This map shows the geographic impact of Shan-Hung 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 Shan-Hung Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan-Hung Wu more than expected).
This network shows the impact of papers produced by Shan-Hung 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 Shan-Hung Wu. The network helps show where Shan-Hung Wu may publish in the future.
Co-authorship network of co-authors of Shan-Hung Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Shan-Hung Wu.
A scholar is included among the top collaborators of Shan-Hung 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 Shan-Hung Wu. Shan-Hung Wu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Liu, Yiwen, et al.. (2020). MPop600: A Mandarin Popular Song Database with Aligned Audio, Lyrics, and Musical Scores for Singing Voice Synthesis. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1647–1652.4 indexed citations
4.
Wu, Shan-Hung, et al.. (2020). On the Trade-off between Adversarial and Backdoor Robustness. Neural Information Processing Systems. 33. 11973–11983.16 indexed citations
5.
Chen, Weida & Shan-Hung Wu. (2019). CNN^{2}: Viewpoint Generalization via a Binocular Vision. Neural Information Processing Systems. 32. 1986–1998.1 indexed citations
6.
Wu, Shan-Hung, et al.. (2019). Distributed, Egocentric Representations of Graphs for Detecting Critical Structures. arXiv (Cornell University). 6354–6362.5 indexed citations
7.
Lin, Yu-Shan, et al.. (2019). MgCrab. Proceedings of the VLDB Endowment. 12(5). 597–610.11 indexed citations
8.
Wu, Shan-Hung, et al.. (2016). Learning User Perceived Clusters with Feature-Level Supervision. Neural Information Processing Systems. 29. 532–540.1 indexed citations
9.
Wu, Shan-Hung, et al.. (2016). T-Part. 1553–1565.7 indexed citations
10.
Hsu, Cheng-Yu, et al.. (2015). Non-Linear Cross-Domain Collaborative Filtering via Hyper-Structure Transfer. International Conference on Machine Learning. 1190–1198.14 indexed citations
11.
Wu, Shan-Hung, et al.. (2014). Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks. International Conference on Machine Learning. 298–306.11 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.