Ahmad Shaf

935 total citations
41 papers, 570 citations indexed

About

Ahmad Shaf is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, Ahmad Shaf has authored 41 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 12 papers in Neurology. Recurrent topics in Ahmad Shaf's work include Advanced Neural Network Applications (13 papers), Brain Tumor Detection and Classification (12 papers) and AI in cancer detection (7 papers). Ahmad Shaf is often cited by papers focused on Advanced Neural Network Applications (13 papers), Brain Tumor Detection and Classification (12 papers) and AI in cancer detection (7 papers). Ahmad Shaf collaborates with scholars based in Pakistan, Saudi Arabia and Poland. Ahmad Shaf's co-authors include Tariq Ali, Muhammad Irfan, Muhammad Aamir, Abdullah A. Asiri, Samar M. Alqhtani, Sana Yasin, Umar Draz, Ali Alghamdi, Saeed Alqahtani and Saifur Rahman and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Ahmad Shaf

40 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahmad Shaf Pakistan 15 212 211 131 125 114 41 570
Samar M. Alqhtani Saudi Arabia 14 151 0.7× 134 0.6× 178 1.4× 97 0.8× 82 0.7× 45 517
Md. Saikat Islam Khan Bangladesh 10 159 0.8× 117 0.6× 231 1.8× 86 0.7× 93 0.8× 19 692
Feixiang Zhou China 10 212 1.0× 314 1.5× 187 1.4× 69 0.6× 78 0.7× 21 645
Atif Rizwan South Korea 15 70 0.3× 65 0.3× 161 1.2× 37 0.3× 48 0.4× 48 508
Oumaima Saidani Saudi Arabia 15 79 0.4× 113 0.5× 200 1.5× 67 0.5× 57 0.5× 58 521
Chitapong Wechtaisong Thailand 14 66 0.3× 144 0.7× 121 0.9× 41 0.3× 53 0.5× 26 442
Suhail Ashfaq Butt Pakistan 11 105 0.5× 92 0.4× 79 0.6× 64 0.5× 178 1.6× 18 465
Mahmoud Khaled Abd-Ellah Egypt 11 373 1.8× 307 1.5× 181 1.4× 112 0.9× 29 0.3× 21 659
Claudio Marrocco Italy 14 38 0.2× 257 1.2× 380 2.9× 183 1.5× 40 0.4× 46 656
Hadeel Alsolai Saudi Arabia 12 50 0.2× 113 0.5× 199 1.5× 105 0.8× 81 0.7× 32 604

Countries citing papers authored by Ahmad Shaf

Since Specialization
Citations

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

Fields of papers citing papers by Ahmad Shaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmad Shaf

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmad Shaf. A scholar is included among the top collaborators of Ahmad Shaf 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 Ahmad Shaf. Ahmad Shaf 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.
Almasabi, Saleh, et al.. (2024). Securing Smart Grid Data With Blockchain and Wireless Sensor Networks: A Collaborative Approach. IEEE Access. 12. 19181–19198. 15 indexed citations
2.
Rahman, Saifur, et al.. (2024). An Optimal Delay Tolerant and Improved Data Collection Schema Using AUVs for Underwater Wireless Sensor Networks. IEEE Access. 12. 30146–30163. 1 indexed citations
3.
Shaf, Ahmad, Tariq Ali, Samar M. Alqhtani, et al.. (2024). A Novel Web Framework for Cervical Cancer Detection System: A Machine Learning Breakthrough. IEEE Access. 12. 41542–41556. 5 indexed citations
4.
Irfan, Muhammad, Ahmad Shaf, Tariq Ali, et al.. (2024). Global horizontal irradiance prediction for renewable energy system in Najran and Riyadh. AIP Advances. 14(3). 1 indexed citations
5.
Shaf, Ahmad, et al.. (2024). Optimizing Bearing Fault Detection: CNN-LSTM with Attentive TabNet for Electric Motor Systems. Computer Modeling in Engineering & Sciences. 141(3). 2399–2420. 4 indexed citations
6.
Asiri, Abdullah A., Ahmad Shaf, Tariq Ali, et al.. (2024). Enhancing brain tumor diagnosis: an optimized CNN hyperparameter model for improved accuracy and reliability. PeerJ Computer Science. 10. e1878–e1878. 18 indexed citations
7.
Asiri, Abdullah A., Ahmad Shaf, Tariq Ali, et al.. (2024). Advancing brain tumor detection: harnessing the Swin Transformer’s power for accurate classification and performance analysis. PeerJ Computer Science. 10. e1867–e1867. 11 indexed citations
8.
Aamir, Muhammad, Muhammad Waseem Iqbal, Muhammad Usman Ashraf, et al.. (2024). AMDDLmodel: Android smartphones malware detection using deep learning model. PLoS ONE. 19(1). e0296722–e0296722. 17 indexed citations
9.
Asiri, Abdullah A., Ahmad Shaf, Tariq Ali, et al.. (2023). Exploring the Power of Deep Learning: Fine-Tuned Vision Transformer for Accurate and Efficient Brain Tumor Detection in MRI Scans. Diagnostics. 13(12). 2094–2094. 38 indexed citations
10.
Asiri, Abdullah A., Ahmad Shaf, Tariq Ali, et al.. (2023). Brain Tumor Detection and Classification Using Fine-Tuned CNN with ResNet50 and U-Net Model: A Study on TCGA-LGG and TCIA Dataset for MRI Applications. Life. 13(7). 1449–1449. 50 indexed citations
11.
Irfan, Muhammad, Ahmad Shaf, Tariq Ali, et al.. (2023). Multi-region electricity demand prediction with ensemble deep neural networks. PLoS ONE. 18(5). e0285456–e0285456. 6 indexed citations
12.
Ghanim, Abdulnoor A. J., Ahmad Shaf, Tariq Ali, et al.. (2023). An Improved Flood Susceptibility Assessment in Jeddah, Saudi Arabia, Using Advanced Machine Learning Techniques. Water. 15(14). 2511–2511. 26 indexed citations
13.
Irfan, Muhammad, Ahmad Shaf, Tariq Ali, et al.. (2023). Effectiveness of Deep Learning Models for Brain Tumor Classification and Segmentation. Computers, materials & continua/Computers, materials & continua (Print). 76(1). 711–729. 2 indexed citations
14.
Irfan, Muhammad, et al.. (2023). An intelligent framework to measure the effects of COVID-19 on the mental health of medical staff. PLoS ONE. 18(6). e0286155–e0286155. 3 indexed citations
15.
Ali, Usman, Javed Ferzund, Ahmad Shaf, et al.. (2023). Enhanced Adaptive Brain-Computer Interface Approach for Intelligent Assistance to Disabled Peoples. Computer Systems Science and Engineering. 46(2). 1355–1369. 1 indexed citations
16.
Ferzund, Javed, et al.. (2022). 360° Retail Business Analytics by Adopting Hybrid Machine Learning and a Business Intelligence Approach. Sustainability. 14(19). 11942–11942. 5 indexed citations
17.
Asiri, Abdullah A., Ahmad Shaf, Tariq Ali, et al.. (2022). Multi-Level Deep Generative Adversarial Networks for Brain Tumor Classification on Magnetic Resonance Images. Intelligent Automation & Soft Computing. 36(1). 127–143. 28 indexed citations
18.
Asiri, Abdullah A., Tariq Ali, Ahmad Shaf, et al.. (2022). A Novel Inherited Modeling Structure of Automatic Brain Tumor Segmentation from MRI. Computers, materials & continua/Computers, materials & continua (Print). 73(2). 3983–4002. 9 indexed citations
19.
Aamir, Muhammad, Tariq Ali, Muhammad Irfan, et al.. (2021). Natural Disasters Intensity Analysis and Classification Based on Multispectral Images Using Multi-Layered Deep Convolutional Neural Network. Sensors. 21(8). 2648–2648. 32 indexed citations
20.
Ali, Tariq, Muhammad Irfan, Ahmad Shaf, et al.. (2021). Real Time Multipurpose Smart Waste Classification Model for Efficient Recycling in Smart Cities Using Multilayer Convolutional Neural Network and Perceptron. Sensors. 21(14). 4916–4916. 37 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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