Qi Cui

511 citations
36 papers · 349 · h-index 12

Impact in

Papers in

Qi Cui

33 papers receiving 331 citations

Peers

Qi Cui
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 174
  • Hardware and Architecture 41
  • Media Technology 48
  • Signal Processing 28
  • Artificial Intelligence 70
Replace Vincent Hwang with:
Vincent Hwang United States
Валентина Кустикова Russia
Bilal Zahran Jordan
Suxia Cui United States
Srishti Srivastava United States
Yixing Li China
Zhuolun He Hong Kong
Teruo Fukumura Japan
Kaleel Mahmood United States
Qi Cui relative to Vincent Hwang United States Vincent Hwang's profile →
Citations per field
00.5×10×15×20.5×
Vincent Hwang · 1×
Citations per year

Countries citing papers authored by Qi Cui

Since Specialization
Citations

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

Fields of papers citing papers by Qi Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201659
2 201836
3 202329
4 201928
5 201823
6 201621
7 201918
8 202316
9 201615
10 202315
11 201915
12 202011
13 20168
14 20217
15 20205
16 20245
17 20125
18
An Approach for Compliance Validation of TPM through Applications
20084
19 20204
20 20194

About Qi Cui

Qi Cui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Information Systems and Electrical and Electronic Engineering, having authored 36 papers that have together received 349 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (11 papers), Digital Media Forensic Detection (10 papers), Generative Adversarial Networks and Image Synthesis (7 papers), Chaos-based Image/Signal Encryption (4 papers), Cryptography and Data Security (3 papers), Vehicle License Plate Recognition (3 papers), Biometric Identification and Security (3 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (174 citations), Hardware and Architecture (41 citations), Media Technology (48 citations), Signal Processing (28 citations) and Artificial Intelligence (70 citations). Qi Cui has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ruohan Meng, Zhili Zhou, Chengsheng Yuan, Xingming Sun, Min Wang, Dongping Ming, Guonian Lv, Jie Wang, Sixiang Wang and Zhangjie Fu. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), IEEE Access, IEEE Transactions on Dependable and Secure Computing, Mathematical Biosciences & Engineering and ISPRS Journal of Photogrammetry and Remote Sensing.

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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