Muhammad Junaid Ali

473 total citations
22 papers, 275 citations indexed

About

Muhammad Junaid Ali is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Muhammad Junaid Ali has authored 22 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Muhammad Junaid Ali's work include Brain Tumor Detection and Classification (5 papers), Advanced Neural Network Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Muhammad Junaid Ali is often cited by papers focused on Brain Tumor Detection and Classification (5 papers), Advanced Neural Network Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Muhammad Junaid Ali collaborates with scholars based in Pakistan, Thailand and Saudi Arabia. Muhammad Junaid Ali's co-authors include Tallha Akram, Majed Alhaisoni, Nadia N. Qadri, Syed Rameez Naqvi, Sajjad Haider, Arfat Ahmad Khan, Basit Raza, Muhammad Azhar, Ateeq Ur Rehman and Muhammad Asim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Molecular Neurodegeneration.

In The Last Decade

Muhammad Junaid Ali

19 papers receiving 261 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 Junaid Ali Pakistan 11 131 75 60 56 40 22 275
J. Avanija India 7 111 0.8× 55 0.7× 20 0.3× 70 1.3× 37 0.9× 27 235
Veysel Turk Türkiye 8 109 0.8× 44 0.6× 107 1.8× 44 0.8× 16 0.4× 15 304
Krishna Mridha India 8 113 0.9× 38 0.5× 70 1.2× 45 0.8× 18 0.5× 29 282
Shivam Kalra Canada 5 162 1.2× 115 1.5× 61 1.0× 89 1.6× 13 0.3× 5 243
G. Karuna India 7 91 0.7× 25 0.3× 70 1.2× 19 0.3× 11 0.3× 30 208
Aboul Ella Hassenian Egypt 6 109 0.8× 76 1.0× 19 0.3× 67 1.2× 39 1.0× 7 315
Md. Mostafa Kamal Sarker United Kingdom 10 163 1.2× 117 1.6× 48 0.8× 124 2.2× 33 0.8× 33 435
Md. Munirul Hasan Malaysia 7 193 1.5× 27 0.4× 14 0.2× 69 1.2× 29 0.7× 20 331
Saqib Qamar China 10 119 0.9× 160 2.1× 38 0.6× 86 1.5× 79 2.0× 22 382
Parvez Ahmad China 9 95 0.7× 132 1.8× 35 0.6× 58 1.0× 69 1.7× 17 297

Countries citing papers authored by Muhammad Junaid Ali

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Junaid Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Junaid Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Junaid Ali. A scholar is included among the top collaborators of Muhammad Junaid Ali 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 Junaid Ali. Muhammad Junaid Ali 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
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Timsina, Jigyasha, Muhammad Junaid Ali, Yike Chen, et al.. (2025). High-sensitivity plasma proteomics reveals disease-specific signatures and predictive biomarkers of Alzheimer’s disease phenotypes in a large mixed-dementia cohort. Molecular Neurodegeneration. 20(1). 120–120.
3.
Ali, Muhammad Junaid, et al.. (2024). AI-Powered Lung Cancer Detection From CT Imaging. VFAST Transactions on Software Engineering. 12(2). 241–249. 3 indexed citations
4.
Ali, Muhammad Junaid, et al.. (2024). A review of AutoML optimization techniques for medical image applications. Computerized Medical Imaging and Graphics. 118. 102441–102441. 2 indexed citations
5.
6.
Ali, Muhammad Junaid, et al.. (2022). Multi-task learning architecture for brain tumor detection and segmentation in MRI images. Journal of Electronic Imaging. 31(5). 2 indexed citations
7.
Khan, Arfat Ahmad, et al.. (2022). Brain Tumor Segmentation using Multi-View Attention based Ensemble Network. Computers, materials & continua/Computers, materials & continua (Print). 72(3). 5793–5806. 14 indexed citations
8.
Ali, Muhammad Junaid, Arfat Ahmad Khan, Malik Muhammad Ali Shahid, et al.. (2022). Large Scale Fish Images Classification and Localization using Transfer Learning and Localization Aware CNN Architecture. Computer Systems Science and Engineering. 45(2). 2125–2140. 10 indexed citations
9.
Kannadasan, Raju, et al.. (2022). Crop Yield Prediction Using Machine Learning Approaches on a Wide Spectrum. Computers, materials & continua/Computers, materials & continua (Print). 72(3). 5663–5679. 31 indexed citations
10.
Ali, Muhammad Junaid, Jamal Hussain Shah, Muhammad Attique Khan, et al.. (2022). Brain Tumor Detection and Classification Using PSO and Convolutional Neural Network. Computers, materials & continua/Computers, materials & continua (Print). 73(3). 4501–4518. 13 indexed citations
11.
Tahir, Zia ul Rehman, et al.. (2021). Hourly global horizontal irradiance data of three stations in Punjab, Pakistan. SHILAP Revista de lepidopterología. 38. 107371–107371. 5 indexed citations
12.
Ali, Muhammad Junaid, et al.. (2021). Multi-level Kronecker Convolutional Neural Network (ML-KCNN) for Glioma Segmentation from Multi-modal MRI Volumetric Data. Journal of Digital Imaging. 34(4). 905–921. 10 indexed citations
13.
Qadri, Nadia N., et al.. (2021). A Multilevel Deep Feature Selection Framework for Diabetic Retinopathy Image Classification. Computers, materials & continua/Computers, materials & continua (Print). 70(2). 2261–2276. 16 indexed citations
14.
Madni, Tahir Mustafa, et al.. (2021). Multi‐level dilated convolutional neural network for brain tumour segmentation and multi‐view‐based radiomics for overall survival prediction. International Journal of Imaging Systems and Technology. 31(3). 1519–1535. 13 indexed citations
15.
Ali, Muhammad Junaid, et al.. (2021). Attention-Based CNN-RNN Arabic Text Recognition from Natural Scene Images. SHILAP Revista de lepidopterología. 3(3). 520–540. 32 indexed citations
16.
Ali, Muhammad Junaid, et al.. (2020). Poster: A Novel Approach for POS Tagging of Pashto Language. 259–260. 3 indexed citations
17.
Ali, Muhammad Junaid, et al.. (2020). Enhancing breast pectoral muscle segmentation performance by using skip connections in fully convolutional network. International Journal of Imaging Systems and Technology. 30(4). 1108–1118. 20 indexed citations
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19.
Ali, Muhammad Junaid, et al.. (2014). Transient acute adrenal insufficiency associated with adenovirus serotype 40 infection. BMJ Case Reports. 2014. bcr2014204486–bcr2014204486.
20.
Kumar, Nilay, Shahryar Ahmad, Muhammad Junaid Ali, Gagan Kumar, & Nanda Venu. (2013). Mo2122 Inpatient Need for Total Parenteral Nutrition in Inflammatory Bowel Disease Is Associated With Higher Mortality - A Study Using National Inpatient Sample Over the Last Decade 2000-2008. Gastroenterology. 144(5). S–748. 1 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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