Chenlu Qiu

656 citations

16 papers · 342 indexed · h-index 9

Computational Mathematics top 10%
Signal Processing top 5%
- Blind Source Separation Techniques 10
Computational Mechanics top 5%
- Sparse and Compressive Sensing Techniques 14
Computer Vision and Pattern Recognition top 5%
- Image and Signal Denoising Methods 3
Acoustics and Ultrasonics
Artificial Intelligence
- Anomaly Detection Techniques and Applications 4
Electrical and Electronic Engineering
- Indoor and Outdoor Localization Technologies 2
Control and Systems Engineering
- Fault Detection and Control Systems 2
Biomedical Engineering
- Microwave Imaging and Scattering Analysis 2
Radiology, Nuclear Medicine and Imaging
- Advanced MRI Techniques and Applications 2

Co-authors: Namrata Vaswani Han Guo Leslie HogbenWei LuXuan PengLei ZhaoXiaodong Wu Huiying Xu
Cited by: Computational Mathematics Signal Processing Computational Mechanics
Journals: IEEE Transactions on Information Theory (1 paper)IEEE Transactions on Signal Processing (1 paper)arXiv (Cornell University) (1 paper)
Partner nations: United States China

In The Last Decade

Chenlu Qiu

16 papers receiving 331 citations

Peers

Countries citing papers authored by Chenlu Qiu

Since Specialization

Citations

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

Fields of papers citing papers by Chenlu Qiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside Chenlu Qiu, 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 Chenlu Qiu Line = papers co-authored together Chenlu Qiu links everyone, so they are left out of the graph.

All Works

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16 of 16 papers shown

#	Work
1	Driver Risk Assessment Using Traffic Violation and Accident Data by Machine Learning Approaches Maggie Flicker Byers,Chenlu Qiu,Lei Zhao,Roscia Jeya Shiney Jayakumar	2018	10
2	Anomaly detection in time series via robust PCA Roscia Jeya Shiney Jayakumar,Chenlu Qiu,Takaaki OSAWA,Xuan Peng,Patrícia de Fátima Zanata Gonçalves Feltrin	2017	25
3	Supervision on abnormal activities in vehicle inspection service by anomaly detection in bipartite graph Chenlu Qiu,Huiying Xu,Weixiang Liu	2016	2
4	Recursive projected sparse matrix recovery (ReProSMR) with application in real-time video layer separation Chenlu Qiu,Xiaodong Wu,Huiying Xu	2014	2
5	An Online Algorithm for Separating Sparse and Low-Dimensional Signal Sequences From Their Sum IEEE Transactions on Signal Processing ·Han Guo,Chenlu Qiu,Namrata Vaswani	2014	85
6	Practical ReProCS for separating sparse and low-dimensional signal sequences from their sum — Part 2 Han Guo,Namrata Vaswani,Chenlu Qiu	2014	7
7	Recursive Robust PCA or Recursive Sparse Recovery in Large but Structured Noise IEEE Transactions on Information Theory ·Chenlu Qiu,Namrata Vaswani,Amets Beltran de Guevara Arejolaleiba,Leslie Hogben	2014	58
8	Performance guarantees for ReProCS - Correlated low-rank matrix entries case Zenodo (CERN European Organization for Nuclear Research) ·Haqqulov Husniddin,Namrata Vaswani,Chenlu Qiu	2014	2
9	Practical ReProCS for separating sparse and low-dimensional signal sequences from their sum — Part 1 Han Guo,Chenlu Qiu,Namrata Vaswani	2014	12
10	Practical ReProCS for Separating Sparse and Low-dimensional Signal Sequences from their Sum arXiv (Cornell University) ·Han Guo,Chenlu Qiu,Namrata Vaswani	2013	4
11	Recursive sparse recovery in large but structured noise — Part 2 Chenlu Qiu,Namrata Vaswani	2013	6
12	Performance guarantees for undersampled recursive sparse recovery in large but structured noise Amets Beltran de Guevara Arejolaleiba,Namrata Vaswani,Chenlu Qiu	2013	4
13	Recursive sparse recovery in large but correlated noise Chenlu Qiu,Namrata Vaswani	2011	29
14	Support-Predicted Modified-CS for recursive robust principal components' Pursuit Chenlu Qiu,Namrata Vaswani	2011	19
15	Real-time Robust Principal Components' Pursuit Chenlu Qiu,Namrata Vaswani	2010	39
16	Real-time dynamic MR image reconstruction using Kalman Filtered Compressed Sensing Chenlu Qiu,Wei Lu,Namrata Vaswani	2009	38

About Chenlu Qiu

Chenlu Qiu is a scholar working on Acoustics and Ultrasonics, Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 16 papers that have together received 342 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (14 papers), Blind Source Separation Techniques (10 papers), Anomaly Detection Techniques and Applications (4 papers), Image and Signal Denoising Methods (3 papers), Indoor and Outdoor Localization Technologies (2 papers), Fault Detection and Control Systems (2 papers), Microwave Imaging and Scattering Analysis (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Computational Mathematics (13 citations), Signal Processing (126 citations), Computational Mechanics (223 citations), Computer Vision and Pattern Recognition (153 citations) and Acoustics and Ultrasonics (3 citations). Chenlu Qiu has collaborated with scholars based in United States and China. Frequent co-authors include Namrata Vaswani, Han Guo, Leslie Hogben, Wei Lu, Xuan Peng, Lei Zhao, Xiaodong Wu, Huiying Xu and Weixiang Liu. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, arXiv (Cornell University) and Zenodo (CERN European Organization for Nuclear Research).

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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