Salabat Khan
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- Context-Aware Activity Recognition Systems 7
- Media Technology top 5%
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data 10
- Cryptography and Data Security 8
- Internet Traffic Analysis and Secure E-voting 3
- Health Informatics top 10%
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- IoT and Edge/Fog Computing 8
- Network Security and Intrusion Detection 5
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- Vehicular Ad Hoc Networks (VANETs) 6
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- Blockchain Technology Applications and Security 6
- Co-authors
- Kaishun WuFei LuoZijian ZhangMubashir AhmadFarhan AminSyed Furqan QadriYandao HuangMaqbool Khan
- Journals
- Scientific Reports (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)IEEE Communications Surveys & Tutorials (2 papers)
- Partner nations
- ChinaPakistanSouth Korea
In The Last Decade
Salabat Khan
58 papers receiving 920 citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 227
- Media Technology 79
- Artificial Intelligence 288
- Health Informatics 12
- Computer Networks and Communications 186
Countries citing papers authored by Salabat Khan
This map shows the geographic impact of Salabat 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 Salabat Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salabat Khan more than expected).
Fields of papers citing papers by Salabat Khan
This network shows the impact of papers produced by Salabat 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 Salabat Khan. The network helps show where Salabat Khan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Salabat 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 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 47 | |
| 9 | Conventional to Deep Ensemble Methods for Hyperspectral Image Classification: A Comprehensive Surveybreakdown → | 2024 | 54 |
| 10 | 2024 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 11 | |
| 14 | 2024 | 24 | |
| 15 | 2023 | 54 | |
| 16 | 2023 | 23 | |
| 17 | 2023 | 17 | |
| 18 | 2023 | 16 | |
| 19 | 2021 | 50 | |
| 20 | Intelligent Clustering in Vehicular ad hoc Networks | 2016 | 20 |
About Salabat Khan
Salabat Khan is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence, having authored 60 papers that have together received 946 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (10 papers), IoT and Edge/Fog Computing (8 papers), Cryptography and Data Security (8 papers), Context-Aware Activity Recognition Systems (7 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers), Blockchain Technology Applications and Security (6 papers), Network Security and Intrusion Detection (5 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (227 citations), Media Technology (79 citations) and Artificial Intelligence (288 citations). Salabat Khan has collaborated with scholars based in China, Pakistan and South Korea. Frequent co-authors include Kaishun Wu, Fei Luo, Zijian Zhang, Mubashir Ahmad, Farhan Amin, Syed Furqan Qadri, Yandao Huang, Maqbool Khan, Salman Qadri and Farhan Ullah. Their work appears in journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and IEEE Communications Surveys & Tutorials.
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.