Hangyu Zhu

1.4k total citations · 1 hit paper
13 papers, 806 citations indexed

About

Hangyu Zhu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Hangyu Zhu has authored 13 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Science Applications. Recurrent topics in Hangyu Zhu's work include Privacy-Preserving Technologies in Data (7 papers), Cryptography and Data Security (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Hangyu Zhu is often cited by papers focused on Privacy-Preserving Technologies in Data (7 papers), Cryptography and Data Security (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Hangyu Zhu collaborates with scholars based in China, United Kingdom and Netherlands. Hangyu Zhu's co-authors include Yaochu Jin, Shiqing Liu, Jinjin Xu, Haoyu Zhang, Kaitai Liang, Jianting Ning, Xilu Wang, Chen Chen, Wei Chen and Jiahao Fan and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, Neurocomputing and Pattern Recognition Letters.

In The Last Decade

Hangyu Zhu

11 papers receiving 790 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Federated learning on non-IID data: A survey

2021 543 citations Hangyu Zhu, Jinjin Xu et al. Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hangyu Zhu China	7	682	119	107	92	88	13	806
Chaoyang He United States	11	516 0.8×	106 0.9×	110 1.0×	61 0.7×	64 0.7×	22	711
Yoshinori Aono Japan	7	1.2k 1.7×	92 0.8×	123 1.1×	91 1.0×	120 1.4×	11	1.3k
Zuobin Xiong United States	10	395 0.6×	120 1.0×	137 1.3×	47 0.5×	71 0.8×	21	599
Le Trieu Phong Japan	10	1.3k 2.0×	119 1.0×	151 1.4×	97 1.1×	134 1.5×	25	1.5k
Ka-Ho Chow United States	12	502 0.7×	65 0.5×	115 1.1×	50 0.5×	81 0.9×	39	699
Hakima Ould‐Slimane Canada	9	526 0.8×	214 1.8×	42 0.4×	70 0.8×	142 1.6×	32	709
Sawsan AbdulRahman Lebanon	4	619 0.9×	218 1.8×	35 0.3×	112 1.2×	155 1.8×	7	761
Gaoyang Liu China	15	417 0.6×	137 1.2×	102 1.0×	30 0.3×	96 1.1×	40	677
Jed Mills United Kingdom	7	489 0.7×	224 1.9×	39 0.4×	97 1.1×	157 1.8×	8	650
Jie Wen China	10	364 0.5×	133 1.1×	47 0.4×	27 0.3×	59 0.7×	28	557

Countries citing papers authored by Hangyu Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Hangyu Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hangyu Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Hangyu Zhu. A scholar is included among the top collaborators of Hangyu 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 Hangyu Zhu. Hangyu Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Zhao, Bin, et al.. (2025). Application of domain-adaptive network with data augmentation in lithology identification of buried hill igneous rocks. Geoenergy Science and Engineering. 251. 213848–213848. 1 indexed citations

2.

Zhu, Hangyu, et al.. (2025). Privacy attack in federated learning is not easy: an experimental study. Complex & Intelligent Systems. 11(9).

3.

Zhu, Hangyu & Xilu Wang. (2025). Multi-Objective Batch Energy-Entropy Acquisition Function for Bayesian Optimization. Mathematics. 13(17). 2894–2894.

4.

Sun, Libo, et al.. (2024). SP-Det: Anchor-based lane detection network with structural prior perception. Pattern Recognition Letters. 188. 60–66. 2 indexed citations

5.

Zhu, Hangyu, et al.. (2024). GGI: Generative Gradient Inversion Attack in Federated Learning. 379–384. 2 indexed citations

6.

Zeng, Zheng, Hangyu Zhu, Long Meng, et al.. (2023). A Robust Gaze Estimation Approach via Exploring Relevant Electrooculogram Features and Optimal Electrodes Placements. IEEE Journal of Translational Engineering in Health and Medicine. 12. 56–65. 7 indexed citations

7.

Zhu, Hangyu, Xilu Wang, & Yaochu Jin. (2023). Federated Many-Task Bayesian Optimization. IEEE Transactions on Evolutionary Computation. 28(4). 980–993. 10 indexed citations

8.

Zhu, Hangyu, Jinjin Xu, Shiqing Liu, & Yaochu Jin. (2021). Federated learning on non-IID data: A survey. Neurocomputing. 465. 371–390. 543 indexed citations breakdown →

9.

Zhu, Hangyu & Yaochu Jin. (2021). Real-Time Federated Evolutionary Neural Architecture Search. IEEE Transactions on Evolutionary Computation. 26(2). 364–378. 54 indexed citations

10.

Zhu, Hangyu, et al.. (2021). Distributed additive encryption and quantization for privacy preserving federated deep learning. Neurocomputing. 463. 309–327. 44 indexed citations

11.

Zhu, Hangyu, et al.. (2021). PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels. IEEE Transactions on Artificial Intelligence. 4(5). 988–1001. 20 indexed citations

12.

Zhu, Hangyu, Haoyu Zhang, & Yaochu Jin. (2021). From federated learning to federated neural architecture search: a survey. Complex & Intelligent Systems. 7(2). 639–657. 117 indexed citations

13.

Chen, Chen, et al.. (2019). Neural Networks for Pathological Gait Classification Using Wearable Motion Sensors. 1–4. 6 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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