Dalal Bardou

1.1k total citations · 1 hit paper
26 papers, 704 citations indexed

About

Dalal Bardou is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dalal Bardou has authored 26 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Statistical and Nonlinear Physics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dalal Bardou's work include Complex Network Analysis Techniques (13 papers), Opinion Dynamics and Social Influence (9 papers) and Advanced Graph Neural Networks (7 papers). Dalal Bardou is often cited by papers focused on Complex Network Analysis Techniques (13 papers), Opinion Dynamics and Social Influence (9 papers) and Advanced Graph Neural Networks (7 papers). Dalal Bardou collaborates with scholars based in China, Algeria and France. Dalal Bardou's co-authors include Kun Zhang, Kun Zhang, Ting Zhang, Zhuo Li, Xiaohong Ma, Gaohang Yu, Ying Cai, Xiabi Liu, Shanzhou Niu and Yanqiu Liu and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Dalal Bardou

22 papers receiving 677 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Classification of Breast Cancer Based on Histology Images Using Convolutional Neural Networks

2018 296 citations Dalal Bardou, Kun Zhang et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dalal Bardou China	10	384	271	200	152	100	26	704
Changhee Han Japan	10	316 0.8×	249 0.9×	325 1.6×	63 0.4×	38 0.4×	27	762
Kesari Verma India	15	520 1.4×	398 1.5×	263 1.3×	72 0.5×	41 0.4×	50	928
Anas Bilal China	18	302 0.8×	492 1.8×	324 1.6×	36 0.2×	55 0.6×	66	1.1k
Ta Zhou China	15	282 0.7×	190 0.7×	59 0.3×	81 0.5×	14 0.1×	54	615
Mengjia Xu United States	13	181 0.5×	72 0.3×	168 0.8×	31 0.2×	31 0.3×	26	549
Saddam Hussain Khan Pakistan	19	309 0.8×	259 1.0×	218 1.1×	38 0.3×	112 1.1×	28	696
Hui Cui China	18	356 0.9×	313 1.2×	248 1.2×	92 0.6×	49 0.5×	97	1.1k
Yuxing Tang China	15	380 1.0×	437 1.6×	269 1.3×	133 0.9×	31 0.3×	38	842
Salah Ud Din China	14	475 1.2×	118 0.4×	125 0.6×	14 0.1×	95 0.9×	25	905

Countries citing papers authored by Dalal Bardou

Since Specialization

Citations

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

Fields of papers citing papers by Dalal Bardou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dalal Bardou

This figure shows the co-authorship network connecting the top 25 collaborators of Dalal Bardou. A scholar is included among the top collaborators of Dalal Bardou 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 Dalal Bardou. Dalal Bardou 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

Bardou, Dalal, et al.. (2026). Identifying Key Nodes in Multiplex Networks Based on Evidence Theory. IEEE Access. 14. 6896–6910.

Wang, Jiabao, et al.. (2025). VLCA: Vision-language feature enhancement with cross-Attention learning for facial expression recognition. Expert Systems with Applications. 299. 130292–130292.

Bardou, Dalal, et al.. (2025). A spatially aware global and local perspective approach for few-shot incremental learning. Scientific Reports. 15(1). 21903–21903.

Bardou, Dalal, et al.. (2025). MERGE: multimodal-enhanced representation and guided ensemble for pneumonia recognition in chest X-ray images. The Journal of Supercomputing. 81(8). 3 indexed citations

Zhang, Changchun, et al.. (2025). Dara: distribution-aware representation alignment for semi-supervised domain adaptation in image classification. The Journal of Supercomputing. 81(2). 6 indexed citations

Zhang, Ting, et al.. (2024). Adversarial nonnegative matrix factorization for temporal link prediction. Physics Letters A. 527. 129984–129984. 2 indexed citations

Bardou, Dalal, et al.. (2024). Optimizing Task Scheduling in Cloud Computing Using Discrete Tuna Swarm Optimization. Ingénierie des systèmes d information. 29(1). 323–335. 1 indexed citations

Bardou, Dalal, et al.. (2024). GAD-VAE: generative adversarial disentanglement with variational autoencoders for hair removal in dermoscopy images. Network Modeling Analysis in Health Informatics and Bioinformatics. 13(1).

Bardou, Dalal, et al.. (2023). Deep Autoencoder-like non-negative matrix factorization with graph regularized for link prediction in dynamic networks. Applied Soft Computing. 148. 110832–110832. 7 indexed citations

10.

Zheng, Z. M., et al.. (2023). A Community-Based Centrality Measure for Identifying Key Nodes in Multilayer Networks. IEEE Transactions on Computational Social Systems. 11(2). 2448–2463. 15 indexed citations

11.

Zhang, Ting, et al.. (2023). An improved gravity centrality for finding important nodes in multi-layer networks based on multi-PageRank. Expert Systems with Applications. 238. 122171–122171. 18 indexed citations

12.

Bardou, Dalal, et al.. (2023). Task scheduling and VM placement to resource allocation in Cloud computing: challenges and opportunities. Cluster Computing. 26(5). 3069–3087. 24 indexed citations

13.

Bardou, Dalal, et al.. (2022). A novel hybrid multi-objective algorithm to solve the generalized cubic cell formation problem. Computers & Operations Research. 150. 106069–106069. 8 indexed citations

14.

Bardou, Dalal, et al.. (2022). Hair removal in dermoscopy images using variational autoencoders. Skin Research and Technology. 28(3). 445–454. 19 indexed citations

15.

Liu, Xiabi, et al.. (2021). Conventional Machine Learning versus Deep Learning for Magnification Dependent Histopathological Breast Cancer Image Classification: A Comparative Study with Visual Explanation. Diagnostics. 11(3). 528–528. 62 indexed citations

16.

Zhang, Kun, et al.. (2020). HITS centrality based on inter-layer similarity for multilayer temporal networks. Neurocomputing. 423. 220–235. 4 indexed citations

17.

Zhang, Kun, et al.. (2019). A New Centrality Measure Based on Topologically Biased Random Walks for Multilayer Networks. Journal of the Physical Society of Japan. 88(2). 24010–24010. 5 indexed citations

18.

Zhang, Kun, et al.. (2019). A new centrality measure based on random walks for multilayer networks under the framework of tensor computation. Physica A Statistical Mechanics and its Applications. 526. 121000–121000. 11 indexed citations

19.

Bardou, Dalal, et al.. (2018). Classification of Breast Cancer Based on Histology Images Using Convolutional Neural Networks. IEEE Access. 6. 24680–24693. 296 indexed citations breakdown →

20.

Bardou, Dalal, et al.. (2018). Lung sounds classification using convolutional neural networks. Artificial Intelligence in Medicine. 88. 58–69. 170 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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