Mingdai Yang
Impact in
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- Advanced Battery Materials and Technologies
- Advancements in Battery Materials
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- Advanced Battery Technologies Research
Papers in
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- Recommender Systems and Techniques 11
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- Advanced Battery Technologies Research 2
- Co-authors
- Xiaolong Leng (7 shared papers)Tae Jo Ko (8 shared papers)Changping Li (6 shared papers)Jie Zeng (4 shared papers)Jielin Chen (4 shared papers)Waqas Ul Arifeen (3 shared papers)Jaesool Shim (2 shared papers)Shuang Li (2 shared papers)
- Journals
- Chemical Engineering Journal (2 papers)Electrochimica Acta (1 paper)Applied Catalysis B: Environmental (1 paper)Journal of Energy Chemistry (1 paper)International Journal of Heat and Mass Transfer (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Mingdai Yang
20 papers receiving 318 citations
Peers
Comparison fields: 5 of 33
- Electrical and Electronic Engineering 158
- Automotive Engineering 24
- Information Systems 48
- Inorganic Chemistry 16
- Computational Mechanics 23
Countries citing papers authored by Mingdai Yang
This map shows the geographic impact of Mingdai 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 Mingdai Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingdai Yang more than expected).
Fields of papers citing papers by Mingdai Yang
This network shows the impact of papers produced by Mingdai 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 Mingdai Yang. The network helps show where Mingdai Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingdai 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 100 | |
| 2 | 2021 | 50 | |
| 3 | 2019 | 41 | |
| 4 | 2025 | 24 | |
| 5 | 2023 | 17 | |
| 6 | 2024 | 15 | |
| 7 | 2024 | 13 | |
| 8 | 2024 | 12 | |
| 9 | 2022 | 10 | |
| 10 | 2023 | 10 | |
| 11 | 2018 | 8 | |
| 12 | 2024 | 8 | |
| 13 | 2023 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2021 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 1 |
About Mingdai Yang
Mingdai Yang is a scholar working on Information Systems, Automotive Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Biomaterials, having authored 23 papers that have together received 328 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (11 papers), Advanced Battery Materials and Technologies (5 papers), Advanced Battery Technologies Research (2 papers), Neural Networks and Reservoir Computing (1 paper), Advanced Graph Neural Networks (1 paper), Power Line Inspection Robots (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (158 citations), Automotive Engineering (24 citations), Information Systems (48 citations), Inorganic Chemistry (16 citations) and Computational Mechanics (23 citations). Mingdai Yang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xiaolong Leng, Tae Jo Ko, Changping Li, Jie Zeng, Jielin Chen, Waqas Ul Arifeen, Jaesool Shim, Shuang Li, S.V. Prabhakar Vattikuti and Philip S. Yu. Their work appears in journals such as Chemical Engineering Journal, Electrochimica Acta, Applied Catalysis B: Environmental, Journal of Energy Chemistry and International Journal of Heat and Mass Transfer.
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.