Han‐Gyun Woo

458 total citations
15 papers, 344 citations indexed

About

Han‐Gyun Woo is a scholar working on Management of Technology and Innovation, Management Science and Operations Research and Strategy and Management. According to data from OpenAlex, Han‐Gyun Woo has authored 15 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Management of Technology and Innovation, 5 papers in Management Science and Operations Research and 4 papers in Strategy and Management. Recurrent topics in Han‐Gyun Woo's work include Intellectual Property and Patents (5 papers), Business Strategy and Innovation (3 papers) and Innovation Diffusion and Forecasting (3 papers). Han‐Gyun Woo is often cited by papers focused on Intellectual Property and Patents (5 papers), Business Strategy and Innovation (3 papers) and Innovation Diffusion and Forecasting (3 papers). Han‐Gyun Woo collaborates with scholars based in South Korea, United States and Netherlands. Han‐Gyun Woo's co-authors include Chang‐Yong Lee, Kyootai Lee, Kailash Joshi, Juram Kim, William N. Robinson, Oh-Jin Kwon and Young‐Choon Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Management Studies and Technological Forecasting and Social Change.

In The Last Decade

Han‐Gyun Woo

14 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han‐Gyun Woo South Korea 10 118 102 79 64 49 15 344
Juram Kim South Korea 9 153 1.3× 78 0.8× 110 1.4× 93 1.5× 23 0.5× 13 379
Limin Zhang China 4 168 1.4× 58 0.6× 85 1.1× 52 0.8× 57 1.2× 13 403
Heeyong Noh South Korea 10 177 1.5× 102 1.0× 102 1.3× 60 0.9× 30 0.6× 14 366
Inchae Park South Korea 13 215 1.8× 162 1.6× 106 1.3× 99 1.5× 36 0.7× 20 455
Wonchul Seo South Korea 12 234 2.0× 172 1.7× 127 1.6× 120 1.9× 47 1.0× 46 561
Oh-Jin Kwon South Korea 10 268 2.3× 143 1.4× 156 2.0× 114 1.8× 44 0.9× 24 532
Sercan Ozcan United Kingdom 12 88 0.7× 121 1.2× 97 1.2× 53 0.8× 60 1.2× 28 412
Chih-Hung Hsieh Taiwan 7 164 1.4× 93 0.9× 155 2.0× 44 0.7× 73 1.5× 14 381
Dongwoo Kang South Korea 9 109 0.9× 68 0.7× 25 0.3× 40 0.6× 89 1.8× 15 352
Lothar Walter Germany 11 281 2.4× 125 1.2× 96 1.2× 55 0.9× 22 0.4× 21 419

Countries citing papers authored by Han‐Gyun Woo

Since Specialization
Citations

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

Fields of papers citing papers by Han‐Gyun Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han‐Gyun Woo. 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 Han‐Gyun Woo. The network helps show where Han‐Gyun Woo may publish in the future.

Co-authorship network of co-authors of Han‐Gyun Woo

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

All Works

15 of 15 papers shown
1.
2.
Woo, Han‐Gyun, et al.. (2025). How agency alliances with complementors moderate quality assurance, product originality, and success in platform ecosystems. SHILAP Revista de lepidopterología. 5(1). 100118–100118.
3.
Woo, Han‐Gyun, et al.. (2022). Energy Consumption Forecasting in Korea Using Machine Learning Algorithms. Energies. 15(13). 4880–4880. 45 indexed citations
4.
Lee, Kyootai, et al.. (2022). When Can AI Reduce Individuals’ Anchoring Bias and Enhance Decision Accuracy? Evidence from Multiple Longitudinal Experiments. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 2 indexed citations
5.
Kim, Juram, et al.. (2021). Screening ideas in the early stages of technology development: A word2vec and convolutional neural network approach. Technovation. 112. 102407–102407. 27 indexed citations
6.
Woo, Han‐Gyun, et al.. (2018). Screening early stage ideas in technology development processes: a text mining and k-nearest neighbours approach using patent information. Technology Analysis and Strategic Management. 31(5). 532–545. 17 indexed citations
7.
Lee, Chang‐Yong, et al.. (2017). The transformation of ownership structure and changes in principal-principal conflicts: evidence from corporate governance reforms in South Korea. International Journal of Corporate Governance. 8. 281. 1 indexed citations
8.
Woo, Han‐Gyun, et al.. (2017). Hawkes process-based technology impact analysis. Journal of Informetrics. 11(2). 511–529. 24 indexed citations
9.
Lee, Chang‐Yong, et al.. (2017). The transformation of ownership structure and changes in principal-principal conflicts: evidence from corporate governance reforms in South Korea. International Journal of Corporate Governance. 8(3/4). 281–281. 2 indexed citations
10.
Lee, Chang‐Yong, Juram Kim, Oh-Jin Kwon, & Han‐Gyun Woo. (2016). Stochastic technology life cycle analysis using multiple patent indicators. Technological Forecasting and Social Change. 106. 53–64. 64 indexed citations
11.
Lee, Chang‐Yong, et al.. (2016). Patterns of technology life cycles: stochastic analysis based on patent citations. Technology Analysis and Strategic Management. 29(1). 53–67. 23 indexed citations
12.
Lee, Kyootai, Han‐Gyun Woo, & Kailash Joshi. (2016). Pro-innovation culture, ambidexterity and new product development performance: Polynomial regression and response surface analysis. European Management Journal. 35(2). 249–260. 82 indexed citations
13.
Lee, Kyootai, Han‐Gyun Woo, & Kailash Joshi. (2012). The role of absorptive capacity in partnership retention. Asian Journal of Technology Innovation. 20(2). 155–169. 11 indexed citations
14.
Robinson, William N. & Han‐Gyun Woo. (2004). Finding Reusable UML Sequence Diagrams Automatically. IEEE Software. 21(5). 60–67. 32 indexed citations
15.
Woo, Han‐Gyun & William N. Robinson. (2003). Reuse of scenario specifications using an automated relational learner: a lightweight approach. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 3. 173–180. 13 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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