Junaid Malik
Impact in
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- Image and Signal Denoising Methods
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- ECG Monitoring and Analysis
Papers in
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- Advanced Neural Network Applications 2
- Visual Attention and Saliency Detection 2
- Image and Signal Denoising Methods 2
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- Neural Networks and Applications 3
- Machine Learning and ELM 2
- Co-authors
- Moncef Gabbouj (13 shared papers)Türker İnce (7 shared papers)Serkan Kıranyaz (8 shared papers)Alexandros Iosifidis (4 shared papers)Özer Can Devecioğlu (3 shared papers)Muhammad E. H. Chowdhury (3 shared papers)Amith Khandakar (3 shared papers)Anas Tahir (3 shared papers)
In The Last Decade
Junaid Malik
19 papers receiving 401 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 118
- Cardiology and Cardiovascular Medicine 98
- Ophthalmology 31
- Radiology, Nuclear Medicine and Imaging 80
- Neurology 28
Countries citing papers authored by Junaid Malik
This map shows the geographic impact of Junaid Malik'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 Junaid Malik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junaid Malik more than expected).
Fields of papers citing papers by Junaid Malik
This network shows the impact of papers produced by Junaid Malik. 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 Junaid Malik. The network helps show where Junaid Malik may publish in the future.
Co-authors
The 25 scholars most cited alongside Junaid Malik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 73 | |
| 2 | 2022 | 56 | |
| 3 | 2022 | 50 | |
| 4 | 2022 | 36 | |
| 5 | 2022 | 35 | |
| 6 | 2022 | 31 | |
| 7 | 2022 | 30 | |
| 8 | 2021 | 27 | |
| 9 | 2022 | 20 | |
| 10 | 2021 | 17 | |
| 11 | 2021 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2022 | 4 | |
| 15 | 2019 | 3 | |
| 16 | Real-time Vehicle Tracking System Using GPS & GSM | 2013 | 3 |
| 17 | 2017 | 2 | |
| 18 | 2018 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2024 | 0 |
About Junaid Malik
Junaid Malik is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 408 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), EEG and Brain-Computer Interfaces (3 papers), Advanced Neural Network Applications (2 papers), Machine Learning and ELM (2 papers), Visual Attention and Saliency Detection (2 papers), Image and Signal Denoising Methods (2 papers), Music and Audio Processing (2 papers) and Gaze Tracking and Assistive Technology (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (118 citations), Cardiology and Cardiovascular Medicine (98 citations), Ophthalmology (31 citations), Radiology, Nuclear Medicine and Imaging (80 citations) and Neurology (28 citations). Junaid Malik has collaborated with scholars based in Finland, Qatar and Türkiye. Frequent co-authors include Moncef Gabbouj, Türker İnce, Serkan Kıranyaz, Alexandros Iosifidis, Özer Can Devecioğlu, Muhammad E. H. Chowdhury, Amith Khandakar, Anas Tahir, Eray Atalay and Tahir Hamid. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access, Computers in Biology and Medicine and IEEE Transactions on Neural Networks and Learning Systems.
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.