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Computer Science
Pakistan
2026

D-Index & Metrics

Computer Science

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

Asifullah Khan publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Asifullah Khan sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 214 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Asifullah Khan D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Asifullah Khan sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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
Yuhui Zheng
Yuhui Zheng Nanjing University of Information Science and Technology
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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