Dongkyu Won

900 total citations
22 papers, 735 citations indexed

About

Dongkyu Won is a scholar working on Management Science and Operations Research, Strategy and Management and Economics and Econometrics. According to data from OpenAlex, Dongkyu Won has authored 22 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Science and Operations Research, 6 papers in Strategy and Management and 6 papers in Economics and Econometrics. Recurrent topics in Dongkyu Won's work include Innovation Diffusion and Forecasting (6 papers), Innovation and Knowledge Management (4 papers) and Firm Innovation and Growth (4 papers). Dongkyu Won is often cited by papers focused on Innovation Diffusion and Forecasting (6 papers), Innovation and Knowledge Management (4 papers) and Firm Innovation and Growth (4 papers). Dongkyu Won collaborates with scholars based in South Korea, Australia and Ethiopia. Dongkyu Won's co-authors include JinHyo Joseph Yun, KyungBae Park, EuiSeob Jeong, JeongHo Yang, Xiaofei Zhao, Sang Hyun Park, Jiyoung Park, Hyun‐Joo Lee, Dong‐Hwan Kim and Tan Yiğitcanlar and has published in prestigious journals such as Spine, Pattern Recognition and Technological Forecasting and Social Change.

In The Last Decade

Dongkyu Won

20 papers receiving 702 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongkyu Won South Korea 10 263 172 166 112 109 22 735
Wen‐Hsiang Lai Taiwan 13 231 0.9× 113 0.7× 137 0.8× 68 0.6× 88 0.8× 43 637
Christian Linder Germany 15 342 1.3× 96 0.6× 301 1.8× 97 0.9× 129 1.2× 49 1.1k
Wolfgang Vorraber Austria 10 295 1.1× 160 0.9× 140 0.8× 68 0.6× 88 0.8× 30 883
Yung‐Chi Shen Taiwan 11 202 0.8× 125 0.7× 140 0.8× 159 1.4× 91 0.8× 20 697
Fabiano Armellini Canada 13 268 1.0× 124 0.7× 113 0.7× 73 0.7× 42 0.4× 30 717
Meng Chen China 15 372 1.4× 97 0.6× 76 0.5× 59 0.5× 75 0.7× 57 743
Federico Caviggioli Italy 17 286 1.1× 415 2.4× 331 2.0× 102 0.9× 64 0.6× 35 861
Roman Boutellier Switzerland 18 602 2.3× 179 1.0× 230 1.4× 81 0.7× 107 1.0× 65 1.2k
Željko Tekić Russia 10 156 0.6× 120 0.7× 137 0.8× 72 0.6× 70 0.6× 31 708
Aslan Amat Senin Malaysia 14 271 1.0× 91 0.5× 143 0.9× 167 1.5× 61 0.6× 67 827

Countries citing papers authored by Dongkyu Won

Since Specialization
Citations

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

Fields of papers citing papers by Dongkyu Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongkyu Won

This figure shows the co-authorship network connecting the top 25 collaborators of Dongkyu Won. A scholar is included among the top collaborators of Dongkyu Won 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 Dongkyu Won. Dongkyu Won 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.
Won, Dongkyu, et al.. (2024). Social resilience and risk society analysis model of the COVID 19 pandemic. International Journal of Disaster Risk Reduction. 104. 104329–104329. 1 indexed citations
3.
Won, Dongkyu, Miguel A. Cabra de Luna, Philip Chikontwe, et al.. (2023). Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation. Neural Networks. 166. 722–737. 5 indexed citations
4.
Chikontwe, Philip, et al.. (2023). Structure-Preserving Image Translation for Cross-Modality Medical Imaging Domain Adaptation. SSRN Electronic Journal. 1 indexed citations
5.
Chikontwe, Philip, et al.. (2023). Structure-preserving image translation for multi-source medical image domain adaptation. Pattern Recognition. 144. 109840–109840. 12 indexed citations
6.
Won, Dongkyu, et al.. (2021). Global Value Chain Change and Government R&D Investment Strategy due to Trade Dispute with Japan - Focussing on Automobile Industry. The Journal of the Korea Contents Association. 21(1). 12–23. 1 indexed citations
7.
Choi, Myoung‐Jae, et al.. (2021). Identifying the Policy Direction of National R&D Programs Based on Data Envelopment Analysis and Diversity Index Approach. Sustainability. 13(22). 12547–12547. 2 indexed citations
8.
Won, Dongkyu, et al.. (2020). Spinal Stenosis Grading in Magnetic Resonance Imaging Using Deep Convolutional Neural Networks. Spine. 45(12). 804–812. 52 indexed citations
9.
Yun, JinHyo Joseph, Dongkyu Won, KyungBae Park, EuiSeob Jeong, & Xiaofei Zhao. (2019). The role of a business model in market growth: The difference between the converted industry and the emerging industry. Technological Forecasting and Social Change. 146. 534–562. 58 indexed citations
10.
Kim, Kwang-Hoon, et al.. (2018). An Analysis of the Economic Effects of Unmanned Aerial Vehicle(UAV) Industry. The Journal of the Korea Contents Association. 18(2). 216–230.
11.
Won, Dongkyu, et al.. (2018). The implication of ANT (Actor-Network-Theory) methodology for R&D policy in open innovation paradigm. Knowledge Management Research & Practice. 16(3). 315–326. 6 indexed citations
12.
Yun, JinHyo Joseph, Dongkyu Won, & KyungBae Park. (2018). Entrepreneurial cyclical dynamics of open innovation. Journal of Evolutionary Economics. 28(5). 1151–1174. 171 indexed citations
13.
Won, Dongkyu, et al.. (2018). The Efficiency Analysis of National R&D Planning for the Field of Precision Medicine in Korea. Journal of Open Innovation Technology Market and Complexity. 4(3). 39–39. 5 indexed citations
14.
Yoo, Sun Kook & Dongkyu Won. (2018). Simulation of Weak Signals of Nanotechnology Innovation in Complex System. Sustainability. 10(2). 486–486. 6 indexed citations
15.
Yun, JinHyo Joseph, et al.. (2017). Dismantling of the Inverted U-Curve of Open Innovation. Sustainability. 9(8). 1423–1423. 21 indexed citations
16.
Yun, JinHyo Joseph, Dongkyu Won, & KyungBae Park. (2016). Dynamics from open innovation to evolutionary change. Journal of Open Innovation Technology Market and Complexity. 2(2). 1–22. 199 indexed citations
17.
Won, Dongkyu, et al.. (2016). Patent-Enhancing Strategies by Industry in Korea Using a Data Envelopment Analysis. Sustainability. 8(9). 901–901. 10 indexed citations
18.
Yun, JinHyo Joseph, Dongkyu Won, EuiSeob Jeong, et al.. (2015). The relationship between technology, business model, and market in autonomous car and intelligent robot industries. Technological Forecasting and Social Change. 103. 142–155. 88 indexed citations
19.
Yun, JinHyo Joseph, et al.. (2015). Analysing and simulating the effects of open innovation policies: Application of the results to Cambodia. Science and Public Policy. scu085–scu085. 30 indexed citations
20.
Won, Dongkyu, et al.. (2015). Complex adaptive systems approach to sewol ferry disaster in Korea. Journal of Open Innovation Technology Market and Complexity. 1(2). 1–18. 9 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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