Muhammad Ashfaq Khan
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition
- Information Systems
- Co-authors
- Yangwoo KimMd. Rezaul KarimFayaz Ali DharejoFarah DeebaXuezhi WangYi DuYuanchun ZhouDieter Groneberg
- Topics
- Network Security and Intrusion Detection (4 papers)Advanced Malware Detection Techniques (4 papers)Advanced Image Processing Techniques (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsElectronics Letters
- Partner nations
- South KoreaPakistanGermany
In The Last Decade
Muhammad Ashfaq Khan
14 papers receiving 543 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Computer Networks and Communications 363
- Artificial Intelligence 347
- Signal Processing 213
- Computer Vision and Pattern Recognition 53
- Information Systems 34
Countries citing papers authored by Muhammad Ashfaq Khan
This map shows the geographic impact of Muhammad Ashfaq 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 Muhammad Ashfaq Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Ashfaq Khan more than expected).
Fields of papers citing papers by Muhammad Ashfaq Khan
This network shows the impact of papers produced by Muhammad Ashfaq 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 Muhammad Ashfaq Khan. The network helps show where Muhammad Ashfaq Khan may publish in the future.
Co-authorship network of co-authors of Muhammad Ashfaq Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Ashfaq Khan. A scholar is included among the top collaborators of Muhammad Ashfaq Khan 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 Ashfaq Khan. Muhammad Ashfaq Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 41 | |
| 3 | 2 | |
| 4 | 23 | |
| 5 | 10 | |
| 6 | 34 | |
| 7 | 11 | |
| 8 | HCRNNIDS: Hybrid Convolutional Recurrent Neural Network-Based Network Intrusion Detection Systembreakdown → | 189 |
| 9 | 3 | |
| 10 | 73 | |
| 11 | 123 | |
| 12 | 40 | |
| 13 | Hepatic Stellate Cells in the Context of Liver Fibrosis | 1 |
| 14 | Phytomedicinal Studies of Kurram Agency in the Federally Administered Tribal Areas (FATA) of Pakistan | 9 |
About Muhammad Ashfaq Khan
Muhammad Ashfaq Khan is a scholar working on Signal Processing, Media Technology and Hepatology, having authored 14 papers that have together received 571 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (4 papers), Advanced Malware Detection Techniques (4 papers) and Advanced Image Processing Techniques (3 papers). The work is most often cited by research in Signal Processing (213 citations), Computer Networks and Communications (363 citations) and Artificial Intelligence (347 citations). Muhammad Ashfaq Khan has collaborated with scholars based in South Korea, Pakistan and Germany. Frequent co-authors include Yangwoo Kim, Md. Rezaul Karim, Fayaz Ali Dharejo, Farah Deeba, Xuezhi Wang, Yi Du, Yuanchun Zhou, Dieter Groneberg, Hoon Kim and Abdul Ghaffar. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Electronics Letters.
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.