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 Yuanqing Xia sits on this spectrum.
This scientist: 851 publications — 99th percentile
99% 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 Yuanqing Xia sits on this spectrum.
This scientist: 98 D-Index — 98th percentile
98% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 93 D-Index or more.
Yuanqing Xia is affiliated with the Beijing Institute of Technology in China and has an extensive publication record across engineering and computer science domains. Their research focuses particularly on control and systems engineering, computer networks and communications, as well as artificial intelligence and aerospace engineering.
The main topics covered in Xia's work include:
Xia has authored numerous papers, with notable recent works that include:
The frequent co-authors collaborating with Xia include Di-Hua Zhai, Li Dai, Jinhui Zhang, Zhongqi Sun, and Senchun Chai. These collaborations highlight connections across multidisciplinary teams within related technical areas.
Xia's research is frequently disseminated in several key academic venues, such as:
In addition to journal articles, Xia has contributed to book literature, including a publication titled Pneumatic Servo Systems Analysis (2022) with Springer Nature as the publisher.
The body of work presented by Xia demonstrates an integration of theoretical control systems with practical applications in autonomous vehicle guidance, spacecraft attitude tracking, and multi-agent system coordination. Their publication output reflects significant engagement with evolving methodologies in deep learning, adaptive control, and robust optimization techniques relevant to engineering and aerospace challenges.
Zheng Zhu;Yuanqing Xia;Mengyin Fu
Peng Shi;Yuanqing Xia;G.P. Liu;D. Rees
Kunfeng Lu;Yuanqing Xia
Guo-Ping Liu;Yuanqing Xia;Jie Chen;D. Rees
Yuanqing Xia;Zheng Zhu;Mengyin Fu;Shuo Wang
Zheng Zhu;Yuanqing Xia;Mengyin Fu
Haomiao Zhou;Zhihong Deng;Yuanqing Xia;Mengyin Fu
Yuanqing Xia;El-Kebir Boukas;Peng Shi;Jinhui Zhang
Yuanqing Xia;Yingmin Jia
Zhao-Jing Wu;Xue-Jun Xie;Peng Shi;Yuan-qing Xia
Yueying Wang;Yuanqing Xia;Hao Shen;Pingfang Zhou
Jinhui Zhang;Peng Shi;Yuanqing Xia
Guo-Ping Liu;Yuanqing Xia;D. Rees;W. Hu
Kun Liu;Alexandre Seuret;Yuanqing Xia
Y Xia;Peng Shi;G. P Liu;D Rees
Yuanqing Xia;Jinhui Zhang;El-Kebir Boukas
Guanghui Wen;Wenwu Yu;Yuanqing Xia;Xinghuo Yu
Jie Li;Yuanqing Xia;Xiaohui Qi;Zhiqiang Gao
Hongjiu Yang;Lei Cheng;Yuanqing Xia;Yuan Yuan
Y. Xia;Z. Zhu;M. Fu
Runqi Chai;Antonios Tsourdos;Al Savvaris;Senchun Chai
Zheng Zhu;Dong Xu;Jingmeng Liu;Yuanqing Xia
Gaomin Zhang;Yuanqing Xia;Peng Shi
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