Ming Yi
Impact in
- Structural Biology top 10%
Papers in
-
- Industrial Vision Systems and Defect Detection 6
- Co-authors
- Jan E. Schnitzer (1 shared paper)Jonathan C. Cohen (1 shared paper)Guocheng He (1 shared paper)Sarita S. Gupta (1 shared paper)Peter Michaely (1 shared paper)Helen H. Hobbs (1 shared paper)Zejun Ding (12 shared papers)Roop L. Mahajan (8 shared papers)
- Journals
- IEEE Transactions on Power Systems (4 papers)Physical review. E (4 papers)Chinese Physics Letters (3 papers)New Journal of Physics (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ming Yi
75 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 148
- Structural Biology 14
- Cancer Research 106
- Surfaces, Coatings and Films 51
- Hepatology 47
- Cell Biology 103
Countries citing papers authored by Ming Yi
This map shows the geographic impact of Ming Yi'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 Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yi more than expected).
Fields of papers citing papers by Ming Yi
This network shows the impact of papers produced by Ming Yi. 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 Yi. The network helps show where Ming Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Yi, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 193 | |
| 2 | 2006 | 103 | |
| 3 | 2009 | 94 | |
| 4 | 2002 | 67 | |
| 5 | 1990 | 49 | |
| 6 | 2024 | 47 | |
| 7 | 2018 | 35 | |
| 8 | 2019 | 32 | |
| 9 | Evidence that the Igkappa gene MAR regulates the probability of premature V-J joining and somatic hypermutation. | 1999 | 30 |
| 10 | 2019 | 29 | |
| 11 | 2012 | 28 | |
| 12 | 1999 | 27 | |
| 13 | 2020 | 27 | |
| 14 | 2023 | 22 | |
| 15 | 2016 | 22 | |
| 16 | 2007 | 21 | |
| 17 | 2020 | 21 | |
| 18 | 2023 | 21 | |
| 19 | 2010 | 20 | |
| 20 | 2014 | 19 |
About Ming Yi
Ming Yi is a scholar working on Structural Biology, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, Surfaces, Coatings and Films and Atomic and Molecular Physics, and Optics, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thermal properties of materials (10 papers), Industrial Vision Systems and Defect Detection (6 papers), Image and Object Detection Techniques (6 papers), Electron and X-Ray Spectroscopy Techniques (5 papers), Smart Grid Energy Management (5 papers), Thermal Radiation and Cooling Technologies (4 papers), Power System Optimization and Stability (4 papers) and Energy Load and Power Forecasting (4 papers). The work is most often cited by research in Structural Biology (14 citations), Cancer Research (106 citations), Surfaces, Coatings and Films (51 citations), Hepatology (47 citations) and Cell Biology (103 citations). Ming Yi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jan E. Schnitzer, Jonathan C. Cohen, Guocheng He, Sarita S. Gupta, Peter Michaely, Helen H. Hobbs, Zejun Ding, Roop L. Mahajan, Carole R. Mendelson and Shraga Nahum Goldberg. Their work appears in journals such as IEEE Transactions on Power Systems, Physical review. E, Chinese Physics Letters, New Journal of Physics and Journal of Biological Chemistry.
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.