Muhammad Arsalan

2.7k total citations
76 papers, 1.9k citations indexed

About

Muhammad Arsalan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Muhammad Arsalan has authored 76 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 26 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Ophthalmology. Recurrent topics in Muhammad Arsalan's work include Retinal Imaging and Analysis (17 papers), Digital Imaging for Blood Diseases (15 papers) and Retinal Diseases and Treatments (9 papers). Muhammad Arsalan is often cited by papers focused on Retinal Imaging and Analysis (17 papers), Digital Imaging for Blood Diseases (15 papers) and Retinal Diseases and Treatments (9 papers). Muhammad Arsalan collaborates with scholars based in South Korea, Pakistan and Australia. Muhammad Arsalan's co-authors include Kang Ryoung Park, Muhammad Owais, Tahir Mahmood, Rizwan Ali Naqvi, Kang Park, Adnan Haider, Jiho Choi, Min Beom Lee, Dong Seop Kim and Syed S. Naqvi and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Muhammad Arsalan

72 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Arsalan South Korea 26 956 802 437 353 226 76 1.9k
Bin Sheng China 24 1.0k 1.1× 611 0.8× 275 0.6× 348 1.0× 106 0.5× 114 2.1k
Valery Naranjo Spain 25 914 1.0× 1.1k 1.4× 634 1.5× 588 1.7× 79 0.3× 155 2.3k
Beiji Zou China 24 1.2k 1.2× 802 1.0× 499 1.1× 324 0.9× 57 0.3× 189 2.1k
Jacob Scharcanski Brazil 26 1.1k 1.1× 468 0.6× 315 0.7× 515 1.5× 131 0.6× 116 2.1k
Ümit Budak Türkiye 21 517 0.5× 542 0.7× 149 0.3× 602 1.7× 77 0.3× 42 1.6k
Guangmin Sun China 20 406 0.4× 301 0.4× 126 0.3× 280 0.8× 62 0.3× 148 1.3k
Aurélio Campilho Portugal 28 1.7k 1.7× 2.3k 2.9× 1.2k 2.6× 1.0k 3.0× 83 0.4× 140 3.7k
Malaya Kumar Nath India 21 493 0.5× 534 0.7× 309 0.7× 375 1.1× 95 0.4× 67 1.3k
Mamta Juneja India 23 846 0.9× 576 0.7× 347 0.8× 214 0.6× 68 0.3× 83 1.8k
Muhammad Moazam Fraz Pakistan 27 2.2k 2.3× 2.7k 3.3× 1.9k 4.3× 600 1.7× 86 0.4× 136 3.8k

Countries citing papers authored by Muhammad Arsalan

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Arsalan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Arsalan

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Arsalan. A scholar is included among the top collaborators of Muhammad Arsalan 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 Arsalan. Muhammad Arsalan 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.
Haider, Adnan, et al.. (2025). Automated Detection and Grading of Renal Cell Carcinoma in Histopathological Images via Efficient Attention Transformer Network. Medical Sciences. 13(4). 257–257. 1 indexed citations
2.
3.
Arsalan, Muhammad, et al.. (2024). Efficacy of Platelet-Rich Plasma in the Treatment of Diabetic Foot Ulcer. Cureus. 16(5). e60934–e60934. 5 indexed citations
4.
Arsalan, Muhammad, et al.. (2024). 1D-CNN-IDS: 1D CNN-based Intrusion Detection System for IIoT. 1–4. 5 indexed citations
5.
6.
Khan, Tariq M., Muhammad Arsalan, Imran Razzak, & Erik Meijering. (2023). Simple and robust depth-wise cascaded network for polyp segmentation. Engineering Applications of Artificial Intelligence. 121. 106023–106023. 14 indexed citations
7.
Arsalan, Muhammad, et al.. (2023). Diabetes Self-Care Activities and Their Relationship With Glycemic Control in Patients Visiting Hayatabad Medical Complex, Peshawar. Cureus. 15(7). e42741–e42741. 1 indexed citations
8.
Arsalan, Muhammad, Tariq M. Khan, Syed S. Naqvi, Mehmood Nawaz, & Imran Razzak. (2022). Prompt Deep Light-Weight Vessel Segmentation Network (PLVS-Net). IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(2). 1363–1371. 20 indexed citations
9.
Owais, Muhammad, Muhammad Arsalan, Tahir Mahmood, Yu Hwan Kim, & Kang Ryoung Park. (2020). Comprehensive Computer-Aided Decision Support Framework to Diagnose Tuberculosis From Chest X-Ray Images: Data Mining Study. JMIR Medical Informatics. 8(12). e21790–e21790. 27 indexed citations
10.
Kim, Dong Seop, Muhammad Arsalan, Muhammad Owais, & Kang Ryoung Park. (2020). ESSN: Enhanced Semantic Segmentation Network by Residual Concatenation of Feature Maps. IEEE Access. 8. 21363–21379. 5 indexed citations
11.
Owais, Muhammad, Muhammad Arsalan, Tahir Mahmood, Jin Kyu Kang, & Kang Ryoung Park. (2020). Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning–Based Classification and Retrieval Framework With a Large Endoscopic Database: Model Development and Validation. Journal of Medical Internet Research. 22(11). e18563–e18563. 17 indexed citations
12.
Mahmood, Tahir, Muhammad Arsalan, Muhammad Owais, Min Beom Lee, & Kang Ryoung Park. (2020). Artificial Intelligence-Based Mitosis Detection in Breast Cancer Histopathology Images Using Faster R-CNN and Deep CNNs. Journal of Clinical Medicine. 9(3). 749–749. 139 indexed citations
13.
Arsalan, Muhammad, Na Rae Baek, Muhammad Owais, Tahir Mahmood, & Kang Ryoung Park. (2020). Deep Learning-Based Detection of Pigment Signs for Analysis and Diagnosis of Retinitis Pigmentosa. Sensors. 20(12). 3454–3454. 29 indexed citations
14.
Arsalan, Muhammad, Muhammad Owais, Tahir Mahmood, Jiho Choi, & Kang Ryoung Park. (2020). Artificial Intelligence-Based Diagnosis of Cardiac and Related Diseases. Journal of Clinical Medicine. 9(3). 871–871. 41 indexed citations
15.
Khan, Tariq M., et al.. (2020). CDED-Net: Joint Segmentation of Optic Disc and Optic Cup for Glaucoma Screening. IEEE Access. 8. 102733–102747. 61 indexed citations
16.
Arsalan, Muhammad, et al.. (2020). A Retrospective Analysis on Poison Related Mortalities in a Tertiary Care Centre in Pakistan. SHILAP Revista de lepidopterología. 9(3). 85–90. 1 indexed citations
17.
Owais, Muhammad, Muhammad Arsalan, Jiho Choi, Tahir Mahmood, & Kang Ryoung Park. (2019). Artificial Intelligence-Based Classification of Multiple Gastrointestinal Diseases Using Endoscopy Videos for Clinical Diagnosis. Journal of Clinical Medicine. 8(7). 986–986. 60 indexed citations
18.
Owais, Muhammad, Muhammad Arsalan, Jiho Choi, & Kang Ryoung Park. (2019). Effective Diagnosis and Treatment through Content-Based Medical Image Retrieval (CBMIR) by Using Artificial Intelligence. Journal of Clinical Medicine. 8(4). 462–462. 74 indexed citations
19.
Arsalan, Muhammad, Muhammad Owais, Tahir Mahmood, Se Woon Cho, & Kang Ryoung Park. (2019). Aiding the Diagnosis of Diabetic and Hypertensive Retinopathy Using Artificial Intelligence-Based Semantic Segmentation. Journal of Clinical Medicine. 8(9). 1446–1446. 77 indexed citations
20.
Arsalan, Muhammad, Rizwan Ali Naqvi, Dong Seop Kim, et al.. (2018). IrisDenseNet: Robust Iris Segmentation Using Densely Connected Fully Convolutional Networks in the Images by Visible Light and Near-Infrared Light Camera Sensors. Sensors. 18(5). 1501–1501. 79 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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