Wei Su

6.4k citations
94 papers · 5.2k · 1 hit paper · h-index 29

Impact in

Papers in

Wei Su

93 papers receiving 4.9k citations

Wei Su's Hit Papers

Reversible data hiding 2006 · 2.1k citations
2.1k0+6+13Years since publication50010001.5k2.0k

Peers

Wei Su
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 3.6k
  • Signal Processing 548
  • Artificial Intelligence 1.5k
  • Aerospace Engineering 750
  • Media Technology 261
Replace Zhenjun Tang with:
Zhenjun Tang China
Yun-Qing Shi United States
Oscar C. Au Hong Kong
Tianyu Pang China
Chun-Shien Lu Taiwan
Teddy Furon France
Alexandr Andoni United States
Hitoshi Kiya Japan
Timothée Cour United States
W. Equitz United States
Wei Su relative to Zhenjun Tang China Zhenjun Tang's profile →
Citations per field
00.5×2×4×5.8×
Zhenjun Tang · 1×
Citations per year

Countries citing papers authored by Wei Su

Since Specialization
Citations

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

Fields of papers citing papers by Wei Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Reversible data hiding
Hit paper breakdown →
20062116
2 2010290
3 2007256
4 2002242
5 2004185
6 2008183
7 2007146
8 2010106
9 2006102
10 200892
11 200689
12 200588
13 200877
14 200677
15 200468
16 200968
17 200567
18 201056
19 201355
20 200449

About Wei Su

Wei Su is a scholar working on Signal Processing, Artificial Intelligence, Aerospace Engineering, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 94 papers that have together received 5.2k indexed citations. Recurring topics across this work include Wireless Signal Modulation Classification (49 papers), Radar Systems and Signal Processing (24 papers), Blind Source Separation Techniques (24 papers), Advanced Steganography and Watermarking Techniques (15 papers), Digital Media Forensic Detection (15 papers), Underwater Vehicles and Communication Systems (12 papers), Advanced biosensing and bioanalysis techniques (11 papers) and Fractal and DNA sequence analysis (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.6k citations), Signal Processing (548 citations), Artificial Intelligence (1.5k citations), Aerospace Engineering (750 citations) and Media Technology (261 citations). Wei Su has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Zhicheng Ni, Nirwan Ansari, Yun Q. Shi, MengChu Zhou, Jefferson L. Xu, Yeheskel Bar-Ness, Octavia A. Dobre, Dongdong Fu, Guorong Xuan and Y.Q. Shi. Their work appears in journals such as Wireless Communications and Mobile Computing, IEEE Communications Letters, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Sensors Journal and IEEE Transactions on Wireless Communications.

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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