Byeong Gwan Bhang
- Renewable Energy, Sustainability and the Environment top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Control and Systems Engineering
- Environmental Engineering
- Co-authors
- Hyung‐Keun AhnSo‐Young ParkHae Gyun LimNeungsoo ParkSo Young ParkChang‐Hee WonDong Hee KangDavid H. Kim
- Topics
- Photovoltaic System Optimization Techniques (8 papers)Solar Thermal and Photovoltaic Systems (7 papers)solar cell performance optimization (6 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentEnergy Engineering and Power TechnologyArtificial Intelligence
- Journals
- IEEE AccessSolar EnergyEnergies
- Partner nations
- South Korea
In The Last Decade
Byeong Gwan Bhang
14 papers receiving 279 citations
Peers
Comparison fields: 5 of 39
- Renewable Energy, Sustainability and the Environment 184
- Electrical and Electronic Engineering 181
- Artificial Intelligence 135
- Control and Systems Engineering 35
- Environmental Engineering 31
Countries citing papers authored by Byeong Gwan Bhang
This map shows the geographic impact of Byeong Gwan Bhang'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 Byeong Gwan Bhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byeong Gwan Bhang more than expected).
Fields of papers citing papers by Byeong Gwan Bhang
This network shows the impact of papers produced by Byeong Gwan Bhang. 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 Byeong Gwan Bhang. The network helps show where Byeong Gwan Bhang may publish in the future.
Co-authorship network of co-authors of Byeong Gwan Bhang
This figure shows the co-authorship network connecting the top 25 collaborators of Byeong Gwan Bhang. A scholar is included among the top collaborators of Byeong Gwan Bhang 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 Byeong Gwan Bhang. Byeong Gwan Bhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 13 | |
| 3 | 23 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 21 | |
| 7 | 39 | |
| 8 | 1 | |
| 9 | 110 | |
| 10 | 4 | |
| 11 | 28 | |
| 12 | 24 | |
| 13 | 7 | |
| 14 | 9 |
About Byeong Gwan Bhang
Byeong Gwan Bhang is a scholar working on Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology and Artificial Intelligence, having authored 14 papers that have together received 293 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (8 papers), Solar Thermal and Photovoltaic Systems (7 papers) and solar cell performance optimization (6 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (184 citations), Energy Engineering and Power Technology (31 citations) and Artificial Intelligence (135 citations). Byeong Gwan Bhang has collaborated with scholars based in South Korea. Frequent co-authors include Hyung‐Keun Ahn, So‐Young Park, Hae Gyun Lim, Neungsoo Park, So Young Park, Chang‐Hee Won, Dong Hee Kang, David H. Kim, Sang Hun Lee and Jinho Choi. Their work appears in journals such as IEEE Access, Solar Energy and Energies.
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.