Ming Jin
Impact in
- Building and Construction top 1%
- Building Energy and Comfort Optimization
Papers in
-
- Smart Grid Energy Management 18
- Indoor and Outdoor Localization Technologies 9
- Power System Optimization and Stability 6
-
- Adversarial Robustness in Machine Learning 6
- Anomaly Detection Techniques and Applications 5
- Co-authors
- Costas J. Spanos (31 shared papers)Wei Feng (5 shared papers)Stefano Schiavon (5 shared papers)Chris Marnay (5 shared papers)Javad Lavaei (10 shared papers)Ruoxi Jia (15 shared papers)Shichao Liu (3 shared papers)Han Zou (7 shared papers)
- Journals
- Applied Energy (7 papers)Building and Environment (3 papers)IEEE Transactions on Smart Grid (2 papers)IEEE Control Systems Letters (2 papers)Sensors (2 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Ming Jin
80 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 119
- Building and Construction 639
- Energy Engineering and Power Technology 108
- Control and Systems Engineering 777
- Environmental Engineering 305
- Electrical and Electronic Engineering 1.2k
Countries citing papers authored by Ming Jin
This map shows the geographic impact of Ming Jin'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 Ming Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Jin more than expected).
Fields of papers citing papers by Ming Jin
This network shows the impact of papers produced by Ming Jin. 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 Ming Jin. The network helps show where Ming Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 231 | |
| 2 | 2017 | 156 | |
| 3 | 2017 | 155 | |
| 4 | 2018 | 133 | |
| 5 | 2016 | 129 | |
| 6 | 2017 | 115 | |
| 7 | 2016 | 109 | |
| 8 | 2021 | 100 | |
| 9 | 2018 | 85 | |
| 10 | 2017 | 84 | |
| 11 | 2008 | 78 | |
| 12 | 2020 | 71 | |
| 13 | 2018 | 68 | |
| 14 | 2018 | 65 | |
| 15 | 2019 | 63 | |
| 16 | 2024 | 52 | |
| 17 | 2014 | 50 | |
| 18 | 2020 | 49 | |
| 19 | 2020 | 47 | |
| 20 | 2008 | 43 |
About Ming Jin
Ming Jin is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering, Building and Construction and Computer Networks and Communications, having authored 85 papers that have together received 2.5k indexed citations. Recurring topics across this work include Smart Grid Energy Management (18 papers), Building Energy and Comfort Optimization (12 papers), Indoor and Outdoor Localization Technologies (9 papers), Smart Grid Security and Resilience (8 papers), Microgrid Control and Optimization (8 papers), Adversarial Robustness in Machine Learning (6 papers), Power System Optimization and Stability (6 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Building and Construction (639 citations), Energy Engineering and Power Technology (108 citations), Control and Systems Engineering (777 citations), Environmental Engineering (305 citations) and Electrical and Electronic Engineering (1.2k citations). Ming Jin has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Costas J. Spanos, Wei Feng, Stefano Schiavon, Chris Marnay, Javad Lavaei, Ruoxi Jia, Shichao Liu, Han Zou, H. Das and Alexandre M. Bayen. Their work appears in journals such as Applied Energy, Building and Environment, IEEE Transactions on Smart Grid, IEEE Control Systems Letters and Sensors.
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.