Heming Yao
Impact in
- Health Informatics top 10%
Papers in
-
- Spectroscopy and Chemometric Analyses 6
- Oncology 5
- Colorectal Cancer Screening and Detection 4
- Co-authors
- Jonathan Gryak (10 shared papers)Kayvan Najarian (9 shared papers)Ryan W. Stidham (3 shared papers)H. Jeffrey Wilkins (2 shared papers)Michael Rice (3 shared papers)Shrinivas Bishu (3 shared papers)Akbar K. Waljee (1 shared paper)Craig A. Williamson (2 shared papers)
- Journals
- Chemometrics and Intelligent Laboratory Systems (3 papers)Journal of Crohn s and Colitis (2 papers)Artificial Intelligence in Medicine (1 paper)Gastroenterology (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesChinaMalaysia
In The Last Decade
Heming Yao
24 papers receiving 315 citations
Peers
Comparison fields: 5 of 82
- Health Informatics 20
- Medical Terminology 2
- Analytical Chemistry 59
- Biophysics 34
- Health Information Management 27
Countries citing papers authored by Heming Yao
This map shows the geographic impact of Heming Yao'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 Heming Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heming Yao more than expected).
Fields of papers citing papers by Heming Yao
This network shows the impact of papers produced by Heming Yao. 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 Heming Yao. The network helps show where Heming Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Heming Yao, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2016 | 53 | |
| 3 | 2018 | 33 | |
| 4 | 2020 | 33 | |
| 5 | 2016 | 15 | |
| 6 | 2018 | 13 | |
| 7 | 2019 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2017 | 10 | |
| 10 | 2015 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2018 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2018 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2019 | 3 | |
| 20 | 2024 | 2 |
About Heming Yao
Heming Yao is a scholar working on Analytical Chemistry, Oncology, Epidemiology, Molecular Biology and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 323 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (6 papers), Colorectal Cancer Screening and Detection (4 papers), Advanced Statistical Methods and Models (3 papers), Genomics and Phylogenetic Studies (3 papers), Mycobacterium research and diagnosis (3 papers), Heart Failure Treatment and Management (2 papers), Image Processing Techniques and Applications (2 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Health Informatics (20 citations), Medical Terminology (2 citations), Analytical Chemistry (59 citations), Biophysics (34 citations) and Health Information Management (27 citations). Heming Yao has collaborated with scholars based in United States, China and Malaysia. Frequent co-authors include Jonathan Gryak, Kayvan Najarian, Ryan W. Stidham, H. Jeffrey Wilkins, Michael Rice, Shrinivas Bishu, Akbar K. Waljee, Craig A. Williamson, Minghui Wang and Yiping Du. Their work appears in journals such as Chemometrics and Intelligent Laboratory Systems, Journal of Crohn s and Colitis, Artificial Intelligence in Medicine, Gastroenterology and Journal of Neuroscience.
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.