Youcef Brik

501 total citations
30 papers, 315 citations indexed

About

Youcef Brik is a scholar working on Computer Vision and Pattern Recognition, Health Information Management and Artificial Intelligence. According to data from OpenAlex, Youcef Brik has authored 30 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 8 papers in Health Information Management and 8 papers in Artificial Intelligence. Recurrent topics in Youcef Brik's work include Artificial Intelligence in Healthcare (8 papers), Brain Tumor Detection and Classification (7 papers) and Retinal Imaging and Analysis (6 papers). Youcef Brik is often cited by papers focused on Artificial Intelligence in Healthcare (8 papers), Brain Tumor Detection and Classification (7 papers) and Retinal Imaging and Analysis (6 papers). Youcef Brik collaborates with scholars based in Algeria, Canada and France. Youcef Brik's co-authors include Rachid Benlamri, Samir Brahim Belhaouari, Youcef Chibani, Sandrine Moreau, A. Ameur, Youssef Chahir, Djemel Ziou, Djamel Bouchaffra, Nabil Zerrouki and Bilal Hadjadji and has published in prestigious journals such as Expert Systems with Applications, Environmental Science and Pollution Research and Chemometrics and Intelligent Laboratory Systems.

In The Last Decade

Youcef Brik

26 papers receiving 292 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Youcef Brik Algeria 9 124 84 84 59 47 30 315
Juan Luís Vidal Mazón Spain 10 99 0.8× 75 0.9× 34 0.4× 57 1.0× 63 1.3× 20 380
Samsuddin Ahmed Bangladesh 8 81 0.7× 46 0.5× 106 1.3× 40 0.7× 20 0.4× 20 254
Ekin Ekıncı Türkiye 10 188 1.5× 38 0.5× 23 0.3× 22 0.4× 44 0.9× 47 365
Ahmad Al Smadi China 9 132 1.1× 74 0.9× 145 1.7× 52 0.9× 76 1.6× 33 393
Ervin Gubin Moung Malaysia 10 73 0.6× 69 0.8× 16 0.2× 13 0.2× 41 0.9× 45 274
Nitin Kumar Chauhan India 5 109 0.9× 37 0.4× 20 0.2× 24 0.4× 43 0.9× 9 273
Chandradeep Bhatt India 5 90 0.7× 50 0.6× 32 0.4× 23 0.4× 68 1.4× 63 260
Abhijith Reddy Beeravolu Australia 5 214 1.7× 35 0.4× 34 0.4× 229 3.9× 115 2.4× 6 473
Leema Nelson India 10 68 0.5× 55 0.7× 28 0.3× 15 0.3× 53 1.1× 64 289
Syamsul Rizal Indonesia 7 58 0.5× 27 0.3× 39 0.5× 19 0.3× 19 0.4× 55 226

Countries citing papers authored by Youcef Brik

Since Specialization
Citations

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

Fields of papers citing papers by Youcef Brik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youcef Brik

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

All Works

20 of 20 papers shown
1.
Brik, Youcef, et al.. (2024). MRI-based brain tumor ensemble classification using two stage score level fusion and CNN models. Egyptian Informatics Journal. 28. 100565–100565. 4 indexed citations
2.
Brik, Youcef, et al.. (2024). A sequential combination of convolution neural network and machine learning for finger vein recognition system. Signal Image and Video Processing. 18(11). 8267–8278. 2 indexed citations
3.
Brik, Youcef, et al.. (2024). Two-stage deep learning classification for diabetic retinopathy using gradient weighted class activation mapping. Automatika. 65(3). 1284–1299. 6 indexed citations
4.
Brik, Youcef, et al.. (2024). Deep learning-based diabetic retinopathy diagnosis using transfer learning with VGG19 and InceptionV3. STUDIES IN ENGINEERING AND EXACT SCIENCES. 5(2). e11382–e11382. 1 indexed citations
5.
Brik, Youcef, et al.. (2024). Deep-modified transfer learning-based CNN networks for enhanced breast cancer prediction. STUDIES IN ENGINEERING AND EXACT SCIENCES. 5(2). e5383–e5383. 1 indexed citations
6.
Brik, Youcef, et al.. (2023). A multi-level fine-tuned deep learning based approach for binary classification of diabetic retinopathy. Chemometrics and Intelligent Laboratory Systems. 237. 104820–104820. 12 indexed citations
7.
Brik, Youcef, et al.. (2022). Brain Tumor Classification Based Deep Transfer Learning Approaches. 1–6. 5 indexed citations
8.
Brik, Youcef, et al.. (2022). Finger Vein Based CNN Algorithms for Human Recognition. 2. 1–6. 1 indexed citations
9.
Benlamri, Rachid, et al.. (2022). Social media-based COVID-19 sentiment classification model using Bi-LSTM. Expert Systems with Applications. 212. 118710–118710. 87 indexed citations
10.
11.
Brik, Youcef, et al.. (2022). A decision fusion method based on classification models for water quality monitoring. Environmental Science and Pollution Research. 30(9). 22532–22549. 11 indexed citations
12.
13.
Brik, Youcef, et al.. (2022). Transfer Learning for Diabetic Retinopathy Detection. 1–5. 2 indexed citations
14.
Brik, Youcef, et al.. (2021). An Efficient Prediction System for Diabetes Disease Based on Deep Neural Network. Complexity. 2021(1). 20 indexed citations
15.
Brik, Youcef, et al.. (2021). Sampling Rate Optimization for Improving the Cascaded Integrator Comb Filter Characteristics. Traitement du signal. 38(1). 97–103. 2 indexed citations
16.
Brik, Youcef, et al.. (2021). Efficient heart disease diagnosis based on twin support vector machine. Diagnostyka. 22(3). 3–11. 3 indexed citations
17.
Benlamri, Rachid, et al.. (2021). Transfer Learning for Automatic Brain Tumor Classification Using MRI Images. 210–214. 69 indexed citations
18.
19.
Brik, Youcef, et al.. (2019). Neighborhood Component Analysis and Support Vector Machines for Heart Disease Prediction. Ingénierie des systèmes d information. 24(6). 591–595. 18 indexed citations
20.

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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