Haiping Fang
- Catalysis top 2%
- Water Science and Technology top 1%
- Minerals Flotation and Separation Techniques 12
- Biomedical Engineering top 0.5%
- Nanopore and Nanochannel Transport Studies 46
- Materials Chemistry top 2%
- Graphene research and applications 28
- Carbon Nanotubes in Composites 12
- Surfaces, Coatings and Films top 2%
-
- Spectroscopy and Quantum Chemical Studies 28
-
- Lattice Boltzmann Simulation Studies 22
- Fluid Dynamics and Vibration Analysis 11
-
- nanoparticles nucleation surface interactions 16
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of the American Chemical Society (4 papers)Physical Review Letters (7 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Haiping Fang
160 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Catalysis 547
- Water Science and Technology 979
- Biomedical Engineering 3.1k
- Materials Chemistry 2.6k
- Surfaces, Coatings and Films 344
Countries citing papers authored by Haiping Fang
This map shows the geographic impact of Haiping Fang'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 Haiping Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiping Fang more than expected).
Fields of papers citing papers by Haiping Fang
This network shows the impact of papers produced by Haiping Fang. 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 Haiping Fang. The network helps show where Haiping Fang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haiping Fang, 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 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 5 | |
| 15 | 2021 | 2 | |
| 16 | 2020 | 13 | |
| 17 | 2020 | 8 | |
| 18 | 2018 | 130 | |
| 19 | 2017 | 9 | |
| 20 | 2003 | 6 |
About Haiping Fang
Haiping Fang is a scholar working on Biomedical Engineering, Water Science and Technology and Physical and Theoretical Chemistry, having authored 166 papers that have together received 6.8k indexed citations. Recurring topics across this work include Nanopore and Nanochannel Transport Studies (46 papers), Spectroscopy and Quantum Chemical Studies (28 papers), Graphene research and applications (28 papers), Lattice Boltzmann Simulation Studies (22 papers), nanoparticles nucleation surface interactions (16 papers), Carbon Nanotubes in Composites (12 papers), Minerals Flotation and Separation Techniques (12 papers) and Fluid Dynamics and Vibration Analysis (11 papers). The work is most often cited by research in Catalysis (547 citations), Water Science and Technology (979 citations) and Biomedical Engineering (3.1k citations). Haiping Fang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Rongzheng Wan, Chunlei Wang, Hangjun Lu, Jun Hu, Chunhai Fan, Yusong Tu, Guosheng Shi, Wenpeng Qi, Bo Song and Jingyuan Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.
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.