Raja Muhammad Saad Bashir

418 total citations
7 papers, 159 citations indexed

About

Raja Muhammad Saad Bashir is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Periodontics. According to data from OpenAlex, Raja Muhammad Saad Bashir has authored 7 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Periodontics. Recurrent topics in Raja Muhammad Saad Bashir's work include AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Oral Health Pathology and Treatment (3 papers). Raja Muhammad Saad Bashir is often cited by papers focused on AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Oral Health Pathology and Treatment (3 papers). Raja Muhammad Saad Bashir collaborates with scholars based in United Kingdom, Pakistan and Belgium. Raja Muhammad Saad Bashir's co-authors include Muhammad Moazam Fraz, Muhammad Shahzad, Shan E Ahmed Raza, Nasir Rajpoot, Adam Shephard, Syed Ali Khurram, Fayyaz Minhas, Mostafa Jahanifar, Hanya Mahmood and Quoc Dang Vu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and The Journal of Pathology.

In The Last Decade

Raja Muhammad Saad Bashir

7 papers receiving 159 citations

Peers

Countries citing papers authored by Raja Muhammad Saad Bashir

Since Specialization

Citations

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

Fields of papers citing papers by Raja Muhammad Saad Bashir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raja Muhammad Saad Bashir

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

All Works

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7 of 7 papers shown

#	Work	Indexed citations
1	Dual attention model with reinforcement learning for classification of histology whole-slide images 2024 ·Computerized Medical Imaging and Graphics ·(unknown), Ruqayya Awan, Raja Muhammad Saad Bashir, Talha Qaiser, Nasir Rajpoot	1
2	A fully automated and explainable algorithm for predicting malignant transformation in oral epithelial dysplasia 2024 ·npj Precision Oncology ·Adam Shephard, Raja Muhammad Saad Bashir, Hanya Mahmood, Mostafa Jahanifar, Fayyaz Minhas, Shan E Ahmed Raza, (unknown), Stephanie G. Craig, Jacqueline A. James, Jill Brooks, Paul Nankivell, Hisham Mehanna, Syed Ali Khurram, Nasir Rajpoot	14
3	A digital score of peri‐epithelial lymphocytic activity predicts malignant transformation in oral epithelial dysplasia 2023 ·The Journal of Pathology ·Raja Muhammad Saad Bashir, Adam Shephard, Hanya Mahmood, (unknown), Shan E Ahmed Raza, Syed Ali Khurram, Nasir Rajpoot	12
4	Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images 2023 ·Medical Image Analysis ·Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, Nasir Rajpoot	13
5	TIAToolbox as an end-to-end library for advanced tissue image analytics 2022 ·SHILAP Revista de lepidopterología ·(unknown), Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, (unknown), (unknown), Adam Shephard, Raja Muhammad Saad Bashir, Mohsin Bilal, Wenqi Lu, D. B. A. Epstein, Fayyaz Minhas, Nasir Rajpoot, Shan E Ahmed Raza	52
6	Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images 2020 ·White Rose Research Online (University of Leeds, The University of Sheffield, University of York) ·Raja Muhammad Saad Bashir, Hanya Mahmood, Muhammad Shaban, Shan E Ahmed Raza, Muhammad Moazam Fraz, Syed Ali Khurram, Nasir Rajpoot	15
7	VR-PROUD: Vehicle Re-identification using PROgressive Unsupervised Deep architecture 2019 ·Pattern Recognition ·Raja Muhammad Saad Bashir, Muhammad Shahzad, Muhammad Moazam Fraz	52

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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