Dalal AL-Alimi

664 total citations
22 papers, 405 citations indexed

About

Dalal AL-Alimi is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dalal AL-Alimi has authored 22 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Media Technology, 7 papers in Atmospheric Science and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dalal AL-Alimi's work include Remote-Sensing Image Classification (10 papers), Remote Sensing and Land Use (7 papers) and Advanced Image Fusion Techniques (3 papers). Dalal AL-Alimi is often cited by papers focused on Remote-Sensing Image Classification (10 papers), Remote Sensing and Land Use (7 papers) and Advanced Image Fusion Techniques (3 papers). Dalal AL-Alimi collaborates with scholars based in China, Yemen and Egypt. Dalal AL-Alimi's co-authors include Mohammed A. A. Al‐qaness, Mohamed Abd Elaziz, Abdelghani Dahou, Zhihua Cai, Ahmed A. Ewees, Junxia Li, Pingbo Ouyang, Chengzhang Zhu, Ayman Mutahar AlRassas and Guoyong Wu and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Dalal AL-Alimi

18 papers receiving 394 citations

Peers

Dalal AL-Alimi
Yuxuan Li China
Qifan Yang China
Hongchao Ma China
Mina Rezaei Germany
Yachun Mao China
P. Mallikarjuna India
Liqin Cao China
Yuxuan Li China
Dalal AL-Alimi
Citations per year, relative to Dalal AL-Alimi Dalal AL-Alimi (= 1×) peers Yuxuan Li

Countries citing papers authored by Dalal AL-Alimi

Since Specialization
Citations

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

Fields of papers citing papers by Dalal AL-Alimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dalal AL-Alimi

This figure shows the co-authorship network connecting the top 25 collaborators of Dalal AL-Alimi. A scholar is included among the top collaborators of Dalal AL-Alimi 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 AL-Alimi. Dalal AL-Alimi 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.
AL-Alimi, Dalal, Mohammed A. A. Al‐qaness, & Robertas Damaševičius. (2025). A Hybrid Transfer Learning Framework for Enhanced Oil Production Time Series Forecasting. Computers, materials & continua/Computers, materials & continua (Print). 82(2). 3539–3561.
2.
AlRassas, Ayman Mutahar, Dalal AL-Alimi, Kai Zoßeder, & Mohammed A. A. Al‐qaness. (2025). AI-driven predictive framework for CO2 sequestration and enhanced oil recovery: Insights from a depleted oil reservoir. Journal of Cleaner Production. 519. 146054–146054. 2 indexed citations
3.
Al‐qaness, Mohammed A. A., et al.. (2025). Hyperspectral image classification using Uniform Manifold Approximation and Projection with fusion deep learning network. Applied Soft Computing. 180. 113371–113371.
4.
Al‐qaness, Mohammed A. A., et al.. (2025). Multiple lung diseases detection using advanced deep learning model with attention mechanisms and upsampling features. Engineering Applications of Artificial Intelligence. 156. 111038–111038.
5.
Al‐qaness, Mohammed A. A., et al.. (2024). A survey on hand gesture recognition based on surface electromyography: Fundamentals, methods, applications, challenges and future trends. Applied Soft Computing. 166. 112235–112235. 18 indexed citations
6.
Al‐qaness, Mohammed A. A., Guoyong Wu, & Dalal AL-Alimi. (2024). MGCET: MLP-mixer and Graph Convolutional Enhanced Transformer for Hyperspectral Image Classification. Remote Sensing. 16(16). 2892–2892. 3 indexed citations
7.
Wu, Guoyong, Mohammed A. A. Al‐qaness, Dalal AL-Alimi, et al.. (2024). Hyperspectral image classification using graph convolutional network: A comprehensive review. Expert Systems with Applications. 257. 125106–125106. 30 indexed citations
8.
Al‐qaness, Mohammed A. A., Dalal AL-Alimi, Abdelghani Dahou, et al.. (2024). Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey. Archives of Computational Methods in Engineering. 31(6). 3267–3301. 30 indexed citations
9.
AL-Alimi, Dalal & Mohammed A. A. Al‐qaness. (2024). Enhancing forensic blood detection using hyperspectral imaging and advanced preprocessing techniques. Talanta. 283. 127097–127097.
10.
Al‐qaness, Mohammed A. A., Dalal AL-Alimi, Ahmed A. Ewees, et al.. (2024). Fall Detection Systems for Internet of Medical Things Based on Wearable Sensors: A Review. IEEE Internet of Things Journal. 11(21). 34797–34810. 15 indexed citations
11.
Al‐qaness, Mohammed A. A., Dalal AL-Alimi, Abdelghani Dahou, et al.. (2024). Land use/land cover (LULC) classification using hyperspectral images: a review. Geo-spatial Information Science. 28(2). 345–386. 23 indexed citations
12.
AL-Alimi, Dalal, Ayman Mutahar AlRassas, Mohammed A. A. Al‐qaness, et al.. (2023). TLIA: Time-series forecasting model using long short-term memory integrated with artificial neural networks for volatile energy markets. Applied Energy. 343. 121230–121230. 25 indexed citations
13.
AL-Alimi, Dalal, Zhihua Cai, & Mohammed A. A. Al‐qaness. (2023). FHIC: Fast Hyperspectral Image Classification Model Using ETR Dimensionality Reduction and ELU Activation Function. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–17. 7 indexed citations
14.
Zhu, Chengzhang, et al.. (2022). Detection of Diabetic Retinopathy in Retinal Fundus Images Using CNN Classification Models. Electronics. 11(17). 2740–2740. 54 indexed citations
15.
AL-Alimi, Dalal, et al.. (2022). IDA: Improving distribution analysis for reducing data complexity and dimensionality in hyperspectral images. Pattern Recognition. 134. 109096–109096. 15 indexed citations
16.
AL-Alimi, Dalal, et al.. (2022). ETR: Enhancing transformation reduction for reducing dimensionality and classification complexity in hyperspectral images. Expert Systems with Applications. 213. 118971–118971. 20 indexed citations
17.
AlRassas, Ayman Mutahar, et al.. (2022). Developing the efficiency-modeling framework to explore the potential of CO2 storage capacity of S3 reservoir, Tahe oilfield, China. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 8(4). 27 indexed citations
18.
19.
AL-Alimi, Dalal, et al.. (2020). Mask R-CNN for Geospatial Object Detection. International Journal of Information Technology and Computer Science. 12(5). 63–72. 6 indexed citations
20.
AL-Alimi, Dalal, et al.. (2019). Multi-Scale Geospatial Object Detection Based on Shallow-Deep Feature Extraction. Remote Sensing. 11(21). 2525–2525. 21 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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