The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Zongyu Zuo sits on this spectrum.
This scientist: 219 publications — 51st percentile
51% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 659 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Zongyu Zuo sits on this spectrum.
This scientist: 50 D-Index — 67th percentile
67% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 93 D-Index or more.
Zongyu Zuo is a researcher affiliated with Beihang University in China, specializing in engineering and computer science with significant contributions to control and systems engineering. Their research spans multiple subfields, notably control and systems engineering, computer networks and communications, aerospace engineering, electrical and electronic engineering, and computer vision and pattern recognition.
Their recent scholarly output includes work published in well-regarded venues such as IEEE/CAA Journal of Automatica Sinica, Automatica, IEEE Transactions on Automatic Control, IEEE Transactions on Aerospace and Electronic Systems, and arXiv. These venues reflect the thematic focus on control, automation, and aerospace systems within their research portfolio.
Highlighted publications by the researcher include:
Zongyu Zuo's collaborative work includes frequent partnerships with researchers such as Yao Zou, Qing-Long Han, Kewei Xia, Jiawei Song, and Guofei Li, indicating a network of ongoing academic cooperation and joint research activities.
Their research centers on several key topics within the engineering domain:
Zuo's extensive body of work advances foundational and applied aspects of control theory, especially as it relates to multi-agent systems and autonomous vehicle coordination. Their engagement with topics such as neural network stability and adaptive control methods suggests a multidisciplinary approach combining control engineering with computational intelligence techniques.
The frequency of publications in high-impact journals demonstrates active research contributions in both fundamental and applied control system domains. This profile aligns with a research trajectory focused on control methodologies for complex, uncertain, and distributed systems, as well as real-world engineering applications, particularly in aerospace and robotic platforms.
Zongyu Zuo
Zongyu Zuo;Lin Tie
Zongyu Zuo;Bailing Tian;Michael Defoort;Zhengtao Ding
Zongyu Zuo;Lin Tie
Zongyu Zuo;Qing-Long Han;Boda Ning;Xiaohua Ge
Zongyu Zuo
Z. Zuo
Unknown
Bailing Tian;Bailing Tian;Zongyu Zuo;Xiaomo Yan;Hong Wang
Boda Ning;Qing-Long Han;Zongyu Zuo
Unknown
Boda Ning;Qing-Long Han;Zongyu Zuo
Unknown
Bailing Tian;Hanchen Lu;Zongyu Zuo;Wen Yang
Bailing Tian;Lihong Liu;Hanchen Lu;Zongyu Zuo
Zongyu Zuo;Chenliang Wang
Boda Ning;Qing-Long Han;Zongyu Zuo;Jiong Jin
Boda Ning;Qing-Long Han;Zongyu Zuo
Chunyan Wang;Hilton Tnunay;Zongyu Zuo;Barry Lennox
Hao Liu;Danjun Li;Zongyu Zuo;Yisheng Zhong
Chunyan Wang;Zongyu Zuo;Zhenqiang Qi;Zhengtao Ding
Zongyu Zuo;Pengkai Ru
Chunyan Wang;Zongyu Zuo;Zongli Lin;Zhengtao Ding
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