Khan Muhammad

22.5k total citations · 12 hit papers
283 papers, 15.3k citations indexed

About

Khan Muhammad is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Khan Muhammad has authored 283 papers receiving a total of 15.3k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Computer Vision and Pattern Recognition, 96 papers in Artificial Intelligence and 36 papers in Computer Networks and Communications. Recurrent topics in Khan Muhammad's work include Video Surveillance and Tracking Methods (67 papers), Advanced Steganography and Watermarking Techniques (32 papers) and Anomaly Detection Techniques and Applications (31 papers). Khan Muhammad is often cited by papers focused on Video Surveillance and Tracking Methods (67 papers), Advanced Steganography and Watermarking Techniques (32 papers) and Anomaly Detection Techniques and Applications (31 papers). Khan Muhammad collaborates with scholars based in South Korea, China and Pakistan. Khan Muhammad's co-authors include Sung Wook Baik, Amin Ullah, Victor Hugo C. de Albuquerque, Muhammad Sajjad, Jamil Ahmad, Javier Del Ser, Salman Khan, Tanveer Hussain, Irfan Mehmood and Jaime Lloret and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Industrial Electronics.

In The Last Decade

Khan Muhammad

274 papers receiving 14.7k citations

Hit Papers

Multi-grade brain tumor c... 2017 2026 2020 2023 2018 2017 2018 2018 2017 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Multi-grade brain tumor classification using deep CNN with extensive data augmentation
    2018 612 citations Muhammad Sajjad, Khan Muhammad et al. profile →
  2. Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features
    2017 541 citations Amin Ullah, Jamil Ahmad et al. IEEE Access profile →
  3. Convolutional Neural Networks Based Fire Detection in Surveillance Videos
    2018 379 citations Khan Muhammad, Jamil Ahmad et al. IEEE Access profile →
  4. Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications
    2018 376 citations Khan Muhammad, Jamil Ahmad et al. profile →
  5. Early fire detection using convolutional neural networks during surveillance for effective disaster management
    2017 362 citations Khan Muhammad, Jamil Ahmad et al. profile →
  6. Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions
    2020 356 citations Khan Muhammad, Amin Ullah et al. profile →
  7. Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation
    2017 285 citations Khan Muhammad et al. profile →
  8. The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems
    2017 277 citations Arun Kumar Sangaiah, Khan Muhammad et al. profile →
  9. Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey
    2020 275 citations Khan Muhammad, Javier Del Ser et al. profile →
  10. Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy
    2020 275 citations Ali Asghar Heidari, Khan Muhammad et al. profile →
  11. Federated learning for COVID-19 screening from Chest X-ray images
    2021 177 citations Khan Muhammad et al. profile →
  12. Quantum-Inspired Blockchain-Based Cybersecurity: Securing Smart Edge Utilities in IoT-Based Smart Cities
    2021 133 citations Irfan Mehmood, Khan Muhammad et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Khan Muhammad 7.3k 5.2k 2.1k 1.8k 1.7k 283 15.3k
Victor Hugo C. de Albuquerque 4.0k 0.6× 4.2k 0.8× 2.5k 1.2× 2.1k 1.2× 530 0.3× 372 15.6k
Sung Wook Baik 5.7k 0.8× 3.6k 0.7× 1.1k 0.5× 2.6k 1.4× 1.6k 0.9× 217 11.3k
Zhihan Lv 2.8k 0.4× 4.1k 0.8× 4.1k 2.0× 2.9k 1.6× 569 0.3× 449 17.6k
Javier Del Ser 2.1k 0.3× 6.6k 1.3× 1.2k 0.6× 1.6k 0.9× 354 0.2× 314 14.9k
Jieping Ye 8.7k 1.2× 7.9k 1.5× 943 0.5× 1.7k 0.9× 229 0.1× 439 25.3k
Laith Abualigah 3.8k 0.5× 12.9k 2.5× 3.3k 1.6× 4.3k 2.4× 269 0.2× 612 26.4k
Ali Asghar Heidari 4.2k 0.6× 16.3k 3.2× 1.8k 0.9× 3.9k 2.1× 316 0.2× 331 26.7k
Aboul Ella Hassanien 3.8k 0.5× 8.0k 1.6× 2.4k 1.2× 2.0k 1.1× 144 0.1× 669 19.5k
Luca Maria Gambardella 4.6k 0.6× 7.8k 1.5× 4.1k 2.0× 2.0k 1.1× 203 0.1× 241 21.6k
Ajith Abraham 3.5k 0.5× 11.3k 2.2× 5.5k 2.7× 2.9k 1.6× 328 0.2× 947 25.7k

Countries citing papers authored by Khan Muhammad

Since Specialization
Citations

This map shows the geographic impact of Khan Muhammad'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 Khan Muhammad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khan Muhammad more than expected).

Fields of papers citing papers by Khan Muhammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khan Muhammad. 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 Khan Muhammad. The network helps show where Khan Muhammad may publish in the future.

Co-authorship network of co-authors of Khan Muhammad

This figure shows the co-authorship network connecting the top 25 collaborators of Khan Muhammad. A scholar is included among the top collaborators of Khan Muhammad 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 Khan Muhammad. Khan Muhammad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Anwar, Saeed, et al.. (2025). SEDNet: Synergistic Learning Network with Embedded Encoder and Dense Atrous Convolution for Vehicle Re-identification. Alexandria Engineering Journal. 128. 297–305. 1 indexed citations
2.
Lee, Ik Hyun, et al.. (2025). MEXFIC: A meta ensemble eXplainable approach for AI-synthesized fake image classification. Alexandria Engineering Journal. 116. 351–363. 5 indexed citations
3.
Hijji, Mohammad, Mohammed M. Alwakeel, Ahmed M. Alwakeel, et al.. (2025). Multiagent Sensor Integration and Knowledge Distillation System for Real-Time Autonomous Vehicle Navigation. IEEE Systems Journal. 19(2). 382–391. 1 indexed citations
4.
Sahoo, Manmath Narayan, et al.. (2025). Virtual Network Embedding: Literature Assessment, Recent Advancements, Opportunities, and Challenges. IEEE Communications Surveys & Tutorials. 27(6). 3861–3914. 3 indexed citations
5.
Khan, Siraj M., Muhammad Sajjad, Naveed Abbas, et al.. (2024). Efficient leukocytes detection and classification in microscopic blood images using convolutional neural network coupled with a dual attention network. Computers in Biology and Medicine. 174. 108146–108146. 18 indexed citations
6.
Hussain, Altaf, Tanveer Hussain, Waseem Ullah, et al.. (2024). Big Data Analysis for Industrial Activity Recognition Using Attention-Inspired Sequential Temporal Convolution Network. IEEE Transactions on Big Data. 11(4). 1840–1851. 8 indexed citations
7.
Ali, Zafar, et al.. (2024). GLAMOR: Graph-based LAnguage MOdel embedding for citation Recommendation. 929–933. 1 indexed citations
8.
Munsif, Muhammad, Muhammad Sajjad, Mohib Ullah, et al.. (2024). Optimized efficient attention-based network for facial expressions analysis in neurological health care. Computers in Biology and Medicine. 179. 108822–108822. 7 indexed citations
9.
Jagatheesaperumal, Senthil Kumar, Khan Muhammad, Abdul Khader Jilani Saudagar, & Joel J. P. C. Rodrigues. (2023). Automated Fire Extinguishing System Using a Deep Learning Based Framework. Mathematics. 11(3). 608–608. 8 indexed citations
10.
Liu, Shaowu, et al.. (2022). ACSN: Attention capsule sampling network for diagnosing COVID-19 based on chest CT scans. Computers in Biology and Medicine. 153. 106338–106338. 11 indexed citations
11.
Parah, Shabir A., et al.. (2022). Adaptive Color Image Encryption Scheme Based on Multiple Distinct Chaotic Maps and DNA Computing. Mathematics. 10(12). 2004–2004. 16 indexed citations
12.
Sohail, Shahab Saquib, et al.. (2022). It’s Your Turn, Are You Ready to Get Vaccinated? Towards an Exploration of Vaccine Hesitancy Using Sentiment Analysis of Instagram Posts. Mathematics. 10(22). 4165–4165. 6 indexed citations
13.
Ullah, Fath U Min, Mohammad S. Obaidat, Amin Ullah, et al.. (2022). A Comprehensive Review on Vision-Based Violence Detection in Surveillance Videos. ACM Computing Surveys. 55(10). 1–44. 47 indexed citations
14.
Haq, Ijaz Ul, Tanveer Hussain, Khan Muhammad, et al.. (2022). PMAL: A Proxy Model Active Learning Approach for Vision Based Industrial Applications. ACM Transactions on Multimedia Computing Communications and Applications. 18(2s). 1–18. 5 indexed citations
15.
Shahid, Mohammad, et al.. (2021). Spatio-Temporal Self-Attention Network for Fire Detection and Segmentation in Video Surveillance. IEEE Access. 10. 1259–1275. 37 indexed citations
16.
Fahad, Muhammad, Farhan Aadil, Zahoor Ur Rehman, et al.. (2018). Grey wolf optimization based clustering algorithm for vehicular ad-hoc networks. Computers & Electrical Engineering. 70. 853–870. 145 indexed citations
17.
Das, Srijan, Khan Muhammad, Sambit Bakshi, et al.. (2018). Lip biometric template security framework using spatial steganography. Pattern Recognition Letters. 126. 102–110. 22 indexed citations
18.
Ahmad, Jamil, Khan Muhammad, & Sung Wook Baik. (2017). Data augmentation-assisted deep learning of hand-drawn partially colored sketches for visual search. PLoS ONE. 12(8). e0183838–e0183838. 22 indexed citations
19.
Sajjad, Muhammad, Siraj M. Khan, Zahoor Jan, et al.. (2016). Leukocytes Classification and Segmentation in Microscopic Blood Smear: A Resource-Aware Healthcare Service in Smart Cities. IEEE Access. 5. 3475–3489. 83 indexed citations
20.
Muhammad, Khan, et al.. (2010). Laparoscopic appendectomy for acute appendicitis: Is this a feasible option for developing countries?. SHILAP Revista de lepidopterología. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Victor Hugo C. de Albuquerque Breakdown of academic impact, for papers by Sung Wook Baik Breakdown of academic impact, for papers by Zhihan Lv Breakdown of academic impact, for papers by Javier Del Ser Breakdown of academic impact, for papers by Jieping Ye Breakdown of academic impact, for papers by Laith Abualigah Breakdown of academic impact, for papers by Ali Asghar Heidari Breakdown of academic impact, for papers by Aboul Ella Hassanien Breakdown of academic impact, for papers by Luca Maria Gambardella Breakdown of academic impact, for papers by Ajith Abraham
Rankless by CCL
2026