This map shows the geographic impact of Jialei Wang'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 Jialei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jialei Wang more than expected).
This network shows the impact of papers produced by Jialei Wang. 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 Jialei Wang. The network helps show where Jialei Wang may publish in the future.
Co-authorship network of co-authors of Jialei Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Jialei Wang.
A scholar is included among the top collaborators of Jialei Wang 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 Jialei Wang. Jialei Wang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wang, Jialei & Tong Zhang. (2019). Utilizing Second Order Information in Minibatch Stochastic Variance Reduced Proximal Iterations. Journal of Machine Learning Research. 20(42). 1–56.5 indexed citations
5.
Wangni, Jianqiao, Jialei Wang, Ji Liu, & Tong Zhang. (2018). Gradient Sparsification for Communication-Efficient Distributed Optimization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 31. 1299–1309.63 indexed citations
Zheng, Shun, Jialei Wang, Fen Xia, Wei Xu, & Tong Zhang. (2017). A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 18(115). 1–52.6 indexed citations
Wang, Jialei, Peilin Zhao, & Steven C. H. Hoi. (2016). Soft Confidence-Weighted Learning. ACM Transactions on Intelligent Systems and Technology. 8(1). 1–32.28 indexed citations
Zhao, Peilin, et al.. (2014). Online Transfer Learning. Artificial Intelligence. 216. 76–102.148 indexed citations
16.
Hoi, Steven C. H., Jialei Wang, & Peilin Zhao. (2014). Library for Online Learning Algorithms (LIBOL). Singapore Management University Institutional Knowledge (InK) (Singapore Management University).1 indexed citations
17.
Lü, Jing, Steven C. H. Hoi, Jialei Wang, & Peilin Zhao. (2013). Second Order Online Collaborative Filtering. DR-NTU (Nanyang Technological University). 29. 325–340.17 indexed citations
18.
Wang, Jialei, Peilin Zhao, Steven C. H. Hoi, & Rong Jin. (2013). Online Feature Selection and Its Applications. IEEE Transactions on Knowledge and Data Engineering. 26(3). 698–710.201 indexed citations
Zhuang, Jinfeng, Jialei Wang, Steven C. H. Hoi, & Xiangyang Lan. (2011). Unsupervised Multiple Kernel Learning. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 20. 129–144.33 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.