Hegui Zhu

1.7k total citations
58 papers, 1.2k citations indexed

About

Hegui Zhu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Hegui Zhu has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Hegui Zhu's work include Chaos-based Image/Signal Encryption (13 papers), Advanced Neural Network Applications (13 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Hegui Zhu is often cited by papers focused on Chaos-based Image/Signal Encryption (13 papers), Advanced Neural Network Applications (13 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Hegui Zhu collaborates with scholars based in China, United States and Canada. Hegui Zhu's co-authors include Xiangde Zhang, Yiran Zhao, Lianping Yang, Wanli Xie, Wen-Ze Wu, Cheng Zhao, Chong Liu, Zhiliang Zhu, Hai Yu and Jinhai Liu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Hegui Zhu

52 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hegui Zhu China 18 752 396 178 172 146 58 1.2k
Ahmet Bedri Özer Türkiye 12 630 0.8× 690 1.7× 119 0.7× 293 1.7× 25 0.2× 37 1.2k
Xuncai Zhang China 22 634 0.8× 364 0.9× 162 0.9× 301 1.8× 23 0.2× 99 1.3k
Lorenzo Livi Italy 20 305 0.4× 813 2.1× 197 1.1× 266 1.5× 103 0.7× 70 1.4k
Guoji Zhang China 19 593 0.8× 443 1.1× 66 0.4× 185 1.1× 13 0.1× 52 1.1k
Fanhua Shang China 26 1.2k 1.6× 741 1.9× 83 0.5× 93 0.5× 23 0.2× 99 2.1k
Xiaoye Jiang United States 9 415 0.6× 273 0.7× 34 0.2× 68 0.4× 50 0.3× 23 813
Xiaoqiang Di China 19 480 0.6× 296 0.7× 98 0.6× 80 0.5× 13 0.1× 103 1.1k
Mohammad Hossein Moattar Iran 17 507 0.7× 536 1.4× 36 0.2× 162 0.9× 20 0.1× 70 1.2k
Rodolphe Jenatton France 14 418 0.6× 353 0.9× 61 0.3× 64 0.4× 56 0.4× 19 1.1k
Don Hush United States 17 237 0.3× 573 1.4× 68 0.4× 59 0.3× 29 0.2× 44 963

Countries citing papers authored by Hegui Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Hegui Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hegui Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Hegui Zhu. A scholar is included among the top collaborators of Hegui Zhu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hegui Zhu. Hegui Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhu, Hegui, et al.. (2025). Improving transferability of adversarial examples via statistical attribution-based attacks. Neural Networks. 187. 107341–107341. 1 indexed citations
2.
Zhu, Hegui, et al.. (2024). Quantum image encryption algorithm via optimized quantum circuit and parity bit-plane permutation. Journal of Information Security and Applications. 81. 103698–103698. 21 indexed citations
3.
Liu, Chong, Wen-Ze Wu, Wanli Xie, Sheng Shi, & Hegui Zhu. (2024). An innovative prediction algorithm based on grey modeling theory and the marine predators algorithm for short-term carbon dioxide emissions in China. Engineering Applications of Artificial Intelligence. 137. 109066–109066. 7 indexed citations
4.
Ren, Yuchen, Hegui Zhu, Chong Liu, & Chengqing Li. (2024). Efficient polar coordinates attack with adaptive activation strategy. Expert Systems with Applications. 249. 123850–123850.
5.
Zhu, Hegui, et al.. (2023). A non-degenerate chaotic bits XOR system with application in image encryption. Mathematics and Computers in Simulation. 219. 231–250. 8 indexed citations
6.
Zhu, Hegui, et al.. (2023). Boosting the transferability of adversarial attacks with adaptive points selecting in temporal neighborhood. Information Sciences. 641. 119081–119081. 8 indexed citations
7.
Zhu, Hegui, et al.. (2023). Frequency-based methods for improving the imperceptibility and transferability of adversarial examples. Applied Soft Computing. 150. 111088–111088. 8 indexed citations
8.
Zhu, Hegui, et al.. (2023). Boosting transferability of targeted adversarial examples with non-robust feature alignment. Expert Systems with Applications. 227. 120248–120248. 6 indexed citations
9.
Zhu, Hegui, Chong Liu, Wen-Ze Wu, & Wanli Xie. (2023). A novel conformable fractional nonlinear grey multivariable prediction model with marine predator algorithm for time series prediction. Computers & Industrial Engineering. 180. 109278–109278. 17 indexed citations
10.
Zhu, Hegui, et al.. (2023). Few-shot semantic segmentation via multi-level feature extraction and multi-prototype localization. Multimedia Tools and Applications. 83(17). 50921–50953.
11.
Ren, Yuchen, et al.. (2023). Crafting transferable adversarial examples via contaminating the salient feature variance. Information Sciences. 644. 119273–119273. 11 indexed citations
12.
Zhu, Hegui, et al.. (2023). Boosting Adversarial Transferability via Gradient Relevance Attack. 4718–4727. 19 indexed citations
13.
Yang, Lianping, et al.. (2023). DANet: dual association network for human pose estimation in video. Multimedia Tools and Applications. 83(13). 40253–40267.
14.
Zhu, Hegui, et al.. (2019). 2D Logistic-Modulated-Sine-Coupling-Logistic Chaotic Map for Image Encryption. IEEE Access. 7. 14081–14098. 165 indexed citations
15.
Zhu, Hegui, Xiangde Zhang, Hai Yu, Cheng Zhao, & Zhiliang Zhu. (2017). An image encryption algorithm based on compound homogeneous hyper-chaotic system. Nonlinear Dynamics. 89(1). 61–79. 82 indexed citations
16.
Yang, Lianping, Xiangde Zhang, Tianming Wang, & Hegui Zhu. (2013). Large Local Analysis of the Unaligned Genome and Its Application. Journal of Computational Biology. 20(1). 19–29. 14 indexed citations
17.
Yang, Lianping, Xiangde Zhang, & Hegui Zhu. (2013). Alignment free comparison: k word voting model and its applications. Journal of Theoretical Biology. 335. 276–282. 4 indexed citations
18.
Zhu, Hegui, et al.. (2012). A new chaos-based image encryption scheme using quadratic residue. 22. 1800–1804. 4 indexed citations
19.
Yang, Lianping, Xiangde Zhang, & Hegui Zhu. (2011). Alignment free comparison: Similarity distribution between the DNA primary sequences based on the shortest absent word. Journal of Theoretical Biology. 295. 125–131. 12 indexed citations
20.
Zhu, Hegui, Xiangde Zhang, & Lianping Yang. (2009). Weierstrass Function-based Uniform Random Number Generator. 106. 343–347. 1 indexed citations

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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