Ruofan Wang
- Cognitive Neuroscience top 5%
- Catalysis top 10%
- Catalysis and Oxidation Reactions 3
- Materials Chemistry top 5%
- Advancements in Solid Oxide Fuel Cells 22
- Electronic and Structural Properties of Oxides 11
- Computational Mathematics top 10%
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- Chemical Looping and Thermochemical Processes 7
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- Electrocatalysts for Energy Conversion 6
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- Fuel Cells and Related Materials 5
- Advanced Fiber Optic Sensors 4
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- Magnetic and transport properties of perovskites and related materials 3
- Co-authors
- Helen D’ArceuilGuangping DaiAlex J. de CrespignyDeepak Ν. PandyaVan J. WedeenJeremy D. SchmahmannMichael C. TuckerSoumendra N. Basu
- Journals
- Brain (1 paper)Applied and Environmental Microbiology (1 paper)Journal of Power Sources (9 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ruofan Wang
49 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Cognitive Neuroscience 507
- Radiology, Nuclear Medicine and Imaging 542
- Catalysis 123
- Materials Chemistry 759
- Computational Mathematics 9
Countries citing papers authored by Ruofan Wang
This map shows the geographic impact of Ruofan 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 Ruofan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruofan Wang more than expected).
Fields of papers citing papers by Ruofan Wang
This network shows the impact of papers produced by Ruofan 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 Ruofan Wang. The network helps show where Ruofan Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruofan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 12 | |
| 12 | 2024 | 3 | |
| 13 | 2022 | 17 | |
| 14 | 2022 | 50 | |
| 15 | 2021 | 34 | |
| 16 | 2020 | 45 | |
| 17 | 2019 | 52 | |
| 18 | 2018 | 90 | |
| 19 | 2013 | 14 | |
| 20 | Association fibre pathways of the brain: parallel observations from diffusion spectrum imaging and autoradiographybreakdown → | 2007 | 807 |
About Ruofan Wang
Ruofan Wang is a scholar working on Materials Chemistry, Catalysis and Renewable Energy, Sustainability and the Environment, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advancements in Solid Oxide Fuel Cells (22 papers), Electronic and Structural Properties of Oxides (11 papers), Chemical Looping and Thermochemical Processes (7 papers), Electrocatalysts for Energy Conversion (6 papers), Fuel Cells and Related Materials (5 papers), Advanced Fiber Optic Sensors (4 papers), Magnetic and transport properties of perovskites and related materials (3 papers) and Catalysis and Oxidation Reactions (3 papers). The work is most often cited by research in Cognitive Neuroscience (507 citations), Radiology, Nuclear Medicine and Imaging (542 citations) and Catalysis (123 citations). Ruofan Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Helen D’Arceuil, Guangping Dai, Alex J. de Crespigny, Deepak Ν. Pandya, Van J. Wedeen, Jeremy D. Schmahmann, Michael C. Tucker, Soumendra N. Basu, Srikanth Gopalan and Uday B. Pal. Their work appears in journals such as Brain, Applied and Environmental Microbiology and Journal of Power Sources.
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.