Yushun Dong

959 total citations
25 papers, 448 citations indexed

About

Yushun Dong is a scholar working on Artificial Intelligence, Safety Research and Information Systems. According to data from OpenAlex, Yushun Dong has authored 25 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 7 papers in Safety Research and 3 papers in Information Systems. Recurrent topics in Yushun Dong's work include Advanced Graph Neural Networks (15 papers), Explainable Artificial Intelligence (XAI) (10 papers) and Ethics and Social Impacts of AI (7 papers). Yushun Dong is often cited by papers focused on Advanced Graph Neural Networks (15 papers), Explainable Artificial Intelligence (XAI) (10 papers) and Ethics and Social Impacts of AI (7 papers). Yushun Dong collaborates with scholars based in United States, Hong Kong and China. Yushun Dong's co-authors include Jundong Li, Ninghao Liu, Chen Chen, Jing Ma, Song Wang, Brian Jalaian, Hanghang Tong, Jian Kang, Tyler Derr and Yu Wang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data and Griffith Research Online (Griffith University, Queensland, Australia).

In The Last Decade

Yushun Dong

21 papers receiving 443 citations

Peers

Countries citing papers authored by Yushun Dong

Since Specialization

Citations

This map shows the geographic impact of Yushun Dong'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 Yushun Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yushun Dong more than expected).

Fields of papers citing papers by Yushun Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yushun Dong. 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 Yushun Dong. The network helps show where Yushun Dong may publish in the future.

Co-authorship network of co-authors of Yushun Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yushun Dong. A scholar is included among the top collaborators of Yushun Dong 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 Yushun Dong. Yushun Dong 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	ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks 2025 ·(unknown), (unknown), (unknown), (unknown), Shiqiang Li, Yushun Dong	0
2	PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection 2025 ·(unknown), (unknown), W.C. Siu, (unknown), (unknown), (unknown), (unknown), (unknown), Zhuo Xiao, (unknown), (unknown), Yushun Dong, Yue Zhao	3
3	BrainMAP: Learning Multiple Activation Pathways in Brain Networks 2025 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Song Wang, Zhenyu Lei, (unknown), (unknown), Xinyu Zhao, Yushun Dong, (unknown), Tianlong Chen, (unknown), Aiying Zhang, Jundong Li	0
4	ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data 2025 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Zhenyu Lei, Yushun Dong, Jundong Li, Chen Chen	0
5	IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks 2024 ·Yushun Dong, (unknown), (unknown), Na Zou, Jundong Li	5
6	PyGDebias: A Python Library for Debiasing in Graph Learning 2024 ·Yushun Dong, (unknown), (unknown), Song Wang, Jing Ma, (unknown), Chen Chen, Jundong Li	0
7	Rethinking Fair Graph Neural Networks from Re-balancing 2024 ·(unknown), Yushun Dong, Qiang Liu, Jeffrey Xu Yu	4
8	Knowledge Graph-Enhanced Large Language Models via Path Selection 2024 ·Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li	6
9	Fairness in Graph Machine Learning: Recent Advances and Future Prospectives 2023 ·Yushun Dong, (unknown), Yanning Shen, Jundong Li	2
10	GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction 2023 ·(unknown), Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu	15
11	When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? 2023 ·Yushun Dong, Jundong Li, (unknown)	6
12	Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective 2023 ·Griffith Research Online (Griffith University, Queensland, Australia) ·Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng	2
13	Learning Hierarchical Task Structures for Few-shot Graph Classification 2023 ·ACM Transactions on Knowledge Discovery from Data ·Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li	1
14	Fairness in Graph Mining: A Survey 2023 ·IEEE Transactions on Knowledge and Data Engineering ·Yushun Dong, Jing Ma, Song Wang, Chen Chen, Jundong Li	68
15	Interpreting Unfairness in Graph Neural Networks via Training Node Attribution 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li	13
16	EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks 2022 ·Proceedings of the ACM Web Conference 2022 ·Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li	71
17	GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks 2022 ·Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining ·Weihao Song, Yushun Dong, Ninghao Liu, Jundong Li	15
18	FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs 2022 ·Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence ·Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li	6
19	Individual Fairness for Graph Neural Networks 2021 ·Yushun Dong, Jian Kang, Hanghang Tong, Jundong Li	59
20	Forecasting Pavement Performance with a Feature Fusion LSTM-BPNN Model 2019 ·Yushun Dong, Yingxia Shao, Xiaotong Li, (unknown), (unknown), Zhang We, Junping Du	20

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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