The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Quan Pan sits on this spectrum.
This scientist: 428 publications — 89th percentile
89% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Quan Pan sits on this spectrum.
This scientist: 55 D-Index — 71st percentile
71% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Quan Pan is affiliated with Northwestern Polytechnical University in China and has an extensive publication record in computer science and engineering. Their research spans multiple subfields, including artificial intelligence, aerospace engineering, computer networks and communications, control and systems engineering, and computer vision and pattern recognition.
Pan's main research topics include target tracking and data fusion in sensor networks, distributed control of multi-agent systems, radar systems and signal processing, smart grid security and resilience, distributed sensor networks and detection algorithms, advanced synthetic aperture radar (SAR) imaging techniques, and adversarial robustness in machine learning.
Frequent coauthors of Pan include:
Pan's work is published regularly in several notable venues. The most frequent publication outlets include:
Some recent publications illustrate the diversity and focus of their research. These include:
Pan's research contributions address theoretical developments as well as practical algorithms in control systems, multi-agent coordination, and sensor data processing. The work on distributed multi-agent systems and sensor network fusion reflects a strong interdisciplinary approach combining elements of control engineering, artificial intelligence, and signal processing.
The extensive publication history and collaborations highlight Pan's engagement with key topics that are pertinent to advancing technologies in autonomous systems, intelligent vehicles, and resilient sensor networks. Their research has been disseminated predominantly through scientific journals and conferences well-regarded within the engineering and computer science communities.
Shenlong Wang;Lei Zhang;Yan Liang;Quan Pan
Quan Pan;Lei Zhang;Guanzhong Dai;Hongai Zhang
Tao Yang;Quan Pan;Jing Li;S.Z. Li
Zhun-Ga Liu;Quan Pan;Jean Dezert;Arnaud Martin
Zhunga Liu;Quan Pan;Jean Dezert;Jun-Wei Han
Zhunga Liu;Gang Li;Gregoire Mercier;You He
Zhun-ga Liu;Quan Pan;Jean Dezert;Arnaud Martin
Zhun-Ga Liu;Quan Pan;Jean Dezert
Shao-Wu Zhang;Yun-Long Zhang;Hui-Fang Yang;Chun-Hui Zhao
Junkang Ni;Peng Shi;Yu Zhao;Quan Pan
Yang Li;Quan Pan;Suhang Wang;Tao Yang
Zhun-ga Liu;Jean Dezert;Quan Pan;Grégoire Mercier
Jin-wen Hu;Bo-yin Zheng;Ce Wang;Chun-hui Zhao
Yang Li;Quan Pan;Tao Yang;Suhang Wang
Dong Wang;Quan Pan;Yang Shi;Jinwen Hu
Wei Di;Lei Zhang;David Zhang;Quan Pan
Zhun-ga Liu;Quan Pan;Jean Dezert;Grégoire Mercier
Yan Liang;Tongwen Chen;Quan Pan
J.-Y. Shi;S.-W. Zhang;Q. Pan;Y.-M. Cheng
Yan Liang;Tongwen Chen;Quan Pan
Yongqiang Zhao;Jinxiang Yang;Qingyong Zhang;Lin Song
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