Yousri Kessentini

1.5k total citations · 1 hit paper
42 papers, 815 citations indexed

About

Yousri Kessentini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Yousri Kessentini has authored 42 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 9 papers in Media Technology. Recurrent topics in Yousri Kessentini's work include Handwritten Text Recognition Techniques (28 papers), Natural Language Processing Techniques (14 papers) and Text and Document Classification Technologies (10 papers). Yousri Kessentini is often cited by papers focused on Handwritten Text Recognition Techniques (28 papers), Natural Language Processing Techniques (14 papers) and Text and Document Classification Technologies (10 papers). Yousri Kessentini collaborates with scholars based in Tunisia, France and Algeria. Yousri Kessentini's co-authors include Sourour Ammar, Thierry Paquet, I. Féki, Khan Muhammad, Abdelmajid Ben Hamadou, Abdelaziz Kallel, Alícia Fornés, Slim Kanoun, Thomas Bürger and Josep Lladós and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Yousri Kessentini

37 papers receiving 781 citations

Hit Papers

Federated learning for COVID-19 screening from Chest X-ra... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yousri Kessentini Tunisia 15 530 311 233 94 43 42 815
Zi-Rui Wang China 11 294 0.6× 374 1.2× 73 0.3× 49 0.5× 12 0.3× 23 661
Mohammad Faidzul Nasrudin Malaysia 12 244 0.5× 133 0.4× 61 0.3× 28 0.3× 12 0.3× 60 426
Laurent Wendling France 17 566 1.1× 158 0.5× 74 0.3× 40 0.4× 9 0.2× 67 862
Sheng Ren China 12 303 0.6× 148 0.5× 148 0.6× 49 0.5× 7 0.2× 32 521
Zhao-Min Chen China 5 578 1.1× 587 1.9× 64 0.3× 66 0.7× 4 0.1× 7 948
Inzamam Mashood Nasir Pakistan 14 183 0.3× 177 0.6× 35 0.2× 100 1.1× 13 0.3× 28 489
Xiaosheng Yu China 13 376 0.7× 153 0.5× 43 0.2× 204 2.2× 9 0.2× 99 653
Xiaokai Yi China 8 363 0.7× 201 0.6× 39 0.2× 30 0.3× 11 0.3× 11 662
Xin Feng China 11 344 0.6× 78 0.3× 62 0.3× 22 0.2× 7 0.2× 51 527
Amit Choudhary India 8 291 0.5× 123 0.4× 156 0.7× 55 0.6× 2 0.0× 24 494

Countries citing papers authored by Yousri Kessentini

Since Specialization
Citations

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

Fields of papers citing papers by Yousri Kessentini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yousri Kessentini

This figure shows the co-authorship network connecting the top 25 collaborators of Yousri Kessentini. A scholar is included among the top collaborators of Yousri Kessentini 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 Yousri Kessentini. Yousri Kessentini 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.
Ammar, Sourour, et al.. (2025). ST-KeyS: Self-supervised Transformer for Keyword Spotting in historical handwritten documents. Pattern Recognition. 170. 112036–112036.
2.
Kessentini, Yousri, et al.. (2025). UCL-MHTR: A unified continual learning system for multilingual handwritten text recognition. Expert Systems with Applications. 294. 128741–128741.
3.
Kessentini, Yousri, et al.. (2025). Information extraction from multi-layout invoice images using FATURA dataset. Engineering Applications of Artificial Intelligence. 149. 110478–110478.
4.
Kessentini, Yousri, et al.. (2023). MSdocTr-Lite: A lite transformer for full page multi-script handwriting recognition. Pattern Recognition Letters. 169. 28–34. 8 indexed citations
5.
Biswas, Sanket, Ali Furkan Biten, Alícia Fornés, et al.. (2023). Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 2330–2338. 15 indexed citations
6.
Kessentini, Yousri, et al.. (2023). Spectral–Temporal Fusion of Satellite Images via an End-to-End Two-Stream Attention With an Effective Reconstruction Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 1308–1320. 2 indexed citations
7.
Ammar, Sourour, et al.. (2022). Masking for better discovery: Weakly supervised complementary body regions mining for person re-identification. Expert Systems with Applications. 197. 116636–116636. 15 indexed citations
8.
Cheddad, Abbas, et al.. (2022). Introduction to the special section on intelligent systems and pattern recognition (SS:ISPR20). Pattern Recognition Letters. 156. 190–191. 1 indexed citations
9.
Kessentini, Yousri, et al.. (2021). Multi-task learning for simultaneous script identification and keyword spotting in document images. Pattern Recognition. 113. 107832–107832. 13 indexed citations
10.
Ammar, Sourour, et al.. (2021). Domain and writer adaptation of offline Arabic handwriting recognition using deep neural networks. Neural Computing and Applications. 34(3). 2055–2071. 9 indexed citations
11.
Féki, I., Sourour Ammar, Yousri Kessentini, & Khan Muhammad. (2021). Federated learning for COVID-19 screening from Chest X-ray images. Applied Soft Computing. 106. 107330–107330. 177 indexed citations breakdown →
12.
Kessentini, Yousri, et al.. (2021). Transformer-based approach for joint handwriting and named entity recognition in historical document. Pattern Recognition Letters. 155. 128–134. 30 indexed citations
13.
Kessentini, Yousri, et al.. (2021). Enhance to read better: A Multi-Task Adversarial Network for Handwritten Document Image Enhancement. Pattern Recognition. 123. 108370–108370. 32 indexed citations
14.
Djeddi, Chawki, Yousri Kessentini, Imran Siddiqi, & Mohamed Jmaïel. (2021). Pattern Recognition and Artificial Intelligence. Communications in computer and information science. 5 indexed citations
15.
Kessentini, Yousri, et al.. (2020). Multi-stream Deep Networks for Vehicle Make and Model Recognition. HAL (Le Centre pour la Communication Scientifique Directe). 413–419.
16.
Kessentini, Yousri, et al.. (2019). Generalized Laplacian Pyramid Pan-Sharpening Gain Injection Prediction Based on CNN. IEEE Geoscience and Remote Sensing Letters. 17(4). 651–655. 19 indexed citations
17.
Kessentini, Yousri, et al.. (2019). A two-stage deep neural network for multi-norm license plate detection and recognition. Expert Systems with Applications. 136. 159–170. 81 indexed citations
18.
Kessentini, Yousri, et al.. (2011). An Optimized Multi-stream Decoding Algorithm for Handwritten Word Recognition. 1. 192–196. 1 indexed citations
19.
Bürger, Thomas, Yousri Kessentini, & Thierry Paquet. (2011). Dempster-Shafer Based Rejection Strategy for Handwritten Word Recognition. SPIRE - Sciences Po Institutional REpository. 528–532. 5 indexed citations
20.
Kessentini, Yousri, Thierry Paquet, & Abdelmajid Ben Hamadou. (2009). A Multi-Lingual Recognition System for Arabic and Latin Handwriting. e81 d. 1196–1200. 11 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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