Wei Yong
Impact in
- Metals and Alloys top 10%
- Hydrogen embrittlement and corrosion behaviors in metals
- Sensory Systems top 10%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
-
- Functional Brain Connectivity Studies 3
- Hearing Loss and Rehabilitation 2
- Co-authors
- Huadong Fu (5 shared papers)Jianxin Xie (5 shared papers)Hongtao Zhang (1 shared paper)Xindao Yin (9 shared papers)Yu‐Chen Chen (8 shared papers)Hong‐Tao Zhang (1 shared paper)Changsheng Wang (1 shared paper)Yuanqing Wu (4 shared papers)
- Journals
- Computational Materials Science (2 papers)Frontiers in Aging Neuroscience (2 papers)International Journal of Minerals Metallurgy and Materials (2 papers)Advanced Science (1 paper)Diabetes Therapy (1 paper)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Wei Yong
17 papers receiving 470 citations
Peers
Comparison fields: 5 of 69
- Metals and Alloys 34
- Sensory Systems 42
- Health Informatics 9
- Mechanical Engineering 197
- Neurology 30
Countries citing papers authored by Wei Yong
This map shows the geographic impact of Wei Yong'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 Wei Yong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Yong more than expected).
Fields of papers citing papers by Wei Yong
This network shows the impact of papers produced by Wei Yong. 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 Wei Yong. The network helps show where Wei Yong may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Yong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 175 | |
| 2 | 2022 | 52 | |
| 3 | 2020 | 37 | |
| 4 | 2021 | 33 | |
| 5 | 2022 | 29 | |
| 6 | 2019 | 27 | |
| 7 | 2022 | 25 | |
| 8 | 2020 | 23 | |
| 9 | 2017 | 20 | |
| 10 | 2019 | 17 | |
| 11 | 2022 | 16 | |
| 12 | 2024 | 7 | |
| 13 | 2022 | 5 | |
| 14 | MRI predictors of intracranial hemorrhage in acute ischemic stroke after endovascular thrombectomy therapy. | 2020 | 3 |
| 15 | 2021 | 3 | |
| 16 | 2024 | 2 | |
| 17 | Optimization of Grey Derivative in GM (1, 1) Based on the Discrete Exponential Sequence | 2014 | 1 |
| 18 | 2026 | 0 | |
| 19 | 2025 | 0 |
About Wei Yong
Wei Yong is a scholar working on Cognitive Neuroscience, Mechanical Engineering, Materials Chemistry, Sensory Systems and Neurology, having authored 19 papers that have together received 475 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), Functional Brain Connectivity Studies (3 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers), Aluminum Alloy Microstructure Properties (2 papers), Hydrogen embrittlement and corrosion behaviors in metals (2 papers), Vestibular and auditory disorders (2 papers), Hearing Loss and Rehabilitation (2 papers) and Titanium Alloys Microstructure and Properties (1 paper). The work is most often cited by research in Metals and Alloys (34 citations), Sensory Systems (42 citations), Health Informatics (9 citations), Mechanical Engineering (197 citations) and Neurology (30 citations). Wei Yong has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Huadong Fu, Jianxin Xie, Hongtao Zhang, Xindao Yin, Yu‐Chen Chen, Hong‐Tao Zhang, Changsheng Wang, Yuanqing Wu, Huiyou Chen and Jǐnjīng Xǔ. Their work appears in journals such as Computational Materials Science, Frontiers in Aging Neuroscience, International Journal of Minerals Metallurgy and Materials, Advanced Science and Diabetes Therapy.
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.