2026 Xingquan Zhu: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	66	2299	2230	1148	1107	338	19877

Overview

Xingquan Zhu is affiliated with Florida Atlantic University in the United States and has a research portfolio primarily within the field of Computer Science, contributing extensively to Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing, and Parasitology.

Their research interests cover a variety of topics, including:

Advanced Graph Neural Networks
Data Mining Algorithms and Applications
Domain Adaptation and Few-Shot Learning
Complex Network Analysis Techniques
Anomaly Detection Techniques and Applications
Text and Document Classification Technologies
Time Series Analysis and Forecasting

Xingquan Zhu's recent papers illustrate a focus on deep learning methods, data augmentation, and security frameworks across multiple application domains. Notable recent publications include:

"Dropout vs. batch normalization: an empirical study of their impact to deep learning" (2020), published in Multimedia Tools and Applications
"Deep Learning for User Interest and Response Prediction in Online Display Advertising" (2020), published in Data Science and Engineering
"A survey and taxonomy of adversarial neural networks for text-to-image synthesis" (2020), published in Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
"IoT Network Security: Threats, Risks, and a Data-Driven Defense Framework" (2020), published in IoT
"Deep learning data augmentation for Raman spectroscopy cancer tissue classification" (2021), published in Scientific Reports

The scientist frequently collaborates with peers including Xindong Wu, Youxi Wu, Yufei Tang, Yan Li, and Min Shi. These co-authors have worked alongside Zhu on numerous projects, reflecting ongoing research partnerships.

Publication venues where Zhu has contributed consistently include:

arXiv (Cornell University)
ACM Transactions on Knowledge Discovery from Data
IEEE Transactions on Knowledge and Data Engineering
Parasites & Vectors
Research Square (Research Square)

Xingquan Zhu has also authored a book titled Computational Data and Social Networks, published by Springer Science+Business Media in 2024. This work contributes to their academic output alongside peer-reviewed articles.

Best Publications

Data mining with big data

Xindong Wu;Xingquan Zhu;Gong-Qing Wu;Wei Ding

3684
Citations
Class noise vs. attribute noise: a quantitative study of their impacts

Xingquan Zhu;Xindong Wu

1170
Citations
Network Representation Learning: A Survey

Daokun Zhang;Jie Yin;Xingquan Zhu;Chengqi Zhang

762
Citations
Dropout vs. batch normalization: an empirical study of their impact to deep learning

Christian Garbin;Xingquan Zhu;Oge Marques

539
Citations
Machine Learning for Android Malware Detection Using Permission and API Calls

Naser Peiravian;Xingquan Zhu

460
Citations
Tri-party deep network representation

Shirui Pan;Jia Wu;Xingquan Zhu;Chengqi Zhang

424
Citations
MGAE: Marginalized Graph Autoencoder for Graph Clustering

Chun Wang;Shirui Pan;Guodong Long;Xingquan Zhu

413
Citations
A survey on instance selection for active learning

Yifan Fu;Xingquan Zhu;Bin Li

413
Citations
A unified framework for semantics and feature based relevance feedback in image retrieval systems

Ye Lu;Chunhui Hu;Xingquan Zhu;HongJiang Zhang

366
Citations
Online Feature Selection with Streaming Features

Xindong Wu;Kui Yu;Wei Ding;Hao Wang

332
Citations
Eliminating class noise in large datasets

Xingquan Zhu;Xindong Wu;Qijun Chen

331
Citations
Relevance maximizing, iteration minimizing, relevance-feedback, content-based image retrieval (CBIR)

Hong-Jiang Zhang;Zhong Su;Xingquan Zhu

244
Citations
Knowledge Discovery and Data Mining: Challenges and Realities

Xingquan Zhu;Ian Davidson

217
Citations
ClassView: hierarchical video shot classification, indexing, and accessing

Jianping Fan;A.K. Elmagarmid;Xingquan Zhu;W.G. Aref

193
Citations
Video data mining: semantic indexing and event detection from the association perspective

Xingquan Zhu;Xindong Wu;A.K. Elmagarmid;Zhe Feng

180
Citations
Hashing Techniques: A Survey and Taxonomy

Lianhua Chi;Xingquan Zhu

174
Citations
Active Learning From Stream Data Using Optimal Weight Classifier Ensemble

Xingquan Zhu;Peng Zhang;Xiaodong Lin;Yong Shi

169
Citations
Combining proactive and reactive predictions for data streams

Ying Yang;Xindong Wu;Xingquan Zhu

164
Citations
Bag Constrained Structure Pattern Mining for Multi-Graph Classification

Jia Wu;Xingquan Zhu;Chengqi Zhang;Philip S. Yu

158
Citations
Mining With Noise Knowledge: Error-Aware Data Mining

Xindong Wu;Xingquan Zhu

144
Citations
Unsupervised Domain Adaptive Graph Convolutional Networks

Man Wu;Shirui Pan;Chuan Zhou;Xiaojun Chang

104
Citations

Frequent Co-Authors

Xindong Wu Hefei University of Technology

Chengqi Zhang Hong Kong Polytechnic University

Shirui Pan Griffith University

Jia Wu Macquarie University

Jianping Fan University of North Carolina at Charlotte

Peng Zhang Huazhong University of Science and Technology

Ahmed K. Elmagarmid Qatar Computing Research Institute

Yong Shi Chinese Academy of Sciences

Xiangyang Xue Fudan University

Walid G. Aref Purdue University West Lafayette

External Links

Personal website of Xingquan Zhu Google Scholar page

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