Xiaoyu Xing

404 total citations
7 papers, 121 citations indexed

About

Xiaoyu Xing is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Xiaoyu Xing has authored 7 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Xiaoyu Xing's work include Topic Modeling (2 papers), Planetary Science and Exploration (1 paper) and Neural Networks and Applications (1 paper). Xiaoyu Xing is often cited by papers focused on Topic Modeling (2 papers), Planetary Science and Exploration (1 paper) and Neural Networks and Applications (1 paper). Xiaoyu Xing collaborates with scholars based in China, United States and Germany. Xiaoyu Xing's co-authors include Qi Zhang, Minlong Peng, Tao Gui, Xuanjing Huang, Yu–Gang Jiang, Zhigang Chen, Zhijing Jin, Bingning Wang, Xuanjing Huang and Di Jin and has published in prestigious journals such as Journal of Medicinal Chemistry, Sensors and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Xiaoyu Xing

7 papers receiving 120 citations

Peers

Xiaoyu Xing
Comparison fields: 5 of 42
  • Artificial Intelligence 100
  • Electrical and Electronic Engineering 24
  • Computer Vision and Pattern Recognition 17
  • Health Information Management 12
  • Information Systems 12
Replace Mohamed Farouk Abdel Hady with:
Mohamed Farouk Abdel Hady Germany
Derek Chen United States
Yaowei Zheng China
Xujiang Zhao United States
Gábor Danner Hungary
Kun Peng Singapore
Xavier Bonnetain France
John Mattsson Sweden
André Schrottenloher France
Meicheng Liu China
Mohamed Farouk Abdel Hady Germany View profile →
Citations per field, relative to Xiaoyu Xing
Xiaoyu Xing · 1×
Citations per year, relative to Xiaoyu Xing
Xiaoyu Xing · 1×

Countries citing papers authored by Xiaoyu Xing

Since Specialization
Citations

This map shows the geographic impact of Xiaoyu Xing'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 Xiaoyu Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyu Xing more than expected).

Fields of papers citing papers by Xiaoyu Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoyu Xing. 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 Xiaoyu Xing. The network helps show where Xiaoyu Xing may publish in the future.

Co-authorship network of co-authors of Xiaoyu Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyu Xing. A scholar is included among the top collaborators of Xiaoyu Xing based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoyu Xing. Xiaoyu Xing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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2026