Ming Yan
Impact in
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- Magnetic Properties and Applications
- Magnetic Properties of Alloys
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- Magnetic properties of thin films
Papers in
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- Magnetic properties of thin films 40
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- Topic Modeling 19
- Natural Language Processing Techniques 13
- Co-authors
- D. J. Sellmyer (20 shared papers)Zhipeng Liu (4 shared papers)Zhiyong Jiang (4 shared papers)Nathan Powers (3 shared papers)D. J. Sellmyer (5 shared papers)Hao Zeng (4 shared papers)R. P. H. Chang (1 shared paper)Y. F. Xu (10 shared papers)
- Journals
- Journal of Applied Physics (15 papers)IEEE Transactions on Magnetics (7 papers)Journal of Magnetism and Magnetic Materials (4 papers)Applied Physics Letters (3 papers)Big Data Mining and Analytics (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Ming Yan
96 papers receiving 2.1k citations
Ming Yan's Hit Papers
Peers
Comparison fields: 5 of 136
- Electronic, Optical and Magnetic Materials 694
- Atomic and Molecular Physics, and Optics 877
- Materials Chemistry 715
- Condensed Matter Physics 168
- Biomedical Engineering 472
Countries citing papers authored by Ming Yan
This map shows the geographic impact of Ming Yan'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 Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yan more than expected).
Fields of papers citing papers by Ming Yan
This network shows the impact of papers produced by Ming Yan. 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 Yan. The network helps show where Ming Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Yan, 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Borondifluoride‐Complex‐Based Photothermal Agent with an 80 % Photothermal Conversion Efficiency for Photothermal Therapy in the NIR‐II Window Hit paper breakdown → | 2021 | 253 |
| 2 | 2002 | 175 | |
| 3 | 2019 | 165 | |
| 4 | 2001 | 152 | |
| 5 | 2003 | 95 | |
| 6 | 2003 | 92 | |
| 7 | 2021 | 88 | |
| 8 | 2020 | 68 | |
| 9 | 2001 | 57 | |
| 10 | 2003 | 56 | |
| 11 | 2013 | 53 | |
| 12 | 2002 | 50 | |
| 13 | 2021 | 41 | |
| 14 | 2006 | 39 | |
| 15 | 2005 | 38 | |
| 16 | 2004 | 34 | |
| 17 | 2007 | 30 | |
| 18 | 2019 | 30 | |
| 19 | 2022 | 28 | |
| 20 | 2005 | 27 |
About Ming Yan
Ming Yan is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Electronic, Optical and Magnetic Materials, Computer Vision and Pattern Recognition and Materials Chemistry, having authored 104 papers that have together received 2.2k indexed citations. Recurring topics across this work include Magnetic properties of thin films (40 papers), Magnetic Properties and Applications (22 papers), Topic Modeling (19 papers), Natural Language Processing Techniques (13 papers), Multimodal Machine Learning Applications (12 papers), Magnetic Properties of Alloys (11 papers), Theoretical and Computational Physics (7 papers) and Metallic Glasses and Amorphous Alloys (5 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (694 citations), Atomic and Molecular Physics, and Optics (877 citations), Materials Chemistry (715 citations), Condensed Matter Physics (168 citations) and Biomedical Engineering (472 citations). Ming Yan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include D. J. Sellmyer, Zhipeng Liu, Zhiyong Jiang, Nathan Powers, D. J. Sellmyer, Hao Zeng, R. P. H. Chang, Y. F. Xu, Xiaoqing Wang and Xiaoqing Wang. Their work appears in journals such as Journal of Applied Physics, IEEE Transactions on Magnetics, Journal of Magnetism and Magnetic Materials, Applied Physics Letters and Big Data Mining and Analytics.
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.