Tianyu Wang

3.7k total citations · 3 hit papers
101 papers, 2.9k citations indexed

About

Tianyu Wang is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Materials Chemistry. According to data from OpenAlex, Tianyu Wang has authored 101 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Electrical and Electronic Engineering, 31 papers in Cellular and Molecular Neuroscience and 27 papers in Materials Chemistry. Recurrent topics in Tianyu Wang's work include Advanced Memory and Neural Computing (66 papers), Ferroelectric and Negative Capacitance Devices (39 papers) and Photoreceptor and optogenetics research (24 papers). Tianyu Wang is often cited by papers focused on Advanced Memory and Neural Computing (66 papers), Ferroelectric and Negative Capacitance Devices (39 papers) and Photoreceptor and optogenetics research (24 papers). Tianyu Wang collaborates with scholars based in China, United States and United Kingdom. Tianyu Wang's co-authors include Lin Chen, Hao Zhu, Qingqing Sun, David Wei Zhang, Jialin Meng, Peng Zhou, Shi‐Jin Ding, Ji Li, Jialin Meng and Wenzhong Bao and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Tianyu Wang

95 papers receiving 2.8k citations

Hit Papers

Integrated In-Sensor Computing Optoelectronic Device for ... 2021 2026 2022 2024 2021 2022 2024 50 100 150 200

Peers

Tianyu Wang
Comparison fields: 5 of 71
  • Electrical and Electronic Engineering 2.6k
  • Cellular and Molecular Neuroscience 903
  • Materials Chemistry 595
  • Polymers and Plastics 524
  • Artificial Intelligence 379
Replace Bobo Tian with:
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Bobo Tian China View profile →
Citations per field, relative to Tianyu Wang
Tianyu Wang · 1×
Citations per year, relative to Tianyu Wang
Tianyu Wang · 1×

Countries citing papers authored by Tianyu Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# Work Indexed citations
1 9
2 1
3 6
4 2
5 24
6 19
7 18
8 56
9 11
10 17
11 30
12 11
13 84
14 8
15 110
16 40
17 177
18 45
19 50
20 12

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.

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