Donghun Lee

1.0k total citations
57 papers, 758 citations indexed

About

Donghun Lee is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Marketing. According to data from OpenAlex, Donghun Lee has authored 57 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 14 papers in Artificial Intelligence and 9 papers in Marketing. Recurrent topics in Donghun Lee's work include Energy Load and Power Forecasting (8 papers), Semiconductor materials and devices (8 papers) and Consumer Behavior in Brand Consumption and Identification (7 papers). Donghun Lee is often cited by papers focused on Energy Load and Power Forecasting (8 papers), Semiconductor materials and devices (8 papers) and Consumer Behavior in Brand Consumption and Identification (7 papers). Donghun Lee collaborates with scholars based in South Korea, United States and Japan. Donghun Lee's co-authors include Kwanho Kim, Galen T. Trail, Moon‐Ho Jo, Kibum Kang, Geunhee Lee, Yong‐Mook Kang, Dong‐Wook Han, Hwy‐Chang Moon, Sang-Pil Han and Hyunsung Ko and has published in prestigious journals such as Nature Communications, Nano Letters and Applied Physics Letters.

In The Last Decade

Donghun Lee

50 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donghun Lee South Korea 14 515 176 126 79 72 57 758
Wenhui Yang China 16 332 0.6× 32 0.2× 73 0.6× 36 0.5× 27 0.4× 44 802
Yuxiang Liu China 17 351 0.7× 76 0.4× 31 0.2× 121 1.5× 15 0.2× 71 729
Trevor Michael Braun United States 13 296 0.6× 37 0.2× 80 0.6× 54 0.7× 27 0.4× 27 583
Long Liu China 20 654 1.3× 41 0.2× 161 1.3× 43 0.5× 48 0.7× 108 1.2k
Yong Kim South Korea 16 182 0.4× 62 0.4× 241 1.9× 111 1.4× 33 0.5× 156 1.4k
Junki Kim South Korea 17 284 0.6× 84 0.5× 53 0.4× 134 1.7× 24 0.3× 98 858
Hyeongjun Kim South Korea 16 242 0.5× 72 0.4× 74 0.6× 21 0.3× 23 0.3× 51 682
Yanling Chang United States 8 217 0.4× 43 0.2× 37 0.3× 27 0.3× 12 0.2× 18 880
Lixuan Zhang China 17 576 1.1× 18 0.1× 29 0.2× 68 0.9× 71 1.0× 47 973
Yazhe Wang China 15 122 0.2× 109 0.6× 14 0.1× 13 0.2× 83 1.2× 60 663

Countries citing papers authored by Donghun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Donghun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Donghun Lee. A scholar is included among the top collaborators of Donghun 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 Donghun Lee. Donghun 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.
Kim, Haegyeom, KyuJung Jun, Nathan J. Szymanski, et al.. (2025). Screening and Development of Sacrificial Cathode Additives for Lithium‐Ion Batteries. Advanced Energy Materials. 15(21). 7 indexed citations
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Lee, Donghun, et al.. (2024). An incremental learning approach to dynamic parallel machine scheduling with sequence-dependent setups and machine eligibility restrictions. Applied Soft Computing. 164. 112002–112002. 3 indexed citations
5.
Park, Heetaek, et al.. (2024). Activating reversible carbonate reactions in Nasicon solid electrolyte-based Na-air battery via in-situ formed catholyte. Nature Communications. 15(1). 2952–2952. 16 indexed citations
6.
Lee, Donghun, et al.. (2023). Deep Reinforcement Learning-Based Scheduler on Parallel Dedicated Machine Scheduling Problem towards Minimizing Total Tardiness. Sustainability. 15(4). 2920–2920. 2 indexed citations
7.
Lee, Donghun, et al.. (2023). Discovering Sustainable Business Partnerships through a Deep Learning Approach to Maximize Potential Value. Sustainability. 15(22). 15885–15885.
8.
Jun, KyuJung, Lori A. Kaufman, Donghun Lee, et al.. (2023). Understanding the Irreversible Reaction Pathway of the Sacrificial Cathode Additive Li6CoO4. Advanced Energy Materials. 13(30). 21 indexed citations
9.
Lee, Donghun, et al.. (2023). Self-growth learning-based machine scheduler to minimize setup time and tardiness in OLED display semiconductor manufacturing. Applied Soft Computing. 145. 110600–110600. 4 indexed citations
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Lee, Donghun, et al.. (2020). Applying Deep Learning to the Heat Production Planning Problem in a District Heating System. Energies. 13(24). 6641–6641. 2 indexed citations
12.
Lee, Donghun & Kwanho Kim. (2020). PV power prediction in a peak zone using recurrent neural networks in the absence of future meteorological information. Renewable Energy. 173. 1098–1110. 65 indexed citations
13.
Lee, Donghun & Kwanho Kim. (2019). Deep Learning Based Prediction Method of Long-term Photovoltaic Power Generation Using Meteorological and Seasonal Information. The e-Business Studies. 24(1). 1 indexed citations
14.
Lee, Donghun & Kwanho Kim. (2019). A LSTM Based Method for Photovoltaic Power Prediction in Peak Times Without Future Meteorological Information. The e-Business Studies. 24(4). 119–133. 2 indexed citations
15.
Kim, Kwanho, et al.. (2019). Photovoltaic (PV) Power Output Prediction Using LSTM Based DeepLearning. 3 indexed citations
16.
Lee, Donghun, et al.. (2014). Validation of K-Adapted Virtue Inventory of Strength. 21(3). 433–452. 1 indexed citations
17.
Lee, Donghun, et al.. (2014). A Study on Defense Technology Level Evaluation of Force Support Systems. Journal of Institute of Control Robotics and Systems. 20(2). 112–119. 1 indexed citations
18.
Moon, Hwy‐Chang & Donghun Lee. (2004). The Competitiveness of Multinational Firms: A Case Study of Samsung Electronics and Sony. Seoul National University Open Repository (Seoul National University). 11(1). 1–21. 27 indexed citations
19.
Han, Jonghee, et al.. (2002). Three-Dimensional Visualization of Human Vocal Organ on the Web. Journal of Digital Imaging. 15(0). 264–266. 2 indexed citations
20.
Lee, Donghun, et al.. (1999). Local Buckling Analysis of the Punch in stamping Die and Its Design Modification. Journal of the Korean Society for Precision Engineering. 16(3). 25–29. 3 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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