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 Lianli Gao sits on this spectrum.
This scientist: 227 publications — 56th percentile
56% 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 Lianli Gao sits on this spectrum.
This scientist: 49 D-Index — 60th percentile
60% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Lianli Gao is a researcher affiliated with the University of Electronic Science and Technology of China. Their primary field of study is Computer Science, with a specialized focus on Computer Vision and Pattern Recognition, Artificial Intelligence, and Signal Processing. They have contributed extensively to advanced topics within these fields, including Multimodal Machine Learning Applications and Advanced Image and Video Retrieval Techniques.
Their research portfolio contains a significant number of publications, particularly in notable venues such as arXiv (Cornell University), IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, and the journal Pattern Recognition.
Frequent coauthors collaborating with Lianli Gao include Jingkuan Song, Heng Tao Shen, Pengpeng Zeng, Xinyu Lyu, and Yuan-Fang Li, reflecting a broad network of scientific partnerships.
Some of their recent publications are:
Their research encompasses multiple subfields, including Human Pose and Action Recognition, Anomaly Detection Techniques and Applications, Advanced Neural Network Applications, and Adversarial Robustness in Machine Learning. These areas indicate a focus not only on image and video analysis but also on machine learning robustness and applications to broader vision tasks.
Lianli Gao;Zhao Guo;Hanwang Zhang;Xing Xu
Lianli Gao;Xiaosu Zhu;Jingkuan Song;Zhou Zhao
Xuanhan Wang;Lianli Gao;Jingkuan Song;Heng Tao Shen
Jingkuan Song;Hanwang Zhang;Xiangpeng Li;Lianli Gao
Peng Wang;Qi Wu;Jiewei Cao;Chunhua Shen
Xuanhan Wang;Lianli Gao;Peng Wang;Xiaoshuai Sun
Jingkuan Song;Yuyu Guo;Lianli Gao;Xuelong Li
Xiangpeng Li;Jingkuan Song;Lianli Gao;Xianglong Liu
Jingkuan Song;Lianli Gao;Li Liu;Xiaofeng Zhu
Lianli Gao;Xiangpeng Li;Jingkuan Song;Heng Tao Shen
Xing Xu;Li He;Huimin Lu;Lianli Gao
Jingkuan Song;Lianli Gao;Zhao Guo;Wu Liu
Owen R. Bidder;Hamish A. Campbell;Agustina Gómez-Laich;Patricia Urgé
Lei Wang;Dongxiang Zhang;Jipeng Zhang;Xing Xu
Lianli Gao;Jingkuan Song;Xingyi Liu;Junming Shao
Jingkuan Song;Lianli Gao;Feiping Nie;Heng Tao Shen
Lei Wang;Dongxiang Zhang;Lianli Gao;Jingkuan Song
Jingkuan Song;Tao He;Lianli Gao;Xing Xu
Liang Chen;Yang Liu;Xiangnan He;Lianli Gao
Lianli Gao;Qilong Zhang;Jingkuan Song;Xianglong Liu
Jingkuan Song;Zhao Guo;Lianli Gao;Wu Liu
Jingkuan Song;Xiangpeng Li;Lianli Gao;Heng Tao Shen
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