Muhammad Ahmad

3.5k total citations · 1 hit paper
99 papers, 2.4k citations indexed

About

Muhammad Ahmad is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Muhammad Ahmad has authored 99 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Media Technology, 36 papers in Computer Vision and Pattern Recognition and 27 papers in Artificial Intelligence. Recurrent topics in Muhammad Ahmad's work include Remote-Sensing Image Classification (39 papers), Spectroscopy and Chemometric Analyses (13 papers) and Remote Sensing and Land Use (12 papers). Muhammad Ahmad is often cited by papers focused on Remote-Sensing Image Classification (39 papers), Spectroscopy and Chemometric Analyses (13 papers) and Remote Sensing and Land Use (12 papers). Muhammad Ahmad collaborates with scholars based in Pakistan, Russia and Italy. Muhammad Ahmad's co-authors include Manuel Mazzara, Adil Khan, Salvatore Distefano, Danfeng Hong, Ahmed Sohaib, Jocelyn Chanussot, Swalpa Kumar Roy, Muhammad Shahzad Sarfraz, Sidrah Shabbir and Gyu Sang Choi and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Muhammad Ahmad

93 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects

2021 284 citations Muhammad Ahmad, Sidrah Shabbir et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →

Peers

Muhammad Ahmad

MT

CVPR

AS

AI

AC

Mamta Mittal India

Jair Cervantes Mexico

Asdrúbal López‐Chau Mexico

María Pérez‐Ortiz United Kingdom

Lisbeth Rodríguez-Mazahua Mexico

Achyut Shankar India

Manoj Kumar India

Sheng Tang China

Aleksandra Mojsilović United States

Sharnil Pandya India

Mamta Mittal India

Muhammad Ahmad

224 ×0.2

MT

709 ×1.1

CVPR

36 ×0.1

AS

1.0k ×2.1

AI

81 ×0.4

AC

Citations per year, relative to Muhammad Ahmad Muhammad Ahmad (= 1×) peers Mamta Mittal

Countries citing papers authored by Muhammad Ahmad

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Ahmad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Ahmad

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Usama, Muhammad, et al.. (2025). EnergyFormer: Energy Attention With Fourier Embedding for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 22. 1–5.

2.

Ahmad, Muhammad, et al.. (2025). Adaptive Palmprint ROI Extraction Using Contour-Based Approach with PCA Alignment. 194–199. 1 indexed citations

3.

Ahmad, Muhammad, Muhammad Usama, Hamad Ahmed Altuwaijri, et al.. (2025). Multi-head spatial-spectral mamba for hyperspectral image classification. Remote Sensing Letters. 16(4). 339–353. 7 indexed citations

4.

Ahmad, Muhammad, Manuel Mazzara, Salvatore Distefano, Adil Khan, & Hamad Ahmed Altuwaijri. (2024). Improving Generalization for Hyperspectral Image Classification: The Impact of Disjoint Sampling on Deep Models. Computers, materials & continua/Computers, materials & continua (Print). 81(1). 503–532. 1 indexed citations

5.

Ahmad, Muhammad, Muhammad Usama, Adil Khan, et al.. (2024). Spatial–Spectral Transformer With Conditional Position Encoding for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 13 indexed citations

6.

Ahmad, Muhammad, Muhammad Usama, Manuel Mazzara, et al.. (2024). Fusing Transformers in a Tuning Fork Structure for Hyperspectral Image Classification Across Disjoint Samples. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 18167–18181. 8 indexed citations

7.

Khattak, Asad Masood, et al.. (2023). Boosting Adversarial Training Using Robust Selective Data Augmentation. International Journal of Computational Intelligence Systems. 16(1). 3 indexed citations

8.

Ran, Qiong, et al.. (2023). Deep transformer and few‐shot learning for hyperspectral image classification. CAAI Transactions on Intelligence Technology. 8(4). 1323–1336. 22 indexed citations

9.

Ahmad, Muhammad, et al.. (2021). Detection of Small Size Traffic Signs Using Regressive Anchor Box Selection and DBL Layer Tweaking in YOLOv3. Applied Sciences. 11(23). 11555–11555. 1 indexed citations

10.

Ahmad, Muhammad, et al.. (2021). Artifacts of different dimension reduction methods on hybrid CNN feature hierarchy for Hyperspectral Image Classification. Optik. 246. 167757–167757. 31 indexed citations

11.

Zaman, Muhammad Saeed Uz, et al.. (2020). Modeling the Impact of Modified Inertia Coefficient (H) due to ESS in Power System Frequency Response Analysis. Energies. 13(4). 902–902. 6 indexed citations

12.

Rustam, Furqan, Arif Mehmood, Muhammad Ahmad, et al.. (2020). Classification of Shopify App User Reviews Using Novel Multi Text Features. IEEE Access. 8. 30234–30244. 57 indexed citations

13.

Imtiaz, Zainab, Muhammad Umer, Muhammad Ahmad, et al.. (2020). Duplicate Questions Pair Detection Using Siamese MaLSTM. IEEE Access. 8. 21932–21942. 39 indexed citations

14.

Ahmad, Muhammad, et al.. (2020). Myoglobin-Based Classification of Minced Meat Using Hyperspectral Imaging. Applied Sciences. 10(19). 6862–6862. 23 indexed citations

15.

Ahmad, Muhammad, et al.. (2020). Face Recognition System Based on Wavelet Transform,Histograms of Oriented Gradients and Support Vector Machine. International Journal of Computing and Digital Systems. 10. 1–4. 1 indexed citations

16.

Umer, Muhammad, Saima Sadiq, Muhammad Ahmad, et al.. (2020). A Novel Stacked CNN for Malarial Parasite Detection in Thin Blood Smear Images. IEEE Access. 8. 93782–93792. 75 indexed citations

17.

Ahmad, Muhammad, et al.. (2018). Fuzziness-based active learning framework to enhance hyperspectral image classification performance for discriminative and generative classifiers. PLoS ONE. 13(1). e0188996–e0188996. 27 indexed citations

18.

Ahmad, Muhammad, Mohammed A. Alqarni, Asad Khan, et al.. (2018). Smartwatch-Based Legitimate User Identification for Cloud-Based Secure Services. Mobile Information Systems. 2018. 1–14. 15 indexed citations

19.

Ahmad, Muhammad, et al.. (2017). Hyperspectral Band Selection Using Unsupervised Non-Linear Deep Auto Encoder to Train External Classifiers.. arXiv (Cornell University). 5 indexed citations

20.

Ahmad, Muhammad, et al.. (2016). MO-FG-202-01: A Fast Yet Sensitive EPID-Based Real-Time Treatment Verification System. Medical Physics. 43(6Part31). 3711–3712. 2 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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