Asifullah Khan
Impact in
-
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Chaos-based Image/Signal Encryption
- Biophysics top 0.5%
Papers in
-
- Advanced Steganography and Watermarking Techniques 32
- Digital Media Forensic Detection 26
- Chaos-based Image/Signal Encryption 23
- Biophysics 15
- Co-authors
- Maqsood HayatAneela ZameerNoorul WahabAqsa Saeed QureshiAnabia SohailSana MalikAdnan IdrisAnwar M. Mirza
- Journals
- Applied Soft Computing (9 papers)IEEE Access (8 papers)Scientific Reports (6 papers)Computers in Biology and Medicine (6 papers)Amino Acids (6 papers)
- Partner nations
- PakistanSouth KoreaSaudi Arabia
In The Last Decade
Asifullah Khan
200 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Computer Vision and Pattern Recognition 1.9k
- Biophysics 423
- Artificial Intelligence 1.8k
- Signal Processing 457
- Health Informatics 50
Countries citing papers authored by Asifullah Khan
This map shows the geographic impact of Asifullah Khan'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 Asifullah Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asifullah Khan more than expected).
Fields of papers citing papers by Asifullah Khan
This network shows the impact of papers produced by Asifullah Khan. 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 Asifullah Khan. The network helps show where Asifullah Khan may publish in the future.
Co-authors
The 25 scholars most cited alongside Asifullah Khan, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 26 | |
| 9 | 2021 | 21 | |
| 10 | 2021 | 65 | |
| 11 | 2021 | 25 | |
| 12 | 2020 | 12 | |
| 13 | 2019 | 25 | |
| 14 | Recent Progress on Generative Adversarial Networks (GANs): A Survey Hit paper breakdown → | 2019 | 422 |
| 15 | 2018 | 30 | |
| 16 | Denial of Service Attack in Wireless LAN | 2018 | 4 |
| 17 | 2015 | 1 | |
| 18 | Isolation and 16S rDNA sequence analysis of bacteria from dieback affected mango orchards in southern Pakistan. | 2014 | 9 |
| 19 | 2010 | 11 | |
| 20 | OPTIMIZING PERCEPTUAL SHAPING OF A DIGITAL WATERMARK USING GENETIC PROGRAMMING | 2004 | 12 |
About Asifullah Khan
Asifullah Khan is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Media Technology, Signal Processing and Artificial Intelligence, having authored 205 papers that have together received 6.2k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (32 papers), Machine Learning in Bioinformatics (27 papers), Digital Media Forensic Detection (26 papers), Chaos-based Image/Signal Encryption (23 papers), AI in cancer detection (21 papers), RNA and protein synthesis mechanisms (17 papers), Network Security and Intrusion Detection (14 papers) and Genomics and Phylogenetic Studies (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Biophysics (423 citations), Artificial Intelligence (1.8k citations), Signal Processing (457 citations) and Health Informatics (50 citations). Asifullah Khan has collaborated with scholars based in Pakistan, South Korea and Saudi Arabia. Frequent co-authors include Maqsood Hayat, Aneela Zameer, Noorul Wahab, Aqsa Saeed Qureshi, Anabia Sohail, Sana Malik, Adnan Idris, Anwar M. Mirza, Saddam Hussain Khan and E.U. Khan. Their work appears in journals such as Applied Soft Computing, IEEE Access, Scientific Reports, Computers in Biology and Medicine and Amino Acids.
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.