Tae Hee Moon

600 total citations
16 papers, 473 citations indexed

About

Tae Hee Moon is a scholar working on Information Systems and Management, Management Science and Operations Research and Accounting. According to data from OpenAlex, Tae Hee Moon has authored 16 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems and Management, 6 papers in Management Science and Operations Research and 5 papers in Accounting. Recurrent topics in Tae Hee Moon's work include Technology Adoption and User Behaviour (7 papers), Innovation Diffusion and Forecasting (3 papers) and Customer Service Quality and Loyalty (3 papers). Tae Hee Moon is often cited by papers focused on Technology Adoption and User Behaviour (7 papers), Innovation Diffusion and Forecasting (3 papers) and Customer Service Quality and Loyalty (3 papers). Tae Hee Moon collaborates with scholars based in South Korea and United Kingdom. Tae Hee Moon's co-authors include So Young Sohn, Hong‐Sik Kim, Letizia Mortara, David Probert, Tim Minshall, Joon Mo Ahn, Sang-Hoon Kim and Yong Wook Kim and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Journal of the Operational Research Society.

In The Last Decade

Tae Hee Moon

16 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tae Hee Moon South Korea 11 158 139 113 108 72 16 473
Yorgos Marinakis United States 10 90 0.6× 132 0.9× 36 0.3× 55 0.5× 60 0.8× 33 437
Bowen Lou United States 8 198 1.3× 156 1.1× 75 0.7× 100 0.9× 148 2.1× 15 526
Jeļena Titko Latvia 10 105 0.7× 101 0.7× 102 0.9× 66 0.6× 27 0.4× 51 408
Carl A. Scheraga United States 14 217 1.4× 168 1.2× 203 1.8× 180 1.7× 52 0.7× 37 602
Wayne G. Bremser United States 12 236 1.5× 66 0.5× 239 2.1× 83 0.8× 297 4.1× 28 634
M. Atilla Öner Türkiye 12 160 1.0× 83 0.6× 18 0.2× 116 1.1× 25 0.3× 31 434
Udayan Chanda India 13 138 0.9× 88 0.6× 27 0.2× 183 1.7× 146 2.0× 56 452
Christiana Müller Austria 4 300 1.9× 158 1.1× 32 0.3× 64 0.6× 142 2.0× 13 696
Michael Rachinger Austria 4 296 1.9× 154 1.1× 30 0.3× 70 0.6× 146 2.0× 11 688

Countries citing papers authored by Tae Hee Moon

Since Specialization
Citations

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

Fields of papers citing papers by Tae Hee Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Hee Moon. 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 Tae Hee Moon. The network helps show where Tae Hee Moon may publish in the future.

Co-authorship network of co-authors of Tae Hee Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Tae Hee Moon. A scholar is included among the top collaborators of Tae Hee Moon 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 Tae Hee Moon. Tae Hee Moon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Ahn, Joon Mo, Tae Hee Moon, Tim Minshall, et al.. (2016). Beyond absorptive capacity in open innovation process: the relationships between openness, capacities and firm performance. Technology Analysis and Strategic Management. 28(9). 1009–1028. 97 indexed citations
2.
Moon, Tae Hee, Yong Wook Kim, & So Young Sohn. (2010). Technology credit rating system for funding SMEs. Journal of the Operational Research Society. 62(4). 608–615. 19 indexed citations
3.
Moon, Tae Hee & So Young Sohn. (2010). Survival analysis for technology credit scoring adjusting total perception. Journal of the Operational Research Society. 62(6). 1159–1168. 6 indexed citations
4.
Moon, Tae Hee & So Young Sohn. (2009). Technology credit scoring model considering both SME characteristics and economic conditions: The Korean case. Journal of the Operational Research Society. 61(4). 666–675. 26 indexed citations
5.
Sohn, So Young, et al.. (2008). A strategic analysis for successful Brain Korea 21 initiative based on structural equation model. Expert Systems with Applications. 36(3). 5087–5093. 5 indexed citations
6.
Moon, Tae Hee & So Young Sohn. (2008). CASE-BASED REASONING FOR PREDICTING MULTIPERIOD FINANCIAL PERFORMANCES OF TECHNOLOGY-BASED SMEs. Applied Artificial Intelligence. 22(6). 602–615. 10 indexed citations
7.
Sohn, So Young, et al.. (2008). A systematic approach for improving the quality of official statistics: Case of Korean information and telecommunication industry. Information & Management. 45(6). 403–409. 9 indexed citations
8.
Sohn, So Young, et al.. (2008). Optimal pricing for mobile manufacturers in competitive market using genetic algorithm. Expert Systems with Applications. 36(2). 3448–3453. 12 indexed citations
9.
Moon, Tae Hee & So Young Sohn. (2007). Technology scoring model for reflecting evaluator’s perception within confidence limits. European Journal of Operational Research. 184(3). 981–989. 14 indexed citations
10.
Moon, Tae Hee, et al.. (2007). Structural equation model for effective CRM of information infrastructure industry in Korea. Expert Systems with Applications. 36(2). 1695–1705. 9 indexed citations
11.
Sohn, So Young, Hong‐Sik Kim, & Tae Hee Moon. (2006). Predicting the financial performance index of technology fund for SME using structural equation model. Expert Systems with Applications. 32(3). 890–898. 46 indexed citations
12.
Sohn, So Young, et al.. (2006). Random effects Weibull regression model for occupational lifetime. European Journal of Operational Research. 179(1). 124–131. 18 indexed citations
13.
Moon, Tae Hee, et al.. (2005). Intelligent approach for effective management of governmental funds for small and medium enterprises. Expert Systems with Applications. 29(3). 566–572. 17 indexed citations
14.
Sohn, So Young, Tae Hee Moon, & Sang-Hoon Kim. (2004). Improved technology scoring model for credit guarantee fund. Expert Systems with Applications. 28(2). 327–331. 39 indexed citations
15.
Sohn, So Young & Tae Hee Moon. (2003). Structural equation model for predicting technology commercialization success index (TCSI). Technological Forecasting and Social Change. 70(9). 885–899. 89 indexed citations
16.
Sohn, So Young & Tae Hee Moon. (2003). Decision Tree based on data envelopment analysis for effective technology commercialization. Expert Systems with Applications. 26(2). 279–284. 57 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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