Dongjun Suh

59 papers receiving 738 citations

Peers

Dongjun Suh
Comparison fields: 5 of 82
  • Energy Engineering and Power Technology 209
  • Pollution 224
  • Renewable Energy, Sustainability and the Environment 179
  • Building and Construction 113
  • Environmental Engineering 103
Replace M.A. Baseer with:
M.A. Baseer Saudi Arabia
Abdullah Al‐Badi Oman
Ángel A. Bayod-Rújula Spain
Michael Lochinvar S. Abundo Philippines
Haiyang Lin China
Nipon Ketjoy Thailand
Hassan Z. Al Garni Saudi Arabia
Cláudio Monteiro Portugal
Daniel Icaza Ecuador
M. EL-Shimy Egypt
Dongjun Suh relative to M.A. Baseer Saudi Arabia M.A. Baseer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dongjun Suh

Since Specialization
Citations

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

Fields of papers citing papers by Dongjun Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dongjun Suh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dongjun Suh Line = papers co-authored together Dongjun Suh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019131
2 202073
3 202048
4 202246
5 202337
6 202134
7 202033
8 202331
9 202130
10 202025
11 202219
12 202116
13 202015
14 202114
15 202314
16 202313
17 202313
18 201212
19 201812
20
An electricity energy and water consumption model for Korean Style Apartment buildings
201211

About Dongjun Suh

Dongjun Suh is a scholar working on Electrical and Electronic Engineering, Pollution, Artificial Intelligence, Building and Construction and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 770 indexed citations. Recurring topics across this work include Energy and Environment Impacts (14 papers), Building Energy and Comfort Optimization (13 papers), Solar Radiation and Photovoltaics (10 papers), Energy Load and Power Forecasting (8 papers), Hybrid Renewable Energy Systems (8 papers), Sustainable Building Design and Assessment (5 papers), Modular Robots and Swarm Intelligence (5 papers) and Photovoltaic System Optimization Techniques (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (209 citations), Pollution (224 citations), Renewable Energy, Sustainability and the Environment (179 citations), Building and Construction (113 citations) and Environmental Engineering (103 citations). Dongjun Suh has collaborated with scholars based in South Korea, Germany and Nigeria. Frequent co-authors include Abdulhameed Babatunde Owolabi, Benyoh Emmanuel Kigha Nsafon, Jeung-Soo Huh, Jong Wook Roh, Seongju Chang, Jeung-Soo Huh, Hong Li, Hyun-Seok Kim, Hyun Seok Kim and Il‐Woo Lee. Their work appears in journals such as Energies, IEEE Access, Sustainable Energy Technologies and Assessments, Sustainability and Frontiers in Energy Research.

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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