Global Measures of Information Service Quality: A Cross‐National Study*. Decision Sciences. 26(5). 569–588. 194 indexed citations
14.
Leifer, Richard, Lee Sunro, & Jeffrey F. Durgee. (1994). Deep structures: Real information requirements determination. Information & Management. 27(5). 275–285. 37 indexed citations
15.
Sunro, Lee & Robert M. O’Keefe. (1994). Developing a strategy for expert system verification and validation. IEEE Transactions on Systems Man and Cybernetics. 24(4). 643–655. 41 indexed citations
16.
Sunro, Lee. (1993). Quality issues of knowledge bases in expert system development: an exploratory study. University Microfilms International eBooks. 2 indexed citations
17.
Grabowski, Martha & Lee Sunro. (1993). Linking information systems application portfolios and organizational strategy. IGI Global eBooks. 33–54. 17 indexed citations
18.
Sunro, Lee & Robert M. O’Keefe. (1993). Subsumption anomalies in hybrid knowledge bases. 6(3). 299–320. 12 indexed citations
19.
Sunro, Lee & Richard Leifer. (1992). A Framework for Linking the Structure of Information Systems with Organizational Requirements for Information Sharing. Journal of Management Information Systems. 8(4). 27–44. 43 indexed citations
20.
O’Keefe, Robert M. & Lee Sunro. (1990). An integrative model of expert system verification and validation. Expert Systems with Applications. 1(3). 231–236. 19 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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