Tingwei Wu

799 citations
35 papers · 616 · h-index 16

Impact in

Papers in

Tingwei Wu

34 papers receiving 596 citations

Peers

Tingwei Wu
Comparison fields: 5 of 46
  • Electrical and Electronic Engineering 495
  • Computer Vision and Pattern Recognition 132
  • Atomic and Molecular Physics, and Optics 154
  • Aerospace Engineering 73
  • Artificial Intelligence 87
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
Zuochang Ye China
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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202069
2 201856
3 201945
4 201542
5 202136
6 202135
7 201935
8 202034
9 201927
10 201826
11 201526
12 201819
13 201619
14 202118
15 201818
16 202317
17 201715
18 202213
19 202213
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 35 papers that have together received 616 indexed citations. Recurring topics across this work include Optical Network Technologies (20 papers), Advanced Photonic Communication Systems (16 papers), Optical Wireless Communication Technologies (9 papers), Advanced Fiber Laser Technologies (8 papers), graph theory and CDMA systems (5 papers), Chaos-based Image/Signal Encryption (3 papers), Advanced Fiber Optic Sensors (2 papers) and Photonic and Optical Devices (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (495 citations), Computer Vision and Pattern Recognition (132 citations), Atomic and Molecular Physics, and Optics (154 citations), Aerospace Engineering (73 citations) and Artificial Intelligence (87 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, Yang Jiang, Chen Chen, Shihping Kevin Huang, Yuyao Chen and Gengxin Zhang. Their work appears in journals such as Optics Express, IEEE Access, Optics Communications, IEEE photonics journal and Optics Letters.

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.

Explore authors with similar magnitude of impact