Adeeb Noor

1.2k total citations
37 papers, 751 citations indexed

About

Adeeb Noor is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Adeeb Noor has authored 37 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Molecular Biology and 6 papers in Health Information Management. Recurrent topics in Adeeb Noor's work include Artificial Intelligence in Healthcare (5 papers), Machine Learning in Healthcare (5 papers) and Biomedical Text Mining and Ontologies (5 papers). Adeeb Noor is often cited by papers focused on Artificial Intelligence in Healthcare (5 papers), Machine Learning in Healthcare (5 papers) and Biomedical Text Mining and Ontologies (5 papers). Adeeb Noor collaborates with scholars based in Saudi Arabia, Pakistan and Egypt. Adeeb Noor's co-authors include Redhwan Nour, Liaqat Ali, Ashir Javeed, Shijie Zhou, Yongjian Liao, Noorbakhsh Amiri Golilarz, Javed Ali Khan, Xingzhong Xiong, Syed Bukhari and Yakubu Imrana and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Adeeb Noor

36 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adeeb Noor Saudi Arabia 11 323 291 103 85 84 37 751
Jalaluddin Khan China 14 504 1.6× 493 1.7× 140 1.4× 79 0.9× 223 2.7× 42 1.1k
Muhammad Hammad Memon China 15 554 1.7× 586 2.0× 135 1.3× 78 0.9× 200 2.4× 35 1.2k
Salah Ud Din China 14 318 1.0× 475 1.6× 91 0.9× 55 0.6× 118 1.4× 25 905
Gokulnath Chandra Babu India 11 179 0.6× 293 1.0× 213 2.1× 54 0.6× 94 1.1× 25 827
Ashok Ghatol India 16 222 0.7× 331 1.1× 51 0.5× 247 2.9× 27 0.3× 73 884
Javad Hassannataj Joloudari Iran 14 171 0.5× 350 1.2× 138 1.3× 75 0.9× 187 2.2× 33 811
Hamid Saadatfar Iran 12 122 0.4× 216 0.7× 118 1.1× 27 0.3× 51 0.6× 31 551
Preeti Nagrath India 11 168 0.5× 336 1.2× 91 0.9× 36 0.4× 293 3.5× 61 1.1k
Pintu Chandra Shill Bangladesh 13 129 0.4× 267 0.9× 17 0.2× 23 0.3× 88 1.0× 77 553
Debahuti Mishra India 15 98 0.3× 236 0.8× 31 0.3× 119 1.4× 53 0.6× 71 693

Countries citing papers authored by Adeeb Noor

Since Specialization
Citations

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

Fields of papers citing papers by Adeeb Noor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adeeb Noor

This figure shows the co-authorship network connecting the top 25 collaborators of Adeeb Noor. A scholar is included among the top collaborators of Adeeb Noor 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 Adeeb Noor. Adeeb Noor 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.
Hussain, Izhar, et al.. (2025). Optimizing electric vehicle energy consumption prediction through machine learning and ensemble approaches. Scientific Reports. 15(1). 29065–29065. 3 indexed citations
2.
Javeed, Ashir, Liaqat Ali, Redhwan Nour, Adeeb Noor, & Noorbakhsh Amiri Golilarz. (2025). Handwriting-Based Detection of Schizophrenia and Bipolar Disorder Using Machine Learning. IEEE Sensors Journal. 25(5). 9113–9120. 2 indexed citations
3.
Memon, Sufyan Ali, et al.. (2025). Advanced data association technique using integrated track splitting filter for multi-target tracking in clutter and occlusion. Expert Systems with Applications. 277. 127193–127193. 1 indexed citations
4.
Noor, Adeeb, et al.. (2025). AI-based testing of urine containing penta hybrid nanoparticles within a charged bioactive rotational channel under strong magnetic fields: Implications for bioengineering. International Communications in Heat and Mass Transfer. 164. 108852–108852. 7 indexed citations
5.
Hussain, Izhar, et al.. (2025). Evaluating machine learning algorithms for energy consumption prediction in electric vehicles: A comparative study. Scientific Reports. 15(1). 16124–16124. 9 indexed citations
6.
Imrana, Yakubu, et al.. (2024). CNN-GRU-FF: a double-layer feature fusion-based network intrusion detection system using convolutional neural network and gated recurrent units. Complex & Intelligent Systems. 10(3). 3353–3370. 24 indexed citations
7.
Khan, Muhammad Asif, et al.. (2024). SASAN: ground truth for the effective segmentation and classification of skin cancer using biopsy images. Diagnosis. 11(3). 283–294. 1 indexed citations
8.
Ali, Liaqat, Ashir Javeed, Adeeb Noor, et al.. (2024). Parkinson’s disease detection based on features refinement through L1 regularized SVM and deep neural network. Scientific Reports. 14(1). 1333–1333. 36 indexed citations
9.
Javeed, Ashir, et al.. (2024). Breaking barriers: a statistical and machine learning-based hybrid system for predicting dementia. Frontiers in Bioengineering and Biotechnology. 11. 1336255–1336255. 7 indexed citations
10.
Znaidia, Sami, et al.. (2023). Coupled Fixed Point and Hybrid Generalized Integral Transform Approach to Analyze Fractal Fractional Nonlinear Coupled Burgers Equation. Fractal and Fractional. 7(7). 551–551. 5 indexed citations
11.
El-Beltagy, Mohamed A., et al.. (2023). A Study of The Stochastic Burgers’ Equation Using The Dynamical Orthogonal Method. Axioms. 12(2). 152–152. 1 indexed citations
12.
Khan, Sajid Ullah, et al.. (2023). Deep Learning-Based Noise Type Classification and Removal for Drone Image Restoration. Arabian Journal for Science and Engineering. 49(3). 4287–4306. 3 indexed citations
13.
14.
Ragab, Mahmoud, Samah Alshehri, Hibah M. Aldawsari, et al.. (2022). COVID-19 Identification System Using Transfer Learning Technique With Mobile-NetV2 and Chest X-Ray Images. Frontiers in Public Health. 10. 819156–819156. 5 indexed citations
15.
16.
Mir, Javid Iqbal, et al.. (2021). COVID-19 related treatment and outcomes among COVID-19 ICU patients: A retrospective cohort study. Journal of Infection and Public Health. 14(9). 1274–1278. 5 indexed citations
17.
Noor, Adeeb, et al.. (2020). A Novel Approach to Ensemble Classifiers: FsBoost-Based Subspace Method. Mathematical Problems in Engineering. 2020. 1–11. 4 indexed citations
18.
Noor, Adeeb, et al.. (2020). A computational approach to predict multi-pathway drug-drug interactions: A case study of irinotecan, a colon cancer medication. Saudi Pharmaceutical Journal. 28(12). 1507–1513. 6 indexed citations
19.
Karwath, Andreas, Ashraf Dallol, Adeeb Noor, et al.. (2019). Ontology-based prediction of cancer driver genes. Scientific Reports. 9(1). 17405–17405. 18 indexed citations
20.
Almasri, Diena M., et al.. (2017). Quality of Life Among Patients with Diabetes Mellitus at King Abdulaziz University Hospital in Saudi Arabia. Value in Health. 20(9). A483–A484.

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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