Mingkun Dai
Impact in
- Building and Construction top 5%
- Building Energy and Comfort Optimization
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Building Energy and Comfort Optimization 11
-
- Smart Grid Energy Management 6
- Co-authors
- Mingyue Guo (1 shared paper)Ruikai He (1 shared paper)Peng Xu (1 shared paper)Tong Xiao (1 shared paper)Shelly L. Miller (1 shared paper)Shengwei Wang (7 shared papers)Hangxin Li (7 shared papers)Peng Xu (2 shared papers)
- Journals
- Building and Environment (2 papers)Journal of Building Engineering (2 papers)Energy (2 papers)Applied Energy (1 paper)Automation in Construction (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Mingkun Dai
10 papers receiving 344 citations
Peers
Comparison fields: 5 of 60
- Building and Construction 240
- Modeling and Simulation 27
- Environmental Engineering 80
- Pulmonary and Respiratory Medicine 125
- Health, Toxicology and Mutagenesis 42
Countries citing papers authored by Mingkun Dai
This map shows the geographic impact of Mingkun Dai'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 Mingkun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingkun Dai more than expected).
Fields of papers citing papers by Mingkun Dai
This network shows the impact of papers produced by Mingkun Dai. 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 Mingkun Dai. The network helps show where Mingkun Dai may publish in the future.
Co-authors
The 16 scholars most cited alongside Mingkun Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 173 | |
| 2 | 2023 | 59 | |
| 3 | 2023 | 29 | |
| 4 | 2019 | 28 | |
| 5 | 2020 | 19 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 12 | |
| 8 | 2024 | 11 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 1 | |
| 11 | 2025 | 0 |
About Mingkun Dai
Mingkun Dai is a scholar working on Building and Construction, Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering, having authored 11 papers that have together received 349 indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (11 papers), Smart Grid Energy Management (6 papers), Microgrid Control and Optimization (4 papers), Refrigeration and Air Conditioning Technologies (2 papers), Infection Control and Ventilation (1 paper), Water Systems and Optimization (1 paper), COVID-19 impact on air quality (1 paper) and Heat Transfer and Optimization (1 paper). The work is most often cited by research in Building and Construction (240 citations), Modeling and Simulation (27 citations), Environmental Engineering (80 citations), Pulmonary and Respiratory Medicine (125 citations) and Health, Toxicology and Mutagenesis (42 citations). Mingkun Dai has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Mingyue Guo, Ruikai He, Peng Xu, Tong Xiao, Shelly L. Miller, Shengwei Wang, Hangxin Li, Peng Xu, Shu Zeng and Chengchu Yan. Their work appears in journals such as Building and Environment, Journal of Building Engineering, Energy, Applied Energy and Automation in Construction.
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.