Shirui Pan

24.6k total citations · 15 hit papers
303 papers, 12.8k citations indexed

About

Shirui Pan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Shirui Pan has authored 303 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 218 papers in Artificial Intelligence, 60 papers in Computer Vision and Pattern Recognition and 58 papers in Information Systems. Recurrent topics in Shirui Pan's work include Advanced Graph Neural Networks (126 papers), Topic Modeling (50 papers) and Complex Network Analysis Techniques (50 papers). Shirui Pan is often cited by papers focused on Advanced Graph Neural Networks (126 papers), Topic Modeling (50 papers) and Complex Network Analysis Techniques (50 papers). Shirui Pan collaborates with scholars based in Australia, China and United States. Shirui Pan's co-authors include Chengqi Zhang, Guodong Long, Jing Jiang, Zonghan Wu, Philip S. Yu, Xingquan Zhu, Shaoxiong Ji, Erik Cambria, Jia Wu and Pekka Marttinen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Shirui Pan

277 papers receiving 12.5k citations

Hit Papers

Graph WaveNet for Deep Spatial-Temporal Graph Modeling 2018 2026 2020 2023 2019 2021 2020 2018 2024 500 1000 1.5k
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.

  1. Graph WaveNet for Deep Spatial-Temporal Graph Modeling
    2019 1.6k citations Shirui Pan, Guodong Long et al. Monash University Research Portal (Monash University) profile →
  2. A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
    2021 1.5k citations Shaoxiong Ji, Shirui Pan et al. IEEE Transactions on Neural Networks and Learning Systems profile →
  3. Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
    2020 1.0k citations Shirui Pan, Guodong Long et al. Griffith Research Online (Griffith University, Queensland, Australia) profile →
  4. DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding
    2018 508 citations Guodong Long, Shirui Pan et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
  5. Unifying Large Language Models and Knowledge Graphs: A Roadmap
    2024 373 citations Shirui Pan, Jiapu Wang et al. profile →
  6. Graph Self-Supervised Learning: A Survey
    2022 330 citations Yixin Liu, Ming Jin et al. profile →
  7. A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
    2021 259 citations Pengfei Jiao, Shirui Pan et al. profile →
  8. Learning Graph Embedding With Adversarial Training Methods
    2019 243 citations Shirui Pan, Guodong Long et al. profile →
  9. Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
    2021 240 citations Yixin Liu, Shirui Pan et al. IEEE Transactions on Neural Networks and Learning Systems profile →
  10. A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
    2024 139 citations Ming Jin, Huan Yee Koh et al. profile →
  11. Towards Unsupervised Deep Graph Structure Learning
    2022 125 citations Yixin Liu, Daokun Zhang et al. profile →
  12. Deep Learning for Time Series Anomaly Detection: A Survey
    2024 94 citations Geoffrey I. Webb, Shirui Pan et al. profile →
  13. Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
    2024 83 citations Ming Jin, Shirui Pan et al. profile →
  14. The integration of AI in nursing: addressing current applications, challenges, and future directions
    2025 28 citations Shirui Pan et al. profile →
  15. Transfer learning in agriculture: a review
    2025 16 citations Shirui Pan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shirui Pan Australia 52 7.5k 2.0k 2.0k 1.7k 1.7k 303 12.8k
Guodong Long Australia 32 3.3k 0.4× 1.8k 0.9× 1.1k 0.5× 744 0.4× 512 0.3× 136 6.8k
Tianrui Li China 67 7.3k 1.0× 1.3k 0.7× 3.6k 1.8× 4.9k 2.8× 349 0.2× 767 17.7k
Fei Wu China 49 5.0k 0.7× 1.0k 0.5× 4.7k 2.4× 1.3k 0.8× 397 0.2× 494 11.3k
Yong Yu China 54 9.0k 1.2× 749 0.4× 6.2k 3.1× 4.5k 2.6× 800 0.5× 301 16.5k
João Gama Portugal 46 7.3k 1.0× 746 0.4× 892 0.4× 1.2k 0.7× 330 0.2× 277 10.8k
Gao Cong Singapore 53 3.5k 0.5× 992 0.5× 1.4k 0.7× 4.1k 2.4× 1.5k 0.9× 297 10.8k
Feng Xia China 57 3.6k 0.5× 742 0.4× 1.4k 0.7× 3.1k 1.8× 1.3k 0.7× 470 12.8k
Jiliang Tang United States 48 7.7k 1.0× 417 0.2× 2.0k 1.0× 4.6k 2.7× 1.7k 1.0× 202 12.4k
Xiaofang Zhou China 58 4.3k 0.6× 1.0k 0.5× 3.6k 1.8× 3.7k 2.1× 583 0.3× 613 14.4k
Maosong Sun China 59 14.1k 1.9× 388 0.2× 2.7k 1.4× 2.8k 1.6× 1.8k 1.0× 359 18.2k

Countries citing papers authored by Shirui Pan

Since Specialization
Citations

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

Fields of papers citing papers by Shirui Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shirui Pan

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

All Works

20 of 20 papers shown
1.
2.
Jiao, Pengfei, et al.. (2025). Interactive Graph Learning for Multilevel Network Alignment. IEEE Transactions on Neural Networks and Learning Systems. 36(11). 19924–19938.
3.
Zhang, Yanjun, Leo Yu Zhang, Chao Chen, et al.. (2025). Extracting Private Training Data in Federated Learning From Clients. IEEE Transactions on Information Forensics and Security. 20. 4525–4540. 1 indexed citations
4.
Mohammadi, Bahram, Yicong Hong, Yuankai Qi, et al.. (2024). Augmented Commonsense Knowledge for Remote Object Grounding. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4269–4277. 9 indexed citations
5.
Yang, Libin, et al.. (2024). An Inductive Reasoning Model based on Interpretable Logical Rules over temporal knowledge graph. Neural Networks. 174. 106219–106219. 8 indexed citations
6.
Bao, Peng, Rong Yan, & Shirui Pan. (2024). Co-augmentation of structure and feature for boosting graph contrastive learning. Information Sciences. 676. 120792–120792. 1 indexed citations
7.
Liang, Chunquan, et al.. (2024). Bootstrap Latent Prototypes for graph positive-unlabeled learning. Information Fusion. 112. 102553–102553. 1 indexed citations
8.
Ji, Shaoxiong, Yue Tan, Zhiqin Yang, et al.. (2024). Emerging trends in federated learning: from model fusion to federated X learning. International Journal of Machine Learning and Cybernetics. 15(9). 3769–3790. 33 indexed citations
9.
Li, Xiaozhen, Xu Long, Tianmin Xu, et al.. (2024). Progress in indentation test for material characterization: A systematic review. SHILAP Revista de lepidopterología. 17. 100358–100358. 4 indexed citations
10.
Li, Shiyuan, et al.. (2024). Bi-SGTAR: A simple yet efficient model for circRNA-disease association prediction based on known association pair only. Knowledge-Based Systems. 291. 111622–111622. 16 indexed citations
11.
Wang, Jiapu, Boyue Wang, Shirui Pan, et al.. (2024). IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion. 1954–1962. 9 indexed citations
12.
Koh, Huan Yee, Thi Nguyen, Shirui Pan, Lauren T. May, & Geoffrey I. Webb. (2024). Physicochemical graph neural network for learning protein–ligand interaction fingerprints from sequence data. Nature Machine Intelligence. 6(6). 673–687. 29 indexed citations
13.
Zhang, Daokun, et al.. (2024). Towards complex dynamic physics system simulation with graph neural ordinary equations. Neural Networks. 176. 106341–106341. 8 indexed citations
14.
Zhang, Qin, et al.. (2023). G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. Griffith Research Online (Griffith University, Queensland, Australia). 4576–4583. 3 indexed citations
15.
Cao, Xiaofeng, et al.. (2023). Improving Augmentation Consistency for Graph Contrastive Learning. Pattern Recognition. 148. 110182–110182. 12 indexed citations
16.
Xiong, Fei, et al.. (2023). How heterogeneous social influence acts on human decision-making in online social networks. Chaos Solitons & Fractals. 172. 113617–113617. 9 indexed citations
17.
Chen, Ruyi, Fuyi Li, Xudong Guo, et al.. (2023). ATTIC is an integrated approach for predicting A-to-I RNA editing sites in three species. Briefings in Bioinformatics. 24(3). 18 indexed citations
18.
Pan, Shirui, et al.. (2023). Neighbor Contrastive Learning on Learnable Graph Augmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9782–9791. 55 indexed citations
19.
Xiong, Fei, Shirui Pan, & Xuzhen Zhu. (2022). Collective Behavior Analysis and Graph Mining in Social Networks 2021. Complexity. 2022(1). 2 indexed citations
20.
Zhang, Miao, Huiqi Li, Shirui Pan, et al.. (2020). Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement. Monash University Research Portal (Monash University). 16 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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