Hanene Azzag

505 total citations
22 papers, 260 citations indexed

About

Hanene Azzag is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hanene Azzag has authored 22 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Signal Processing and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hanene Azzag's work include Advanced Clustering Algorithms Research (11 papers), Data Stream Mining Techniques (8 papers) and Neural Networks and Applications (5 papers). Hanene Azzag is often cited by papers focused on Advanced Clustering Algorithms Research (11 papers), Data Stream Mining Techniques (8 papers) and Neural Networks and Applications (5 papers). Hanene Azzag collaborates with scholars based in France, Algeria and Tunisia. Hanene Azzag's co-authors include Mustapha Lebbah, Christiane Guinot, Gilles Venturini, Jérôme Lacaille, Tarn Duong, Zakaria Elberrichi, Zaineb Chelly Dagdia, Christine Zarges, Cyrille Bertelle and Salima Benbernou and has published in prestigious journals such as European Journal of Operational Research, Neural Networks and Machine Learning.

In The Last Decade

Hanene Azzag

21 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hanene Azzag France	9	185	86	58	27	23	22	260
Yifan Fu Australia	7	222 1.2×	92 1.1×	33 0.6×	15 0.6×	19 0.8×	10	338
Nicolas Veyrat-Charvillon France	6	189 1.0×	94 1.1×	62 1.1×	22 0.8×	17 0.7×	10	291
Chandan Gautam India	10	199 1.1×	91 1.1×	22 0.4×	23 0.9×	34 1.5×	19	263
Aloysius George United States	8	115 0.6×	82 1.0×	58 1.0×	56 2.1×	36 1.6×	11	307
Qingsheng Ren China	8	220 1.2×	125 1.5×	34 0.6×	14 0.5×	27 1.2×	20	305
Khalid Benabdeslem France	8	189 1.0×	114 1.3×	56 1.0×	25 0.9×	22 1.0×	28	295
Hai Huang China	9	69 0.4×	82 1.0×	65 1.1×	65 2.4×	20 0.9×	40	276
Kareem Kamal A. Ghany Egypt	9	130 0.7×	114 1.3×	92 1.6×	20 0.7×	62 2.7×	17	307

Countries citing papers authored by Hanene Azzag

Since Specialization

Citations

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

Fields of papers citing papers by Hanene Azzag

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanene Azzag

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

All Works

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20 of 20 papers shown

Azzag, Hanene, et al.. (2023). Improved Multi-Objective Data Stream Clustering with Time and Memory Optimization. SPIRE - Sciences Po Institutional REpository. 267–270.

Azzag, Hanene, et al.. (2022). Regions of interest selection in histopathological images using subspace and multi-objective stream clustering. The Visual Computer. 1 indexed citations

Lebbah, Mustapha, et al.. (2021). Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering. Neural Computing and Applications. 33(24). 17439–17469. 14 indexed citations

Elberrichi, Zakaria, et al.. (2021). Transfer learning from synthetic labels for histopathological images classification. Applied Intelligence. 52(1). 358–377. 20 indexed citations

Lebbah, Mustapha, et al.. (2021). Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). 662–667. 7 indexed citations

Azzag, Hanene, et al.. (2020). Subspace data stream clustering with global and local weighting models. Neural Computing and Applications. 33(8). 3691–3712. 5 indexed citations

Lacaille, Jérôme, et al.. (2020). Large-scale Vibration Monitoring of Aircraft Engines from Operational Data using Self-organized Models. Annual Conference of the PHM Society. 12(1). 11–11. 7 indexed citations

Azzag, Hanene, et al.. (2020). Multi-objective data stream clustering. HAL (Le Centre pour la Communication Scientifique Directe). 113–114. 2 indexed citations

Dagdia, Zaineb Chelly, et al.. (2018). A Distributed Rough Set Theory Algorithm based on Locality Sensitive Hashing for an Efficient Big Data Pre-processing. Aberystwyth Research portal (Aberystwyth University). 2597–2606. 9 indexed citations

10.

Azzag, Hanene, et al.. (2017). Big Data: from collection to visualization. Machine Learning. 106(6). 837–862. 1 indexed citations

11.

Lebbah, Mustapha, et al.. (2016). A new Growing Neural Gas for clustering data streams. Neural Networks. 78. 36–50. 36 indexed citations

12.

Lebbah, Mustapha, et al.. (2016). State-of-the-art on clustering data streams. 1(1). 53 indexed citations

13.

Duong, Tarn, et al.. (2016). Nearest neighbour estimators of density derivatives, with application to mean shift clustering. Pattern Recognition Letters. 80. 224–230. 15 indexed citations

14.

Duong, Tarn, et al.. (2016). Distributed mean shift clustering with approximate nearest neighbours. 3110–3115. 4 indexed citations

15.

Lebbah, Mustapha, et al.. (2015). Micro-Batching Growing Neural Gas for Clustering Data Streams Using Spark Streaming. Procedia Computer Science. 53. 158–166. 15 indexed citations

16.

Azzag, Hanene & Mustapha Lebbah. (2011). Self-Organizing Tree Using Artificial Ants. Journal of Information Technology Research. 4(2). 1–16. 2 indexed citations

17.

Azzag, Hanene, et al.. (2010). Map-TreeMaps: A New Approach for Hierarchical and Topological Clustering. 873–878. 1 indexed citations

18.

Azzag, Hanene, et al.. (2007). A New Approach of Data Clustering Using a Flock of Agents. Evolutionary Computation. 15(3). 345–367. 11 indexed citations

19.

Azzag, Hanene, Gilles Venturini, & Christiane Guinot. (2005). Automatic generation of web portals using artificial ants. 908–908. 1 indexed citations

20.

Azzag, Hanene, et al.. (2005). A hierarchical ant based clustering algorithm and its use in three real-world applications. European Journal of Operational Research. 179(3). 906–922. 50 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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