Muhammad Aminu

575 total citations
17 papers, 133 citations indexed

About

Muhammad Aminu is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Media Technology. According to data from OpenAlex, Muhammad Aminu has authored 17 papers receiving a total of 133 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Media Technology. Recurrent topics in Muhammad Aminu's work include Spectroscopy and Chemometric Analyses (3 papers), Face and Expression Recognition (3 papers) and Image and Signal Denoising Methods (2 papers). Muhammad Aminu is often cited by papers focused on Spectroscopy and Chemometric Analyses (3 papers), Face and Expression Recognition (3 papers) and Image and Signal Denoising Methods (2 papers). Muhammad Aminu collaborates with scholars based in United States, Malaysia and Nigeria. Muhammad Aminu's co-authors include Noor Atinah Ahmad, Mohd Halim Mohd Noor, Jia Wu, Hai T. Tran, Sheeba J. Sujit, Ara A. Vaporciyan, Natalie I. Vokes, Boris Sepesi, Stephen G. Swisher and Tina Cascone and has published in prestigious journals such as Annals of Oncology, IEEE Access and Molecular Cancer.

In The Last Decade

Muhammad Aminu

13 papers receiving 132 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 Aminu United States 6 30 28 25 24 23 17 133
Hiroyuki Ogihara Japan 8 32 1.1× 33 1.2× 36 1.4× 9 0.4× 16 0.7× 24 211
Yun Pang China 6 37 1.2× 48 1.7× 18 0.7× 19 0.8× 50 2.2× 20 138
Aman Rana United States 6 34 1.1× 10 0.4× 4 0.2× 35 1.5× 75 3.3× 16 185
Jialin Zhang China 8 16 0.5× 10 0.4× 22 0.9× 24 1.0× 37 1.6× 16 299
Heming Yao United States 10 49 1.6× 14 0.5× 22 0.9× 9 0.4× 35 1.5× 25 323
Matthew T. Moores Australia 8 23 0.8× 11 0.4× 7 0.3× 19 0.8× 67 2.9× 21 284
Salar Razavi Türkiye 6 59 2.0× 5 0.2× 7 0.3× 41 1.7× 89 3.9× 10 190
Xiaomei Li China 8 12 0.4× 34 1.2× 15 0.6× 64 2.7× 18 0.8× 35 165
David Manthey United States 6 44 1.5× 19 0.7× 17 0.7× 21 0.9× 86 3.7× 11 153
Satyajit Mahapatra India 9 49 1.6× 28 1.0× 5 0.2× 22 0.9× 57 2.5× 21 233

Countries citing papers authored by Muhammad Aminu

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Aminu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Aminu

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

All Works

17 of 17 papers shown
1.
Lǐ, Jiànróng, Xiang Wang, Muhammad Aminu, et al.. (2024). The prognostic effect of infiltrating immune cells is shaped by proximal M2 macrophages in lung adenocarcinoma. Molecular Cancer. 23(1). 185–185. 4 indexed citations
2.
Alahdab, Fares, Maliazurina B. Saad, Ahmed Ibrahim Ahmed, et al.. (2024). Development and validation of a machine learning model to predict myocardial blood flow and clinical outcomes from patients’ electrocardiograms. Cell Reports Medicine. 5(10). 101746–101746. 5 indexed citations
3.
Aminu, Muhammad, et al.. (2024). An Assessment of the Nutritional Status and Eating Habits of in-School Adolescents in Sokoto, North-Western Nigeria. SPIRE - Sciences Po Institutional REpository. 14(5). 8–22.
4.
Hong, Lingzhi, Muhammad Aminu, Christian D. Young, et al.. (2024). P2.11A.25 Clinicogenomic Profile of Different Resistance Patterns to Immune Checkpoint Inhibitors in Non-Small Cell Lung Cancer. Journal of Thoracic Oncology. 19(10). S263–S263.
5.
Tran, Hai T., Simon Heeke, Sheeba J. Sujit, et al.. (2023). Circulating tumor DNA and radiological tumor volume identify patients at risk for relapse with resected, early-stage non-small-cell lung cancer. Annals of Oncology. 35(2). 183–189. 32 indexed citations
6.
Aminu, Muhammad, et al.. (2023). Design and Implementation of an IOT Based Smart Home Monitoring and Control System Using NodeMCU. Journal of Engineering Research and Reports. 25(2). 78–88. 1 indexed citations
7.
Chen, Pingjun, Siba El Hussein, Fuyong Xing, et al.. (2022). Chronic Lymphocytic Leukemia Progression Diagnosis with Intrinsic Cellular Patterns via Unsupervised Clustering. Cancers. 14(10). 2398–2398. 9 indexed citations
8.
Chen, Pingjun, Muhammad Aminu, Siba El Hussein, Joseph D. Khoury, & Jia Wu. (2021). CellSpatialGraph: Integrate hierarchical phenotyping and graph modeling to characterize spatial architecture in tumor microenvironment on digital pathology. Software Impacts. 10. 100156–100156.
9.
Aminu, Muhammad, Noor Atinah Ahmad, & Mohd Halim Mohd Noor. (2021). Covid-19 detection via deep neural network and occlusion sensitivity maps. Alexandria Engineering Journal. 60(5). 4829–4855. 35 indexed citations
10.
Aminu, Muhammad & Noor Atinah Ahmad. (2020). Complex Chemical Data Classification and Discrimination Using Locality Preserving Partial Least Squares Discriminant Analysis. ACS Omega. 5(41). 26601–26610. 23 indexed citations
11.
Aminu, Muhammad & Noor Atinah Ahmad. (2020). New Variants of Global-Local Partial Least Squares Discriminant Analysis for Appearance-Based Face Recognition. IEEE Access. 8. 166703–166720. 7 indexed citations
12.
Aminu, Muhammad & Noor Atinah Ahmad. (2019). Locality preserving partial least squares discriminant analysis for face recognition. Journal of King Saud University - Computer and Information Sciences. 34(2). 153–164. 7 indexed citations
13.
Aminu, Muhammad & Noor Atinah Ahmad. (2019). Feature Extraction Using Discriminant Graph Laplacian Principal Component Analysis with Application to Biomedical Datasets. Journal of Physics Conference Series. 1372(1). 12002–12002. 1 indexed citations
14.
Aminu, Muhammad, et al.. (2018). Detection of Soya Beans Ripeness Using Image Processing Techniques and Artificial Neural Network. 5(2). 1–9. 4 indexed citations
15.
Aminu, Muhammad, et al.. (2016). Permanent of a rhotrix. Afrika Matematika. 28(3-4). 481–491.
16.
Aminu, Muhammad, et al.. (2014). DWT subbands fusion using ant colony optimization for edge detection. 1351–1354. 2 indexed citations
17.
Aminu, Muhammad, et al.. (2013). Discrete wavelet transform-based Ant Colony Optimization for edge detection. 69. 280–283. 3 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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