Zhexuan Wang
Impact in
- Reproductive Medicine top 10%
- Hypothalamic control of reproductive hormones
- Ovarian function and disorders
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Retinal Development and Disorders 2
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- Machine Learning and Algorithms 2
- Privacy-Preserving Technologies in Data 2
- Co-authors
- Jing Tang (1 shared paper)Yiannis Andreopoulos (4 shared papers)Yiliguma Yiliguma (1 shared paper)Gengfeng Zheng (1 shared paper)Tian Xue (1 shared paper)Min Jiang (1 shared paper)Jiayi Zhang (2 shared papers)Yupu Diao (1 shared paper)
- Journals
- Agronomy (2 papers)Nature Communications (1 paper)Emerging Microbes & Infections (1 paper)Pharmacological Research (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Zhexuan Wang
22 papers receiving 303 citations
Peers
Comparison fields: 5 of 88
- Reproductive Medicine 51
- Cellular and Molecular Neuroscience 84
- Hepatology 22
- Behavioral Neuroscience 6
- Endocrine and Autonomic Systems 11
Countries citing papers authored by Zhexuan Wang
This map shows the geographic impact of Zhexuan 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 Zhexuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhexuan Wang more than expected).
Fields of papers citing papers by Zhexuan Wang
This network shows the impact of papers produced by Zhexuan 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 Zhexuan Wang. The network helps show where Zhexuan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhexuan 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 107 | |
| 2 | 2020 | 60 | |
| 3 | 2022 | 26 | |
| 4 | 2015 | 19 | |
| 5 | 2020 | 15 | |
| 6 | 2019 | 13 | |
| 7 | 2018 | 12 | |
| 8 | 2022 | 12 | |
| 9 | 2017 | 11 | |
| 10 | 2009 | 9 | |
| 11 | 2021 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2003 | 4 | |
| 14 | 2003 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 1 |
About Zhexuan Wang
Zhexuan Wang is a scholar working on Molecular Biology, Artificial Intelligence, Computational Mechanics, Aerospace Engineering and Hepatology, having authored 25 papers that have together received 307 indexed citations. Recurring topics across this work include Aerodynamics and Acoustics in Jet Flows (2 papers), Machine Learning and Algorithms (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Retinal Development and Disorders (2 papers), Privacy-Preserving Technologies in Data (2 papers), Traffic and Road Safety (2 papers), Fluid Dynamics and Turbulent Flows (2 papers) and Computational Fluid Dynamics and Aerodynamics (2 papers). The work is most often cited by research in Reproductive Medicine (51 citations), Cellular and Molecular Neuroscience (84 citations), Hepatology (22 citations), Behavioral Neuroscience (6 citations) and Endocrine and Autonomic Systems (11 citations). Zhexuan Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jing Tang, Yiannis Andreopoulos, Yiliguma Yiliguma, Gengfeng Zheng, Tian Xue, Min Jiang, Jiayi Zhang, Yupu Diao, Yanping Kuang and Hui Long. Their work appears in journals such as Agronomy, Nature Communications, Emerging Microbes & Infections, Pharmacological Research and Scientific Reports.
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.