Xiaolei Liu

937 total citations
63 papers, 595 citations indexed

About

Xiaolei Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Xiaolei Liu has authored 63 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 14 papers in Signal Processing. Recurrent topics in Xiaolei Liu's work include Adversarial Robustness in Machine Learning (17 papers), Anomaly Detection Techniques and Applications (10 papers) and Network Security and Intrusion Detection (9 papers). Xiaolei Liu is often cited by papers focused on Adversarial Robustness in Machine Learning (17 papers), Anomaly Detection Techniques and Applications (10 papers) and Network Security and Intrusion Detection (9 papers). Xiaolei Liu collaborates with scholars based in China, United States and United Kingdom. Xiaolei Liu's co-authors include Xiaosong Zhang, Teng Hu, Weina Niu, Jiazhong Lu, Qingxin Zhu, Ting Chen, Xiaojiang Du, Kun Zhou, Xiaoming Huang and Mohsen Guizani and has published in prestigious journals such as Chemical Engineering Journal, Sensors and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Xiaolei Liu

54 papers receiving 566 citations

Peers

Xiaolei Liu
Comparison fields: 5 of 76
  • Artificial Intelligence 235
  • Information Systems 220
  • Computer Networks and Communications 172
  • Signal Processing 134
  • Computer Vision and Pattern Recognition 128
Replace Shishir Kumar Shandilya with:
Shishir Kumar Shandilya India
Kazuhiko Kato Japan
Wenjia Niu China
Ayoub Alsarhan Jordan
Udayan Khurana United States
Qi Liao United States
Ling Xu China
Jiawei Shao China
Ferhat Özgür Çatak Norway
Shishir Kumar Shandilya India View profile →
Citations per field, relative to Xiaolei Liu
Xiaolei Liu · 1×
Citations per year, relative to Xiaolei Liu
Xiaolei Liu · 1×

Countries citing papers authored by Xiaolei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolei Liu. A scholar is included among the top collaborators of Xiaolei Liu 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 Xiaolei Liu. Xiaolei Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 6
5 7
6 1
7 4
8 2
9 3
10 0
11 5
12 5
13 1
14 3
15 3
16 153
17 2
18 9
19
Fault diagnosis of elevator control system based on information fusion
1
20
PID Control Algorithm Based on Improved BP Neural Network
1

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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