Shiwen Wu

1.7k total citations · 2 hit papers
6 papers, 951 citations indexed

About

Shiwen Wu is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Shiwen Wu has authored 6 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Artificial Intelligence and 3 papers in Management Science and Operations Research. Recurrent topics in Shiwen Wu's work include Recommender Systems and Techniques (5 papers), Advanced Graph Neural Networks (2 papers) and Advanced Bandit Algorithms Research (2 papers). Shiwen Wu is often cited by papers focused on Recommender Systems and Techniques (5 papers), Advanced Graph Neural Networks (2 papers) and Advanced Bandit Algorithms Research (2 papers). Shiwen Wu collaborates with scholars based in China, United States and Canada. Shiwen Wu's co-authors include Bin Cui, Fei Sun, Wentao Zhang, X. H. Xie, Jiandong Zhang, Xu Xie, Jinyang Gao, Bolin Ding, Zhaoyang Liu and Kaigui Bian and has published in prestigious journals such as ACM Computing Surveys, Knowledge-Based Systems and Proceedings of the VLDB Endowment.

In The Last Decade

Shiwen Wu

6 papers receiving 924 citations

Hit Papers

Graph Neural Networks in ... 2022 2026 2023 2024 2022 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiwen Wu China 5 680 628 208 105 86 6 951
Pipei Huang China 7 549 0.8× 654 1.0× 299 1.4× 120 1.1× 125 1.5× 10 952
Eric Zhao United States 4 890 1.3× 665 1.1× 232 1.1× 54 0.5× 171 2.0× 7 1.1k
Tao Qi China 20 1.1k 1.7× 970 1.5× 234 1.1× 86 0.8× 107 1.2× 49 1.4k
Yukuo Cen China 10 599 0.9× 333 0.5× 191 0.9× 70 0.7× 53 0.6× 17 822
Xin Xin China 19 593 0.9× 625 1.0× 169 0.8× 178 1.7× 135 1.6× 82 1.0k
Quanyu Dai China 16 622 0.9× 296 0.5× 163 0.8× 111 1.1× 65 0.8× 44 829
Lan Nie United States 8 361 0.5× 379 0.6× 171 0.8× 132 1.3× 95 1.1× 12 702
Bolin Ding United States 13 609 0.9× 653 1.0× 148 0.7× 152 1.4× 152 1.8× 21 947

Countries citing papers authored by Shiwen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shiwen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiwen Wu

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

All Works

6 of 6 papers shown
1.
Wu, Shiwen, et al.. (2023). Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution. Proceedings of the VLDB Endowment. 17(3). 292–304. 2 indexed citations
2.
Wu, Shiwen, Fei Sun, Wentao Zhang, X. H. Xie, & Bin Cui. (2022). Graph Neural Networks in Recommender Systems: A Survey. ACM Computing Surveys. 55(5). 1–37. 594 indexed citations breakdown →
3.
Xie, Xu, Fei Sun, Zhaoyang Liu, et al.. (2022). Contrastive Learning for Sequential Recommendation. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 1259–1273. 301 indexed citations breakdown →
4.
Wu, Shiwen, Yuanxing Zhang, Wentao Zhang, Kaigui Bian, & Bin Cui. (2021). Enhanced review-based rating prediction by exploiting aside information and user influence. Knowledge-Based Systems. 222. 107015–107015. 5 indexed citations
5.
Xie, Xu, Zhaoyang Liu, Shiwen Wu, et al.. (2021). CausCF. 4253–4263. 4 indexed citations
6.
Wu, Shiwen, et al.. (2020). GARG: Anonymous Recommendation of Point-of-Interest in Mobile Networks by Graph Convolution Network. Data Science and Engineering. 5(4). 433–447. 45 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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