Haikel Alhichri

3.3k total citations · 2 hit papers
71 papers, 2.6k citations indexed

About

Haikel Alhichri is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Haikel Alhichri has authored 71 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 32 papers in Media Technology and 19 papers in Artificial Intelligence. Recurrent topics in Haikel Alhichri's work include Remote-Sensing Image Classification (32 papers), Advanced Image and Video Retrieval Techniques (23 papers) and ECG Monitoring and Analysis (13 papers). Haikel Alhichri is often cited by papers focused on Remote-Sensing Image Classification (32 papers), Advanced Image and Video Retrieval Techniques (23 papers) and ECG Monitoring and Analysis (13 papers). Haikel Alhichri collaborates with scholars based in Saudi Arabia, Italy and Canada. Haikel Alhichri's co-authors include Yakoub Bazi, Naif Alajlan, Farid Melgani, Nassim Ammour, Mohamad Mahmoud Al Rahhal, Ronald R. Yager, Mansour Zuair, Salim Malek, Esam Othman and Bilel Benjdira and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Haikel Alhichri

68 papers receiving 2.5k citations

Hit Papers

Deep learning approach for active classification of elect... 2016 2026 2019 2022 2016 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haikel Alhichri Saudi Arabia 24 869 815 624 560 448 71 2.6k
Mohamad Mahmoud Al Rahhal Saudi Arabia 20 651 0.7× 487 0.6× 442 0.7× 439 0.8× 350 0.8× 44 1.9k
Huimin Zhao China 26 872 1.0× 858 1.1× 354 0.6× 39 0.1× 420 0.9× 117 2.5k
Ashish Kumar Bhandari India 33 2.3k 2.7× 1.4k 1.7× 729 1.2× 41 0.1× 99 0.2× 125 3.5k
Yun Liu China 34 3.9k 4.4× 825 1.0× 737 1.2× 61 0.1× 454 1.0× 114 5.2k
Hang Zhang China 19 2.5k 2.9× 451 0.6× 1.3k 2.1× 56 0.1× 88 0.2× 80 4.1k
Maryam Imani Iran 22 420 0.5× 867 1.1× 285 0.5× 48 0.1× 62 0.1× 147 1.9k
Zhiming Luo China 28 2.9k 3.3× 1.6k 1.9× 1.2k 2.0× 58 0.1× 165 0.4× 99 5.2k
Hao Tang China 34 2.8k 3.3× 734 0.9× 721 1.2× 26 0.0× 170 0.4× 192 4.1k
Shiv Ram Dubey India 31 1.9k 2.2× 1.6k 2.0× 825 1.3× 24 0.0× 122 0.3× 69 4.7k

Countries citing papers authored by Haikel Alhichri

Since Specialization
Citations

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

Fields of papers citing papers by Haikel Alhichri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haikel Alhichri

This figure shows the co-authorship network connecting the top 25 collaborators of Haikel Alhichri. A scholar is included among the top collaborators of Haikel Alhichri 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 Haikel Alhichri. Haikel Alhichri 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.
Alhichri, Haikel, et al.. (2025). CoviSwin: A Deep Vision Transformer for Automatic Segmentation of COVID-19 CT Scans. Bioengineering. 12(11). 1227–1227.
2.
Ammour, Nassim, et al.. (2023). Deep Contrastive Learning-Based Model for ECG Biometrics. Applied Sciences. 13(5). 3070–3070. 9 indexed citations
3.
Alshamrani, Saleh, Haikel Alhichri, Yakoub Bazi, & Naif Alajlan. (2023). Prototypical Networks for Remote Sensing Scene Classification : Episodic Versus Classical Training. 100–105.
4.
Alhichri, Haikel, et al.. (2022). MobileUNetV3—A Combined UNet and MobileNetV3 Architecture for Spinal Cord Gray Matter Segmentation. Electronics. 11(15). 2388–2388. 6 indexed citations
5.
Islam, Md Saiful, et al.. (2022). Heartprint: A Dataset of Multisession ECG Signal with Long Interval Captured from Fingers for Biometric Recognition. Data. 7(10). 141–141. 15 indexed citations
6.
Bashmal, Laila, et al.. (2021). UAV Image Multi-Labeling with Data-Efficient Transformers. Applied Sciences. 11(9). 3974–3974. 15 indexed citations
7.
Ammour, Nassim, Haikel Alhichri, Yakoub Bazi, & Naif Alajlan. (2021). LwF-ECG: Learning-without-forgetting approach for electrocardiogram heartbeat classification based on memory with task selector. Computers in Biology and Medicine. 137. 104807–104807. 13 indexed citations
8.
Bazi, Yakoub, et al.. (2021). Unified Generative Adversarial Networks for Multidomain Fingerprint Presentation Attack Detection. Entropy. 23(8). 1089–1089. 5 indexed citations
9.
Alhichri, Haikel, et al.. (2021). Classification of Remote Sensing Images Using EfficientNet-B3 CNN Model With Attention. IEEE Access. 9. 14078–14094. 228 indexed citations breakdown →
10.
Alhichri, Haikel, et al.. (2021). SSDAN: Multi-Source Semi-Supervised Domain Adaptation Network for Remote Sensing Scene Classification. Remote Sensing. 13(19). 3861–3861. 28 indexed citations
11.
Rahhal, Mohamad Mahmoud Al, et al.. (2020). Adversarial Learning for Knowledge Adaptation From Multiple Remote Sensing Sources. IEEE Geoscience and Remote Sensing Letters. 18(8). 1451–1455. 13 indexed citations
12.
Ammour, Nassim, Yakoub Bazi, Haikel Alhichri, & Naif Alajlan. (2020). Continual Learning Approach for Remote Sensing Scene Classification. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 13 indexed citations
13.
Alhichri, Haikel, Yakoub Bazi, & Naif Alajlan. (2020). Assisting the Visually Impaired in Multi-object Scene Description Using OWA-Based Fusion of CNN Models. Arabian Journal for Science and Engineering. 45(12). 10511–10527. 7 indexed citations
14.
Bazi, Yakoub, et al.. (2020). Deep Open-Set Domain Adaptation for Cross-Scene Classification based on Adversarial Learning and Pareto Ranking. Remote Sensing. 12(11). 1716–1716. 33 indexed citations
15.
Bazi, Yakoub, Mohamad Mahmoud Al Rahhal, Haikel Alhichri, & Naif Alajlan. (2019). Simple Yet Effective Fine-Tuning of Deep CNNs Using an Auxiliary Classification Loss for Remote Sensing Scene Classification. Remote Sensing. 11(24). 2908–2908. 83 indexed citations
16.
Alhichri, Haikel, Yakoub Bazi, Naif Alajlan, & Bilel Benjdira. (2019). Helping the Visually Impaired See via Image Multi-labeling Based on SqueezeNet CNN. Applied Sciences. 9(21). 4656–4656. 28 indexed citations
17.
Rahhal, Mohamad Mahmoud Al, et al.. (2018). Learning a Multi-Branch Neural Network from Multiple Sources for Knowledge Adaptation in Remote Sensing Imagery. Remote Sensing. 10(12). 1890–1890. 33 indexed citations
18.
Bashmal, Laila, Yakoub Bazi, Haikel Alhichri, et al.. (2018). Siamese-GAN: Learning Invariant Representations for Aerial Vehicle Image Categorization. Remote Sensing. 10(2). 351–351. 49 indexed citations
19.
Alhichri, Haikel, et al.. (2018). Tile-Based Semisupervised Classification of Large-Scale VHR Remote Sensing Images. Journal of Sensors. 2018. 1–14. 16 indexed citations
20.
Ammour, Nassim, Haikel Alhichri, Yakoub Bazi, et al.. (2017). Deep Learning Approach for Car Detection in UAV Imagery. Remote Sensing. 9(4). 312–312. 242 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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