Zhiping Feng
- Molecular Biology top 10%
- Machine Learning in Bioinformatics 11
- RNA and protein synthesis mechanisms 7
- Protein Structure and Dynamics 6
- Cancer Research top 10%
- Water Science and Technology top 5%
- Biomedical Engineering top 5%
- Advanced Sensor and Energy Harvesting Materials 17
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- Microwave Engineering and Waveguides 10
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- Marine and fisheries research 9
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- Tactile and Sensory Interactions 9
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- Cephalopods and Marine Biology 8
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Molecular Biology (2 papers)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Zhiping Feng
87 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Renewable Energy, Sustainability and the Environment 584
- Molecular Biology 1.2k
- Cancer Research 235
- Water Science and Technology 204
- Biomedical Engineering 629
Countries citing papers authored by Zhiping Feng
This map shows the geographic impact of Zhiping Feng'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 Zhiping Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhiping Feng more than expected).
Fields of papers citing papers by Zhiping Feng
This network shows the impact of papers produced by Zhiping Feng. 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 Zhiping Feng. The network helps show where Zhiping Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhiping Feng, 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 | 2025 | 2 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 20 | |
| 8 | 2022 | 40 | |
| 9 | 2021 | 53 | |
| 10 | 2019 | 43 | |
| 11 | 2013 | 14 | |
| 12 | 2012 | 87 | |
| 13 | 2009 | 3 | |
| 14 | 2008 | 10 | |
| 15 | 2008 | 91 | |
| 16 | 2006 | 89 | |
| 17 | 2006 | 27 | |
| 18 | 2005 | 28 | |
| 19 | 2002 | 26 | |
| 20 | 1998 | 51 |
About Zhiping Feng
Zhiping Feng is a scholar working on Cancer Research, Biomedical Engineering and Bioengineering, having authored 89 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (17 papers), Machine Learning in Bioinformatics (11 papers), Microwave Engineering and Waveguides (10 papers), Marine and fisheries research (9 papers), Tactile and Sensory Interactions (9 papers), Cephalopods and Marine Biology (8 papers), RNA and protein synthesis mechanisms (7 papers) and Protein Structure and Dynamics (6 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (584 citations), Molecular Biology (1.2k citations) and Cancer Research (235 citations). Zhiping Feng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chun‐Ting Zhang, Jin Yang, Yufen Wu, Raymond S. Norton, Qiang He, Pengjie Liu, James Chen, Fukun Chen, Zhiyi Lu and Guangxu Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Advanced Functional Materials.
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.