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 Qinru Qiu sits on this spectrum.
This scientist: 191 publications — 43rd percentile
43% 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 Qinru Qiu sits on this spectrum.
This scientist: 44 D-Index — 48th percentile
48% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Qinru Qiu is affiliated with Syracuse University in the United States. Their research spans multiple fields primarily within computer science and engineering, with significant contributions to subfields such as computer vision and pattern recognition, artificial intelligence, electrical and electronic engineering, cognitive neuroscience, and aerospace engineering.
The core topics of Qinru Qiu's work include advanced memory and neural computing, neural dynamics and brain function, neural networks and reservoir computing, advanced image and video retrieval techniques, multimodal machine learning applications, photoreceptor and optogenetics research, and robotic path planning algorithms.
Qiu has published extensively, with notable papers including:
Their frequent coauthors include Haowen Fang, Amar Shrestha, Zaidao Mei, Daniel Patrick Rider, and Simon Khan. These collaborations have contributed to the breadth of Qiu's research output.
Qiu's publications have appeared in various academic venues, with a significant number of works published through arXiv (Cornell University). Other frequent publication venues include IEEE Circuits and Systems Magazine, Energies, ACM Journal on Emerging Technologies in Computing Systems, and iScience.
Their work in computer science and engineering is recognized also through an ACM Senior Member award received in 2019. Their research outputs reflect interdisciplinary approaches covering both fundamental and applied topics across neural computing technologies, machine learning, and advanced materials for computational devices.
Qinru Qiu;Massoud Pedram
Zhongrui Wang;Can Li;Wenhao Song;Mingyi Rao
Ning Liu;Zhe Li;Jielong Xu;Zhiyuan Xu
Zhongrui Wang;Can Li;Can Li;Peng Lin;Mingyi Rao
Zhongrui Wang;Mingyi Rao;Jin Woo Han;Jiaming Zhang
Caiwen Ding;Siyu Liao;Yanzhi Wang;Zhe Li
Shuo Wang;Zhe Li;Caiwen Ding;Bo Yuan
Q. Qiu;Q. Qu;M. Pedram
Caiwen Ding;Siyu Liao;Yanzhi Wang;Zhe Li
Ao Ren;Zhe Li;Caiwen Ding;Qinru Qiu
Ying Tan;Wei Liu;Qinru Qiu
Yang Ge;Parth Malani;Qinru Qiu
Qing Wu;Qinru Qiu;M. Pedram;Chih-Shun Ding
Yang Ge;Yukan Zhang;Qinru Qiu;Yung-Hsiang Lu
Shaobo Liu;Jun Lu;Qing Wu;Qinru Qiu
Shaobo Liu;Qinru Qiu;Qing Wu
Hao Shen;Ying Tan;Jun Lu;Qing Wu
Sicheng Li;Chunpeng Wu;Hai Li;Boxun Li
Qinru Qiu;Qing Wu;Massoud Pedram
Shaobo Liu;Qing Wu;Qinru Qiu
Haowen Fang;Amar Shrestha;Ziyi Zhao;Qinru Qiu
Ao Ren;Ji Li;Zhe Li;Caiwen Ding
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