Zhanfeng Wang
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Inorganic Chemistry top 10%
- Metal-Catalyzed Oxygenation Mechanisms
Papers in
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- DNA and Nucleic Acid Chemistry 6
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- Statistical Methods and Inference 13
- Advanced Statistical Methods and Models 7
- Statistical Distribution Estimation and Applications 4
- Co-authors
- Sason Shaik (5 shared papers)David Danovich (2 shared papers)Jyothish Joy (1 shared paper)Thijs Stuyver (1 shared paper)Binju Wang (13 shared papers)Rajeev Ramanan (1 shared paper)Yuan‐chin Ivan Chang (3 shared papers)Zhiliang Ying (3 shared papers)
In The Last Decade
Zhanfeng Wang
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 120
- Statistics and Probability 106
- Inorganic Chemistry 131
- Electrochemistry 53
- Catalysis 59
- Pharmacology 60
Countries citing papers authored by Zhanfeng Wang
This map shows the geographic impact of Zhanfeng 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 Zhanfeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhanfeng Wang more than expected).
Fields of papers citing papers by Zhanfeng Wang
This network shows the impact of papers produced by Zhanfeng 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 Zhanfeng Wang. The network helps show where Zhanfeng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhanfeng 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 282 | |
| 2 | 2018 | 129 | |
| 3 | 2020 | 72 | |
| 4 | 2015 | 53 | |
| 5 | 2023 | 43 | |
| 6 | 2010 | 42 | |
| 7 | 2023 | 41 | |
| 8 | 2007 | 39 | |
| 9 | 2021 | 39 | |
| 10 | 2016 | 29 | |
| 11 | 2016 | 29 | |
| 12 | 2019 | 27 | |
| 13 | 2021 | 25 | |
| 14 | 2020 | 24 | |
| 15 | 2022 | 20 | |
| 16 | 2016 | 19 | |
| 17 | 2022 | 18 | |
| 18 | 2012 | 14 | |
| 19 | 2023 | 11 | |
| 20 | 2008 | 10 |
About Zhanfeng Wang
Zhanfeng Wang is a scholar working on Molecular Biology, Statistics and Probability, Inorganic Chemistry, Biomedical Engineering and Mechanics of Materials, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Metal-Catalyzed Oxygenation Mechanisms (9 papers), Advanced Statistical Methods and Models (7 papers), DNA and Nucleic Acid Chemistry (6 papers), Metal and Thin Film Mechanics (5 papers), Statistical Distribution Estimation and Applications (4 papers), Additive Manufacturing Materials and Processes (4 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Statistics and Probability (106 citations), Inorganic Chemistry (131 citations), Electrochemistry (53 citations), Catalysis (59 citations) and Pharmacology (60 citations). Zhanfeng Wang has collaborated with scholars based in China, Hong Kong and Spain. Frequent co-authors include Sason Shaik, David Danovich, Jyothish Joy, Thijs Stuyver, Binju Wang, Rajeev Ramanan, Yuan‐chin Ivan Chang, Zhiliang Ying, Carme Rovira and Yuanyuan Lin. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition, ACS Catalysis, Applied Mathematics and Nonlinear Sciences and Journal of Statistical Planning and Inference.
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.