Muhammad Aamir

1.5k total citations · 1 hit paper
61 papers, 989 citations indexed

About

Muhammad Aamir is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Muhammad Aamir has authored 61 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Muhammad Aamir's work include Text and Document Classification Technologies (7 papers), Sentiment Analysis and Opinion Mining (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Muhammad Aamir is often cited by papers focused on Text and Document Classification Technologies (7 papers), Sentiment Analysis and Opinion Mining (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Muhammad Aamir collaborates with scholars based in Malaysia, Pakistan and United Kingdom. Muhammad Aamir's co-authors include Nazri Mohd Nawi, Fazli Wahid, Rozaida Ghazali, Saman Riaz, Arshad Ali, Muhammad Zulqarnain, Sultan Almotairi, Ashit Kumar Dutta, Abdulrahman Alruban and Yana Mazwin Mohmad Hassim and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Muhammad Aamir

57 papers receiving 918 citations

Hit Papers

A Comparison of Pooling Methods for Convolutional Neural ... 2022 2026 2023 2024 2022 50 100 150

Peers

Muhammad Aamir
Giang Nguyen Slovakia
Muhammad Aamir
Citations per year, relative to Muhammad Aamir Muhammad Aamir (= 1×) peers Giang Nguyen

Countries citing papers authored by Muhammad Aamir

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Aamir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Aamir

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Aamir. A scholar is included among the top collaborators of Muhammad Aamir 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 Aamir. Muhammad Aamir 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.
Ain, Noor ul, et al.. (2025). Structural and electronic properties of graphene-like GeC3 under mechanical strain: a DFT study. New Journal of Chemistry. 49(10). 4156–4166. 2 indexed citations
2.
Rehan, Imran, Mujeeb Ur Rehman, Muhammad Aamir, & Safiqul Islam. (2025). A CatBoost and ExtraTrees-based softvoting ensemble approach for non-invasive diabetes detection using hair LIBS spectral data. Microchemical Journal. 217. 114980–114980.
3.
Lim, Soon Chong Johnson, et al.. (2024). A pricing optimization modelling for assisted decision making in telecommunication product-service bundling. International Journal of Information Management Data Insights. 4(1). 100212–100212. 11 indexed citations
4.
Senan, Norhalina, et al.. (2024). A systematic literature review on meta-heuristic based feature selection techniques for text classification. PeerJ Computer Science. 10. e2084–e2084. 7 indexed citations
6.
Naeem, Mohammad, et al.. (2023). Detection of asymptomatic Leishmania donovani in healthy voluntary blood donors. Transfusion Clinique et Biologique. 30(2). 228–231. 2 indexed citations
7.
Ishfaq, Muhammad, Muhammad Aamir, Farooq Ahmad, Abdelazim M. Mebed, & Sayed Elshahat. (2022). Machine Learning-Assisted Prediction of the Biological Activity of Aromatase Inhibitors and Data Mining to Explore Similar Compounds. ACS Omega. 7(51). 48139–48149. 42 indexed citations
8.
Senan, Norhalina, et al.. (2022). Comparative Analysis of Recent Architecture of Convolutional Neural Network. Mathematical Problems in Engineering. 2022. 1–9. 35 indexed citations
9.
Aamir, Muhammad, et al.. (2022). A Comprehensive Convolutional Neural Network Survey to Detect Glaucoma Disease. Mobile Information Systems. 2022. 1–10. 5 indexed citations
10.
Zulqarnain, Muhammad, Rozaida Ghazali, Muhammad Aamir, & Yana Mazwin Mohmad Hassim. (2022). An efficient two-state GRU based on feature attention mechanism for sentiment analysis. Multimedia Tools and Applications. 83(1). 3085–3110. 41 indexed citations
11.
Zulqarnain, Muhammad, Rozaida Ghazali, Yana Mazwin Mohmad Hassim, & Muhammad Aamir. (2021). An Enhanced Gated Recurrent Unit with Auto-Encoder for Solving Text Classification Problems. Arabian Journal for Science and Engineering. 46(9). 8953–8967. 19 indexed citations
12.
Rehman, Muhammad Zubair, Abdullah Khan, Rozaida Ghazali, Muhammad Aamir, & Nazri Mohd Nawi. (2021). A new Multi Sine-Cosine algorithm for unconstrained optimization problems. PLoS ONE. 16(8). e0255269–e0255269. 7 indexed citations
13.
Rehman, Muhammad Zubair, Kamal Z. Zamli, Mubarak Almutairi, et al.. (2021). A novel state space reduction algorithm for team formation in social networks. PLoS ONE. 16(12). e0259786–e0259786. 4 indexed citations
14.
Asad, Muhammad Mujtaba, et al.. (2019). Design and development of a novel knowledge-based decision support system for industrial safety management at drilling process. Journal of Engineering Design and Technology. 17(4). 705–718. 5 indexed citations
15.
Aamir, Muhammad, Yi‐Fei Pu, Zia-ur Rahman, et al.. (2018). A Hybrid Proposed Framework for Object Detection and Classification. Journal of Information Processing Systems. 14(5). 1176–1194. 12 indexed citations
16.
Ullah, Arif, et al.. (2018). Search Engine Optimization Algorithms for Page Ranking: Comparative Study. International Journal of Integrated Engineering. 10(6). 11 indexed citations
17.
Nawi, Nazri Mohd, et al.. (2017). An Optimized Back Propagation Learning Algorithm with Adaptive Learning Rate. International Journal on Advanced Science Engineering and Information Technology. 7(5). 1693–1693. 11 indexed citations
18.
Ullah, Arif, et al.. (2017). An E-learning System in Malaysia based on Green Computing and Energy Level. JOIV International Journal on Informatics Visualization. 1(4-2). 184–187. 13 indexed citations
19.
Wang, Chengliang, et al.. (2014). A New Web Based Student Annual Review Information System (SARIS) With Student Success Prediction. International Journal of Computer Trends and Technology. 10(5). 275–278. 3 indexed citations
20.
Zia, Muhammad Yousuf Irfan, et al.. (2004). Virtual Remote Electronic Laboratory. 1. 94–98. 6 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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