Feida Zhu

4.9k total citations · 1 hit paper
103 papers, 2.5k citations indexed

About

Feida Zhu is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Feida Zhu has authored 103 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 48 papers in Information Systems and 33 papers in Statistical and Nonlinear Physics. Recurrent topics in Feida Zhu's work include Complex Network Analysis Techniques (33 papers), Advanced Graph Neural Networks (18 papers) and Spam and Phishing Detection (14 papers). Feida Zhu is often cited by papers focused on Complex Network Analysis Techniques (33 papers), Advanced Graph Neural Networks (18 papers) and Spam and Phishing Detection (14 papers). Feida Zhu collaborates with scholars based in Singapore, China and United States. Feida Zhu's co-authors include Ee‐Peng Lim, Jing Jiang, Jiawei Han, Xifeng Yan, Philip S. Yu, Siyuan Liu, Wei Xie, Minghui Qiu, Wei Wei and Shuhui Wang and has published in prestigious journals such as PLoS ONE, Information Sciences and Neurocomputing.

In The Last Decade

Feida Zhu

97 papers receiving 2.4k citations

Hit Papers

Multi-level Cross-view Co... 2022 2026 2023 2024 2022 25 50 75 100
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.

  1. Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System
    2022 111 citations Wei Wei, Feida Zhu et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Feida Zhu 1.5k 1.1k 731 417 405 103 2.5k
Gerd Stumme 2.2k 1.5× 2.1k 2.0× 497 0.7× 379 0.9× 565 1.4× 135 3.8k
Qi He 1.9k 1.3× 1.7k 1.6× 1.3k 1.8× 306 0.7× 465 1.1× 64 3.6k
Panayiotis Tsaparas 1.3k 0.9× 932 0.8× 696 1.0× 399 1.0× 299 0.7× 63 2.5k
Panagiotis Symeonidis 853 0.6× 1.1k 1.0× 376 0.5× 344 0.8× 212 0.5× 68 1.8k
Ju Fan 924 0.6× 454 0.4× 583 0.8× 154 0.4× 329 0.8× 85 1.9k
Sreenivas Gollapudi 748 0.5× 811 0.7× 307 0.4× 354 0.8× 433 1.1× 76 1.9k
Leman Akoglu 2.5k 1.7× 1.2k 1.0× 1.1k 1.5× 354 0.8× 1.2k 2.9× 90 3.7k
Neil Zhenqiang Gong 2.4k 1.6× 993 0.9× 356 0.5× 320 0.8× 691 1.7× 93 3.2k
Glen Jeh 1.3k 0.9× 902 0.8× 1.0k 1.4× 404 1.0× 427 1.1× 7 2.3k
Craig Macdonald 2.6k 1.7× 2.8k 2.5× 363 0.5× 710 1.7× 510 1.3× 239 4.4k

Countries citing papers authored by Feida Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Feida Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feida Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Feida Zhu. A scholar is included among the top collaborators of Feida 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 Feida Zhu. Feida 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.
Zhang, Bingxue, et al.. (2025). Zkfhed: A Verifiable and Scalable Blockchain-Enhanced Federated Learning System. IEEE Transactions on Knowledge and Data Engineering. 37(6). 3841–3854. 1 indexed citations
2.
Nguyen, Tai D., et al.. (2024). PonziLens+: Visualizing Bytecode Actions for Smart Ponzi Scheme Identification. IEEE Transactions on Visualization and Computer Graphics. 31(9). 6451–6465.
3.
Zhu, Feida, et al.. (2024). A Security Analysis of a Deterministic Key Generation Scheme. 309–314. 1 indexed citations
4.
Zhu, Feida, et al.. (2024). Early Detection of Malicious Crypto Addresses With Asset Path Tracing and Selection. IEEE Transactions on Knowledge and Data Engineering. 37(3). 1154–1166. 1 indexed citations
5.
Zhang, Huichao, Bowen Chen, Yang Hao, et al.. (2024). AvatarVerse: High-Quality & Stable 3D Avatar Creation from Text and Pose. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 7124–7132. 18 indexed citations
6.
Loghin, Dumitrel, et al.. (2023). Interoperability in Blockchain: A Survey. IEEE Transactions on Knowledge and Data Engineering. 35(12). 12750–12769. 41 indexed citations
7.
Shao, Zezhi, Yongjun Xu, Wei Wei, et al.. (2022). Heterogeneous Graph Neural Network With Multi-View Representation Learning. IEEE Transactions on Knowledge and Data Engineering. 35(11). 11476–11488. 22 indexed citations
8.
Minn, Sein, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, & Feida Zhu. (2022). Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. Proceedings of the AAAI Conference on Artificial Intelligence. 36(11). 12810–12818. 21 indexed citations
9.
Xu, Fang, et al.. (2021). Protein deep profile and model predictions for identifying the causal genes of male infertility based on deep learning. Information Fusion. 75. 70–89. 8 indexed citations
10.
Pei, Jian, et al.. (2021). Data Pricing and Data Asset Governance in the AI Era. 4058–4059. 5 indexed citations
11.
Lim, Ee‐Peng, et al.. (2021). Reviving Dormant Ties in an Online Social Network Experiment. Proceedings of the International AAAI Conference on Web and Social Media. 7(1). 361–369. 1 indexed citations
12.
Rao, Yulei, et al.. (2020). Innovative deep matching algorithm for stock portfolio selection using deep stock profiles. PLoS ONE. 15(11). e0241573–e0241573. 2 indexed citations
13.
Chen, Enhong, et al.. (2018). Maximum a Posteriori Estimation for Information Source Detection. IEEE Transactions on Systems Man and Cybernetics Systems. 50(6). 2242–2256. 19 indexed citations
14.
Xie, Wei, et al.. (2016). TopicSketch: Real-Time Bursty Topic Detection from Twitter. IEEE Transactions on Knowledge and Data Engineering. 28(8). 2216–2229. 119 indexed citations
15.
Xie, Wei, Feida Zhu, Siyuan Liu, & Ke Wang. (2015). Modelling cascades over time in microblogs. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 618. 677–686. 4 indexed citations
16.
Oentaryo, Richard J., Ee‐Peng Lim, David Lo, et al.. (2014). Detecting click fraud in online advertising: a data mining approach. Journal of Machine Learning Research. 15(1). 99–140. 45 indexed citations
17.
Diao, Qiming, Jing Jiang, Feida Zhu, & Ee‐Peng Lim. (2012). Finding Bursty Topics from Microblogs. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 536–544. 147 indexed citations
18.
Zhu, Feida, et al.. (2012). Detecting Anomalies in Bipartite Graphs with Mutual Dependency Principles. 171–180. 17 indexed citations
19.
Zhu, Feida, Xifeng Yan, Philip S. Yu, & Jiawei Han. (2009). Feature-based Substructure Similarity Search. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 69. 4 indexed citations
20.
Yan, Xifeng, Feida Zhu, Jiawei Han, & Philip S. Yu. (2006). Searching Substructures with Superimposed Distance. 88–88. 32 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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