Lixing Yu

883 citations
19 papers · 623 · h-index 12

Impact in

Papers in

Lixing Yu

18 papers receiving 608 citations

Peers

Lixing Yu
Comparison fields: 5 of 84
  • Artificial Intelligence 336
  • Computer Networks and Communications 211
  • Signal Processing 77
  • Geophysics 94
  • Transportation 35
Replace Zhiqiang Xu with:
Zhiqiang Xu China
Bin Zhou China
Xiaohui Wei China
Jianchun Liu China
Julian Bunn United States
Pian Qi Italy
Mohuya Chakraborty India
Lixing Yu relative to Zhiqiang Xu China Zhiqiang Xu's profile →
Citations per field
00.5×2.7×
Zhiqiang Xu · 1×
Citations per year

Countries citing papers authored by Lixing Yu

Since Specialization
Citations

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

Fields of papers citing papers by Lixing Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Lixing Yu, 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 Lixing Yu Line = papers co-authored together Lixing Yu links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2017164
2
Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach
201867
3 202057
4 202051
5 202050
6 202236
7 201835
8 201734
9 202030
10 202027
11 202025
12 201916
13 201911
14 20207
15 20195
16
SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud.
20183
17 20193
18 20212
19 20190

About Lixing Yu

Lixing Yu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 623 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (5 papers), Blockchain Technology Applications and Security (4 papers), Advanced MIMO Systems Optimization (4 papers), Adversarial Robustness in Machine Learning (3 papers), Anomaly Detection Techniques and Applications (3 papers), IoT and Edge/Fog Computing (3 papers), Cryptography and Data Security (2 papers) and Full-Duplex Wireless Communications (2 papers). The work is most often cited by research in Artificial Intelligence (336 citations), Computer Networks and Communications (211 citations), Signal Processing (77 citations), Geophysics (94 citations) and Transportation (35 citations). Lixing Yu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Pan Li, Qianlong Wang, Yifan Guo, Tianxi Ji, Changqing Luo, Weixian Liao, Ming Li, Jinlong Ji, Xufei Wang and Geyong Min. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Computational Social Systems, IEEE Transactions on Emerging Topics in Computing, IEEE Transactions on Wireless Communications and IEEE Transactions on Cognitive Communications and Networking.

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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