Meng Yang
Impact in
- Health Informatics top 5%
- Orthodontics top 10%
Papers in
-
- Hepatitis B Virus Studies 7
- Mycobacterium research and diagnosis 2
- Co-authors
- Xiangchun Li (1 shared paper)Yan Sun (1 shared paper)Shuhao Wang (1 shared paper)Yahui Jiang (1 shared paper)Licheng Jiao (7 shared papers)Ronghua Shang (7 shared papers)Shuyuan Yang (3 shared papers)Wenya Zhang (2 shared papers)
- Journals
- Engineering Applications of Artificial Intelligence (2 papers)Food & Function (2 papers)BMC Medicine (1 paper)Neurocomputing (1 paper)Journal of Neural Engineering (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Meng Yang
44 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 127
- Health Informatics 36
- Orthodontics 50
- Cancer Research 152
- Computer Vision and Pattern Recognition 214
- Media Technology 85
Countries citing papers authored by Meng Yang
This map shows the geographic impact of Meng 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 Meng Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Yang more than expected).
Fields of papers citing papers by Meng Yang
This network shows the impact of papers produced by Meng 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 Meng Yang. The network helps show where Meng Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 304 | |
| 2 | 2017 | 69 | |
| 3 | 2018 | 66 | |
| 4 | 2018 | 62 | |
| 5 | 2019 | 59 | |
| 6 | 2019 | 43 | |
| 7 | 2019 | 42 | |
| 8 | 2020 | 40 | |
| 9 | 2020 | 33 | |
| 10 | 2018 | 32 | |
| 11 | 2017 | 32 | |
| 12 | 2019 | 29 | |
| 13 | 2020 | 26 | |
| 14 | 2019 | 21 | |
| 15 | 2021 | 16 | |
| 16 | 2023 | 15 | |
| 17 | 2020 | 14 | |
| 18 | 2022 | 14 | |
| 19 | 2018 | 14 | |
| 20 | 2024 | 12 |
About Meng Yang
Meng Yang is a scholar working on Epidemiology, Molecular Biology, Oncology, Cancer Research and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Face and Expression Recognition (6 papers), Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (4 papers), Remote-Sensing Image Classification (3 papers), Muscle activation and electromyography studies (3 papers), Hepatitis C virus research (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Health Informatics (36 citations), Orthodontics (50 citations), Cancer Research (152 citations), Computer Vision and Pattern Recognition (214 citations) and Media Technology (85 citations). Meng Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiangchun Li, Yan Sun, Shuhao Wang, Yahui Jiang, Licheng Jiao, Ronghua Shang, Shuyuan Yang, Wenya Zhang, You Wang and Guang Li. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Food & Function, BMC Medicine, Neurocomputing and Journal of Neural Engineering.
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.