Beijing Institute of Big Data Research

1.8k papers and 30.7k indexed citations i.

About

In recent decades, authors affiliated with Beijing Institute of Big Data Research have published 1.8k papers, which have received a total of 30.7k indexed citations. Scholars at this organization have produced 446 papers in Artificial Intelligence, 311 papers in Global and Planetary Change and 294 papers in Computer Vision and Pattern Recognition on the topics of Remote Sensing in Agriculture (131 papers), Land Use and Ecosystem Services (116 papers) and Topic Modeling (92 papers). Their work is cited by papers focused on Artificial Intelligence (7.9k citations), Computer Vision and Pattern Recognition (5.5k citations) and Materials Chemistry (3.3k citations). Authors at Beijing Institute of Big Data Research collaborate with scholars in China, United States and Hong Kong and have published in prestigious journals including New England Journal of Medicine, Proceedings of the National Academy of Sciences and Physical Review Letters. Some of Beijing Institute of Big Data Research's most productive authors include E Weinan, Jiequn Han, Linfeng Zhang, Qingming Huang, Yingjie Tian, Han Wang, Arnulf Jentzen, Yong Shi, Bing Yu and Roberto Car.

In The Last Decade

Fields of papers published by authors at Beijing Institute of Big Data Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Beijing Institute of Big Data Research at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Beijing Institute of Big Data Research at the time of their publication.

Countries citing scholars working at Beijing Institute of Big Data Research

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Beijing Institute of Big Data 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 papers produced at Beijing Institute of Big Data Research with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beijing Institute of Big Data Research 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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2025