Muhammad Attique Khan

17.1k total citations · 7 hit papers
314 papers, 12.3k citations indexed

About

Muhammad Attique Khan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Muhammad Attique Khan has authored 314 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Artificial Intelligence, 119 papers in Computer Vision and Pattern Recognition and 60 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Muhammad Attique Khan's work include AI in cancer detection (49 papers), Smart Agriculture and AI (40 papers) and Brain Tumor Detection and Classification (40 papers). Muhammad Attique Khan is often cited by papers focused on AI in cancer detection (49 papers), Smart Agriculture and AI (40 papers) and Brain Tumor Detection and Classification (40 papers). Muhammad Attique Khan collaborates with scholars based in Pakistan, Saudi Arabia and South Korea. Muhammad Attique Khan's co-authors include Muhammad Sharif, Tallha Akram, Tanzila Saba, Muhammad Sharif, Amjad Rehman, Robertas Damaševičius, Majed Alhaisoni, Kashif Javed, Usman Tariq and Yudong Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computers in Human Behavior.

In The Last Decade

Muhammad Attique Khan

299 papers receiving 11.5k citations

Hit Papers

An automated detection an... 2018 2026 2020 2023 2018 2018 2020 2022 2021 100 200 300
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. An automated detection and classification of citrus plant diseases using image processing techniques: A review
    2018 343 citations Muhammad Attique Khan, Jamal Hussain Shah et al. profile →
  2. Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection
    2018 340 citations Muhammad Attique Khan et al. profile →
  3. Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
    2020 306 citations Muhammad Attique Khan, Majed Alhaisoni et al. Diagnostics profile →
  4. A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics
    2022 230 citations Muhammad Attique Khan, Seifedine Kadry et al. profile →
  5. Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework
    2021 198 citations Muhammad Attique Khan, Tallha Akram et al. profile →
  6. Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization
    2021 191 citations Muhammad Attique Khan, Tallha Akram et al. Diagnostics profile →
  7. Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion
    2022 191 citations Kiran Jabeen, Muhammad Attique Khan 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
Muhammad Attique Khan 4.5k 4.3k 2.3k 2.2k 2.0k 314 12.3k
Muhammad Sharif 2.4k 0.5× 2.9k 0.7× 1.3k 0.6× 1.7k 0.8× 1.7k 0.8× 137 7.2k
Tanzila Saba 5.3k 1.2× 6.1k 1.4× 2.6k 1.1× 899 0.4× 2.4k 1.2× 417 14.4k
Amjad Rehman 4.2k 0.9× 5.1k 1.2× 2.2k 1.0× 529 0.2× 2.0k 1.0× 397 11.6k
Shuihua Wang‎ 6.0k 1.3× 5.2k 1.2× 3.4k 1.5× 861 0.4× 4.3k 2.1× 356 16.5k
Ramprasaath R. Selvaraju 5.4k 1.2× 4.9k 1.1× 2.5k 1.1× 499 0.2× 418 0.2× 8 12.5k
Michael Cogswell 5.4k 1.2× 4.9k 1.1× 2.5k 1.1× 499 0.2× 419 0.2× 11 12.6k
Ramakrishna Vedantam 6.8k 1.5× 7.3k 1.7× 2.5k 1.1× 502 0.2× 418 0.2× 10 15.2k
Tallha Akram 1.5k 0.3× 1.2k 0.3× 541 0.2× 591 0.3× 279 0.1× 90 3.9k
Laith Alzubaidi 2.2k 0.5× 1.4k 0.3× 1.2k 0.5× 527 0.2× 320 0.2× 83 7.4k
Usman Tariq 1.9k 0.4× 1.4k 0.3× 879 0.4× 400 0.2× 644 0.3× 247 5.4k

Countries citing papers authored by Muhammad Attique Khan

Since Specialization
Citations

This map shows the geographic impact of Muhammad Attique 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 Attique 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 Attique Khan more than expected).

Fields of papers citing papers by Muhammad Attique Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Attique Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Attique Khan. A scholar is included among the top collaborators of Muhammad Attique 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 Attique Khan. Muhammad Attique Khan 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.
Khan, Muhammad Attique, et al.. (2024). Exploring ChatGPT applications in healthcare: a comprehensive overview. The Visual Computer. 41(7). 4893–4914. 4 indexed citations
2.
Ameta, Gaurav, Ihtiram Raza Khan, Renato R. Maaliw, et al.. (2024). Knowledge‐based deep learning system for classifying Alzheimer's disease for multi‐task learning. CAAI Transactions on Intelligence Technology. 9(4). 805–820. 9 indexed citations
3.
Khan, Muhammad Attique, et al.. (2024). BrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classification. Scientific Reports. 14(1). 5895–5895. 25 indexed citations
4.
Jabeen, Kiran, Muhammad Attique Khan, Ameer Hamza, et al.. (2024). An EfficientNet integrated ResNet deep network and explainable AI for breast lesion classification from ultrasound images. CAAI Transactions on Intelligence Technology. 10(3). 842–857. 10 indexed citations
5.
Jabeen, Kiran, Muhammad Attique Khan, Robertas Damaševičius, et al.. (2024). An intelligent healthcare framework for breast cancer diagnosis based on the information fusion of novel deep learning architectures and improved optimization algorithm. Engineering Applications of Artificial Intelligence. 137. 109152–109152. 13 indexed citations
6.
Anand, Ashima, Jatin Bedi, Ashutosh Aggarwal, Muhammad Attique Khan, & Imad Rida. (2024). Authenticating and securing healthcare records: A deep learning-based zero watermarking approach. Image and Vision Computing. 145. 104975–104975. 24 indexed citations
7.
Li, Jingbin, et al.. (2024). Imbalanced segmentation for abnormal cotton fiber based on GAN and multiscale residual U-Net. Alexandria Engineering Journal. 106. 25–41. 4 indexed citations
8.
Naseem, Mohd, et al.. (2024). An architectural view of VANETs cloud: its models, services, applications and challenges. International Journal of Web and Grid Services. 20(3). 292–341. 1 indexed citations
9.
Tariq, Usman, Irfan Ahmed, Muhammad Attique Khan, & Ali Kashif Bashir. (2024). Deep learning for economic transformation: a parametric review. Indonesian Journal of Electrical Engineering and Computer Science. 35(1). 520–520. 1 indexed citations
10.
Khan, Muhammad Attique, et al.. (2023). B 2 C 3 NetF 2 : Breast cancer classification using an end‐to‐end deep learning feature fusion and satin bowerbird optimization controlled Newton Raphson feature selection. CAAI Transactions on Intelligence Technology. 8(4). 1374–1390. 23 indexed citations
11.
Khan, Muhammad Attique, Robertas Damaševičius, Areej Alasiry, et al.. (2023). SkinNet-INIO: Multiclass Skin Lesion Localization and Classification Using Fusion-Assisted Deep Neural Networks and Improved Nature-Inspired Optimization Algorithm. Diagnostics. 13(18). 2869–2869. 40 indexed citations
12.
Sharif, Muhammad Imran, Muhammad Asim Saleem, Muhammad Attique Khan, et al.. (2023). Traffic Management in Internet of Vehicles Using Improved Ant Colony Optimization. Computers, materials & continua/Computers, materials & continua (Print). 75(3). 5379–5393. 4 indexed citations
13.
Khan, Muhammad Attique, et al.. (2023). Human Gait Recognition Based on Sequential Deep Learning and Best Features Selection. Computers, materials & continua/Computers, materials & continua (Print). 75(3). 5123–5140. 6 indexed citations
14.
Khan, Muhammad Attique, Asif Mehmood, Seifedine Kadry, et al.. (2023). TS2HGRNet: A paradigm of two stream best deep learning feature fusion assisted framework for human gait analysis using controlled environment in smart cities. Future Generation Computer Systems. 147. 292–303. 5 indexed citations
15.
Arshad, Quratulain, Mudassar Raza, Wazir Zada Khan, et al.. (2023). Anomalous Situations Recognition in Surveillance Images Using Deep Learning. Computers, materials & continua/Computers, materials & continua (Print). 76(1). 1103–1125. 6 indexed citations
16.
Ullah, Khalil, et al.. (2023). Real-World Driver Stress Recognition and Diagnosis Based on Multimodal Deep Learning and Fuzzy EDAS Approaches. Diagnostics. 13(11). 1897–1897. 10 indexed citations
17.
Nawaz, Marriam, Tahira Nazir, Jamel Baili, et al.. (2023). CXray-EffDet: Chest Disease Detection and Classification from X-ray Images Using the EfficientDet Model. Diagnostics. 13(2). 248–248. 33 indexed citations
18.
Ali, Muhammad Umair, Amad Zafar, Karam Dad Kallu, et al.. (2023). Correlation-Filter-Based Channel and Feature Selection Framework for Hybrid EEG-fNIRS BCI Applications. IEEE Journal of Biomedical and Health Informatics. 28(6). 3361–3370. 18 indexed citations
19.
Zahoor, Saliha, Ikram Ullah Lali, Muhammad Attique Khan, Kashif Javed, & Waqar Mehmood. (2020). Breast Cancer Detection and Classification using Traditional Computer Vision Techniques: A Comprehensive Review. Current Medical Imaging Formerly Current Medical Imaging Reviews. 16(10). 1187–1200. 51 indexed citations
20.
Shah, Jamal Hussain, et al.. (2020). Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features. Applied Sciences. 10(14). 4966–4966. 104 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.

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