Syed Muhammad Adnan
- Health Informatics top 10%
- Signal Processing top 10%
- Music and Audio Processing 2
- Media Technology top 10%
- Vehicle License Plate Recognition 3
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- Smart Agriculture and AI 3
- Leaf Properties and Growth Measurement 3
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- Remote Sensing in Agriculture 2
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- Infrastructure Maintenance and Monitoring 2
- Asphalt Pavement Performance Evaluation 2
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- Gait Recognition and Analysis 2
Syed Muhammad Adnan
25 papers receiving 286 citations
Peers
Comparison fields: 5 of 78
- Health Informatics 12
- Computer Vision and Pattern Recognition 111
- Signal Processing 44
- Analytical Chemistry 31
- Media Technology 27
Countries citing papers authored by Syed Muhammad Adnan
This map shows the geographic impact of Syed Muhammad Adnan'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 Syed Muhammad Adnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Syed Muhammad Adnan more than expected).
Fields of papers citing papers by Syed Muhammad Adnan
This network shows the impact of papers produced by Syed Muhammad Adnan. 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 Syed Muhammad Adnan. The network helps show where Syed Muhammad Adnan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Syed Muhammad Adnan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 2 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 8 | |
| 12 | 2020 | 6 | |
| 13 | 2020 | 29 | |
| 14 | Frequency of urinary tract infection in type 2 DM attending at Dow University Hospital Karachi, Pakistan - | 2020 | 2 |
| 15 | 2020 | 2 | |
| 16 | 2020 | 22 | |
| 17 | Classification of Tomato Plants’ Leaf Diseases Using Image Segmentation and SVM | 2018 | 1 |
| 18 | 2018 | 49 | |
| 19 | 2018 | 3 | |
| 20 | 2018 | 5 |
About Syed Muhammad Adnan
Syed Muhammad Adnan is a scholar working on Health Informatics, Media Technology and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 304 indexed citations. Recurring topics across this work include Vehicle License Plate Recognition (3 papers), Smart Agriculture and AI (3 papers), Leaf Properties and Growth Measurement (3 papers), Remote Sensing in Agriculture (2 papers), Music and Audio Processing (2 papers), Infrastructure Maintenance and Monitoring (2 papers), Gait Recognition and Analysis (2 papers) and Asphalt Pavement Performance Evaluation (2 papers). The work is most often cited by research in Health Informatics (12 citations), Computer Vision and Pattern Recognition (111 citations) and Signal Processing (44 citations). Syed Muhammad Adnan has collaborated with scholars based in Pakistan, South Korea and United States. Frequent co-authors include Wakeel Ahmad, Aun Irtaza, Ali Javed, Muhammad Tariq Mahmood, Hareem Kibriya, Sumair Aziz, Muhammad Obaid Ullah, Zahid Mehmood, Muhammad Arshad Javid and Khawaja Tehseen Ahmed. Their work appears in journals such as IEEE Access, Multiple Sclerosis and Related Disorders, Applied Sciences, Applied Acoustics and Multimedia Tools and Applications.
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.