Shenyang Institute of Automation

84.8k citations
6.6k papers ·

Impact in

Papers in

Shenyang Institute of Automation

6k papers receiving 84.8k citations

Peers

Shenyang Institute of Automation
Comparison fields: 5 of 224
  • Control and Systems Engineering 13.2k
  • Computational Mathematics 300
  • Computer Vision and Pattern Recognition 10.8k
  • Biomedical Engineering 12.1k
  • Ocean Engineering 4.3k
Replace State Key Laboratory of Robotics with:
State Key Laboratory of Robotics
Shenyang Aerospace University China
Samsung Electronics (South Korea) South Korea
Ministry of Industry and Information Technology China
Dalian Maritime University China
State Key Laboratory of Synthetical Automation for Process Industries
LG (South Korea) South Korea
Northeast Electric Power University China
Electronics and Telecommunications Research Institute South Korea
Changchun Institute of Optics, Fine Mechanics and Physics China
Shenyang Institute of Automation relative to State Key Laboratory of Robotics State Key Laboratory of Robotics's profile →
Citations per field
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Citations per year

Countries citing scholars working at Shenyang Institute of Automation

Since Specialization
Citations

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

Fields of papers published by authors at Shenyang Institute of Automation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Shenyang Institute of Automation 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 Shenyang Institute of Automation at the time of their publication.

About Shenyang Institute of Automation

In recent decades, authors affiliated with Shenyang Institute of Automation have published 6.6k papers, which have received a total of 84.8k indexed citations . Scholars at this organization have produced 1.4k papers in Control and Systems Engineering, 1k papers in Computer Vision and Pattern Recognition, 544 papers in Ocean Engineering, 327 papers in Industrial and Manufacturing Engineering and 20 papers in Computational Mathematics on the topics of Underwater Vehicles and Communication Systems (438 papers), Robotic Mechanisms and Dynamics (322 papers), Force Microscopy Techniques and Applications (210 papers), Soft Robotics and Applications (198 papers), Advanced Neural Network Applications (169 papers), Robotic Path Planning Algorithms (155 papers), Control and Dynamics of Mobile Robots (148 papers) and Robotics and Sensor-Based Localization (147 papers). Their work is cited by papers focused on Control and Systems Engineering (13.2k citations), Computational Mathematics (300 citations), Computer Vision and Pattern Recognition (10.8k citations), Biomedical Engineering (12.1k citations) and Ocean Engineering (4.3k citations). Authors at Shenyang Institute of Automation collaborate with scholars in China, United States and Hong Kong and have published in prestigious journals including Sensors, Ocean Engineering, IEEE Access, IEEE Sensors Journal and Applied Sciences. Some of Shenyang Institute of Automation's most productive authors include Lianqing Liu, Jianda Han, Jinguo Liu, Haibin Yu, Peng Fei Zeng, Xingang Zhao, Yang Cong, Yuechao Wang, Shugen Ma and Wei Ge Liang.

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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