Shirui Pan
Impact in
- Artificial Intelligence top 0.05%
- Advanced Graph Neural Networks
- Topic Modeling
- Anomaly Detection Techniques and Applications
- Transportation top 0.2%
- Transportation Planning and Optimization
Papers in
-
- Advanced Graph Neural Networks 128
- Topic Modeling 51
- Domain Adaptation and Few-Shot Learning 30
- Anomaly Detection Techniques and Applications 22
- Text and Document Classification Technologies 19
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- Recommender Systems and Techniques 45
- Co-authors
- Chengqi Zhang (34 shared papers)Guodong Long (27 shared papers)Jing Jiang (16 shared papers)Zonghan Wu (5 shared papers)Philip S. Yu (10 shared papers)Shaoxiong Ji (5 shared papers)Xingquan Zhu (39 shared papers)Erik Cambria (3 shared papers)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (15 papers)IEEE Transactions on Knowledge and Data Engineering (13 papers)Pattern Recognition (12 papers)IEEE Transactions on Cybernetics (11 papers)Neural Networks (9 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Shirui Pan
285 papers receiving 13.4k citations
Shirui Pan's Hit Papers
Peers
Comparison fields: 5 of 184
- Artificial Intelligence 7.8k
- Transportation 1.4k
- Building and Construction 2.2k
- Statistical and Nonlinear Physics 1.8k
- Signal Processing 1.5k
Countries citing papers authored by Shirui Pan
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
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-authors
The 25 scholars most cited alongside Shirui Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 308 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Graph WaveNet for Deep Spatial-Temporal Graph Modeling Hit paper breakdown → | 2019 | 1693 |
| 2 | A Survey on Knowledge Graphs: Representation, Acquisition, and Applications Hit paper breakdown → | 2021 | 1535 |
| 3 | Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks Hit paper breakdown → | 2020 | 1103 |
| 4 | DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding Hit paper breakdown → | 2018 | 518 |
| 5 | Unifying Large Language Models and Knowledge Graphs: A Roadmap Hit paper breakdown → | 2024 | 444 |
| 6 | Graph Self-Supervised Learning: A Survey Hit paper breakdown → | 2022 | 353 |
| 7 | Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Hit paper breakdown → | 2021 | 267 |
| 8 | A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning Hit paper breakdown → | 2021 | 266 |
| 9 | 2017 | 262 | |
| 10 | Learning Graph Embedding With Adversarial Training Methods Hit paper breakdown → | 2019 | 259 |
| 11 | Tri-party deep network representation | 2016 | 214 |
| 12 | 2020 | 182 | |
| 13 | A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Hit paper breakdown → | 2024 | 177 |
| 14 | 2020 | 155 | |
| 15 | Towards Unsupervised Deep Graph Structure Learning Hit paper breakdown → | 2022 | 133 |
| 16 | 2018 | 129 | |
| 17 | Deep Learning for Time Series Anomaly Detection: A Survey Hit paper breakdown → | 2024 | 125 |
| 18 | 2022 | 106 | |
| 19 | 2023 | 106 | |
| 20 | 2020 | 103 |
About Shirui Pan
Shirui Pan is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Molecular Biology, having authored 308 papers that have together received 13.7k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (128 papers), Topic Modeling (51 papers), Complex Network Analysis Techniques (50 papers), Recommender Systems and Techniques (45 papers), Domain Adaptation and Few-Shot Learning (30 papers), Anomaly Detection Techniques and Applications (22 papers), Text and Document Classification Technologies (19 papers) and Time Series Analysis and Forecasting (17 papers). The work is most often cited by research in Artificial Intelligence (7.8k citations), Transportation (1.4k citations), Building and Construction (2.2k citations), Statistical and Nonlinear Physics (1.8k citations) and Signal Processing (1.5k citations). Shirui Pan has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Chengqi Zhang, Guodong Long, Jing Jiang, Zonghan Wu, Philip S. Yu, Shaoxiong Ji, Xingquan Zhu, Erik Cambria, Pekka Marttinen and Jia Wu. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering, Pattern Recognition, IEEE Transactions on Cybernetics and Neural Networks.
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.