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 Xin Luo sits on this spectrum.
This scientist: 336 publications — 80th percentile
80% 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 Xin Luo sits on this spectrum.
This scientist: 73 D-Index — 89th percentile
89% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Xin Luo is affiliated with the Chinese Academy of Sciences in China and focuses on research in the fields of Computer Science and Engineering. The scientist has contributed extensively to various subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Molecular Biology, and Information Systems.
Their research encompasses several main topics such as Face and Expression Recognition, Recommender Systems and Techniques, Advanced Graph Neural Networks, Tensor Decomposition and Applications, Complex Network Analysis Techniques, Robotic Mechanisms and Dynamics, and Robot Manipulation and Learning.
Xin Luo has published numerous papers with notable recent works including:
Frequent coauthors of Xin Luo include MengChu Zhou, Long Jin, Ye Yuan, Shuai Li, and Zhibin Li. Their collaborative efforts have led to a substantial body of work characterized by interdisciplinary applications.
The scientist frequently publishes in venues such as arXiv (Cornell University), IEEE/CAA Journal of Automatica Sinica, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Systems Man and Cybernetics Systems, and SSRN Electronic Journal.
Xin Luo has contributed to book publications with Springer Nature, authoring titles including Dynamic Network Representation Based on Latent Factorization of Tensors (2023), Robot Control and Calibration (2023), and Latent Factor Analysis for High-dimensional and Sparse Matrices (2022).
Xin Luo;Mengchu Zhou;Yunni Xia;Qingsheng Zhu
Long Jin;Shuai Li;Hung Manh La;Xin Luo
Zhibin Li;Shuai Li;Xin Luo
Xin Luo;MengChu Zhou;Shuai Li;Zhuhong You
Xin Luo;Hao Wu;Huaqiang Yuan;MengChu Zhou
Ameer Hamza Khan;Shuai Li;Xin Luo
Xin Luo;MengChu Zhou;Yunni Xia;Qingsheng Zhu
Xin Luo;Ye Yuan;Sili Chen;Nianyin Zeng
Xin Luo;MengChu Zhou;Shuai Li;YunNi Xia
Xin Luo;Yunni Xia;Qingsheng Zhu
Long Jin;Shuai Li;Xin Luo;Yangming Li
Xin Luo;MengChu Zhou;Shuai Li;MingSheng Shang
Di Wu;Xin Luo;Mingsheng Shang;Yi He
Yu-An Huang;Zhu-Hong You;Xing Chen;Keith C. C. Chan
Shuai Li;MengChu Zhou;Xin Luo
Di Wu;Xin Luo;Mingsheng Shang;Yi He
Huiyan Lu;Long Jin;Xin Luo;Bolin Liao
Xin Luo;Jianpei Sun;Zidong Wang;Shuai Li
Xin Luo;Zhigang Liu;Shuai Li;Mingsheng Shang
Xin Luo;Dexian Wang;MengChu Zhou;Huaqiang Yuan
Xin Luo;Wen Qin;Ani Dong;Khaled Sedraoui
Xin Luo;MengChu Zhou;Shuai Li;Di Wu
Di Wu;Yi He;Xin Luo;Meng Chu Zhou
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