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, Wei Wei, Minghui Qiu 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

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.

Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System

2022 111 citations Wei Wei, Xian-Ling Mao et al. profile →

Peers

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Zkfhed: A Verifiable and Scalable Blockchain-Enhanced Federated Learning System 2025 ·IEEE Transactions on Knowledge and Data Engineering ·Bingxue Zhang, (unknown), Yuncheng Wu, (unknown), Feida Zhu	1
2	PonziLens+: Visualizing Bytecode Actions for Smart Ponzi Scheme Identification 2024 ·IEEE Transactions on Visualization and Computer Graphics ·(unknown), Tai D. Nguyen, (unknown), Qiaomu Shen, Jun Sun, Feida Zhu, Yong Wang	0
3	Interoperability in Blockchain: A Survey 2023 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), (unknown), Dumitrel Loghin, (unknown), Beng Chin Ooi, Quang-Trung Ta, Feida Zhu	41
4	Heterogeneous Graph Neural Network With Multi-View Representation Learning 2022 ·IEEE Transactions on Knowledge and Data Engineering ·Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu	22
5	Protein deep profile and model predictions for identifying the causal genes of male infertility based on deep learning 2021 ·Information Fusion ·Fang Xu, (unknown), Feida Zhu, (unknown), Liqing Fan	8
6	Data Pricing and Data Asset Governance in the AI Era 2021 ·Jian Pei, Feida Zhu, (unknown), (unknown), (unknown), (unknown)	5
7	Reviving Dormant Ties in an Online Social Network Experiment 2021 ·Proceedings of the International AAAI Conference on Web and Social Media ·Ee‐Peng Lim, Denzil Correa, David Lo, (unknown), Feida Zhu	1
8	Innovative deep matching algorithm for stock portfolio selection using deep stock profiles 2020 ·PLoS ONE ·(unknown), Yulei Rao, Feida Zhu, Fang Xu	2
9	Emotion-aware Chat Machine 2019 ·Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) ·Wei Wei, Jiayi Liu, Xian-Ling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu	29
10	Maximum a Posteriori Estimation for Information Source Detection 2018 ·IEEE Transactions on Systems Man and Cybernetics Systems ·(unknown), Enhong Chen, Feida Zhu, Qi Liu, Tong Xu, Zhefeng Wang	19
11	Two birds with one stone: Classifying positive and unlabeled examples on uncertain data streams 2017 ·Neurocomputing ·Donghong Han, (unknown), (unknown), Yuying Tang, Feida Zhu, Guoren Wang	7
12	From Footprint to Evidence 2016 ·ACM Transactions on the Web ·Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu, (unknown)	23
13	TopicSketch: Real-Time Bursty Topic Detection from Twitter 2016 ·IEEE Transactions on Knowledge and Data Engineering ·Wei Xie, Feida Zhu, Jing Jiang, Ee‐Peng Lim, (unknown)	119
14	A Bayesian recommender model for user rating and review profiling 2015 ·Tsinghua Science & Technology ·Mingming Jiang, Dandan Song, Lejian Liao, Feida Zhu	11
15	Modelling cascades over time in microblogs 2015 ·Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) ·Wei Xie, Feida Zhu, Siyuan Liu, Ke Wang	4
16	Detecting click fraud in online advertising: a data mining approach 2014 ·Journal of Machine Learning Research ·Richard J. Oentaryo, Ee‐Peng Lim, (unknown), David Lo, Feida Zhu, Clifton Phua, (unknown), Ghim-Eng Yap, Kelvin Sim, Minh Nhut Nguyen, (unknown), Bijay Neupane, Mustafa Amir Faisal, Zeyar Aung, Wei Lee Woon, Wei Chen, Dhaval Patel, Daniel Berrar	45
17	Finding Bursty Topics from Microblogs 2012 ·Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) ·Qiming Diao, Jing Jiang, Feida Zhu, Ee‐Peng Lim	147
18	Detecting Anomalies in Bipartite Graphs with Mutual Dependency Principles 2012 ·(unknown), Feida Zhu, Ee‐Peng Lim, HweeHwa Pang	17
19	Feature-based Substructure Similarity Search 2009 ·Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) ·Feida Zhu, Xifeng Yan, Philip S. Yu, Jiawei Han	4
20	Searching Substructures with Superimposed Distance 2006 ·Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu	32

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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