Beijing Institute of Big Data Research

56.6k citations
3.2k papers ·

Impact in

Papers in

Beijing Institute of Big Data Research

2.6k papers receiving 53.9k citations

Peers

Beijing Institute of Big Data Research
Comparison fields: 5 of 238
  • Computer Vision and Pattern Recognition 9.6k
  • Artificial Intelligence 14.9k
  • Statistical and Nonlinear Physics 3.5k
  • Environmental Engineering 3.5k
  • Media Technology 2.2k
Replace Ministry of Industry and Information Technology with:
Ministry of Industry and Information Technology China
Beijing Information Science & Technology University China
Civil Aviation University of China China
Jingdong (China) China
North China University of Technology China
Central University of Finance and Economics China
Shandong University of Finance and Economics China
Beijing Academy of Artificial Intelligence China
Taiyuan University of Science and Technology China
Beijing University of Civil Engineering and Architecture China
Beijing Institute of Big Data Research relative to Ministry of Industry and Information Technology China Ministry of Industry and Information Technology's profile →
Citations per field
00.5×1.5×
Ministry of Industry and Information Technology · 1×
Citations per year

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).

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.

About Beijing Institute of Big Data Research

In recent decades, authors affiliated with Beijing Institute of Big Data Research have published 3.2k papers, which have received a total of 56.6k indexed citations . Scholars at this organization have produced 479 papers in Computer Vision and Pattern Recognition, 761 papers in Artificial Intelligence, 455 papers in Global and Planetary Change, 266 papers in Environmental Engineering and 114 papers in Transportation on the topics of Remote Sensing in Agriculture (176 papers), Topic Modeling (169 papers), Land Use and Ecosystem Services (164 papers), Remote-Sensing Image Classification (112 papers), Remote Sensing and Land Use (103 papers), Advanced Image and Video Retrieval Techniques (99 papers), Remote Sensing and LiDAR Applications (94 papers) and Natural Language Processing Techniques (93 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (9.6k citations), Artificial Intelligence (14.9k citations), Statistical and Nonlinear Physics (3.5k citations), Environmental Engineering (3.5k citations) and Media Technology (2.2k 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 Remote Sensing, International Journal of Digital Earth, Sustainability, Remote Sensing of Environment and International Journal of Applied Earth Observation and Geoinformation. Some of Beijing Institute of Big Data Research's most productive authors include E Weinan, Yingjie Tian, Jiequn Han, Linfeng Zhang, Dongkuan Xu, Yong Shi, Ji-Rong Wen, Arnulf Jentzen, Qingming Huang and Bing Yu.

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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