Ming Cheng
Impact in
- Health Informatics top 10%
- Geophysics top 10%
- Seismic Imaging and Inversion Techniques
- Seismic Waves and Analysis
Papers in
- Geophysics 18
- Seismic Imaging and Inversion Techniques 18
- Seismic Waves and Analysis 12
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- Seismology and Earthquake Studies 7
- Co-authors
- Xintong Dong (17 shared papers)Tie Zhong (12 shared papers)Shaoping Lu (10 shared papers)Yue Li (3 shared papers)Ning Wu (2 shared papers)Hongyu Hu (3 shared papers)Qi Wang (2 shared papers)Zhenhai Gao (2 shared papers)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (7 papers)Geophysics (5 papers)IEEE Geoscience and Remote Sensing Letters (3 papers)Frontiers in Oncology (2 papers)Frontiers in Psychiatry (1 paper)
- Partner nations
- ChinaVietnamUnited Kingdom
In The Last Decade
Ming Cheng
35 papers receiving 589 citations
Peers
Comparison fields: 5 of 87
- Health Informatics 21
- Geophysics 196
- Hepatology 46
- Ocean Engineering 99
- Artificial Intelligence 186
Countries citing papers authored by Ming Cheng
This map shows the geographic impact of Ming Cheng'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 Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Cheng more than expected).
Fields of papers citing papers by Ming Cheng
This network shows the impact of papers produced by Ming Cheng. 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 Cheng. The network helps show where Ming Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Cheng, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 159 | |
| 2 | 2021 | 51 | |
| 3 | 2021 | 44 | |
| 4 | 2021 | 35 | |
| 5 | 2021 | 32 | |
| 6 | On Evaluating and Comparing Conversational Agents | 2018 | 27 |
| 7 | 2021 | 24 | |
| 8 | 2022 | 23 | |
| 9 | 2022 | 20 | |
| 10 | 2023 | 19 | |
| 11 | 2022 | 17 | |
| 12 | 2020 | 17 | |
| 13 | 2024 | 12 | |
| 14 | 2016 | 12 | |
| 15 | 2016 | 10 | |
| 16 | 2024 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2023 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 8 |
About Ming Cheng
Ming Cheng is a scholar working on Geophysics, Artificial Intelligence, Ocean Engineering, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 41 papers that have together received 599 indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (18 papers), Seismic Waves and Analysis (12 papers), Seismology and Earthquake Studies (7 papers), Drilling and Well Engineering (5 papers), Image and Signal Denoising Methods (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Hydrocarbon exploration and reservoir analysis (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Health Informatics (21 citations), Geophysics (196 citations), Hepatology (46 citations), Ocean Engineering (99 citations) and Artificial Intelligence (186 citations). Ming Cheng has collaborated with scholars based in China, Vietnam and United Kingdom. Frequent co-authors include Xintong Dong, Tie Zhong, Shaoping Lu, Yue Li, Ning Wu, Hongyu Hu, Qi Wang, Zhenhai Gao, Sarun Juengpanich and Yifan Wang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Geophysics, IEEE Geoscience and Remote Sensing Letters, Frontiers in Oncology and Frontiers in Psychiatry.
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.