Adel Hafiane

3.3k total citations · 3 hit papers
70 papers, 1.9k citations indexed

About

Adel Hafiane is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Artificial Intelligence. According to data from OpenAlex, Adel Hafiane has authored 70 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 17 papers in Plant Science and 15 papers in Artificial Intelligence. Recurrent topics in Adel Hafiane's work include Smart Agriculture and AI (16 papers), Medical Image Segmentation Techniques (12 papers) and Remote Sensing in Agriculture (10 papers). Adel Hafiane is often cited by papers focused on Smart Agriculture and AI (16 papers), Medical Image Segmentation Techniques (12 papers) and Remote Sensing in Agriculture (10 papers). Adel Hafiane collaborates with scholars based in France, United States and Vietnam. Adel Hafiane's co-authors include Raphaël Canals, Mamadou Dian Bah, Kannappan Palaniappan, Guna Seetharaman, Filiz Bunyak, Youssef Es-Saady, Mohamed El Hajji, Pierre Vieyres, Alain Delbos and Rachid Jennane and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Adel Hafiane

65 papers receiving 1.8k citations

Hit Papers

Vine disease detection in UAV multispectral images using ... 2020 2026 2022 2024 2020 2021 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adel Hafiane France 22 892 462 456 240 232 70 1.9k
Artzai Picón Spain 21 1.1k 1.3× 265 0.6× 928 2.0× 281 1.2× 460 2.0× 61 2.8k
Bo Zhao China 23 335 0.4× 108 0.2× 956 2.1× 398 1.7× 98 0.4× 93 1.9k
Chuanlei Zhang China 17 685 0.8× 139 0.3× 282 0.6× 114 0.5× 289 1.2× 81 1.5k
Verónica Vilaplana Spain 16 441 0.5× 169 0.4× 286 0.6× 95 0.4× 125 0.5× 57 960
S. Arivazhagan India 18 277 0.3× 97 0.2× 1.1k 2.3× 240 1.0× 213 0.9× 143 2.0k
Carlo Gatta Spain 22 239 0.3× 154 0.3× 1.1k 2.3× 167 0.7× 28 0.1× 63 2.0k
Zhiyong Xu China 14 122 0.1× 145 0.3× 300 0.7× 230 1.0× 44 0.2× 62 1.2k
Brajesh Kumar India 17 387 0.4× 92 0.2× 110 0.2× 79 0.3× 189 0.8× 91 1.3k
Guoxiong Zhou China 23 950 1.1× 190 0.4× 310 0.7× 66 0.3× 399 1.7× 83 1.6k
Hao Lü China 28 1.1k 1.3× 638 1.4× 1.1k 2.4× 497 2.1× 380 1.6× 101 2.6k

Countries citing papers authored by Adel Hafiane

Since Specialization
Citations

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

Fields of papers citing papers by Adel Hafiane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adel Hafiane

This figure shows the co-authorship network connecting the top 25 collaborators of Adel Hafiane. A scholar is included among the top collaborators of Adel Hafiane 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 Adel Hafiane. Adel Hafiane 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.
Hafiane, Adel, et al.. (2025). Decentralized federated learning using validation loss for model sharing in crop disease classification. Ecological Informatics. 90. 103205–103205.
2.
Es-Saady, Youssef, et al.. (2024). Enhancing DeepLabV3+ for aerial image semantic segmentation using weighted upsampling. SPIRE - Sciences Po Institutional REpository. 1–6. 1 indexed citations
3.
Thanh, Le Trung, Karim Abed‐Meraim, Nguyen Linh Trung, & Adel Hafiane. (2024). OPIT: A Simple but Effective Method for Sparse Subspace Tracking in High-Dimension and Low-Sample-Size Context. IEEE Transactions on Signal Processing. 72. 521–534.
4.
Hafiane, Adel, et al.. (2023). Explainability in image captioning based on the latent space. Neurocomputing. 546. 126319–126319. 3 indexed citations
5.
Thanh, Le Trung, et al.. (2023). A novel recursive least-squares adaptive method for streaming tensor-train decomposition with incomplete observations. Signal Processing. 216. 109297–109297. 3 indexed citations
6.
Hafiane, Adel, et al.. (2023). ConvNeXt based semi-supervised approach with consistency regularization for weeds classification. Expert Systems with Applications. 239. 122222–122222. 21 indexed citations
7.
Hafiane, Adel, et al.. (2023). The influence of climatic factors on downy mildew in two vineyards from France and Romania. SHILAP Revista de lepidopterología. 4. 133–140. 1 indexed citations
8.
Hafiane, Adel, et al.. (2023). Image-based crop disease detection with federated learning. Scientific Reports. 13(1). 19220–19220. 28 indexed citations
9.
Thanh, Le Trung, Karim Abed‐Meraim, Nguyen Linh Trung, & Adel Hafiane. (2023). Tracking online low-rank approximations of higher-order incomplete streaming tensors. Patterns. 4(6). 100759–100759. 2 indexed citations
10.
Thanh, Le Trung, Karim Abed‐Meraim, Nguyen Linh Trung, & Adel Hafiane. (2022). A Contemporary and Comprehensive Survey on Streaming Tensor Decomposition. IEEE Transactions on Knowledge and Data Engineering. 35(11). 10897–10921. 26 indexed citations
11.
Thanh, Le Trung, Karim Abed‐Meraim, Nguyen Linh Trung, & Adel Hafiane. (2022). Robust Tensor Tracking With Missing Data and Outliers: Novel Adaptive CP Decomposition and Convergence Analysis. IEEE Transactions on Signal Processing. 70. 4305–4320. 13 indexed citations
12.
Hafiane, Adel, et al.. (2021). Shape constraint function for artery tracking in ultrasound images. Computerized Medical Imaging and Graphics. 93. 101970–101970. 3 indexed citations
13.
Hafiane, Adel, et al.. (2021). A deep learning based multiscale approach to segment the areas of interest in whole slide images. Computerized Medical Imaging and Graphics. 90. 101923–101923. 17 indexed citations
14.
Hafiane, Adel, et al.. (2019). Deep visual nerve tracking in ultrasound images. Computerized Medical Imaging and Graphics. 76. 101639–101639. 24 indexed citations
15.
Hafiane, Adel, et al.. (2018). Adaptive median binary patterns for fully automatic nerves tracking in ultrasound images. Computer Methods and Programs in Biomedicine. 160. 129–140. 18 indexed citations
16.
Hafiane, Adel, et al.. (2017). Texture Classification using Multiple Local Descriptors. 1–7. 6 indexed citations
17.
Hafiane, Adel, Pierre Vieyres, & Alain Delbos. (2014). Phase-based probabilistic active contour for nerve detection in ultrasound images for regional anesthesia. Computers in Biology and Medicine. 52. 88–95. 31 indexed citations
18.
Boiret, Mathieu, et al.. (2014). Application of chemometric algorithms to MALDI mass spectrometry imaging of pharmaceutical tablets. Journal of Pharmaceutical and Biomedical Analysis. 105. 91–100. 36 indexed citations
19.
Hafiane, Adel, et al.. (2012). One dimensional local binary pattern for bone texture characterization. Pattern Analysis and Applications. 17(1). 179–193. 50 indexed citations
20.
Bunyak, Filiz, Adel Hafiane, & Kannappan Palaniappan. (2011). Histopathology Tissue Segmentation by Combining Fuzzy Clustering with Multiphase Vector Level Sets. Advances in experimental medicine and biology. 696. 413–424. 32 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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