2026 Hanghang Tong: 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	68	2071	2006	1047	1007	360	19909

Research.com Recognitions

2020 - ACM Distinguished Member

Overview

Hanghang Tong is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research work is primarily situated within Computer Science, with a strong emphasis on Artificial Intelligence. Other notable subfields of their scientific contributions include Statistical and Nonlinear Physics, Information Systems, Computer Vision and Pattern Recognition, and Signal Processing.

The scientist's research topics cover several advanced areas such as:

Advanced Graph Neural Networks
Complex Network Analysis Techniques
Topic Modeling
Recommender Systems and Techniques
Privacy-Preserving Technologies in Data
Ethics and Social Impacts of AI
Adversarial Robustness in Machine Learning

Hanghang Tong has published extensively in various venues. Their most frequent publication outlets include:

arXiv (Cornell University)
IEEE Transactions on Knowledge and Data Engineering
2022 IEEE International Conference on Big Data (Big Data)
ACM Transactions on Knowledge Discovery from Data
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Among recent notable papers are:

Data Augmentation for Deep Graph Learning, 2022, ACM SIGKDD Explorations Newsletter
Graph Vulnerability and Robustness: A Survey, 2022, IEEE Transactions on Knowledge and Data Engineering
Trustworthy Graph Neural Networks: Aspects, Methods, and Trends, 2024, Proceedings of the IEEE
Nested Named Entity Recognition: A Survey, 2022, ACM Transactions on Knowledge Discovery from Data
Data-Driven Computational Social Science: A Survey, 2020, Big Data Research

The scientist frequently collaborates with a number of coauthors, including:

Jingrui He (25 joint publications)
Baoyu Jing (16 joint publications)
Jian Pei (14 joint publications)
Yada Zhu (14 joint publications)
Boxin Du (14 joint publications)

In addition to journal and conference papers, Hanghang Tong has contributed to academic books published by prominent publishers. These include:

Computational Approaches to the Network Science of Teams, Cambridge University Press, 2020
Network Connectivity, Morgan & Claypool Publishers, 2022

Hanghang Tong was recognized as an ACM Distinguished Member in 2020, reflecting their standing within the computing research community.

Best Publications

Graph based anomaly detection and description: a survey

Leman Akoglu;Hanghang Tong;Danai Koutra

1695
Citations
Graph convolutional networks: a comprehensive review

Si Zhang;Hanghang Tong;Jiejun Xu;Ross Maciejewski

1641
Citations
Fast Random Walk with Restart and Its Applications

Hanghang Tong;Christos Faloutsos;Jia-yu Pan

1403
Citations
Activity recognition with smartphone sensors

Xing Su;Hanghang Tong;Ping Ji

545
Citations
RolX: structural role extraction & mining in large graphs

Keith Henderson;Brian Gallagher;Tina Eliassi-Rad;Hanghang Tong

501
Citations
Manifold-ranking based image retrieval

Jingrui He;Mingjing Li;Hong-Jiang Zhang;Hanghang Tong

471
Citations
Random walk with restart: fast solutions and applications

Hanghang Tong;Christos Faloutsos;Jia-Yu Pan

432
Citations
Blur detection for digital images using wavelet transform

Hanghang Tong;Mingjing Li;Hongjiang Zhang;Changshui Zhang

417
Citations
Center-piece subgraphs: problem definition and fast solutions

Hanghang Tong;Christos Faloutsos

364
Citations
Fast best-effort pattern matching in large attributed graphs

Hanghang Tong;Christos Faloutsos;Brian Gallagher;Tina Eliassi-Rad

352
Citations
It's who you know: graph mining using recursive structural features

Keith Henderson;Brian Gallagher;Lei Li;Leman Akoglu

321
Citations
Gelling, and melting, large graphs by edge manipulation

Hanghang Tong;B. Aditya Prakash;Tina Eliassi-Rad;Michalis Faloutsos

279
Citations
HDMI: High-order Deep Multiplex Infomax

Unknown

250
Citations
FINAL: Fast Attributed Network Alignment

Si Zhang;Hanghang Tong

245
Citations
Using ghost edges for classification in sparsely labeled networks

Brian Gallagher;Hanghang Tong;Tina Eliassi-Rad;Christos Faloutsos

200
Citations
Centralities in large networks: Algorithms and observations

U. Kang;Spiros Papadimitriou;Jimeng Sun;Hanghang Tong

197
Citations
Virus propagation on time-varying networks: theory and immunization algorithms

B. Aditya Prakash;Hanghang Tong;Nicholas Valler;Michalis Faloutsos

190
Citations
On the Vulnerability of Large Graphs

Hanghang Tong;B. Aditya Prakash;Charalampos Tsourakakis;Tina Eliassi-Rad

179
Citations
Classification of digital photos taken by photographers or home users

Hanghang Tong;Mingjing Li;Hong-Jiang Zhang;Jingrui He

177
Citations
Non-Negative Residual Matrix Factorization with Application to Graph Anomaly Detection.

Hanghang Tong;Ching Yung Lin

176
Citations
Information Spreading in Context

Dashun Wang;Zhen Wen;Hanghang Tong;Ching-Yung Lin

165
Citations

Frequent Co-Authors

Christos Faloutsos Carnegie Mellon University

Jingrui He University of Illinois at Urbana-Champaign

Nan Cao Tongji University

Leman Akoglu Carnegie Mellon University

Tina Eliassi-Rad Northeastern University

Duen Horng Chau Georgia Institute of Technology

Jie Tang Tsinghua University

Ching-Yung Lin National Chi Nan University

Changshui Zhang Tsinghua University

Mingjing Li Microsoft (United States)

External Links

Personal website of Hanghang Tong Google Scholar page

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