Muhammad Usman Akram

6.1k total citations
248 papers, 4.0k citations indexed

About

Muhammad Usman Akram is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Muhammad Usman Akram has authored 248 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Radiology, Nuclear Medicine and Imaging, 95 papers in Ophthalmology and 87 papers in Computer Vision and Pattern Recognition. Recurrent topics in Muhammad Usman Akram's work include Retinal Imaging and Analysis (111 papers), Glaucoma and retinal disorders (57 papers) and Retinal Diseases and Treatments (56 papers). Muhammad Usman Akram is often cited by papers focused on Retinal Imaging and Analysis (111 papers), Glaucoma and retinal disorders (57 papers) and Retinal Diseases and Treatments (56 papers). Muhammad Usman Akram collaborates with scholars based in Pakistan, United States and Saudi Arabia. Muhammad Usman Akram's co-authors include Shoab Ahmed Khan, Shehzad Khalid, Anam Tariq, Taimur Hassan, Anam Tariq, Sajid Gul Khawaja, Arslan Shaukat, Amina Jameel, Mohammed Javed and Shahzad Akbar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Muhammad Usman Akram

236 papers receiving 3.8k citations

Peers

Countries citing papers authored by Muhammad Usman Akram

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Usman Akram

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Usman Akram. 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 Muhammad Usman Akram. The network helps show where Muhammad Usman Akram may publish in the future.

Co-authorship network of co-authors of Muhammad Usman Akram

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Usman Akram. A scholar is included among the top collaborators of Muhammad Usman Akram 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 Muhammad Usman Akram. Muhammad Usman Akram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	AI-CADS: An Artificial Intelligence based framework for automatic early detection and severity evaluation of coronary artery disease 2025 ·Biomedical Signal Processing and Control ·(unknown), Ali Hassan, Dilshad Ahmed Khan, Shoab Ahmed Khan, Asim Dilawar Bakhshi, (unknown), Muhammad Usman Akram, Mustansar Ali Ghazanfar	0
2	Edge-Optimized CNNs: A Co-Designed Software-Hardware Framework for Lightweight Deep Learning 2025 ·IEEE Access ·(unknown), (unknown), Shehzad Khalid, (unknown), (unknown), Muhammad Usman Akram, Syed Muhammad Usman, (unknown)	0
3	Knowledge Distillation and Transformer-Based Framework for Automatic Spine CT Report Generation 2025 ·IEEE Access ·(unknown), (unknown), Sajid Gul Khawaja, Norah Saleh Alghamdi, Asad Khan, (unknown), (unknown), (unknown), Muhammad Usman Akram, (unknown), Anders Eklund	1
4	Hybrid framework for Remaining Useful Life (RUL) prediction of rolling bearing faults 2025 ·Array ·(unknown), Muazzam A. Khan, (unknown), Arslan Shaukat, Muhammad Usman Akram, Toqeer Ali Syed, (unknown)	0
5	An interpretable hybrid framework combining convolution latent vectors with transformer based attention mechanism for rolling element fault detection and classification 2024 ·Heliyon ·(unknown), Muhammad Usman Akram, (unknown), (unknown)	3
6	An Enhanced Agile V-Model: Conformance to regulatory bodies and experiences from model's adoption to medical device development. 2024 ·Heliyon ·(unknown), Muhammad Usman Akram, Wasi Haider Butt, (unknown)	2
7	Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks 2023 ·Computers in Biology and Medicine ·Sajid Nazir, (unknown), Muhammad Usman Akram	125
8	Multi-head deep learning framework for pulmonary disease detection and severity scoring with modified progressive learning 2023 ·Biomedical Signal Processing and Control ·Asad Khan, Muhammad Usman Akram, Sajid Nazir, Taimur Hassan, Sajid Gul Khawaja, (unknown)	4
9	Automated grading of chest x-ray images for viral pneumonia with convolutional neural networks ensemble and region of interest localization 2023 ·PLoS ONE ·Asad Khan, Muhammad Usman Akram, Sajid Nazir	10
10	Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain 2023 ·Biomedical Signal Processing and Control ·(unknown), Muhammad Usman Akram, (unknown), (unknown), Sajid Gul Khawaja, (unknown), Imran Khan Niazi, Sarah Gul	5
11	Recognition of Children’s Facial Expressions Using Deep Learned Features 2023 ·Electronics ·(unknown), Arslan Shaukat, Rizwan Ahmed Khan, (unknown), Muhammad Usman Akram, Umer Asgher	6
12	Pleomorphic adenomia of lower lip: A case report 2023 ·Pakistan Journal of Medical Sciences ·Muhammad Usman Akram, (unknown), (unknown), Ahmad Raza	0
13	Attention based automated radiology report generation using CNN and LSTM 2022 ·PLoS ONE ·(unknown), (unknown), Muhammad Usman Akram, Norah Saleh Alghamdi, (unknown), (unknown)	28
14	A Hybrid VDV Model for Automatic Diagnosis of Pneumothorax Using Class-Imbalanced Chest X-Rays Dataset 2022 ·IEEE Access ·(unknown), Arslan Shaukat, Muhammad Usman Akram, Abdul Wahab Muzaffar, (unknown), Yung-Cheol Byun	8
15	Machine Learning and Signal Processing Based Analysis of sEMG Signals for Daily Action Classification 2022 ·IEEE Access ·(unknown), Sajid Gul Khawaja, Muhammad Usman Akram, Norah Saleh Alghamdi, Aimal Khan, Arslan Shaukat	8
16	An incremental learning approach to automatically recognize pulmonary diseases from the multi-vendor chest radiographs 2021 ·Computers in Biology and Medicine ·(unknown), Taimur Hassan, Muhammad Usman Akram, Shoab Ahmed Khan	33
17	RAG-FW: A Hybrid Convolutional Framework for the Automated Extraction of Retinal Lesions and Lesion-Influenced Grading of Human Retinal Pathology 2020 ·IEEE Journal of Biomedical and Health Informatics ·Taimur Hassan, Muhammad Usman Akram, Naoufel Werghi, (unknown)	39
18	Genetic Algorithm Based Automatic Out-Patient Experience Management System (GAPEM) Using RFIDs and Sensors 2020 ·IEEE Access ·(unknown), Shoab Ahmed Khan, Arslan Shaukat, Muhammad Usman Akram	7
19	Evaluation of Deep Segmentation Models for the Extraction of Retinal Lesions from Multi-modal Retinal Images 2020 ·arXiv (Cornell University) ·Taimur Hassan, Muhammad Usman Akram, Naoufel Werghi	3
20	An automated system for fingerprint classification using singular points for biometric security 2011 ·International Conference for Internet Technology and Secured Transactions ·(unknown), Muhammad Usman Akram, (unknown)	5

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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