Ming Yang
Impact in
- Computational Theory and Mathematics top 0.5%
- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
-
- Metaheuristic Optimization Algorithms Research 22
- Evolutionary Algorithms and Applications 18
-
- Advanced Multi-Objective Optimization Algorithms 18
- Co-authors
- Changhe Li (17 shared papers)Fred D. Sack (2 shared papers)William Blyth (3 shared papers)Xin Yao (4 shared papers)Jing Guan (14 shared papers)Zhihua Cai (9 shared papers)Richard Bradley (3 shared papers)Thomas S. Wilson (2 shared papers)
- Journals
- Energy Policy (8 papers)Energy (5 papers)IEEE Transactions on Evolutionary Computation (4 papers)Resources Conservation and Recycling (2 papers)Information Sciences (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Ming Yang
91 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 138
- Computational Theory and Mathematics 641
- Artificial Intelligence 844
- Finance 253
- Economics and Econometrics 534
- General Energy 17
Countries citing papers authored by Ming Yang
This map shows the geographic impact of Ming Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yang more than expected).
Fields of papers citing papers by Ming Yang
This network shows the impact of papers produced by Ming Yang. 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 Yang. The network helps show where Ming Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Yang, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 265 | |
| 2 | 1995 | 245 | |
| 3 | 2007 | 226 | |
| 4 | 2019 | 195 | |
| 5 | 2014 | 188 | |
| 6 | 2007 | 179 | |
| 7 | 2016 | 92 | |
| 8 | 1998 | 82 | |
| 9 | 2015 | 72 | |
| 10 | 2020 | 68 | |
| 11 | 2014 | 58 | |
| 12 | 2014 | 52 | |
| 13 | Modeling Investment Risks and Uncertainties with Real Options Approach | 2007 | 52 |
| 14 | 2009 | 50 | |
| 15 | 2019 | 44 | |
| 16 | 2005 | 40 | |
| 17 | 2015 | 38 | |
| 18 | 2007 | 33 | |
| 19 | 2018 | 33 | |
| 20 | 1999 | 30 |
About Ming Yang
Ming Yang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Economics and Econometrics and Renewable Energy, Sustainability and the Environment, having authored 107 papers that have together received 2.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (22 papers), Advanced Multi-Objective Optimization Algorithms (18 papers), Evolutionary Algorithms and Applications (18 papers), Climate Change Policy and Economics (7 papers), Environmental Impact and Sustainability (7 papers), Energy, Environment, Economic Growth (6 papers), Capital Investment and Risk Analysis (6 papers) and Energy, Environment, and Transportation Policies (6 papers). The work is most often cited by research in Computational Theory and Mathematics (641 citations), Artificial Intelligence (844 citations), Finance (253 citations), Economics and Econometrics (534 citations) and General Energy (17 citations). Ming Yang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Changhe Li, Fred D. Sack, William Blyth, Xin Yao, Jing Guan, Zhihua Cai, Richard Bradley, Thomas S. Wilson, Derek W. Bunn and Mohammad Nabi Omidvar. Their work appears in journals such as Energy Policy, Energy, IEEE Transactions on Evolutionary Computation, Resources Conservation and Recycling and Information Sciences.
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.