2026 Yizhou Sun: 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	64	2552	2473	1275	1227	259	20715

Overview

Yizhou Sun is affiliated with the University of California, Los Angeles in the United States. Their research primarily belongs to the field of Computer Science, with a significant focus on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Statistical and Nonlinear Physics, and Materials Chemistry.

Their scientific publications cover key topics including:

Advanced Graph Neural Networks
Topic Modeling
Machine Learning in Materials Science
Natural Language Processing Techniques
Complex Network Analysis Techniques
Bayesian Modeling and Causal Inference
Marine Bivalve and Aquaculture Studies

Yizhou Sun's work has appeared frequently in a range of publication venues. Most notably, they have published extensively in arXiv (Cornell University) with over 100 papers. Other common venues include the Proceedings of the AAAI Conference on Artificial Intelligence, Nature Machine Intelligence, Nature Communications, and Aquaculture.

Recent papers authored or coauthored by Yizhou Sun include:

Finding key players in complex networks through deep reinforcement learning (2020), published in Nature Machine Intelligence
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark (2020), published in IEEE Transactions on Knowledge and Data Engineering
Network Embedding for Community Detection in Attributed Networks (2020), published in ACM Transactions on Knowledge Discovery from Data
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
Multivariate time-series classification with hierarchical variational graph pooling (2022), published in Neural Networks

The scientist collaborates frequently with other researchers including Kewei Cheng, Zijie Huang, Wei Wang, Yunsheng Bai, and Kai-Wei Chang.

Yizhou Sun has also authored a book titled Knowledge Graph Reasoning, published in 2024 by Morgan & Claypool Publishers.

Best Publications

PathSim: meta path-based top-K similarity search in heterogeneous information networks

Yizhou Sun;Jiawei Han;Xifeng Yan;Philip S. Yu

2108
Citations
Heterogeneous Graph Transformer

Ziniu Hu;Yuxiao Dong;Kuansan Wang;Yizhou Sun

1215
Citations
A Survey of Heterogeneous Information Network Analysis

Chuan Shi;Yitong Li;Jiawei Zhang;Yizhou Sun

1167
Citations
Personalized entity recommendation: a heterogeneous information network approach

Xiao Yu;Xiang Ren;Yizhou Sun;Quanquan Gu

814
Citations
Mining heterogeneous information networks: a structural analysis approach

Yizhou Sun;Jiawei Han

684
Citations
Ranking-based clustering of heterogeneous information networks with star network schema

Yizhou Sun;Yintao Yu;Jiawei Han

677
Citations
Mining Heterogeneous Information Networks: Principles and Methodologies

Yizhou Sun;Jiawei Han

580
Citations
Co-author Relationship Prediction in Heterogeneous Bibliographic Networks

Yizhou Sun;Rick Barber;Manish Gupta;Charu C. Aggarwal

547
Citations
RankClus: integrating clustering with ranking for heterogeneous information network analysis

Yizhou Sun;Jiawei Han;Peixiang Zhao;Zhijun Yin

525
Citations
GPT-GNN: Generative Pre-Training of Graph Neural Networks

Ziniu Hu;Yuxiao Dong;Kuansan Wang;Kai-Wei Chang

478
Citations
LCARS: a location-content-aware recommender system

Hongzhi Yin;Yizhou Sun;Bin Cui;Zhiting Hu

428
Citations
PathSelClus: Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks

Yizhou Sun;Brandon Norick;Jiawei Han;Xifeng Yan

421
Citations
Finding key players in complex networks through deep reinforcement learning.

Changjun Fan;Li Zeng;Yizhou Sun;Yang-Yu Liu

368
Citations
On community outliers and their efficient detection in information networks

Jing Gao;Feng Liang;Wei Fan;Chi Wang

346
Citations
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation

Yunsheng Bai;Hao Ding;Song Bian;Ting Chen

339
Citations
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark

Carl Yang;Yuxin Xiao;Yu Zhang;Yizhou Sun

308
Citations
Graph regularized transductive classification on heterogeneous information networks

Ming Ji;Yizhou Sun;Marina Danilevsky;Jiawei Han

299
Citations
When will it happen?: relationship prediction in heterogeneous information networks

Yizhou Sun;Jiawei Han;Charu C. Aggarwal;Nitesh V. Chawla

297
Citations
P-Rank: a comprehensive structural similarity measure over information networks

Peixiang Zhao;Jiawei Han;Yizhou Sun

284
Citations
Recommendation in heterogeneous information networks with implicit user feedback

Xiao Yu;Xiang Ren;Yizhou Sun;Bradley Sturt

229
Citations
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks

Difan Zou;Ziniu Hu;Yewen Wang;Song Jiang

96
Citations

Frequent Co-Authors

Jiawei Han University of Illinois at Urbana-Champaign

Philip S. Yu University of Illinois at Chicago

Jing Gao Purdue University West Lafayette

Carlo Zaniolo University of California, Los Angeles

Kai-Wei Chang University of California, Los Angeles

Xiang Ren University of Southern California

Kuansan Wang Microsoft (United States)

Peipei Ping University of California, Los Angeles

Xifeng Yan University of California, Santa Barbara

Hongzhi Yin University of Queensland

External Links

Personal website of Yizhou Sun Google Scholar page

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