Tianyu Wang
- Electrical and Electronic Engineering top 5%
- Biomedical Engineering top 5%
- Artificial Intelligence top 2%
- Biophysics top 0.5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Chris XuLogan G. WrightPeter L. McMahonTatsuhiro OnoderaMartin M. SteinDimitre G. OuzounovDarren T. SchachterZoey Hu
- Topics
- Advanced Memory and Neural Computing (16 papers)Neural Networks and Reservoir Computing (15 papers)Advanced Fluorescence Microscopy Techniques (14 papers)
- Journals
- NatureProceedings of the National Academy of SciencesAngewandte Chemie International Edition
- Partner nations
- United StatesChinaJapan
In The Last Decade
Tianyu Wang
62 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Electrical and Electronic Engineering 1.1k
- Biomedical Engineering 583
- Artificial Intelligence 582
- Biophysics 537
- Cellular and Molecular Neuroscience 442
Countries citing papers authored by Tianyu Wang
This map shows the geographic impact of Tianyu 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 Tianyu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianyu Wang more than expected).
Fields of papers citing papers by Tianyu Wang
This network shows the impact of papers produced by Tianyu 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 Tianyu Wang. The network helps show where Tianyu Wang may publish in the future.
Co-authorship network of co-authors of Tianyu Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Tianyu Wang. A scholar is included among the top collaborators of Tianyu Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tianyu Wang. Tianyu Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | Image sensing with multilayer nonlinear optical neural networksbreakdown → | 159 |
| 12 | Deep physical neural networks trained with backpropagationbreakdown → | 421 |
| 13 | 22 | |
| 14 | 37 | |
| 15 | 15 | |
| 16 | 16 | |
| 17 | 27 | |
| 18 | 21 | |
| 19 | 332 | |
| 20 | 1 |
About Tianyu Wang
Tianyu Wang is a scholar working on Biophysics, Acoustics and Ultrasonics and Cellular and Molecular Neuroscience, having authored 73 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (16 papers), Neural Networks and Reservoir Computing (15 papers) and Advanced Fluorescence Microscopy Techniques (14 papers). The work is most often cited by research in Biophysics (537 citations), Acoustics and Ultrasonics (65 citations) and Cellular and Molecular Neuroscience (442 citations). Tianyu Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Chris Xu, Logan G. Wright, Peter L. McMahon, Tatsuhiro Onodera, Martin M. Stein, Dimitre G. Ouzounov, Darren T. Schachter, Zoey Hu, Nicholas G. Horton and Shi-Yuan Ma. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.
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.