Hakyeon Lee

2.5k total citations
79 papers, 1.9k citations indexed

About

Hakyeon Lee is a scholar working on Management Science and Operations Research, Strategy and Management and Economics and Econometrics. According to data from OpenAlex, Hakyeon Lee has authored 79 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Management Science and Operations Research, 26 papers in Strategy and Management and 23 papers in Economics and Econometrics. Recurrent topics in Hakyeon Lee's work include Innovation and Knowledge Management (19 papers), Efficiency Analysis Using DEA (15 papers) and Innovation Policy and R&D (13 papers). Hakyeon Lee is often cited by papers focused on Innovation and Knowledge Management (19 papers), Efficiency Analysis Using DEA (15 papers) and Innovation Policy and R&D (13 papers). Hakyeon Lee collaborates with scholars based in South Korea, United States and Ethiopia. Hakyeon Lee's co-authors include Yongtae Park, Youngjung Geum, Chulhyun Kim, Yong Tae Park, Pilsung Kang, Hyeonju Seol, Chang‐Yong Lee, Sora Lee, Hoo-Gon Choi and Jeonghwan Jeon and has published in prestigious journals such as Journal of Cleaner Production, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Hakyeon Lee

70 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hakyeon Lee South Korea 24 616 586 491 472 380 79 1.9k
Johannes I.M. Halman Netherlands 24 531 0.9× 916 1.6× 399 0.8× 708 1.5× 189 0.5× 84 2.2k
Youngjung Geum South Korea 24 319 0.5× 590 1.0× 276 0.6× 767 1.6× 580 1.5× 67 1.8k
René Rohrbeck Germany 24 552 0.9× 1.2k 2.0× 307 0.6× 461 1.0× 194 0.5× 63 2.2k
Hannan Amoozad Mahdiraji Iran 28 604 1.0× 1.0k 1.7× 231 0.5× 314 0.7× 275 0.7× 118 2.3k
Joseph Z. Shyu Taiwan 15 496 0.8× 481 0.8× 258 0.5× 245 0.5× 103 0.3× 54 1.4k
Cinzia Battistella Italy 25 308 0.5× 1.2k 2.0× 308 0.6× 617 1.3× 573 1.5× 66 2.4k
Francesco Paolo Appio France 24 210 0.3× 701 1.2× 451 0.9× 569 1.2× 387 1.0× 76 2.4k
Louis Y.Y. Lu Taiwan 22 1.2k 2.0× 789 1.3× 724 1.5× 273 0.6× 215 0.6× 43 2.7k
Klaus Brockhoff Germany 24 310 0.5× 961 1.6× 468 1.0× 374 0.8× 248 0.7× 90 1.7k
Ieva Meidutė‐Kavaliauskienė Lithuania 27 475 0.8× 581 1.0× 289 0.6× 172 0.4× 267 0.7× 147 2.2k

Countries citing papers authored by Hakyeon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hakyeon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hakyeon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Hakyeon Lee. A scholar is included among the top collaborators of Hakyeon 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 Hakyeon Lee. Hakyeon Lee 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.
Park, Kyu Tae, et al.. (2024). Landscaping the digital twin technology: Patent-based networks and technology reference model. Technological Forecasting and Social Change. 206. 123576–123576. 6 indexed citations
2.
Hwang, Jihong & Hakyeon Lee. (2024). A knowledge tracing-like approach to modeling dynamic user preferences. 922–925.
3.
Lee, Hakyeon, et al.. (2024). Analyzing Technology Ecosystem of Smarthome Based on Open Source Projects Focusing on the Matter Standard. Journal of Korean Institute of Industrial Engineers. 50(2). 109–119.
4.
Lee, Hakyeon, et al.. (2023). A Metaverse Technology Framework based on Patent Topics: Focusing on Virtual Worlds. Journal of Korean Institute of Industrial Engineers. 49(6). 455–466.
5.
Lee, Hakyeon, et al.. (2023). Administrative and Technological Innovation: The Indirect Effects of Organizational Culture and Leadership. Transylvanian Review of Administrative Sciences. 34–57. 2 indexed citations
6.
Lee, Hakyeon, et al.. (2020). Landscaping the R&D Trend of Artificial Intelligence with Open Source Project Data in Github. Journal of Korean Institute of Industrial Engineers. 46(5). 548–557.
7.
Lee, Hakyeon, et al.. (2018). Uncovering the Topic Landscape of Product-Service System Research: from Sustainability to Value Creation. Sustainability. 10(4). 911–911. 18 indexed citations
8.
Lee, Hakyeon, et al.. (2016). Industrial Engineering as a Multidisciplinary Field : Exploring the Structure of Academic Convergence in Industrial Engineering by Journal Citation Network Analysis. Journal of Korean Institute of Industrial Engineers. 42(3). 182–197. 3 indexed citations
9.
Lee, Hakyeon, et al.. (2015). Performance Evaluation of R&D Commercialization : A DEA-Based Three-Stage Model of R&BD Performance. Journal of Korean Institute of Industrial Engineers. 41(5). 425–438. 1 indexed citations
10.
Kim, Wonjoon, et al.. (2015). Identifying the structure of knowledge networks in the US mobile ecosystems: patent citation analysis. Technology Analysis and Strategic Management. 28(4). 411–434. 32 indexed citations
11.
Lee, Hakyeon. (2014). Uncovering the multidisciplinary nature of technology management: journal citation network analysis. Scientometrics. 102(1). 51–75. 31 indexed citations
12.
Shin, Juneseuk & Hakyeon Lee. (2013). Low-risk opportunity recognition from mature technologies for SMEs. Journal of Engineering and Technology Management. 30(4). 402–418. 20 indexed citations
13.
이상훈 & Hakyeon Lee. (2011). Measuring performance of innovation in knowledge intensive business services (KIBS): A DEA approach. 16(3). 129–144. 1 indexed citations
14.
Lee, Hakyeon, Moon-Soo Kim, & Yongtae Park. (2011). An analytic network process approach to operationalization of five forces model. Applied Mathematical Modelling. 36(4). 1783–1795. 44 indexed citations
15.
Jeon, Jeonghwan, Hakyeon Lee, & Yongtae Park. (2011). Implementing technology roadmapping with supplier selection for semiconductor manufacturing companies. Technology Analysis and Strategic Management. 23(8). 899–918. 23 indexed citations
16.
Geum, Youngjung, Daekook Kang, Hakyeon Lee, & Yongtae Park. (2010). Technology interfaces in product-service integration: Concept and typology. Portland International Conference on Management of Engineering and Technology. 1–7. 5 indexed citations
17.
Kim, Moon‐Soo, et al.. (2008). A Model and Its Application of Performance Monitoring, Evaluation, and Management System for National R&D. Journal of Korea Technology Innovation Society. 11(4). 613–638. 1 indexed citations
18.
Lee, Hakyeon, et al.. (2008). An analytic network process approach to measuring design change impacts in modular products. Journal of Engineering Design. 21(1). 75–91. 56 indexed citations
19.
Park, Jongyong, Hakyeon Lee, & Yongtae Park. (2008). Disembodied knowledge flows among industrial clusters: A patent analysis of the Korean manufacturing sector. Technology in Society. 31(1). 73–84. 26 indexed citations
20.
Lee, Hakyeon & Yong Tae Park. (2005). An international comparison of R&D efficiency: DEA approach. Asian Journal of Technology Innovation. 13(2). 207–222. 128 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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