Changcheng Institute of Metrology & Measurement
Impact in
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- Scientific Measurement and Uncertainty Evaluation
Papers in
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- Scientific Measurement and Uncertainty Evaluation 37
- Top scholars
- Yongqian LiYinming ZhaoQun HaoYang LiuXian‐Da ZhangZhongyu WangChenchen WangJie Cheng
- Journals
- Measurement (17 papers)Measurement Science and Technology (12 papers)Applied Sciences (8 papers)IEEE Sensors Journal (8 papers)IEEE Transactions on Instrumentation and Measurement (6 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Changcheng Institute of Metrology & Measurement
243 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 83
- Statistics, Probability and Uncertainty 120
- Instrumentation 24
- Control and Systems Engineering 207
- Computational Mechanics 177
- Computer Networks and Communications 150
Countries citing scholars working at Changcheng Institute of Metrology & Measurement
This map shows the geographic impact of research produced by authors working at Changcheng Institute of Metrology & Measurement. 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 Changcheng Institute of Metrology & Measurement with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changcheng Institute of Metrology & Measurement more than expected).
Fields of papers published by authors at Changcheng Institute of Metrology & Measurement
This network shows the impact of papers affiliated with Changcheng Institute of Metrology & Measurement 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 Changcheng Institute of Metrology & Measurement at the time of their publication.
About Changcheng Institute of Metrology & Measurement
In recent decades, authors affiliated with Changcheng Institute of Metrology & Measurement have published 304 papers, which have received a total of 1.6k indexed citations . Scholars at this organization have produced 37 papers in Statistics, Probability and Uncertainty, 8 papers in Instrumentation, 61 papers in Mechanical Engineering, 36 papers in Aerospace Engineering and 30 papers in Computer Networks and Communications on the topics of Advanced Measurement and Metrology Techniques (46 papers), Scientific Measurement and Uncertainty Evaluation (37 papers), Sensor Technology and Measurement Systems (28 papers), Advanced Sensor Technologies Research (27 papers), Advanced Fiber Optic Sensors (24 papers), Inertial Sensor and Navigation (22 papers), Optical measurement and interference techniques (19 papers) and Advanced Fiber Laser Technologies (16 papers). Their work is cited by papers focused on Statistics, Probability and Uncertainty (120 citations), Instrumentation (24 citations), Control and Systems Engineering (207 citations), Computational Mechanics (177 citations) and Computer Networks and Communications (150 citations). Authors at Changcheng Institute of Metrology & Measurement collaborate with scholars in China, United States and United Kingdom and have published in prestigious journals including Measurement, Measurement Science and Technology, Applied Sciences, IEEE Sensors Journal and IEEE Transactions on Instrumentation and Measurement. Some of Changcheng Institute of Metrology & Measurement's most productive authors include Yongqian Li, Yinming Zhao, Qun Hao, Yang Liu, Xian‐Da Zhang, Zhongyu Wang, Chenchen Wang, Zhongyu Wang, Jie Cheng and Hao Song.
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.