Ben Wu

1.1k citations
59 papers · 779 · h-index 16

Impact in

Papers in

Ben Wu

55 papers receiving 758 citations

Peers

Ben Wu
Comparison fields: 5 of 60
  • Acoustics and Ultrasonics 12
  • Electrical and Electronic Engineering 639
  • Artificial Intelligence 380
  • Computer Vision and Pattern Recognition 111
  • Computer Science Applications 21
Replace Mamoru Endo with:
Mamoru Endo Japan
Evangelos Pikasis Greece
Xiaozhou Li China
Bingjie Xu China
Ichi Takumi Japan
Yuan Du China
Ahmad Beirami United States
Tao Deng China
S. Paquet Canada
Ben Wu relative to Mamoru Endo Japan Mamoru Endo's profile →
Citations per field
00.5×3.2×
Mamoru Endo · 1×
Citations per year

Countries citing papers authored by Ben Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ben Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ben 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 Ben Wu Line = papers co-authored together Ben Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016140
2 201385
3 201548
4 202041
5 201537
6 200736
7 201434
8 201328
9 201526
10 201423
11 201320
12 201419
13 201518
14 201418
15 202118
16 201818
17 202312
18 201311
19 201311
20 202410

About Ben Wu

Ben Wu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Signal Processing, having authored 59 papers that have together received 779 indexed citations. Recurring topics across this work include Optical Network Technologies (32 papers), Advanced Photonic Communication Systems (19 papers), Neural Networks and Reservoir Computing (14 papers), Photonic and Optical Devices (10 papers), graph theory and CDMA systems (9 papers), Chaos-based Image/Signal Encryption (7 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Advanced Memory and Neural Computing (5 papers). The work is most often cited by research in Acoustics and Ultrasonics (12 citations), Electrical and Electronic Engineering (639 citations), Artificial Intelligence (380 citations), Computer Vision and Pattern Recognition (111 citations) and Computer Science Applications (21 citations). Ben Wu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Paul R. Prucnal, Bhavin J. Shastri, Alexander N. Tait, Mitchell A. Nahmias, Matthew P. Chang, Alejandro W. Rodríguez, Yue Tian, Zhenxing Wang, Mable P. Fok and Zhenxing Wang. Their work appears in journals such as IEEE Photonics Technology Letters, Optics Express, Journal of Lightwave Technology, Optics Letters and Journal of the Optical Society of America B.

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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