Tianda Fu
Impact in
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- Solar-Powered Water Purification Methods
- Biomedical Engineering top 5%
- Advanced Sensor and Energy Harvesting Materials
Papers in
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- Advanced Memory and Neural Computing 6
- Gas Sensing Nanomaterials and Sensors 2
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- Neuroscience and Neural Engineering 7
- Photoreceptor and optogenetics research 4
- Co-authors
- Jun Yao (13 shared papers)Xiaomeng Liu (9 shared papers)Hongyan Gao (10 shared papers)Derek R. Lovley (6 shared papers)Bing Yin (4 shared papers)Joy E. Ward (3 shared papers)Jianhan Chen (2 shared papers)Xiaorong Liu (2 shared papers)
- Journals
- Nature Communications (4 papers)Nano Letters (2 papers)Advanced Materials (1 paper)Nanoscale (1 paper)Nature (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Tianda Fu
15 papers receiving 1.5k citations
Tianda Fu's Hit Papers
Peers
Comparison fields: 5 of 82
- Renewable Energy, Sustainability and the Environment 412
- Biomedical Engineering 731
- Electrical and Electronic Engineering 805
- Polymers and Plastics 184
- Cellular and Molecular Neuroscience 231
Countries citing papers authored by Tianda Fu
This map shows the geographic impact of Tianda Fu'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 Tianda Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianda Fu more than expected).
Fields of papers citing papers by Tianda Fu
This network shows the impact of papers produced by Tianda Fu. 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 Tianda Fu. The network helps show where Tianda Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tianda Fu, 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 | Power generation from ambient humidity using protein nanowires Hit paper breakdown → | 2020 | 662 |
| 2 | 2020 | 208 | |
| 3 | 2018 | 170 | |
| 4 | 2022 | 140 | |
| 5 | 2021 | 72 | |
| 6 | 2020 | 64 | |
| 7 | 2020 | 59 | |
| 8 | 2015 | 57 | |
| 9 | 2023 | 39 | |
| 10 | 2022 | 23 | |
| 11 | 2022 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2018 | 10 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 6 |
About Tianda Fu
Tianda Fu is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Biomedical Engineering, Mechanical Engineering and Cognitive Neuroscience, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (7 papers), Advanced Memory and Neural Computing (6 papers), Photoreceptor and optogenetics research (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Tactile and Sensory Interactions (2 papers), Gas Sensing Nanomaterials and Sensors (2 papers), Advanced Chemical Sensor Technologies (2 papers) and Solar-Powered Water Purification Methods (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (412 citations), Biomedical Engineering (731 citations), Electrical and Electronic Engineering (805 citations), Polymers and Plastics (184 citations) and Cellular and Molecular Neuroscience (231 citations). Tianda Fu has collaborated with scholars based in United States and China. Frequent co-authors include Jun Yao, Xiaomeng Liu, Hongyan Gao, Derek R. Lovley, Bing Yin, Joy E. Ward, Jianhan Chen, Xiaorong Liu, Trevor L. Woodard and Shuai Fu. Their work appears in journals such as Nature Communications, Nano Letters, Advanced Materials, Nanoscale and Nature.
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.