Tingwei Wu

783 citations
34 papers · 597 · h-index 16

Impact in

Papers in

Tingwei Wu

33 papers receiving 577 citations

Peers

Tingwei Wu
Comparison fields: 5 of 45
  • Electrical and Electronic Engineering 481
  • Computer Vision and Pattern Recognition 130
  • Atomic and Molecular Physics, and Optics 152
  • Aerospace Engineering 72
  • Artificial Intelligence 84
Replace Shuaidong Chen with:
Shuaidong Chen China
Xiangyu Wu China
Xuefang Zhou China
Huan Huang China
Xiumin Song China
Sam Dolinar United States
Xiaojian Tian China
Masataka Nakazawa Japan
Milorad Cvijetić United States
Tingwei Wu relative to Shuaidong Chen China Shuaidong Chen's profile →
Citations per field
00.5×10×20×27.5×
Shuaidong Chen · 1×
Citations per year

Countries citing papers authored by Tingwei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tingwei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tingwei Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tingwei Wu Line = papers co-authored together Tingwei Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202066
2 201855
3 201945
4 201541
5 202136
6 201935
7 202034
8 202133
9 201927
10 201826
11 201526
12 201819
13 201619
14 202118
15 201817
16 202315
17 201714
18 202211
19 202211
20 20159

About Tingwei Wu

Tingwei Wu is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence, having authored 34 papers that have together received 597 indexed citations. Recurring topics across this work include Optical Network Technologies (19 papers), Advanced Photonic Communication Systems (16 papers), Advanced Fiber Laser Technologies (8 papers), Optical Wireless Communication Technologies (8 papers), graph theory and CDMA systems (5 papers), Chaos-based Image/Signal Encryption (3 papers), Advanced Fiber Optic Sensors (2 papers) and Coding theory and cryptography (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (481 citations), Computer Vision and Pattern Recognition (130 citations), Atomic and Molecular Physics, and Optics (152 citations), Aerospace Engineering (72 citations) and Artificial Intelligence (84 citations). Tingwei Wu has collaborated with scholars based in China, Taiwan and Singapore. Frequent co-authors include Chongfu Zhang, Kun Qiu, Huan Huang, Heping Wen, Kun Qiu, Chen Chen, Yang Jiang, Gengxin Zhang, Zhenrong Jia and Yuhang Chen. Their work appears in journals such as Optics Express, IEEE Access, IEEE photonics journal, Optics Communications and Journal of Lightwave Technology.

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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