Xin Luo

18.0k citations
447 papers · 11.3k indexed · 5 hit papers · h-index 61

Impact in

Papers in

Xin Luo

402 papers receiving 11.2k citations

Hit Papers

An overview of calibration technology of industrial robots 2021 · 228 citations
2282014202620182022100200300400

Peers

Xin Luo
Comparison fields: 5 of 198
  • Computational Mathematics 620
  • Computer Vision and Pattern Recognition 2.9k
  • Information Systems 2.9k
  • Artificial Intelligence 3.6k
  • Control and Systems Engineering 1.9k
Replace Shengli Xie with:
Shengli Xie China
Kenli Li China
Shuai Li China
Yong Yu China
Deng Cai China
Xiaofei He China
Volker Tresp Germany
Arthur Asuncion United States
Xinwang Liu China
Cho‐Jui Hsieh United States
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
#Work
1 20250
2 20250
3 20252
4 202514
5 20242
6 202446
7 20246
8 20243
9 20245
10 20242
11 20243
12 20244
13 20240
14 20232
15 20231
16 202312
17 20233
18 202223
19 2021143
20 202042

About Xin Luo

Xin Luo is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 447 papers that have together received 11.3k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (87 papers), Face and Expression Recognition (65 papers), Advanced Graph Neural Networks (35 papers), Complex Network Analysis Techniques (30 papers), Tensor decomposition and applications (28 papers), Robotic Mechanisms and Dynamics (21 papers), Image Retrieval and Classification Techniques (20 papers) and Caching and Content Delivery (18 papers). The work is most often cited by research in Computational Mathematics (620 citations), Computer Vision and Pattern Recognition (2.9k citations), Information Systems (2.9k citations), Artificial Intelligence (3.6k citations) and Control and Systems Engineering (1.9k 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 Hao Wu. 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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