Xin Luo

417 papers receiving 12.2k citations

Xin Luo's Hit Papers

Link-Based Attributed Graph Clustering via Approximate Generative Bayesian Learning 2025 · 27 citations
270+4+8Years since publication100200300400500

Peers

Xin Luo
Comparison fields: 5 of 199
  • Computational Mathematics 730
  • Computer Vision and Pattern Recognition 3.1k
  • Information Systems 3.1k
  • Artificial Intelligence 3.8k
  • Control and Systems Engineering 2.1k
Replace Shengli Xie with:
Shengli Xie China
Kenli Li China
Shuai Li China
Xiaofei He China
Deng Cai China
Xinwang Liu China
James Bailey Australia
Heng Huang United States
Yun Fu United States
Feiping Nie China
Xin Luo relative to Shengli Xie China Shengli Xie's profile →
Citations per field
00.5×1.6×
Shengli Xie · 1×
Citations per year

Countries citing papers authored by Xin Luo

Since Specialization
Citations

This map shows the geographic impact of Xin Luo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xin Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Luo more than expected).

Fields of papers citing papers by Xin Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin Luo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xin Luo. The network helps show where Xin Luo may publish in the future.

Co-authors

The 25 scholars most cited alongside Xin Luo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xin Luo Line = papers co-authored together Xin Luo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 460 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems
Hit paper breakdown →
2014500
2
Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks
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2017298
3
A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method
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2015269
4
An overview of calibration technology of industrial robots
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2021251
5
Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors
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2019232
6
Generating Highly Accurate Predictions for Missing QoS Data via Aggregating Nonnegative Latent Factor Models
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2015220
7 2019219
8 2020207
9 2017197
10 2018167
11 2017160
12 2011158
13 2020154
14 2021149
15 2019142
16 2018139
17 2019137
18 2016135
19 2019128
20 2021127

About Xin Luo

Xin Luo is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Molecular Biology, having authored 460 papers that have together received 12.3k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (89 papers), Face and Expression Recognition (67 papers), Advanced Graph Neural Networks (37 papers), Tensor decomposition and applications (31 papers), Complex Network Analysis Techniques (30 papers), Robotic Mechanisms and Dynamics (21 papers), Image Retrieval and Classification Techniques (20 papers) and Caching and Content Delivery (19 papers). The work is most often cited by research in Computational Mathematics (730 citations), Computer Vision and Pattern Recognition (3.1k citations), Information Systems (3.1k citations), Artificial Intelligence (3.8k citations) and Control and Systems Engineering (2.1k citations). Xin Luo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include MengChu Zhou, Shuai Li, Yunni Xia, Mingsheng Shang, Qingsheng Zhu, Long Jin, Di Wu, Zidong Wang, Zhigang Liu and Zhu‐Hong You. Their work appears in journals such as IEEE/CAA Journal of Automatica Sinica, IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Informatics and Neurocomputing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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