Abdulaziz Al‐Ali

907 total citations
34 papers, 567 citations indexed

About

Abdulaziz Al‐Ali is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Abdulaziz Al‐Ali has authored 34 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Abdulaziz Al‐Ali's work include Electrochemical sensors and biosensors (5 papers), Spam and Phishing Detection (3 papers) and Electricity Theft Detection Techniques (3 papers). Abdulaziz Al‐Ali is often cited by papers focused on Electrochemical sensors and biosensors (5 papers), Spam and Phishing Detection (3 papers) and Electricity Theft Detection Techniques (3 papers). Abdulaziz Al‐Ali collaborates with scholars based in Qatar, France and United States. Abdulaziz Al‐Ali's co-authors include Abdulla Al‐Ali, Sara Al-Emadi, John‐John Cabibihan, Kishor Kumar Sadasivuni, Rayaz A. Malik, Booki Min, Deepalekshmi Ponnamma, Dayakar Thatikayala, Abdelhak Belhi and Abdelaziz Bouras and has published in prestigious journals such as Energy, Sensors and Pattern Recognition.

In The Last Decade

Abdulaziz Al‐Ali

28 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdulaziz Al‐Ali Qatar 12 186 133 83 82 80 34 567
Jung‐Tae Kim South Korea 12 126 0.7× 80 0.6× 153 1.8× 48 0.6× 28 0.3× 91 590
Ge Song China 14 121 0.7× 27 0.2× 136 1.6× 26 0.3× 42 0.5× 41 594
Yanci Zhang China 13 130 0.7× 120 0.9× 40 0.5× 17 0.2× 41 0.5× 63 463
Shenlong Wang Canada 6 203 1.1× 155 1.2× 21 0.3× 22 0.3× 39 0.5× 6 476
Anran Wang China 13 380 2.0× 335 2.5× 50 0.6× 63 0.8× 82 1.0× 26 784
Mohammad Mahdi Ahmadi Iran 13 438 2.4× 73 0.5× 466 5.6× 37 0.5× 47 0.6× 32 842
Guillermo Glez-de-Rivera Spain 10 115 0.6× 63 0.5× 128 1.5× 52 0.6× 20 0.3× 32 384
Guangsheng Feng China 13 173 0.9× 63 0.5× 15 0.2× 51 0.6× 183 2.3× 59 583
Jongwon Yoon South Korea 15 382 2.1× 86 0.6× 23 0.3× 24 0.3× 17 0.2× 53 682
Danyang Li China 13 306 1.6× 166 1.2× 40 0.5× 6 0.1× 110 1.4× 28 629

Countries citing papers authored by Abdulaziz Al‐Ali

Since Specialization
Citations

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

Fields of papers citing papers by Abdulaziz Al‐Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abdulaziz Al‐Ali. 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 Abdulaziz Al‐Ali. The network helps show where Abdulaziz Al‐Ali may publish in the future.

Co-authorship network of co-authors of Abdulaziz Al‐Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Abdulaziz Al‐Ali. A scholar is included among the top collaborators of Abdulaziz Al‐Ali 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 Abdulaziz Al‐Ali. Abdulaziz Al‐Ali 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.
Hamdy, M. Y., et al.. (2025). Beyond a single solution: Liquefied natural gas process optimization using niching-enhanced meta-heuristics. Engineering Applications of Artificial Intelligence. 158. 111119–111119.
2.
Al‐Ali, Abdulaziz, et al.. (2025). How effective are synthetic attack models to detect real-world energy theft?. Energy. 335. 137763–137763.
3.
Al‐Janabi, Ali, et al.. (2025). A multidisciplinary review of long COVID to address the challenges in diagnosis and updated management guidelines. Annals of Medicine and Surgery. 87(4). 2105–2117. 1 indexed citations
4.
Al‐Ali, Abdulaziz, et al.. (2024). Boosted multilayer feedforward neural network with multiple output layers. Pattern Recognition. 156. 110740–110740.
5.
Al‐Ali, Abdulaziz, et al.. (2024). Smart grid public datasets: Characteristics and associated applications. IET Smart Grid. 7(5). 503–530. 9 indexed citations
6.
Haouari, Fatima, et al.. (2023). Tahaqqaq: A Real-Time System for Assisting Twitter Users in Arabic Claim Verification. Qatar University QSpace (Qatar University). 3170–3174. 3 indexed citations
7.
Elsayed, Tamer, et al.. (2023). This is not new! Spotting previously-verified claims over Twitter. Information Processing & Management. 60(4). 103414–103414. 6 indexed citations
8.
Gad, Hoda, Ibrahim Mohammed, Abdulaziz Al‐Ali, et al.. (2023). Longitudinal Studies of Wearables in Patients with Diabetes: Key Issues and Solutions. Sensors. 23(11). 5003–5003. 4 indexed citations
9.
Al‐Ali, Abdulaziz, et al.. (2023). Heart Rate as a Predictor of Challenging Behaviours among Children with Autism from Wearable Sensors in Social Robot Interactions. Robotics. 12(2). 55–55. 13 indexed citations
10.
Al‐Ali, Abdulaziz, et al.. (2023). Energy Theft Detection Using the Wasserstein Distance on Residuals. Qatar University QSpace (Qatar University). 1–6. 1 indexed citations
11.
Al‐Ali, Abdulaziz, et al.. (2023). Analysis of Predictive Models for Revealing Household Characteristics using Smart Grid Data. Qatar University QSpace (Qatar University). 23. 1–5. 1 indexed citations
12.
Radwan, Ahmed Bahgat, John‐John Cabibihan, Abdulaziz Al‐Ali, et al.. (2021). Superior Non-Invasive Glucose Sensor Using Bimetallic CuNi Nanospecies Coated Mesoporous Carbon. Biosensors. 11(11). 463–463. 17 indexed citations
13.
Maurya, Muni Raj, et al.. (2021). Nonenzymatic Electrochemical Sensor Based on CuO-MgO Composite for Dopamine Detection. IEEE Sensors Journal. 21(22). 25597–25605. 32 indexed citations
14.
Al‐Ali, Abdulaziz, et al.. (2021). Detection of Challenging Behaviours of Children with Autism Using Wearable Sensors during Interactions with Social Robots. Qatar University QSpace (Qatar University). 852–857. 10 indexed citations
15.
Al-Emadi, Sara, Abdulla Al‐Ali, & Abdulaziz Al‐Ali. (2021). Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks. Sensors. 21(15). 4953–4953. 64 indexed citations
16.
Belhi, Abdelhak, Abdelaziz Bouras, Abdulaziz Al‐Ali, & Sebti Foufou. (2020). A machine learning framework for enhancing digital experiences in cultural heritage. Journal of Enterprise Information Management. 36(3). 734–746. 29 indexed citations
17.
Thatikayala, Dayakar, Deepalekshmi Ponnamma, Kishor Kumar Sadasivuni, et al.. (2020). Progress of Advanced Nanomaterials in the Non-Enzymatic Electrochemical Sensing of Glucose and H2O2. Biosensors. 10(11). 151–151. 104 indexed citations
18.
Kannan, Karthik, et al.. (2020). Construction of Modified CuO-Co3O4-ZnO Electrode for Acetone Detection in Breath. Qatar University QSpace (Qatar University). 1 indexed citations
19.
Belhi, Abdelhak, et al.. (2019). Towards an Inpainting Framework for Visual Cultural Heritage. HAL (Le Centre pour la Communication Scientifique Directe). 602–607. 19 indexed citations
20.
Belhi, Abdelhak, Abdulaziz Al‐Ali, Abdelaziz Bouras, et al.. (2019). Deep Learning and Cultural Heritage: The CEPROQHA Project Case Study. Qatar University QSpace (Qatar University). 1–5. 9 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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