Zaixi Zhang

1.3k total citations · 1 hit paper
16 papers, 587 citations indexed

About

Zaixi Zhang is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Zaixi Zhang has authored 16 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Zaixi Zhang's work include Privacy-Preserving Technologies in Data (5 papers), Advanced Graph Neural Networks (4 papers) and Computational Drug Discovery Methods (3 papers). Zaixi Zhang is often cited by papers focused on Privacy-Preserving Technologies in Data (5 papers), Advanced Graph Neural Networks (4 papers) and Computational Drug Discovery Methods (3 papers). Zaixi Zhang collaborates with scholars based in China, United States and Hong Kong. Zaixi Zhang's co-authors include Neil Zhenqiang Gong, Jinyuan Jia, Xiaoyu Cao, Jinyuan Jia, Binghui Wang, Chee‐Kong Lee, Chengqiang Lu, Hao Wang, Xiaoyu Cao and Qi Liu and has published in prestigious journals such as Chemical Science, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Zaixi Zhang

15 papers receiving 577 citations

Hit Papers

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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.

FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients

2022 168 citations Zaixi Zhang, Xiaoyu Cao et al. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Zaixi Zhang	505	82	81	37	35	16	587
Daniel Zügner	278 0.6×	51 0.6×	58 0.7×	32 0.9×	33 0.9×	11	373
Stephen Harris	260 0.5×	184 2.2×	179 2.2×	34 0.9×	41 1.2×	17	386
Houye Ji	510 1.0×	38 0.5×	159 2.0×	15 0.4×	112 3.2×	10	593
Shruti Tople	463 0.9×	87 1.1×	140 1.7×	99 2.7×	21 0.6×	15	522
Lior Malka	434 0.9×	52 0.6×	126 1.6×	70 1.9×	81 2.3×	8	503
Daokun Zhang	343 0.7×	46 0.6×	80 1.0×	13 0.4×	67 1.9×	5	484
Adrià Gascón	436 0.9×	60 0.7×	92 1.1×	46 1.2×	37 1.1×	36	648
Yuxiang Chen	331 0.7×	100 1.2×	295 3.6×	9 0.2×	57 1.6×	24	452
Yuanfei Dai	279 0.6×	45 0.5×	57 0.7×	20 0.5×	78 2.2×	18	412

Countries citing papers authored by Zaixi Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Zaixi Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaixi Zhang

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

All Works

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16 of 16 papers shown

Guo, Ying‐Qing, et al.. (2025). Dall-EM: Generative AI with Diffusion Models for New Design Space Discovery and Target-To-Electromagnetic Structure Synthesis. 926–929.

Zhang, Zaixi, et al.. (2024). Efficient generation of protein pockets with PocketGen. Nature Machine Intelligence. 6(11). 1382–1395. 7 indexed citations

Zhang, Odin, Yufei Huang, Xujun Zhang, et al.. (2024). FragGen: towards 3D geometry reliable fragment-based molecular generation. Chemical Science. 15(46). 19452–19465. 2 indexed citations

Huang, Zhilin, L. Yang, Zaixi Zhang, et al.. (2024). Binding-Adaptive Diffusion Models for Structure-Based Drug Design. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12671–12679. 4 indexed citations

Cao, Xiaoyu, Jinyuan Jia, Zaixi Zhang, & Neil Zhenqiang Gong. (2023). FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information. 1366–1383. 57 indexed citations

Wu, Likang, et al.. (2023). Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4854–4863. 35 indexed citations

Zhang, Zaixi, et al.. (2023). Backdoor Defense via Deconfounded Representation Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 12228–12238. 15 indexed citations

Zhang, Zaixi, Qi Liu, Chee‐Kong Lee, Chang‐Yu Hsieh, & Enhong Chen. (2023). An equivariant generative framework for molecular graph-structure Co-design. Chemical Science. 14(31). 8380–8392. 13 indexed citations

Zhang, Zaixi, et al.. (2023). Sparse Attention-Based Neural Networks for Code Classification. 169–182. 1 indexed citations

10.

Lian, Defu, et al.. (2023). Differentiable Optimized Product Quantization and Beyond. 3353–3363. 3 indexed citations

11.

Zhang, Zaixi, Qi Liu, Hao Wang, Chengqiang Lu, & Chee‐Kong Lee. (2022). ProtGNN: Towards Self-Explaining Graph Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 9127–9135. 69 indexed citations

12.

Zhang, Zaixi, et al.. (2022). FLCert: Provably Secure Federated Learning Against Poisoning Attacks. IEEE Transactions on Information Forensics and Security. 17. 3691–3705. 48 indexed citations

13.

Zhang, Zaixi, Qi Liu, Zhenya Huang, et al.. (2022). Model Inversion Attacks Against Graph Neural Networks. IEEE Transactions on Knowledge and Data Engineering. 35(9). 8729–8741. 29 indexed citations

14.

Zhang, Zaixi, Xiaoyu Cao, Jinyuan Jia, & Neil Zhenqiang Gong. (2022). FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2545–2555. 168 indexed citations breakdown →

15.

Zhang, Zaixi, Qi Liu, Zhenya Huang, et al.. (2021). GraphMI: Extracting Private Graph Data from Graph Neural Networks. 3749–3755. 34 indexed citations

16.

Zhang, Zaixi, Jinyuan Jia, Binghui Wang, & Neil Zhenqiang Gong. (2021). Backdoor Attacks to Graph Neural Networks. 15–26. 102 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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