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 Yuhong Guo sits on this spectrum.
This scientist: 115 publications — 13th percentile
13% 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 Yuhong Guo sits on this spectrum.
This scientist: 32 D-Index — 10th percentile
10% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Yuhong Guo is affiliated with Carleton University in Canada and specializes in Computer Science with a significant focus on Artificial Intelligence. Their research encompasses several subfields, including Computer Vision and Pattern Recognition, Geophysics, Radiology, Nuclear Medicine and Imaging, and Information Systems.
The scientist's work covers several main topics, reflecting a broad scope of interests and applications. These topics include:
Yuhong Guo has contributed to various publication venues with a notable number of publications in arXiv (Cornell University) and the Proceedings of the AAAI Conference on Artificial Intelligence. Other venues include the Proceedings of the IEEE, Communications Earth & Environment, and Geological Society of America Bulletin.
Recent papers authored or co-authored by Yuhong Guo exemplify the diversity and interdisciplinary nature of their research. Selected works include:
Throughout their career, Yuhong Guo has worked with various frequent co-authors, including Jieping Ye, Abdullah Alchihabi, Marzi Heidari, Zhao Zhen, and Yan Yan. Collaborations with these researchers reflect ongoing partnerships primarily within the fields of artificial intelligence and machine learning.
The volume and range of Yuhong Guo's publications indicate sustained engagement in advancing methodologies in AI, particularly in domain adaptation, classification technologies, and multimodal learning. Their interdisciplinary reach extends into geophysics and medical imaging, suggesting a wide-ranging application of machine learning techniques.
Predrag Radivojac;Wyatt T Clark;Tal Ronnen Oron;Alexandra M Schnoes
Zhengxia Zou;Zhenwei Shi;Yuhong Guo;Jieping Ye
Yuhong Guo;Dale Schuurmans
Xin Li;Yuhong Guo
Yuhong Guo;Suicheng Gu
Yuhong Guo;Russ Greiner
Yuhong Guo
Zengmao Wang;Bo Du;Yuhong Guo
Min Xiao;Yuhong Guo
Meng Ye;Yuhong Guo
Xin Li;Yuhong Guo;Dale Schuurmans
Yuhong Guo
Xin Li;Yuhong Guo
He Zhao;Huiqi Li;Sebastian Maurer-Stroh;Yuhong Guo
Xin Li;Feipeng Zhao;Yuhong Guo
Liang Lan;Nemanja Djuric;Yuhong Guo;Slobodan Vucetic
Min Xiao;Yuhong Guo
Kongming Liang;Yuhong Guo;Hong Chang;Xilin Chen
Meng Ye;Yuhong Guo
Fei Huang;Arun Ahuja;Doug Downey;Yi Yang
Yuhong Guo;Min Xiao
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