Zhenyu Guan

2.6k citations
98 papers · 1.6k indexed · h-index 18

Impact in

Papers in

Zhenyu Guan

82 papers receiving 1.6k citations

Peers

Zhenyu Guan
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 804
  • Signal Processing 362
  • Information Systems 438
  • Artificial Intelligence 424
  • Hardware and Architecture 74
Replace Jizhong Han with:
Jizhong Han China
Xianghua Xu China
Yingjie Xia China
Jianping Fan China
Jana Dittmann Germany
Jian Yin China
Fangxin Wang China
Hongyu Liu China
Nabendu Chaki India
Zhenyu Guan relative to Jizhong Han China Jizhong Han's profile →
Citations per field
00.5×1.6×
Jizhong Han · 1×
Citations per year

Countries citing papers authored by Zhenyu Guan

Since Specialization
Citations

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

Fields of papers citing papers by Zhenyu Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20250
5 20251
6 20251
7 20246
8 20240
9 20242
10 202325
11 20232
12 202331
13 20239
14 202350
15 20227
16 202213
17 202079
18 2019177
19 201914
20 201814

About Zhenyu Guan

Zhenyu Guan is a scholar working on Hardware and Architecture, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 98 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cryptography and Data Security (24 papers), Blockchain Technology Applications and Security (21 papers), Privacy-Preserving Technologies in Data (18 papers), Physical Unclonable Functions (PUFs) and Hardware Security (16 papers), Cloud Data Security Solutions (7 papers), IoT and Edge/Fog Computing (6 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Adversarial Robustness in Machine Learning (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (804 citations), Signal Processing (362 citations), Information Systems (438 citations), Artificial Intelligence (424 citations) and Hardware and Architecture (74 citations). Zhenyu Guan has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Mai Xu, Zulin Wang, Ren Yang, Qianhong Wu, Xin Deng, Tie Liu, Jianwei Liu, Dawei Li, Tianyi Li and Zheng Qin. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, IEEE Access, IEEE Internet of Things Journal, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Network.

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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