Ameer Hamza

977 total citations · 1 hit paper
46 papers, 617 citations indexed

About

Ameer Hamza is a scholar working on Media Technology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ameer Hamza has authored 46 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Media Technology, 10 papers in Artificial Intelligence and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ameer Hamza's work include Remote-Sensing Image Classification (7 papers), Advanced Image Fusion Techniques (6 papers) and COVID-19 diagnosis using AI (6 papers). Ameer Hamza is often cited by papers focused on Remote-Sensing Image Classification (7 papers), Advanced Image Fusion Techniques (6 papers) and COVID-19 diagnosis using AI (6 papers). Ameer Hamza collaborates with scholars based in Pakistan, Saudi Arabia and South Korea. Ameer Hamza's co-authors include Muhammad Attique Khan, Majed Alhaisoni, Kiran Jabeen, Robertas Damaševičius, Usman Tariq, Yudong Zhang, Muhammad Attique Khan, Hussain Mobarak Albarakati, Leila Jamel and Rao Arsalan Khushnood and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Construction and Building Materials.

In The Last Decade

Ameer Hamza

38 papers receiving 586 citations

Hit Papers

Breast Cancer Classification from Ultrasound Images Using... 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion
    2022 191 citations Kiran Jabeen, Muhammad Attique Khan et al. profile →

Peers

Ameer Hamza
Jumin Zhao China
Dengao Li China
Sandeep Kumar Mathivanan India
M. G. Sumithra India
Mohammed A.‐M. Salem Egypt
Anabia Sohail Pakistan
Osman Nuri Uçan Türkiye
Xulei Yang Singapore
Shamik Tiwari India
Bayram Akdemïr Türkiye
Jumin Zhao China
Ameer Hamza
Citations per year, relative to Ameer Hamza Ameer Hamza (= 1×) peers Jumin Zhao

Countries citing papers authored by Ameer Hamza

Since Specialization
Citations

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

Fields of papers citing papers by Ameer Hamza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ameer Hamza

This figure shows the co-authorship network connecting the top 25 collaborators of Ameer Hamza. A scholar is included among the top collaborators of Ameer Hamza 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 Ameer Hamza. Ameer Hamza 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.
2.
3.
4.
Khan, Muhammad Attique, et al.. (2025). A Novel Approach for High-Resolution Coastal Areas and Land Use Recognition From Remote Sensing Images Based on Multimodal Network-Level Fusion of SRAN3 and Lightweight Four Encoders ViT. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 6844–6858. 5 indexed citations
5.
Khan, Muhammad Attique, et al.. (2025). A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images. BMC Medical Informatics and Decision Making. 25(1). 150–150. 3 indexed citations
6.
Ameer, Iqra, et al.. (2025). Multilingual hope speech detection from tweets using transfer learning models. Scientific Reports. 15(1). 9005–9005. 2 indexed citations
7.
Hamza, Ameer, et al.. (2024). Examining The Impact Of Operational Strategy And Employee Motivation On Project Performance In The Construction Projects. MIGRATION LETTERS. 21(S8). 86–101. 3 indexed citations
8.
Jabeen, Kiran, Muhammad Attique Khan, Ameer Hamza, et al.. (2024). An EfficientNet integrated ResNet deep network and explainable AI for breast lesion classification from ultrasound images. CAAI Transactions on Intelligence Technology. 10(3). 842–857. 10 indexed citations
9.
Hamza, Ameer, et al.. (2024). Analyzing The Causes of Project Failure and Cost Overruns in Building Construction Industry by Using a Mixed-Methods Approach. Pakistan Journal of Humanities and Social Sciences. 12(2). 1898–1916.
10.
Albarakati, Hussain Mobarak, Muhammad Attique Khan, Ameer Hamza, et al.. (2024). A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 6338–6353. 31 indexed citations
11.
Hamza, Ameer, et al.. (2024). Investigating the Impact of Project Planning on Construction Project Success through the Mediating Role of Risk Management and Safety Climate. International Journal of Organizational Leadership. 13(First Special Issue 2024). 119–139. 3 indexed citations
12.
Khan, Muhammad Attique, et al.. (2024). Fruit and vegetable leaf disease recognition based on a novel custom convolutional neural network and shallow classifier. Frontiers in Plant Science. 15. 1469685–1469685. 3 indexed citations
13.
Khan, Muhammad Attique, Hussain Mobarak Albarakati, Kiran Jabeen, et al.. (2024). Artificial intelligence assisted common maternal fetal planes prediction from ultrasound images based on information fusion of customized convolutional neural networks. Frontiers in Medicine. 11. 1486995–1486995. 9 indexed citations
14.
Khan, Muhammad Attique, Ameer Hamza, Mohammad Shabaz, et al.. (2024). Neuro-XAI: Explainable deep learning framework based on deeplabV3+ and bayesian optimization for segmentation and classification of brain tumor in MRI scans. Journal of Neuroscience Methods. 410. 110247–110247. 15 indexed citations
15.
Khan, Muhammad Attique, et al.. (2024). FMANet: Super-Resolution Inverted Bottleneck-Fused Self-Attention Architecture for Remote Sensing Satellite Image Recognition. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 18622–18634. 4 indexed citations
16.
Khan, Muhammad Attique, et al.. (2023). A deep learning‐basedx‐rayimaging diagnosis system for classification of tuberculosis,COVID‐19, and pneumonia traits using evolutionary algorithm. International Journal of Imaging Systems and Technology. 34(1). 17 indexed citations
17.
Mushtaq, Muhammad Faheem, Urooj Akram, Furqan Rustam, et al.. (2023). IoT networks attacks detection using multi-novel features and extra tree random - voting ensemble classifier (ER-VEC). Journal of Ambient Intelligence and Humanized Computing. 14(12). 16637–16651. 9 indexed citations
18.
Khan, Muhammad Attique, Ali Bashir, Kiran Jabeen, et al.. (2023). Automated deep bottleneck residual 82-layered architecture with Bayesian optimization for the classification of brain and common maternal fetal ultrasound planes. Frontiers in Medicine. 10. 1330218–1330218. 15 indexed citations
19.
Hamza, Ameer, Muhammad Attique Khan, Shuihua Wang‎, et al.. (2022). COVID-19 classification using chest X-ray images: A framework of CNN-LSTM and improved max value moth flame optimization. Frontiers in Public Health. 10. 948205–948205. 28 indexed citations
20.
Hamza, Ameer. (2019). Kernicterus. SHILAP Revista de lepidopterología. 9(1). e2018057–e2018057. 7 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jumin Zhao Breakdown of academic impact, for papers by Dengao Li Breakdown of academic impact, for papers by Sandeep Kumar Mathivanan Breakdown of academic impact, for papers by M. G. Sumithra Breakdown of academic impact, for papers by Mohammed A.‐M. Salem Breakdown of academic impact, for papers by Anabia Sohail Breakdown of academic impact, for papers by Osman Nuri Uçan Breakdown of academic impact, for papers by Xulei Yang Breakdown of academic impact, for papers by Shamik Tiwari Breakdown of academic impact, for papers by Bayram Akdemïr
Rankless by CCL
2026