Lifeng Shen

668 citations
11 papers · 449 indexed · h-index 10
Topics
Time Series Analysis and Forecasting (8 papers)Neural Networks and Applications (4 papers)Anomaly Detection Techniques and Applications (4 papers)

In The Last Decade

Lifeng Shen

11 papers receiving 439 citations

Peers

Lifeng Shen
Comparison fields: 5 of 68
  • Artificial Intelligence 372
  • Signal Processing 176
  • Computer Networks and Communications 115
  • Electrical and Electronic Engineering 115
  • Control and Systems Engineering 45
Replace Fehaid Alqahtani with:
Fehaid Alqahtani United Kingdom
Tianmeng Yang China
Zhihan Yue China
Yali Gao China
Yifan Li China
Justinian Rosca United States
Joseph Azar France
Vasudev Dehalwar India
Asim Dilawar Bakhshi Pakistan
Selim Yılmaz Türkiye
Lifeng Shen relative to Fehaid Alqahtani United Kingdom Fehaid Alqahtani's profile →
Citations per field
00.5×8.7×
Fehaid Alqahtani · 1×
Citations per year

Countries citing papers authored by Lifeng Shen

Since Specialization
Citations

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

Fields of papers citing papers by Lifeng Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lifeng Shen

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 17
2 42
3
Timeseries Anomaly Detection using Temporal Hierarchical One-Class Network
114
4 27
5 55
6 82
7 12
8
End-to-End Time Series Imputation via Residual Short Paths
10
9 13
10 75
11
[Study of feature extraction methods for maize's near infrared spectra in biomimetic pattern recognition].
2

About Lifeng Shen

Lifeng Shen is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 11 papers that have together received 449 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (8 papers), Neural Networks and Applications (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Signal Processing (176 citations), Artificial Intelligence (372 citations) and Computer Networks and Communications (115 citations). Lifeng Shen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qianli Ma, James T. Kwok, Garrison W. Cottrell, Zhiwen Yu, Jia Wei, Weibiao Chen, Jiabin Wang, Sen Li, Min Huang and Jiabing Wang. Their work appears in journals such as IEEE Access, Information Sciences and IEEE Transactions on Cybernetics.

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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