Heying Wang
Impact in
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- Industrial Vision Systems and Defect Detection
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- Advanced Neural Network Applications
- Image and Object Detection Techniques
Papers in
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- Acute Ischemic Stroke Management 7
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- Cerebrovascular and Carotid Artery Diseases 4
- Co-authors
- Kun Liu (3 shared papers)Ying Tian (3 shared papers)Haiyong Chen (2 shared papers)Guilian Zhang (17 shared papers)Lili Zhao (10 shared papers)Yiheng Zhang (8 shared papers)Yingying Guo (2 shared papers)Ye Li (5 shared papers)
- Journals
- BMJ Open (2 papers)Neurological Sciences (2 papers)Neurocomputing (1 paper)Computers in Industry (1 paper)Medicine (1 paper)
- Partner nations
- ChinaSpainUnited Kingdom
In The Last Decade
Heying Wang
27 papers receiving 535 citations
Peers
Comparison fields: 5 of 99
- Industrial and Manufacturing Engineering 279
- Computer Vision and Pattern Recognition 148
- Internal Medicine 19
- Computational Mechanics 96
- Neurology 38
Countries citing papers authored by Heying Wang
This map shows the geographic impact of Heying Wang'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 Heying Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heying Wang more than expected).
Fields of papers citing papers by Heying Wang
This network shows the impact of papers produced by Heying Wang. 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 Heying Wang. The network helps show where Heying Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Heying Wang, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 133 | |
| 2 | 2018 | 115 | |
| 3 | 2020 | 38 | |
| 4 | 2019 | 29 | |
| 5 | 2019 | 25 | |
| 6 | 2019 | 25 | |
| 7 | 2023 | 24 | |
| 8 | 2024 | 17 | |
| 9 | 2022 | 15 | |
| 10 | 2019 | 15 | |
| 11 | 2019 | 14 | |
| 12 | 2022 | 12 | |
| 13 | 2023 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2017 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2021 | 6 | |
| 19 | The Role of Blood-Brain Barrier Damage in the Pathogenesis of Contrast-Induced Encephalopathy. | 2018 | 5 |
| 20 | 2019 | 5 |
About Heying Wang
Heying Wang is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Neurology, Computer Vision and Pattern Recognition and Molecular Biology, having authored 29 papers that have together received 544 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (7 papers), Industrial Vision Systems and Defect Detection (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Advanced Neural Network Applications (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Dysphagia Assessment and Management (2 papers), Tryptophan and brain disorders (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (279 citations), Computer Vision and Pattern Recognition (148 citations), Internal Medicine (19 citations), Computational Mechanics (96 citations) and Neurology (38 citations). Heying Wang has collaborated with scholars based in China, Spain and United Kingdom. Frequent co-authors include Kun Liu, Ying Tian, Haiyong Chen, Guilian Zhang, Lili Zhao, Yiheng Zhang, Yingying Guo, Ye Li, Ziwei Lu and Lei Zhang. Their work appears in journals such as BMJ Open, Neurological Sciences, Neurocomputing, Computers in Industry and Medicine.
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.