Lifeng Shen

668 total citations
11 papers, 449 citations indexed

About

Lifeng Shen is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Lifeng Shen has authored 11 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Signal Processing and 3 papers in Computer Networks and Communications. Recurrent topics in Lifeng Shen's work include Time Series Analysis and Forecasting (8 papers), Neural Networks and Applications (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Lifeng Shen is often cited by papers focused on Time Series Analysis and Forecasting (8 papers), Neural Networks and Applications (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Lifeng Shen collaborates with scholars based in China, United States and Hong Kong. Lifeng Shen's 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 and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Cybernetics.

In The Last Decade

Lifeng Shen

11 papers receiving 439 citations

Peers

Lifeng Shen

AI

SP

CNC

EEE

CSE

Fehaid Alqahtani United Kingdom

Yifan Li China

Tianmeng Yang China

Zhihan Yue China

Yali Gao China

Ayman Taha Egypt

Ali Alqahtani Saudi Arabia

Justinian Rosca United States

Mohammad Shokoohi-Yekta United States

Selim Yılmaz Türkiye

Fehaid Alqahtani United Kingdom

Lifeng Shen

207 ×0.6

AI

136 ×0.8

SP

215 ×1.9

CNC

39 ×0.3

EEE

39 ×0.9

CSE

Citations per year, relative to Lifeng Shen Lifeng Shen (= 1×) peers Fehaid Alqahtani

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

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Shen, Lifeng, et al.. (2022). Efficient time series anomaly detection by multiresolution self-supervised discriminative network. Neurocomputing. 491. 261–272. 17 indexed citations

2.

Shen, Lifeng, et al.. (2021). Time Series Anomaly Detection with Multiresolution Ensemble Decoding. Proceedings of the AAAI Conference on Artificial Intelligence. 35(11). 9567–9575. 42 indexed citations

3.

Shen, Lifeng, et al.. (2020). Timeseries Anomaly Detection using Temporal Hierarchical One-Class Network. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 33. 13016–13026. 114 indexed citations

4.

Ma, Qianli, et al.. (2019). Time series classification with Echo Memory Networks. Neural Networks. 117. 225–239. 27 indexed citations

5.

Ma, Qianli, Sen Li, Lifeng Shen, et al.. (2019). End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables. IEEE Transactions on Cybernetics. 50(12). 4908–4920. 55 indexed citations

6.

Ma, Qianli, Lifeng Shen, & Garrison W. Cottrell. (2019). DeePr-ESN: A deep projection-encoding echo-state network. Information Sciences. 511. 152–171. 82 indexed citations

7.

Li, Sen, et al.. (2019). Dynamic Barycenter Averaging Kernel in RBF Networks for Time Series Classification. IEEE Access. 7. 47564–47576. 12 indexed citations

8.

Shen, Lifeng, Qianli Ma, & Sen Li. (2018). End-to-End Time Series Imputation via Residual Short Paths. Asian Conference on Machine Learning. 248–263. 10 indexed citations

9.

Ma, Qianli, et al.. (2017). WALKING WALKing walking: Action Recognition from Action Echoes. 2457–2463. 13 indexed citations

10.

Ma, Qianli, Lifeng Shen, Weibiao Chen, et al.. (2016). Functional echo state network for time series classification. Information Sciences. 373. 1–20. 75 indexed citations

11.

Shen, Lifeng, et al.. (2012). [Study of feature extraction methods for maize's near infrared spectra in biomimetic pattern recognition].. PubMed. 32(4). 939–43. 2 indexed citations

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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