Moussa Amrani

564 total citations
10 papers, 435 citations indexed

About

Moussa Amrani is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Moussa Amrani has authored 10 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Moussa Amrani's work include Advanced Image and Video Retrieval Techniques (3 papers), ECG Monitoring and Analysis (2 papers) and EEG and Brain-Computer Interfaces (2 papers). Moussa Amrani is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), ECG Monitoring and Analysis (2 papers) and EEG and Brain-Computer Interfaces (2 papers). Moussa Amrani collaborates with scholars based in China, Algeria and Egypt. Moussa Amrani's co-authors include Feng Jiang, Mohamed Hammad, Kuanquan Wang, Abdenour Amamra, Souleyman Chaib, Shaohui Liu, Shengping Zhang, Hongxun Yao, Yanfeng Gu and Wangmeng Zuo and has published in prestigious journals such as International Journal of Remote Sensing, Neural Computing and Applications and Measurement.

In The Last Decade

Moussa Amrani

10 papers receiving 404 citations

Peers

Moussa Amrani

CCM

AE

CN

CVPR

BE

Ruohong Huan China

Arup Ray India

Yuwen Huang China

Chee‐Hung Henry Chu United States

P. Constantinou Greece

M. Sami Zitouni United Arab Emirates

Pradyut Kumar Biswal India

Roberta Avanzato Italy

Andrzej Śluzek Singapore

Ruohong Huan China

Moussa Amrani

84 ×0.6

CCM

166 ×1.4

AE

50 ×0.5

CN

158 ×1.9

CVPR

95 ×1.2

BE

Citations per year, relative to Moussa Amrani Moussa Amrani (= 1×) peers Ruohong Huan

Countries citing papers authored by Moussa Amrani

Since Specialization

Citations

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

Fields of papers citing papers by Moussa Amrani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moussa Amrani

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

All Works

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10 of 10 papers shown

1.

Amrani, Moussa. (2024). Deep convolutional multi-informative metric correlation analysis with bottleneck attention module for face recognition in the wild. Multimedia Tools and Applications. 83(22). 62459–62487. 1 indexed citations

2.

Amrani, Moussa, et al.. (2021). New SAR target recognition based on YOLO and very deep multi-canonical correlation analysis. International Journal of Remote Sensing. 43(15-16). 5800–5819. 50 indexed citations

3.

Amrani, Moussa, et al.. (2018). SAR-Oriented Visual Saliency Model and Directed Acyclic Graph Support Vector Metric Based Target Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(10). 3794–3810. 45 indexed citations

4.

Amrani, Moussa, et al.. (2018). Very deep feature extraction and fusion for arrhythmias detection. Neural Computing and Applications. 30(7). 2047–2057. 57 indexed citations

5.

Hammad, Mohamed, et al.. (2018). Detection of abnormal heart conditions based on characteristics of ECG signals. Measurement. 125. 634–644. 149 indexed citations

6.

Xiao, Gang, et al.. (2017). Deep features for efficient multi-biometric recognition with face and ear images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10420. 104200D–104200D. 8 indexed citations

7.

Chaib, Souleyman, Hongxun Yao, Yanfeng Gu, & Moussa Amrani. (2017). Deep feature extraction and combination for remote sensing image classification based on pre-trained CNN models. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10420. 104203D–104203D. 30 indexed citations

8.

Amrani, Moussa, et al.. (2017). Bag-of-visual-words based feature extraction for SAR target classification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10420. 104201J–104201J. 22 indexed citations

9.

Amrani, Moussa & Feng Jiang. (2017). Deep feature extraction and combination for synthetic aperture radar target classification. Journal of Applied Remote Sensing. 11(4). 1–1. 71 indexed citations

10.

Amrani, Moussa. (2013). Towards the Formal Verification of Model Transformations: An Application to Kermeta. Open Repository and Bibliography (University of Luxembourg). 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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