Asad Malik
Impact in
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- Digital Media Forensic Detection
- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Generative Adversarial Networks and Image Synthesis
- Signal Processing top 10%
Papers in
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- Advanced Steganography and Watermarking Techniques 15
- Digital Media Forensic Detection 13
- Chaos-based Image/Signal Encryption 13
- Generative Adversarial Networks and Image Synthesis 3
- Advanced Neural Network Applications 3
- Medical Image Segmentation Techniques 2
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- Adversarial Robustness in Machine Learning 2
- Co-authors
- Ahmad Neyaz Khan (8 shared papers)Sani M. Abdullahi (4 shared papers)Minoru Kuribayashi (6 shared papers)Hanzhou Wu (8 shared papers)Hongxia Wang (7 shared papers)Yanli Chen (4 shared papers)Amin Ul Haq (2 shared papers)Jianping Li (2 shared papers)
In The Last Decade
Asad Malik
27 papers receiving 556 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 322
- Signal Processing 76
- Health Information Management 29
- Health Informatics 8
- Artificial Intelligence 153
Countries citing papers authored by Asad Malik
This map shows the geographic impact of Asad 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 Asad Malik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asad Malik more than expected).
Fields of papers citing papers by Asad Malik
This network shows the impact of papers produced by Asad 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 Asad Malik. The network helps show where Asad Malik may publish in the future.
Co-authors
The 25 scholars most cited alongside Asad 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 143 | |
| 2 | 2022 | 133 | |
| 3 | 2022 | 55 | |
| 4 | 2019 | 33 | |
| 5 | 2020 | 30 | |
| 6 | 2023 | 28 | |
| 7 | 2019 | 22 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 14 | |
| 10 | 2019 | 13 | |
| 11 | 2018 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2023 | 4 | |
| 20 | 2019 | 4 |
About Asad Malik
Asad Malik is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Industrial and Manufacturing Engineering and Molecular Biology, having authored 28 papers that have together received 575 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (15 papers), Digital Media Forensic Detection (13 papers), Chaos-based Image/Signal Encryption (13 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Advanced Neural Network Applications (3 papers), Medical Image Segmentation Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Video Coding and Compression Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (322 citations), Signal Processing (76 citations), Health Information Management (29 citations), Health Informatics (8 citations) and Artificial Intelligence (153 citations). Asad Malik has collaborated with scholars based in China, India and Japan. Frequent co-authors include Ahmad Neyaz Khan, Sani M. Abdullahi, Minoru Kuribayashi, Hanzhou Wu, Hongxia Wang, Yanli Chen, Amin Ul Haq, Jianping Li, Shah Nazir and Mohammad Shahid. Their work appears in journals such as IEEE Access, Journal of Information Security and Applications, Multimedia Tools and Applications, Neurocomputing and Electronics.
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.