2026 Haixun Wang: 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	78	1212	1171	643	617	301	22555

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

1212

1171

643

617

301

22555

Overview

Haixun Wang is a researcher affiliated with Instacart in the United States, with a focus in computer science. Their scholarly work spans several subfields including artificial intelligence, information systems, pulmonary and respiratory medicine, sociology and political science, and computer vision and pattern recognition.

Their research topics cover a range of areas including:

Web Data Mining and Analysis
Semantic Web and Ontologies
Natural Language Processing Techniques
Recommender Systems and Techniques
Adversarial Robustness in Machine Learning
Topic Modeling
Occupational and Environmental Lung Diseases

Haixun Wang has contributed to multiple publication venues, with frequent appearances in:

arXiv (Cornell University)
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
ACM SIGIR Forum
Proceedings of the VLDB Endowment
2022 IEEE International Conference on Big Data (Big Data)

Their recent papers include:

"Adversarial Robustness through Bias Variance Decomposition," 2022, Proceedings of the 31st ACM International Conference on Information & Knowledge Management
"From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems," 2021, arXiv (Cornell University)
"Rethinking E-Commerce Search," 2023, ACM SIGIR Forum
"Will LLMs Reshape, Supercharge, or Kill Data Science? (VLDB 2023 Panel)," 2023, Proceedings of the VLDB Endowment
"Tensor-based Complementary Product Recommendation," 2021, 2021 IEEE International Conference on Big Data (Big Data)

Frequent collaborators in Haixun Wang's research include Taesik Na, Yao Zhou, Jingrui He, Jun Wu, and Shupeng Liu.

Best Publications

Mining concept-drifting data streams using ensemble classifiers

Haixun Wang;Wei Fan;Philip S. Yu;Jiawei Han

1935
Citations
Probase: a probabilistic taxonomy for text understanding

Wentao Wu;Hongsong Li;Haixun Wang;Kenny Q. Zhu

995
Citations
BLINKS: ranked keyword searches on graphs

Hao He;Haixun Wang;Jun Yang;Philip S. Yu

730
Citations
Clustering by pattern similarity in large data sets

Haixun Wang;Wei Wang;Jiong Yang;Philip S. Yu

727
Citations
Trinity: a distributed graph engine on a memory cloud

Bin Shao;Haixun Wang;Yatao Li

604
Citations
Managing and Mining Graph Data

Charu C. Aggarwal;Haixun Wang

491
Citations
ViST: a dynamic index method for querying XML data by tree structures

Haixun Wang;Sanghyun Park;Wei Fan;Philip S. Yu

471
Citations
Landmarks: a new model for similarity-based pattern querying in time series databases

C.-S. Perng;H. Wang;S.R. Zhang;D.S. Parker

461
Citations
/spl delta/-clusters: capturing subspace correlation in a large data set

Jiong Yang;Wei Wang;Haixun Wang;P. Yu

451
Citations
Moment: maintaining closed frequent itemsets over a stream sliding window

Yun Chi;Haixun Wang;P.S. Yu;R.R. Muntz

444
Citations
Enhanced biclustering on expression data

Jiong Yang;Haixun Wang;Wei Wang;P. Yu

435
Citations
A distributed graph engine for web scale RDF data

Kai Zeng;Jiacheng Yang;Haixun Wang;Bin Shao

410
Citations
Efficient subgraph matching on billion node graphs

Zhao Sun;Hongzhi Wang;Haixun Wang;Bin Shao

333
Citations
Dual Labeling: Answering Graph Reachability Queries in Constant Time

Haixun Wang;Hao He;Jun Yang;P.S. Yu

321
Citations
Local search of communities in large graphs

Wanyun Cui;Yanghua Xiao;Haixun Wang;Wei Wang

318
Citations
Natural language question answering over RDF: a graph data driven approach

Lei Zou;Ruizhe Huang;Haixun Wang;Jeffrey Xu Yu

309
Citations
Integrity auditing of outsourced data

Min Xie;Haixun Wang;Jian Yin;Xiaofeng Meng

291
Citations
KBQA: learning question answering over QA corpora and knowledge bases

Wanyun Cui;Yanghua Xiao;Haixun Wang;Yangqiu Song

288
Citations
Answering Natural Language Questions by Subgraph Matching over Knowledge Graphs

Sen Hu;Lei Zou;Jeffrey Xu Yu;Haixun Wang

279
Citations
Short text conceptualization using a probabilistic knowledgebase

Yangqiu Song;Haixun Wang;Zhongyuan Wang;Hongsong Li

272
Citations
Efficiently answering reachability queries on very large directed graphs

Ruoming Jin;Yang Xiang;Ning Ruan;Haixun Wang

238
Citations

Frequent Co-Authors

Philip S. Yu University of Illinois at Chicago

Wei Fan Tencent (China)

Carlo Zaniolo University of California, Los Angeles

Min Wang Google (United States)

Jian Pei Duke University

Jeffrey Xu Yu Chinese University of Hong Kong

Xiaofeng Meng Renmin University of China

Xuemin Lin Shanghai Jiao Tong University

Ruoming Jin Kent State University

Charu C. Aggarwal IBM (United States)

External Links

Personal website of Haixun Wang Google Scholar page

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