417 total citations 6 papers, 16 citations indexed
About
Cyril Zhang is a scholar working on Computational Mechanics, Artificial Intelligence and Computational Theory and Mathematics.
According to data from OpenAlex, Cyril Zhang has authored 6 papers receiving a total of 16 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computational Mechanics, 2 papers in Artificial Intelligence and 2 papers in Computational Theory and Mathematics. Recurrent topics in Cyril Zhang's work include Sparse and Compressive Sensing Techniques (3 papers), Markov Chains and Monte Carlo Methods (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). Cyril Zhang is often cited by papers focused on Sparse and Compressive Sensing Techniques (3 papers), Markov Chains and Monte Carlo Methods (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). Cyril Zhang collaborates with scholars based in United States. Cyril Zhang's co-authors include Elad Hazan, Karan Singh, Karan Singh, Yi Zhang, Sanjeev Arora, Naman Agarwal, Brian Bullins, Danielle Bragg, Yi Zhang and Xinyi Chen and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and International Conference on Learning Representations.
Citations per year, relative to Cyril Zhang Cyril Zhang (= 1×)
peers
Zhaomin Xiao
Countries citing papers authored by Cyril Zhang
Since
Specialization
Citations
This map shows the geographic impact of Cyril Zhang'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 Cyril Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cyril Zhang more than expected).
This network shows the impact of papers produced by Cyril Zhang. 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 Cyril Zhang. The network helps show where Cyril Zhang may publish in the future.
Co-authorship network of co-authors of Cyril Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Cyril Zhang.
A scholar is included among the top collaborators of Cyril Zhang 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 Cyril Zhang. Cyril Zhang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Arora, Sanjeev, et al.. (2018). Towards Provable Control for Unknown Linear Dynamical Systems. International Conference on Learning Representations.4 indexed citations
4.
Agarwal, Naman, Brian Bullins, Xinyi Chen, et al.. (2018). The Case for Full-Matrix Adaptive Regularization. arXiv (Cornell University).
Hazan, Elad, Karan Singh, & Cyril Zhang. (2017). Efficient Regret Minimization in Non-Convex Games. International Conference on Machine Learning. 1433–1441.6 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.