Shu Wu
Impact in
- Information Systems top 0.2%
- Recommender Systems and Techniques
- Spam and Phishing Detection
- Transportation top 0.5%
- Human Mobility and Location-Based Analysis
Papers in
-
- Advanced Graph Neural Networks 30
- Topic Modeling 28
- Natural Language Processing Techniques 8
-
- Recommender Systems and Techniques 33
- Spam and Phishing Detection 10
- Co-authors
- Liang Wang (56 shared papers)Tieniu Tan (13 shared papers)Qiang Liu (31 shared papers)Qiang Liu (3 shared papers)Qiyue Yin (5 shared papers)Yu Feng (2 shared papers)Feng Yu (2 shared papers)Qiang Liu (6 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (12 papers)Neurocomputing (5 papers)Pattern Recognition (5 papers)ACM Transactions on Intelligent Systems and Technology (3 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Shu Wu
101 papers receiving 3.8k citations
Shu Wu's Hit Papers
Peers
Comparison fields: 5 of 138
- Information Systems 2.0k
- Transportation 579
- Artificial Intelligence 2.1k
- Computational Mathematics 36
- Computer Vision and Pattern Recognition 1.1k
Countries citing papers authored by Shu Wu
This map shows the geographic impact of Shu Wu'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 Shu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Wu more than expected).
Fields of papers citing papers by Shu Wu
This network shows the impact of papers produced by Shu Wu. 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 Shu Wu. The network helps show where Shu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu Wu, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts Hit paper breakdown → | 2016 | 640 |
| 2 | A Dynamic Recurrent Model for Next Basket Recommendation Hit paper breakdown → | 2016 | 332 |
| 3 | A Convolutional Approach for Misinformation Identification Hit paper breakdown → | 2017 | 327 |
| 4 | 2020 | 197 | |
| 5 | Mining Latent Structures for Multimedia Recommendation Hit paper breakdown → | 2021 | 161 |
| 6 | Dynamic Graph Neural Networks for Sequential Recommendation Hit paper breakdown → | 2022 | 145 |
| 7 | 2018 | 127 | |
| 8 | 2016 | 115 | |
| 9 | 2011 | 112 | |
| 10 | 2015 | 107 | |
| 11 | 2017 | 94 | |
| 12 | 2015 | 91 | |
| 13 | 2017 | 74 | |
| 14 | 2022 | 70 | |
| 15 | 2017 | 62 | |
| 16 | 2022 | 62 | |
| 17 | 2019 | 59 | |
| 18 | 2015 | 59 | |
| 19 | 2020 | 54 | |
| 20 | 2020 | 52 |
About Shu Wu
Shu Wu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 106 papers that have together received 3.9k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (33 papers), Advanced Graph Neural Networks (30 papers), Topic Modeling (28 papers), Misinformation and Its Impacts (14 papers), Spam and Phishing Detection (10 papers), Natural Language Processing Techniques (8 papers), Complex Network Analysis Techniques (8 papers) and Image Retrieval and Classification Techniques (8 papers). The work is most often cited by research in Information Systems (2.0k citations), Transportation (579 citations), Artificial Intelligence (2.1k citations), Computational Mathematics (36 citations) and Computer Vision and Pattern Recognition (1.1k citations). Shu Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Liang Wang, Tieniu Tan, Qiang Liu, Qiang Liu, Qiyue Yin, Yu Feng, Feng Yu, Qiang Liu, Qiang Liu and Xueli Yu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Neurocomputing, Pattern Recognition, ACM Transactions on Intelligent Systems and Technology and IEEE Transactions on Neural Networks and Learning Systems.
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.