Wenying Tang

754 total citations · 1 hit paper
11 papers, 449 citations indexed

About

Wenying Tang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Wenying Tang has authored 11 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 4 papers in Biomedical Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Wenying Tang's work include Gas Sensing Nanomaterials and Sensors (3 papers), Advanced Chemical Sensor Technologies (3 papers) and Quantum Dots Synthesis And Properties (2 papers). Wenying Tang is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (3 papers), Advanced Chemical Sensor Technologies (3 papers) and Quantum Dots Synthesis And Properties (2 papers). Wenying Tang collaborates with scholars based in China, Hong Kong and United States. Wenying Tang's co-authors include Zhiyong Fan, Chen Wang, Zhilong Song, Zhesi Chen, Zhu’an Wan, Wenhao Ye, Chak Lam Jonathan Chan, Zhuo Chen, Swapnadeep Poddar and Mutian Li and has published in prestigious journals such as Nature Communications, ACS Nano and Advanced Functional Materials.

In The Last Decade

Wenying Tang

9 papers receiving 438 citations

Hit Papers

A neuromorphic bionic eye with filter-free color vision u... 2023 2026 2024 2025 2023 40 80 120

Peers

Wenying Tang
Comparison fields: 5 of 61
  • Electrical and Electronic Engineering 349
  • Biomedical Engineering 220
  • Bioengineering 132
  • Materials Chemistry 109
  • Polymers and Plastics 59
Replace Zhu’an Wan with:
Zhu’an Wan Hong Kong
Chung-Chiun Liu United States
Marco Roberto Cavallari Brazil
S. Pantalei Italy
Xiaoyi Mu United States
Feng Shao China
Qing Xia China
Christos Sapsanis Saudi Arabia
Zhesi Chen Hong Kong
Jianbin Pan China
Zhu’an Wan Hong Kong View profile →
Citations per field, relative to Wenying Tang
Wenying Tang · 1×
Citations per year, relative to Wenying Tang
Wenying Tang · 1×

Countries citing papers authored by Wenying Tang

Since Specialization
Citations

This map shows the geographic impact of Wenying Tang'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 Wenying Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenying Tang more than expected).

Fields of papers citing papers by Wenying Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wenying Tang. 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 Wenying Tang. The network helps show where Wenying Tang may publish in the future.

Co-authorship network of co-authors of Wenying Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Wenying Tang. A scholar is included among the top collaborators of Wenying Tang 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 Wenying Tang. Wenying Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 0
2 0
3 46
4
A neuromorphic bionic eye with filter-free color vision using hemispherical perovskite nanowire array retina breakdown →
123
5 7
6 1
7 31
8 96
9 138
10 6
11 1

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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