Qingdao Academy of Intelligent Industries

17.0k citations
957 papers ·

Impact in

Papers in

Qingdao Academy of Intelligent Industries

753 papers receiving 16.4k citations

Peers

Qingdao Academy of Intelligent Industries
Comparison fields: 5 of 219
  • Transportation 1.0k
  • Automotive Engineering 1.7k
  • Information Systems 3.1k
  • Industrial and Manufacturing Engineering 1.2k
  • Building and Construction 1.6k
Replace Beijing Wuzi University with:
Beijing Wuzi University China
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China People's Public Security University China
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Hansung University South Korea
State Key Laboratory of Synthetical Automation for Process Industries China
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Qingdao Academy of Intelligent Industries relative to Beijing Wuzi University China Beijing Wuzi University's profile →
Citations per field
00.5×2.8×
Beijing Wuzi University · 1×
Citations per year

Countries citing scholars working at Qingdao Academy of Intelligent Industries

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Qingdao Academy of Intelligent Industries. 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 Qingdao Academy of Intelligent Industries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingdao Academy of Intelligent Industries more than expected).

Fields of papers published by authors at Qingdao Academy of Intelligent Industries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Qingdao Academy of Intelligent Industries 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 Qingdao Academy of Intelligent Industries at the time of their publication.

About Qingdao Academy of Intelligent Industries

In recent decades, authors affiliated with Qingdao Academy of Intelligent Industries have published 957 papers, which have received a total of 17.0k indexed citations . Scholars at this organization have produced 82 papers in Automotive Engineering, 63 papers in Industrial and Manufacturing Engineering, 114 papers in Computer Vision and Pattern Recognition, 33 papers in Transportation and 113 papers in Control and Systems Engineering on the topics of Blockchain Technology Applications and Security (42 papers), Traffic Prediction and Management Techniques (40 papers), Advanced Neural Network Applications (37 papers), Traffic control and management (33 papers), Autonomous Vehicle Technology and Safety (28 papers), Transportation Planning and Optimization (25 papers), Video Surveillance and Tracking Methods (25 papers) and Additive Manufacturing and 3D Printing Technologies (25 papers). Their work is cited by papers focused on Transportation (1.0k citations), Automotive Engineering (1.7k citations), Information Systems (3.1k citations), Industrial and Manufacturing Engineering (1.2k citations) and Building and Construction (1.6k citations). Authors at Qingdao Academy of Intelligent Industries collaborate with scholars in China, United States and Macao and have published in prestigious journals including IEEE Transactions on Computational Social Systems, IEEE Transactions on Intelligent Transportation Systems, IEEE/CAA Journal of Automatica Sinica, IEEE Transactions on Systems Man and Cybernetics Systems and Scientific Reports. Some of Qingdao Academy of Intelligent Industries's most productive authors include Fei–Yue Wang, Yong Yuan, Xiao Wang, Shuai Wang, Kunfeng Wang, Qinglai Wei, Chao Gou, Yisheng Lv, Gang Xiong and Liwei Ouyang.

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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