Guanghui Lan

74 papers and 3.6k indexed citations i.

About

Guanghui Lan is a scholar working on Artificial Intelligence, Computational Mechanics and Numerical Analysis. According to data from OpenAlex, Guanghui Lan has authored 74 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 38 papers in Computational Mechanics and 23 papers in Numerical Analysis. Recurrent topics in Guanghui Lan’s work include Stochastic Gradient Optimization Techniques (40 papers), Sparse and Compressive Sensing Techniques (38 papers) and Advanced Optimization Algorithms Research (23 papers). Guanghui Lan is often cited by papers focused on Stochastic Gradient Optimization Techniques (40 papers), Sparse and Compressive Sensing Techniques (38 papers) and Advanced Optimization Algorithms Research (23 papers). Guanghui Lan collaborates with scholars based in United States, China and France. Guanghui Lan's co-authors include Saeed Ghadimi, Arkadi Nemirovski, Alexander Shapiro, Anatoli Juditsky, Yuyuan Ouyang, Yunmei Chen, Renato D. C. Monteiro, Hongchao Zhang, Yi Zhou and Gail W. DePuy and has published in prestigious journals such as Environmental Science & Technology, European Journal of Operational Research and Journal of Membrane Science.

In The Last Decade

Co-authorship network of co-authors of Guanghui Lan i

Fields of papers citing papers by Guanghui Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guanghui Lan. 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 Guanghui Lan. The network helps show where Guanghui Lan may publish in the future.

Countries citing papers authored by Guanghui Lan

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025