Chuxu Zhang

5.5k total citations · 4 hit papers
79 papers, 3.2k citations indexed

About

Chuxu Zhang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chuxu Zhang has authored 79 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 26 papers in Information Systems and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chuxu Zhang's work include Advanced Graph Neural Networks (40 papers), Topic Modeling (23 papers) and Recommender Systems and Techniques (20 papers). Chuxu Zhang is often cited by papers focused on Advanced Graph Neural Networks (40 papers), Topic Modeling (23 papers) and Recommender Systems and Techniques (20 papers). Chuxu Zhang collaborates with scholars based in United States, China and Saudi Arabia. Chuxu Zhang's co-authors include Nitesh V. Chawla, Chao Huang, Dongjin Song, Ananthram Swami, Zi‐Ke Zhang, Xin Lü, Xiu‐Xiu Zhan, Chuang Liu, Yi‐Cheng Zhang and Xiangliang Zhang and has published in prestigious journals such as PLoS ONE, Physics Reports and ACM Computing Surveys.

In The Last Decade

Chuxu Zhang

72 papers receiving 3.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Heterogeneous Graph Neural Network

2019 883 citations Chuxu Zhang, Nitesh V. Chawla et al. profile →
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

2019 482 citations Chuxu Zhang, Nitesh V. Chawla et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
Dynamics of information diffusion and its applications on complex networks

2016 346 citations Chuxu Zhang et al. profile →
Multi-Modal Self-Supervised Learning for Recommendation

2023 85 citations Chuxu Zhang et al. profile →

Peers

Countries citing papers authored by Chuxu Zhang

Since Specialization

Citations

This map shows the geographic impact of Chuxu Zhang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chuxu Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuxu Zhang more than expected).

Fields of papers citing papers by Chuxu Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuxu Zhang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chuxu Zhang. The network helps show where Chuxu Zhang may publish in the future.

Co-authorship network of co-authors of Chuxu Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Chuxu Zhang. A scholar is included among the top collaborators of Chuxu Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chuxu Zhang. Chuxu Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Training MLPs on Graphs without Supervision 2025 ·(unknown), (unknown), Chuxu Zhang, Yanfang Ye	0
2	LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection 2025 ·Tianyi Ma, Yefei Qian, (unknown), (unknown), Chuxu Zhang, Yanfang Ye	1
3	Graph Foundation Models: Challenges, Methods, and Open Questions 2025 ·(unknown), Chuxu Zhang, Jundong Li, Nitesh V. Chawla, (unknown)	0
4	MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation 2025 ·(unknown), (unknown), Tianyi Ma, (unknown), Steven W. Nelson, (unknown), (unknown), (unknown), Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye	2
5	Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning 2025 ·Yefei Qian, (unknown), Chuxu Zhang, Yanfang Ye	1
6	RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery 2024 ·Chuxu Zhang, Dongkuan Xu, Kaize Ding, Jundong Li, Mojan Javaheripi, (unknown), Nitesh V. Chawla, Huan Liu	0
7	Data‐efficient graph learning: Problems, progress, and prospects 2024 ·AI Magazine ·Kaize Ding, Yixin Liu, Chuxu Zhang, Jian-Ling Wang	1
8	Heterogeneous Temporal Graph Neural Network Explainer 2023 ·(unknown), Chunhui Zhang, Chuxu Zhang	5
9	A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data 2023 ·(unknown), (unknown), Chuxu Zhang, Yanfang Ye	0
10	RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery 2023 ·Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, (unknown), (unknown), Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang	0
11	Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), (unknown), Chuxu Zhang, Yanfang Ye	21
12	Boosting Graph Neural Networks via Adaptive Knowledge Distillation 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Zhichun Guo, Chunhui Zhang, (unknown), Yijun Tian, Chuxu Zhang, Nitesh V. Chawla	20
13	Heterogeneous relational reasoning in knowledge graphs with reinforcement learning 2022 ·Information Fusion ·Mandana Saebi, (unknown), Chuxu Zhang, Meng Jiang, Tomasz Kajdanowicz, Nitesh V. Chawla	9
14	GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media 2022 ·Jiele Wu, Chunhui Zhang, Zheyuan Liu, (unknown), Steven Lloyd Wilson, Chuxu Zhang	10
15	Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction 2022 ·Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining ·(unknown), (unknown), (unknown), (unknown), Yanfang Ye, Chuxu Zhang	7
16	Recipe Recommendation With Hierarchical Graph Attention Network 2022 ·Frontiers in Big Data ·(unknown), Chuxu Zhang, Ronald Metoyer, Nitesh V. Chawla	20
17	Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering 2022 ·(unknown), Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye	10
18	Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media 2021 ·Neural Information Processing Systems ·(unknown), Yiming Zhang, Yanfang Ye, Chuxu Zhang	13
19	Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection 2021 ·(unknown), Yiming Zhang, Yanfang Ye, Chuxu Zhang	10
20	Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases 2020 ·King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) ·Chuxu Zhang, Lu Yu, Mandana Saebi, Meng Jiang, Nitesh V. Chawla	15

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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