Muhammad Asad

830 total citations
28 papers, 505 citations indexed

About

Muhammad Asad is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Biomedical Engineering. According to data from OpenAlex, Muhammad Asad has authored 28 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Plant Science and 6 papers in Biomedical Engineering. Recurrent topics in Muhammad Asad's work include Smart Agriculture and AI (5 papers), Human Pose and Action Recognition (4 papers) and Remote Sensing in Agriculture (3 papers). Muhammad Asad is often cited by papers focused on Smart Agriculture and AI (5 papers), Human Pose and Action Recognition (4 papers) and Remote Sensing in Agriculture (3 papers). Muhammad Asad collaborates with scholars based in United Kingdom, Canada and Pakistan. Muhammad Asad's co-authors include Abdul Bais, Greg Slabaugh, Eduardo Alonso, Atif Riaz, Sheeraz Arif, Azhar Mahmood, Muhammad Usman, Danai Dima, Philip J. Corr and Charith Abhayaratne and has published in prestigious journals such as IEEE Access, Journal of Shoulder and Elbow Surgery and Journal of Neuroscience Methods.

In The Last Decade

Muhammad Asad

25 papers receiving 489 citations

Peers

Muhammad Asad
Roberto Rodríguez United States
Huaibo Song China
Rijad Sarić Bosnia and Herzegovina
Stijn Luca Belgium
Arantza Bereciartúa-Pérez Spain
Manob Jyoti Saikia United States
Chandan Jyoti Kumar India
Roberto Rodríguez United States
Muhammad Asad
Citations per year, relative to Muhammad Asad Muhammad Asad (= 1×) peers Roberto Rodríguez

Countries citing papers authored by Muhammad Asad

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Asad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Asad

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Asad. A scholar is included among the top collaborators of Muhammad Asad 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 Asad. Muhammad Asad 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.
Asad, Muhammad, et al.. (2025). Compositional Segmentation of Cardiac Images Leveraging Metadata. 9489–9498. 1 indexed citations
2.
Asad, Muhammad, et al.. (2024). Crop and Couple: Cardiac Image Segmentation Using Interlinked Specialist Networks. 1–5. 2 indexed citations
3.
Asad, Muhammad, et al.. (2024). Mapping Soil Organic Matter Under Field Conditions. 2(1). 138–150. 3 indexed citations
4.
Asad, Muhammad, Saeed Anwar, & Abdul Bais. (2024). Improved Crop and Weed Detection with Diverse Data Ensemble Learning. 5336–5345. 3 indexed citations
5.
Asad, Muhammad, et al.. (2023). Soil Surface Texture Classification Using RGB Images Acquired Under Uncontrolled Field Conditions. IEEE Access. 11. 67140–67155. 13 indexed citations
6.
7.
Khan, Muhammad Jaleed, et al.. (2022). iVision HHID: Handwritten hyperspectral images dataset for benchmarking hyperspectral imaging-based document forensic analysis. Data in Brief. 41. 107964–107964. 9 indexed citations
8.
Asad, Muhammad, et al.. (2021). End to End Segmentation of Canola Field Images Using Dilated U-Net. IEEE Access. 9. 59741–59753. 19 indexed citations
9.
Asad, Muhammad, et al.. (2021). Urdu as Official Language: A Constitutional Mandate, Compliance, Challenges Perspective. SSRN Electronic Journal. 1 indexed citations
10.
Asad, Muhammad & Abdul Bais. (2020). Crop and Weed Leaf Area Index Mapping Using Multi-Source Remote and Proximal Sensing. IEEE Access. 8. 138179–138190. 15 indexed citations
11.
Riaz, Atif, Muhammad Asad, Eduardo Alonso, & Greg Slabaugh. (2020). DeepFMRI: End-to-end deep learning for functional connectivity and classification of ADHD using fMRI. Journal of Neuroscience Methods. 335. 108506–108506. 103 indexed citations
12.
Asad, Muhammad, Azhar Mahmood, & Muhammad Usman. (2020). A machine learning-based framework for Predicting Treatment Failure in tuberculosis: A case study of six countries. Tuberculosis. 123. 101944–101944. 18 indexed citations
13.
Riaz, Atif, Muhammad Asad, Eduardo Alonso, & Greg Slabaugh. (2017). Fusion of fMRI and non-imaging data for ADHD classification. Computerized Medical Imaging and Graphics. 65. 115–128. 85 indexed citations
14.
Asad, Muhammad, et al.. (2017). Pairwise mixture model for unmixing partial volume effect in multi-voxel MR spectroscopy of brain tumour patients. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10134. 101341R–101341R. 2 indexed citations
15.
Asad, Muhammad, et al.. (2015). Hough Forest-based Corner Detection for Cervical Spine Radiographs. City Research Online (City University London). 183–188. 5 indexed citations
16.
Asad, Muhammad, et al.. (2015). Cervical vertebral corner detection using haar-like features and modified hough forest. City Research Online (City University London). 417–422. 6 indexed citations
17.
Asad, Muhammad, et al.. (2015). Generating a 3D Hand Model from Frontal Color and Range Scans. City Research Online (City University London). 54. 4589–4593. 2 indexed citations
18.
Asad, Muhammad & Charith Abhayaratne. (2013). Kinect depth stream pre-processing for hand gesture recognition. City Research Online (City University London). 3735–3739. 9 indexed citations
19.
Asad, Muhammad, et al.. (2011). Early Stage Breast Cancer Detection through Mammographic Feature Analysis. 1–4. 5 indexed citations
20.
Asad, Muhammad, et al.. (2006). Arthroscopic treatment for malunion of a head-splitting proximal humeral fracture: The need for adequate initial radiologic investigation. Journal of Shoulder and Elbow Surgery. 16(4). e1–e2. 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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