World's Best Scientists 2026 revealed!
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Computer Science
Pakistan
2026

D-Index & Metrics

Computer Science

D-Index
53
Citations
13150
World Ranking
4763
National Ranking
6

Research.com Recognitions

  • 2026 - Research.com Computer Science in Pakistan Leader Award
  • 2025 - Research.com Computer Science in Pakistan Leader Award

Overview

Asifullah Khan is affiliated with the Pakistan Institute of Engineering and Applied Sciences in Pakistan. Their research spans multiple domains within computer science and engineering, with a strong focus on artificial intelligence and its applications.

The scientist's main fields of study include:

  • Computer Science
  • Engineering

Within these fields, they have concentrated on several subfields, particularly:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Computer Networks and Communications
  • Aerospace Engineering

Their primary research topics cover areas such as:

  • AI in cancer detection
  • COVID-19 diagnosis using AI
  • Advanced Malware Detection Techniques
  • Network Security and Intrusion Detection
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Neural Network Applications
  • Brain Tumor Detection and Classification

Asifullah Khan has contributed to a variety of publication venues, often focusing on those related to computer science and medical imaging. Frequent venues for publication include:

  • arXiv (Cornell University)
  • IEEE Access
  • Scientific Reports
  • Journal of Khyber College of Dentistry
  • Computers in Biology and Medicine

Their recent scholarly papers reflect research in vision transformers, cancer detection, and medical image analysis. Selected papers include:

  • A survey of the vision transformers and their CNN-transformer based variants, 2023, Artificial Intelligence Review
  • A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI, 2022, Sensors
  • A multi-phase deep CNN based mitosis detection framework for breast cancer histopathological images, 2021, Scientific Reports
  • Deep convolutional neural network and emotional learning based breast cancer detection using digital mammography, 2021, Computers in Biology and Medicine
  • COVID-19 detection in chest X-ray images using deep boosted hybrid learning, 2021, Computers in Biology and Medicine

The scientist has collaborated extensively with other researchers such as:

  • Saddam Hussain Khan
  • Anabia Sohail
  • Zunaira Rauf
  • Jeonghwan Gwak
  • Abdul Rehman Khan

Best Publications

  • A survey of the recent architectures of deep convolutional neural networks

    Asifullah Khan;Anabia Sohail;Umme Zahoora;Aqsa Saeed Qureshi

  • Recent Progress on Generative Adversarial Networks (GANs): A Survey

    Zhaoqing Pan;Weijie Yu;Xiaokai Yi;Asifullah Khan

  • Wind power prediction using deep neural network based meta regression and transfer learning

    Aqsa Saeed Qureshi;Asifullah Khan;Aneela Zameer;Anila Usman

  • A recent survey of reversible watermarking techniques

    Asifullah Khan;Ayesha Siddiqa;Summuyya Munib;Sana Ambreen Malik

  • Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks

    Aneela Zameer;Junaid Arshad;Asifullah Khan;Muhammad Asif Zahoor Raja

  • Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition.

    Maqsood Hayat;Asifullah Khan

  • Discriminating outer membrane proteins with Fuzzy K-nearest Neighbor algorithms based on the general form of Chou's PseAAC.

    Maqsood Hayat;Asifullah Khan

  • Two-phase deep convolutional neural network for reducing class skewness in histopathological images based breast cancer detection

    Noorul Wahab;Asifullah Khan;Yeon Soo Lee

  • Intelligent reversible watermarking in integer wavelet domain for medical images

    Muhammad Arsalan;Sana Ambreen Malik;Asifullah Khan

  • Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies

    Adnan Idris;Muhammad Rizwan;Asifullah Khan

  • A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI

    Unknown

  • A Recent Survey on Colon Cancer Detection Techniques

    Saima Rathore;Mutawarra Hussain;Ahmad Ali;Asifullah Khan

  • Network anomaly detection using channel boosted and residual learning based deep convolutional neural network

    Naveed Chouhan;Asifullah Khan;Haroon-ur-Rasheed Khan

  • Analysis of dengue infection based on Raman spectroscopy and support vector machine (SVM).

    Saranjam Khan;Rahat Ullah;Asifullah Khan;Noorul Wahab

  • Genetic algorithm and difference expansion based reversible watermarking for relational databases

    Khurram Jawad;Asifullah Khan

  • Genetic perceptual shaping: Utilizing cover image and conceivable attack information during watermark embedding

    Asifullah Khan;Anwar M. Mirza

  • A multi-phase deep CNN based mitosis detection framework for breast cancer histopathological images.

    Anabia Sohail;Asifullah Khan;Noorul Wahab;Aneela Zameer

  • Transfer learning based deep CNN for segmentation and detection of mitoses in breast cancer histopathological images.

    Noorul Wahab;Asifullah Khan;Yeon Soo Lee

  • Machine learning based adaptive watermark decoding in view of anticipated attack

    Asifullah Khan;Syed Fahad Tahir;Abdul Majid;Tae-Sun Choi

  • Technical Communication: Authentication and recovery of images using multiple watermarks

    Rafiullah Chamlawi;Asifullah Khan;Imran Usman

  • Lattice constant prediction of cubic and monoclinic perovskites using neural networks and support vector regression

    Abdul Majid;Abdul Majid;Asifullah Khan;Gibran Javed;Anwar M. Mirza

  • MemHyb: predicting membrane protein types by hybridizing SAAC and PSSM.

    Maqsood Hayat;Asifullah Khan

Frequent Co-Authors

Tae-Sun Choi
Tae-Sun Choi Gwangju Institute of Science and Technology
Maqsood Hayat
Maqsood Hayat Abdul Wali Khan University Mardan
Muhammad Asif Zahoor Raja
Muhammad Asif Zahoor Raja National Yunlin University of Science and Technology
Muttukrishnan Rajarajan
Muttukrishnan Rajarajan City, University of London
Alessandra Lumini
Alessandra Lumini University of Bologna
Aamir Saeed Malik
Aamir Saeed Malik Brno University of Technology
Chang-Tsun Li
Chang-Tsun Li Deakin University

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