Azadeh Alavi

972 total citations
33 papers, 446 citations indexed

About

Azadeh Alavi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Molecular Biology. According to data from OpenAlex, Azadeh Alavi has authored 33 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 5 papers in Molecular Biology. Recurrent topics in Azadeh Alavi's work include Face and Expression Recognition (8 papers), Face recognition and analysis (7 papers) and Video Surveillance and Tracking Methods (6 papers). Azadeh Alavi is often cited by papers focused on Face and Expression Recognition (8 papers), Face recognition and analysis (7 papers) and Video Surveillance and Tracking Methods (6 papers). Azadeh Alavi collaborates with scholars based in Australia, United States and India. Azadeh Alavi's co-authors include Rama Chellappa, Amit Kumar, Vishal M. Patel, Brian C. Lovell, Jun-Cheng Chen, Rajeev Ranjan, Arnold Wiliem, Conrad Sanderson, David B. Ascher and Minyi Li and has published in prestigious journals such as Nature Genetics, Sensors and Pattern Recognition.

In The Last Decade

Azadeh Alavi

30 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Azadeh Alavi Australia	11	282	77	77	59	47	33	446
Yu-Tai Ching Taiwan	12	118 0.4×	28 0.4×	26 0.3×	31 0.5×	35 0.7×	38	341
Mikkel B. Stegmann Denmark	13	482 1.7×	48 0.6×	176 2.3×	21 0.4×	49 1.0×	27	792
Minghui Zhang China	14	165 0.6×	18 0.2×	20 0.3×	49 0.8×	65 1.4×	57	483
Sheng He Netherlands	14	442 1.6×	36 0.5×	154 2.0×	33 0.6×	123 2.6×	23	661
Pan Hu China	9	99 0.4×	39 0.5×	99 1.3×	38 0.6×	12 0.3×	46	348
Zhen Gao China	12	66 0.2×	29 0.4×	39 0.5×	30 0.5×	12 0.3×	53	424
Marı́a J. Carreira Spain	14	226 0.8×	72 0.9×	132 1.7×	90 1.5×	20 0.4×	39	802
Shumoos Al-Fahdawi United Kingdom	11	208 0.7×	169 2.2×	169 2.2×	9 0.2×	13 0.3×	16	674
Wenjin Lu China	12	307 1.1×	15 0.2×	286 3.7×	53 0.9×	18 0.4×	34	566
Yuan‐Yu Tsai Taiwan	12	299 1.1×	30 0.4×	97 1.3×	11 0.2×	10 0.2×	40	486

Countries citing papers authored by Azadeh Alavi

Since Specialization

Citations

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

Fields of papers citing papers by Azadeh Alavi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azadeh Alavi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mahmoodian, Mojtaba, et al.. (2025). Application of Machine Learning for Real-Time Structural Integrity Assessment of Bridges. CivilEng. 6(1). 2–2. 2 indexed citations

Islam, Saniyat, et al.. (2025). A Systematic Review of Reimagining Fashion and Textiles Sustainability with AI: A Circular Economy Approach. Applied Sciences. 15(10). 5691–5691. 2 indexed citations

Alavi, Azadeh, et al.. (2025). A Review on the Applications of GANs for 3D Medical Image Analysis. Applied Sciences. 15(20). 11219–11219.

Manuguerra, Maurizio, et al.. (2025). The Zone of Proximal Employment for sustainable careers: modelling regenerative work trajectories of the career development workforce in Australian universities. Journal of Higher Education Policy and Management. 48(2-3). 184–202.

Mahmoodian, Mojtaba, et al.. (2025). A review on the applications of artificial neural network techniques for accelerating finite element analysis in the civil engineering domain. Computers & Structures. 310. 107698–107698. 9 indexed citations

Alavi, Azadeh, et al.. (2024). A Critical Analysis of Deep Semi-Supervised Learning Approaches for Enhanced Medical Image Classification. Information. 15(5). 246–246. 5 indexed citations

Alavi, Azadeh, et al.. (2024). Semi-Supervised Deep Subspace Embedding for Binary Classification of Sella Turcica. Applied Sciences. 14(23). 11154–11154. 1 indexed citations

Goyal, Puneet, et al.. (2024). Dual-phase neural networks for feature extraction and ensemble learning for recognizing human health activities. Applied Soft Computing. 169. 112550–112550.

FitzGerald, John, et al.. (2024). Real-Time Personal Protective Equipment Non-Compliance Recognition on AI Edge Cameras. Electronics. 13(15). 2990–2990. 9 indexed citations

10.

Sá, Alex G. C. de, et al.. (2024). PRIMITI: A computational approach for accurate prediction of miRNA-target mRNA interaction. Computational and Structural Biotechnology Journal. 23. 3030–3039. 3 indexed citations

11.

Liu, Ziyu, Azadeh Alavi, Minyi Li, & Xiang Zhang. (2023). Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review. Sensors. 23(9). 4221–4221. 33 indexed citations

12.

Porteous, Julie, et al.. (2023). SellaMorph-Net: A Novel Machine Learning Approach for Precise Segmentation of Sella Turcica Complex Structures in Full Lateral Cephalometric Images. Applied Sciences. 13(16). 9114–9114. 3 indexed citations

13.

Sá, Alex G. C. de, et al.. (2021). TSMDA: Target and symptom-based computational model for miRNA-disease-association prediction. Molecular Therapy — Nucleic Acids. 26. 536–546. 10 indexed citations

14.

Kumar, Amit, Azadeh Alavi, & Rama Chellappa. (2017). KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors. 258–265. 96 indexed citations

15.

Alavi, Azadeh, et al.. (2017). Analysis of adaptability of deep features for verifying blurred and cross-resolution images. 1–8. 2 indexed citations

16.

Xu, Hongyu, Jingjing Zheng, Azadeh Alavi, & Rama Chellappa. (2016). Learning a structured dictionary for video-based face recognition. 1–9. 8 indexed citations

17.

Alavi, Azadeh, et al.. (2016). Discriminative Log-Euclidean feature learning for sparse representation-based recognition of faces from videos. International Joint Conference on Artificial Intelligence. 3359–3367. 7 indexed citations

18.

Xu, Hongyu, Jingjing Zheng, Azadeh Alavi, & Rama Chellappa. (2016). Template regularized sparse coding for face verification. 6493. 1448–1454. 4 indexed citations

19.

Ranjan, Rajeev, Jun-Cheng Chen, Amit Kumar, et al.. (2015). Unconstrained Age Estimation with Deep Convolutional Neural Networks. 351–359. 36 indexed citations

20.

Yang, Yan, Arnold Wiliem, Azadeh Alavi, & Peter Hobson. (2013). Classification of human epithelial type 2 cell images using independent component analysis. 733–737. 10 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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