2026 Aidong Zhang: 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	58	3595	3494	1726	1665	435	15193

Research.com Recognitions

2017 - ACM Fellow For contributions to bioinformatics and data mining
2009 - IEEE Fellow For contributions to multimedia data indexing

Overview

Aidong Zhang is affiliated with the University of Virginia in the United States. Their research spans multiple domains, primarily focused on computer science and biochemistry, genetics, and molecular biology.

The scientist has a substantial publication record in several key academic venues, including:

arXiv (Cornell University)
bioRxiv (Cold Spring Harbor Laboratory)
Proceedings of the AAAI Conference on Artificial Intelligence
Bioinformatics
ACM Transactions on Knowledge Discovery from Data

Their research fields cover broad areas in computer science and life sciences, with a focus on:

Artificial Intelligence
Molecular Biology
Computer Vision and Pattern Recognition
Cancer Research
Cognitive Neuroscience

The main research topics that Aidong Zhang has explored include:

Gene expression and cancer classification
Domain Adaptation and Few-Shot Learning
Machine Learning and Data Classification
Cancer-related molecular mechanisms research
Privacy-Preserving Technologies in Data
Genomics and Chromatin Dynamics
Topic Modeling

Among their recent publications are:

"A Survey on Causal Inference" (2021), published in ACM Transactions on Knowledge Discovery from Data
"H. pylori infection alters repair of DNA double-strand breaks via SNHG17" (2020), published in Journal of Clinical Investigation
"Chalcone synthase (CHS) family members analysis from eggplant (Solanum melongena L.) in the flavonoid biosynthetic pathway and expression patterns in response to heat stress" (2020), published in PLoS ONE
"FedMSplit" (2022), published in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
"Learning Fair Node Representations with Graph Counterfactual Fairness" (2022), published in Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining

Frequent collaborators with whom Aidong Zhang has coauthored multiple works include:

Guangtao Zheng (26 collaborations)
Nathan C. Sheffield (15 collaborations)
Guangzhi Xiong (15 collaborations)
Mengdi Huai (13 collaborations)
Nathan J. LeRoy (12 collaborations)

Aidong Zhang has received recognition in the form of professional fellowships including:

ACM Fellow (2017) for contributions to bioinformatics and data mining
IEEE Fellow (2009) for contributions to multimedia data indexing

Best Publications

Cluster analysis for gene expression data: a survey

Daxin Jiang;Chun Tang;Aidong Zhang

1717
Citations
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases

Gholamhosein Sheikholeslami;Surojit Chatterjee;Aidong Zhang

1306
Citations
A Survey on Causal Inference

Liuyi Yao;Zhixuan Chu;Sheng Li;Yaliang Li

426
Citations
WaveCluster: a wavelet-based clustering approach for spatial data in very large databases

Gholamhosein Sheikholeslami;Surojit Chatterjee;Aidong Zhang

408
Citations
On mining cross-graph quasi-cliques

Jian Pei;Daxin Jiang;Aidong Zhang

336
Citations
Findout: finding outliers in very large datasets

Dantong Yu;Gholamhosein Sheikholeslami;Aidong Zhang

307
Citations
A Deep Learning Approach to Link Prediction in Dynamic Networks.

Xiaoyi Li;Nan Du;Hui Li;Kang Li

279
Citations
Ensuring relaxed atomicity for flexible transactions in multidatabase systems

Aidong Zhang;Marian Nodine;Bharat Bhargava;Omran Bukhres

248
Citations
A Multi-View Deep Learning Framework for EEG Seizure Detection

Ye Yuan;Guangxu Xun;Kebin Jia;Aidong Zhang

242
Citations
Interrelated two-way clustering: an unsupervised approach for gene expression data analysis

Chun Tang;Li Zhang;Aidong Zhang;M. Ramanathan

236
Citations
DHC: a density-based hierarchical clustering method for time series gene expression data

Daxin Jiang;Jian Pei;Aidong Zhang

231
Citations
Protein Interaction Networks: Computational Analysis

Aidong Zhang

217
Citations
Semantic integration to identify overlapping functional modules in protein interaction networks

Young-Rae Cho;Woochang Hwang;Murali Ramanathan;Aidong Zhang

194
Citations
Representation Learning for Treatment Effect Estimation from Observational Data

Liuyi Yao;Sheng Li;Yaliang Li;Mengdi Huai

168
Citations
mmMesh: towards 3D real-time dynamic human mesh construction using millimeter-wave

Hongfei Xue;Yan Ju;Chenglin Miao;Yijiang Wang

159
Citations
Advanced Analysis Of Gene Expression Microarray Data

Aidong Zhang

144
Citations
On handling negative transfer and imbalanced distributions in multiple source transfer learning

Liang Ge;Jing Gao;Hung Ngo;Kang Li

139
Citations
OMS-TL: a framework of online multiple source transfer learning

Liang Ge;Jing Gao;Aidong Zhang

138
Citations
SemQuery: semantic clustering and querying on heterogeneous features for visual data

G. Sheikholeslami;W. Chang;Aidong Zhang

136
Citations
Deep Patient Similarity Learning for Personalized Healthcare

Qiuling Suo;Fenglong Ma;Ye Yuan;Mengdi Huai

134
Citations
Survey: Functional Module Detection from Protein-Protein Interaction Networks

Junzhong Ji;Aidong Zhang;Chunnian Liu;Xiaomei Quan

130
Citations
Identification of Information Flow-Modulating Drug Targets: A Novel Bridging Paradigm for Drug Discovery

Hwang Wc;Zhang A;Ramanathan M

129
Citations
Risk Prediction on Electronic Health Records with Prior Medical Knowledge

Fenglong Ma;Jing Gao;Qiuling Suo;Quanzeng You

129
Citations

Frequent Co-Authors

Jing Gao Purdue University West Lafayette

Nan Du Tencent (China)

Yaliang Li Alibaba Group (China)

Lu Su Purdue University West Lafayette

Jian Pei Duke University

Daxin Jiang Microsoft (United States)

Bharat Bhargava Purdue University West Lafayette

Rohini K. Srihari University at Buffalo, State University of New York

Ahmed K. Elmagarmid Qatar Computing Research Institute

Tanveer Syeda-Mahmood IBM (United States)

External Links

Personal website of Aidong Zhang Google Scholar page

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