Chris Junchi Li

About

Chris Junchi Li is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Mechanics. According to data from OpenAlex, Chris Junchi Li has authored 13 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Statistics and Probability and 6 papers in Computational Mechanics. Recurrent topics in Chris Junchi Li’s work include Stochastic Gradient Optimization Techniques (8 papers), Markov Chains and Monte Carlo Methods (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Chris Junchi Li is often cited by papers focused on Stochastic Gradient Optimization Techniques (8 papers), Markov Chains and Monte Carlo Methods (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Chris Junchi Li collaborates with scholars based in United States, China and Canada. Chris Junchi Li's co-authors include Tong Zhang, Zhouchen Lin, Cong Fang, Wenqing Hu, Jian‐Guo Liu, Lei Li, Han Liu, Tong Zhang, Mengdi Wang and Jiaojiao Yang and has published in prestigious journals such as Mathematical Programming, Discrete and Continuous Dynamical Systems and Asymptotic Analysis.

In The Last Decade

Co-authorship network of co-authors of Chris Junchi Li i

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Fields of papers citing papers by Chris Junchi Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Junchi Li. 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 Chris Junchi Li. The network helps show where Chris Junchi Li may publish in the future.

Countries citing papers authored by Chris Junchi Li

Since Specialization

Citations

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

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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