Keeheon Lee

1.3k total citations
19 papers, 465 citations indexed

About

Keeheon Lee is a scholar working on Artificial Intelligence, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Keeheon Lee has authored 19 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Keeheon Lee's work include Innovation Diffusion and Forecasting (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Teaching and Learning Programming (2 papers). Keeheon Lee is often cited by papers focused on Innovation Diffusion and Forecasting (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Teaching and Learning Programming (2 papers). Keeheon Lee collaborates with scholars based in South Korea and United States. Keeheon Lee's co-authors include Sang Yup Lee, Hosang Jung, Neil Thompson, Kristjan Greenewald, Min Song, Younah Kang, Chang Ouk Kim, Soyeon Kim, Su Yeon Kim and Hoyeop Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Expert Systems with Applications.

In The Last Decade

Keeheon Lee

18 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keeheon Lee South Korea 10 87 80 72 61 59 19 465
Abdullah Albizri United States 12 119 1.4× 49 0.6× 33 0.5× 21 0.3× 37 0.6× 23 447
Agam Gupta India 10 55 0.6× 78 1.0× 53 0.7× 41 0.7× 61 1.0× 27 435
Nor’ashikin Ali Malaysia 14 122 1.4× 93 1.2× 53 0.7× 175 2.9× 50 0.8× 56 709
Leona Chandra Kruse Liechtenstein 9 44 0.5× 135 1.7× 64 0.9× 23 0.4× 27 0.5× 20 417
Jing Luan China 10 153 1.8× 117 1.5× 82 1.1× 67 1.1× 47 0.8× 26 569
Pantea Keikhosrokiani Malaysia 13 142 1.6× 97 1.2× 41 0.6× 139 2.3× 35 0.6× 53 673
Thorsten Schoormann Germany 12 62 0.7× 92 1.1× 88 1.2× 36 0.6× 49 0.8× 56 516
Monika Mital India 10 93 1.1× 215 2.7× 106 1.5× 201 3.3× 39 0.7× 18 722
Huan-Ming Chuang Taiwan 13 52 0.6× 90 1.1× 76 1.1× 71 1.2× 44 0.7× 37 418
Bill Kuechler United States 4 56 0.6× 148 1.9× 46 0.6× 36 0.6× 60 1.0× 7 442

Countries citing papers authored by Keeheon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Keeheon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keeheon Lee

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

All Works

19 of 19 papers shown
2.
Lee, Keeheon, et al.. (2024). Harnessing Large Language Models for Effective and Efficient Hate Speech Detection. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 4 indexed citations
3.
Lee, Keeheon, et al.. (2022). The paradigm shift of mass customisation research. International Journal of Production Research. 61(10). 3350–3376. 20 indexed citations
4.
Thompson, Neil, et al.. (2021). Deep Learning's Diminishing Returns: The Cost of Improvement is Becoming Unsustainable. IEEE Spectrum. 58(10). 50–55. 77 indexed citations
5.
Lee, Keeheon. (2021). A Systematic Review on Social Sustainability of Artificial Intelligence in Product Design. Sustainability. 13(5). 2668–2668. 25 indexed citations
6.
Kang, Younah & Keeheon Lee. (2020). Designing technology entrepreneurship education using computational thinking. Education and Information Technologies. 25(6). 5357–5377. 21 indexed citations
7.
Kim, Soyeon, et al.. (2020). Simple and Steady Interactions Win the Healthy Mentality. Proceedings of the ACM on Human-Computer Interaction. 4(CSCW2). 1–25. 34 indexed citations
8.
Lee, Keeheon, et al.. (2020). Building Ethical AI from News Articles. 210–217. 2 indexed citations
9.
Lee, Keeheon, et al.. (2019). Bringing Computational Thinking to Nonengineering Students through a Capstone Course. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 2 indexed citations
10.
Lee, Keeheon & Hosang Jung. (2019). Dynamic semantic network analysis for identifying the concept and scope of social sustainability. Journal of Cleaner Production. 233. 1510–1524. 48 indexed citations
11.
Lee, Hoyeop, et al.. (2018). Agent simulation-based ordinal optimisation for new product design. Journal of the Operational Research Society. 70(3). 502–515. 6 indexed citations
12.
Lee, Sang Yup & Keeheon Lee. (2018). Factors that influence an individual's intention to adopt a wearable healthcare device: The case of a wearable fitness tracker. Technological Forecasting and Social Change. 129. 154–163. 111 indexed citations
13.
Song, Min, Su Yeon Kim, & Keeheon Lee. (2017). Ensemble analysis of topical journal ranking in bioinformatics. Journal of the Association for Information Science and Technology. 68(6). 1564–1583. 10 indexed citations
14.
Lee, Keeheon, et al.. (2016). Examining Characteristics of Traditional and Twitter Citation. SHILAP Revista de lepidopterología. 1. 8 indexed citations
15.
Lee, Keeheon, et al.. (2016). Subject–method topic network analysis in communication studies. Scientometrics. 109(3). 1761–1787. 31 indexed citations
16.
Lee, Keeheon, et al.. (2016). Comparative evaluation of bibliometric content networks by tomographic content analysis: An application to Parkinson's disease. Journal of the Association for Information Science and Technology. 68(5). 1295–1307. 5 indexed citations
17.
Lee, Keeheon, Yong Hwan Kim, Seung Han Baek, & Min Song. (2015). Analyzing Subject-Method Network of Bioinformatics and Biology. 27–27. 2 indexed citations
18.
Heo, Go Eun, Keeheon Lee, & Min Song. (2014). Inferring Undiscovered Public Knowledge by Using Text Mining-driven Graph Model. 37–37. 1 indexed citations
19.
Lee, Keeheon, et al.. (2010). Agent-based diffusion model for an automobile market with fuzzy TOPSIS-based product adoption process. Expert Systems with Applications. 38(6). 7270–7276. 58 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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