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 Xiangyang Ji sits on this spectrum.
This scientist: 230 publications — 57th percentile
57% 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 Xiangyang Ji sits on this spectrum.
This scientist: 42 D-Index — 43rd percentile
43% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Xiangyang Ji is affiliated with Tsinghua University in China, contributing extensively to research in computer science and engineering. Their work spans various specialized fields, particularly focusing on computer vision, artificial intelligence, and control and systems engineering.
Their research outputs include publications in diverse areas such as domain adaptation and few-shot learning, advanced vision and imaging, and neural network applications. Other areas of focus include robot manipulation and learning, human pose and action recognition, robotics and sensor-based localization, and reinforcement learning in robotics.
Some of Xiangyang Ji's notable recent papers are:
Their frequent co-authors include:
Xiangyang Ji has published extensively in several venues, with a high volume of publications at arXiv (Cornell University). Other key publication venues include the Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Circuits and Systems for Video Technology, and IEEE Transactions on Neural Networks and Learning Systems.
Their contribution to the scientific community is spanning over 500 publications, reflecting a focus on core topics such as:
Xiangyang Ji's scholarly focus is situated predominantly in computer science and engineering, with particular attention to subfields involving pattern recognition, artificial intelligence, and biomedical engineering applications. Their extensive collaborative network and publication record demonstrate engagement with multiple facets of contemporary research challenges in vision and robotics.
Yi Li;Haozhi Qi;Jifeng Dai;Xiangyang Ji
Unknown
Hongmin Li;Hanchao Liu;Xiangyang Ji;Guoqi Li
Gu Wang;Fabian Manhardt;Federico Tombari;Xiangyang Ji
Fang Wan;Chang Liu;Wei Ke;Xiangyang Ji
Xiaosong Zhang;Fang Wan;Chang Liu;Xiangyang Ji
Unknown
Zonghao Guo;Chang Liu;Xiaosong Zhang;Jianbin Jiao
Unknown
Zhenyu Liu;Xianyu Yu;Yuan Gao;Shaolin Chen
Haolan Xue;Chang Liu;Fang Wan;Jianbin Jiao
Unknown
Yongbing Zhang;Tao Shen;Xiangyang Ji;Yun Zhang
Xiaocong Lian;Zhenyu Liu;Zhourui Song;Jiwu Dai
Tianning Yuan;Fang Wan;Mengying Fu;Jianzhuang Liu
Genzhi Ye;Yebin Liu;Nils Hasler;Xiangyang Ji
Xinghao Chen;Guijin Wang;Cairong Zhang;Tae-Kyun Kim
Jingyu Lin;Xiangyang Ji;Wenli Xu;Qionghai Dai
Unknown
Ji Xiangyang;Gao Wen;Zhao Debin
Jinli Suo;Dongsheng An;Xiangyang Ji;Haoqian Wang
Wen Gao;Junhao Zheng;Siwei Ma;Xiangyang Ji
Yongbing Zhang;Lulu Sun;Chenggang Yan;Xiangyang Ji
Yongbing Zhang;Debin Zhao;Xiangyang Ji;Ronggang Wang
Da Liu;Debin Zhao;Xiangyang Ji;Wen Gao
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