Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Semidefinite Relaxation of Quadratic Optimization Problems
20102.7k citationsZhi‐Quan Luo, Anthony Man–Cho So et al.profile →
Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization
2014669 citationsAnthony Man–Cho So, Tsung‐Hui Chang et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Anthony Man–Cho So
Since
Specialization
Citations
This map shows the geographic impact of Anthony Man–Cho So'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 Anthony Man–Cho So with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Man–Cho So more than expected).
Fields of papers citing papers by Anthony Man–Cho So
This network shows the impact of papers produced by Anthony Man–Cho So. 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 Anthony Man–Cho So. The network helps show where Anthony Man–Cho So may publish in the future.
Co-authorship network of co-authors of Anthony Man–Cho So
This figure shows the co-authorship network connecting the top 25 collaborators of Anthony Man–Cho So.
A scholar is included among the top collaborators of Anthony Man–Cho So 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 Anthony Man–Cho So. Anthony Man–Cho So is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wang, Peng, Zirui Zhou, & Anthony Man–Cho So. (2020). A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model. International Conference on Machine Learning. 1. 10126–10135.1 indexed citations
6.
Zhou, Kaiwen, Anthony Man–Cho So, & James Cheng. (2020). Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates. Neural Information Processing Systems. 33. 15405–15416.1 indexed citations
Lai, Russell W. F., Kam-Fung Cheung, Sherman S. M. Chow, & Anthony Man–Cho So. (2018). Another Look at Anonymous Communication. IEEE Transactions on Dependable and Secure Computing. 16(5). 731–742.10 indexed citations
10.
Chen, Shixiang, Shiqian Ma, Anthony Man–Cho So, & Tong Zhang. (2018). Proximal Gradient Method for Manifold Optimization. arXiv (Cornell University).1 indexed citations
11.
Hu, Junjie, Haiqin Yang, Michael R. Lyu, Irwin King, & Anthony Man–Cho So. (2017). Online Nonlinear AUC Maximization for Imbalanced Data Sets. IEEE Transactions on Neural Networks and Learning Systems. 29(4). 882–895.41 indexed citations
12.
Zhou, Zirui, et al.. (2015). $\ell_{1,p}$-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods. International Conference on Machine Learning. 1501–1510.7 indexed citations
13.
Zhou, Zirui, et al.. (2013). On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization. Neural Information Processing Systems. 26. 710–718.19 indexed citations
14.
Wu, Xiao-Ming, Zhenguo Li, Anthony Man–Cho So, John Wright, & Shih‐Fu Chang. (2012). Learning with Partially Absorbing Random Walks. Neural Information Processing Systems. 25. 3077–3085.72 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.