Yongduo Sui

1.4k total citations
17 papers, 228 citations indexed

About

Yongduo Sui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yongduo Sui has authored 17 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Yongduo Sui's work include Advanced Graph Neural Networks (13 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Topic Modeling (3 papers). Yongduo Sui is often cited by papers focused on Advanced Graph Neural Networks (13 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Topic Modeling (3 papers). Yongduo Sui collaborates with scholars based in China, Singapore and United States. Yongduo Sui's co-authors include Xiang Wang, Jiancan Wu, Xiangnan He, Tat‐Seng Chua, Tianlong Chen, Yuning You, Zhangyang Wang, Ting Chen, Yang Shen and Xiang Wang and has published in prestigious journals such as International Journal of Intelligent Systems, ACM Transactions on Knowledge Discovery from Data and Frontiers of Computer Science.

In The Last Decade

Yongduo Sui

16 papers receiving 224 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yongduo Sui China	7	187	44	39	15	14	17	228
Mostofa Patwary United States	5	147 0.8×	26 0.6×	39 1.0×	16 1.1×	22 1.6×	10	210
Zeyang Lei China	7	314 1.7×	42 1.0×	58 1.5×	7 0.5×	18 1.3×	16	363
Sebastijan Dumančić Belgium	6	393 2.1×	53 1.2×	97 2.5×	16 1.1×	12 0.9×	12	428
Alberto García-Durán Switzerland	8	397 2.1×	54 1.2×	83 2.1×	25 1.7×	9 0.6×	16	448
İsmail İlkan Ceylan United Kingdom	8	196 1.0×	19 0.4×	30 0.8×	14 0.9×	37 2.6×	25	211
Guillermo Morales-Luna Mexico	7	86 0.5×	72 1.6×	44 1.1×	9 0.6×	12 0.9×	35	158
Qitian Wu China	8	118 0.6×	56 1.3×	25 0.6×	38 2.5×	5 0.4×	19	169
Yanmin Shang China	7	181 1.0×	75 1.7×	19 0.5×	58 3.9×	17 1.2×	26	221
Lukas Gianinazzi Switzerland	6	139 0.7×	28 0.6×	51 1.3×	19 1.3×	9 0.6×	14	225
Siwei Rao China	3	343 1.8×	43 1.0×	36 0.9×	30 2.0×	10 0.7×	6	364

Countries citing papers authored by Yongduo Sui

Since Specialization

Citations

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

Fields of papers citing papers by Yongduo Sui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongduo Sui

This figure shows the co-authorship network connecting the top 25 collaborators of Yongduo Sui. A scholar is included among the top collaborators of Yongduo Sui 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 Yongduo Sui. Yongduo Sui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Chen, Jingyuan, et al.. (2025). Grasp the Key Takeaways from Source Domain for Few Shot Graph Domain Adaptation. 2330–2340. 1 indexed citations

Sui, Yongduo, et al.. (2025). A Unified Invariant Learning Framework for Graph Classification. 1301–1312. 1 indexed citations

Wu, Jiancan, et al.. (2025). Invariant graph learning meets information bottleneck for out-of-distribution generalization. Frontiers of Computer Science. 20(1). 1 indexed citations

Gao, Yuan, et al.. (2024). Graph Anomaly Detection with Bi-level Optimization. 4383–4394. 4 indexed citations

Sui, Yongduo, et al.. (2024). Masked Graph Modeling with Multi- View Contrast. 2584–2597. 4 indexed citations

Sui, Yongduo, et al.. (2024). Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning. ACM Transactions on Knowledge Discovery from Data. 18(5). 1–24. 14 indexed citations

Li, Xinglin, Yongduo Sui, Yuan Gao, et al.. (2024). EXGC: Bridging Efficiency and Explainability in Graph Condensation. 721–732. 12 indexed citations

Sui, Yongduo, et al.. (2024). A Simple Data Augmentation for Graph Classification: A Perspective of Equivariance and Invariance. ACM Transactions on Knowledge Discovery from Data. 19(2). 1–24.

Sui, Yongduo, et al.. (2024). Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3745–3755. 10 indexed citations

10.

Sui, Yongduo, Zhixuan Chu, Yuan Gao, et al.. (2024). Invariant Graph Learning for Causal Effect Estimation. 2552–2562. 3 indexed citations

11.

Sui, Yongduo, et al.. (2024). Inductive Lottery Ticket Learning for Graph Neural Networks. Journal of Computer Science and Technology. 39(6). 1223–1237. 3 indexed citations

12.

Wu, Jiancan, et al.. (2023). GIF: A General Graph Unlearning Strategy via Influence Function. arXiv (Cornell University). 651–661. 20 indexed citations

13.

Sui, Yongduo, et al.. (2022). Causal Attention for Interpretable and Generalizable Graph Classification. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 1696–1705. 95 indexed citations

14.

Sui, Yongduo, et al.. (2022). Towards Robust Detection and Segmentation Using Vertical and Horizontal Adversarial Training. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 6 indexed citations

15.

Wang, Yanfang, Yongduo Sui, Xiang Wang, Zhenguang Liu, & Xiangnan He. (2022). Exploring lottery ticket hypothesis in media recommender systems. International Journal of Intelligent Systems. 37(5). 3006–3024. 6 indexed citations

16.

Chen, Xuxi, Zhenyu Zhang, Yongduo Sui, & Tianlong Chen. (2021). GANs Can Play Lottery Tickets Too. arXiv (Cornell University). 2 indexed citations

17.

You, Yuning, Tianlong Chen, Yongduo Sui, et al.. (2020). Graph Contrastive Learning with Augmentations. Neural Information Processing Systems. 33. 5812–5823. 46 indexed citations

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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