Donghun Lee

1.0k citations
57 papers · 758 indexed · h-index 14
Topics
Energy Load and Power Forecasting (8 papers)Semiconductor materials and devices (8 papers)Consumer Behavior in Brand Consumption and Identification (7 papers)

In The Last Decade

Donghun Lee

50 papers receiving 705 citations

Peers

Donghun Lee
Comparison fields: 5 of 102
  • Electrical and Electronic Engineering 515
  • Artificial Intelligence 176
  • Renewable Energy, Sustainability and the Environment 126
  • Atomic and Molecular Physics, and Optics 79
  • Automotive Engineering 72
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Citations per field
00.5×9.8×
Lixuan Zhang · 1×
Citations per year

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
#WorkIndexed citations
1 7
2 0
3 0
4 3
5 16
6 21
7 2
8 0
9 4
10 3
11 18
12 3
13 2
14
Deep Learning Based Prediction Method of Long-term Photovoltaic Power Generation Using Meteorological and Seasonal Information
1
15
Validation of K-Adapted Virtue Inventory of Strength
1
16 25
17 45
18
The Competitiveness of Multinational Firms: A Case Study of Samsung Electronics and Sony
27
19 2
20
Local Buckling Analysis of the Punch in stamping Die and Its Design Modification
3

About Donghun Lee

Donghun Lee is a scholar working on Marketing, Organizational Behavior and Human Resource Management and Electrical and Electronic Engineering, having authored 57 papers that have together received 758 indexed citations. Recurring topics across this 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). The work is most often cited by research in Electrical and Electronic Engineering (515 citations), Renewable Energy, Sustainability and the Environment (126 citations) and Marketing (69 citations). Donghun Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Kwanho Kim, Galen T. Trail, Kibum Kang, Moon‐Ho Jo, Geunhee Lee, Yong‐Mook Kang, Dong‐Wook Han, Hwy‐Chang Moon, Sang-Pil Han and Hyunsung Ko. Their work appears in journals such as Nature Communications, Nano Letters and Applied Physics Letters.

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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