litlas
ログインアカウント作成

Tanzila Saba

2009–2026 年に発表

379
論文数
20,506
被引用数
81
h 指数
292
i10 指数

被引用数

Tanzila Saba の年別被引用数1976 年: 被引用 1 件1993 年: 被引用 1 件1997 年: 被引用 2 件2000 年: 被引用 1 件2005 年: 被引用 1 件2008 年: 被引用 4 件2010 年: 被引用 3 件2011 年: 被引用 13 件2012 年: 被引用 78 件2013 年: 被引用 29 件2014 年: 被引用 115 件2015 年: 被引用 52 件2016 年: 被引用 133 件2017 年: 被引用 185 件2018 年: 被引用 298 件2019 年: 被引用 931 件2020 年: 被引用 1,062 件2021 年: 被引用 1,865 件2022 年: 被引用 1,626 件2023 年: 被引用 1,627 件2024 年: 被引用 1,780 件2025 年: 被引用 1,319 件2026 年: 被引用 359 件1977〜1992 年は被引用が無いため表示していません1994〜1996 年は被引用が無いため表示していません1998〜1999 年は被引用が無いため表示していません2001〜2004 年は被引用が無いため表示していません2006〜2007 年は被引用が無いため表示していません2009 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図インド: 引用元論文 2,100 件、この内訳の 18.1%中国: 引用元論文 1,293 件、この内訳の 11.1%サウジアラビア: 引用元論文 1,144 件、この内訳の 9.9%パキスタン: 引用元論文 952 件、この内訳の 8.2%アメリカ合衆国: 引用元論文 609 件、この内訳の 5.2%イギリス: 引用元論文 402 件、この内訳の 3.5%韓国: 引用元論文 375 件、この内訳の 3.2%マレーシア: 引用元論文 330 件、この内訳の 2.8%エジプト: 引用元論文 238 件、この内訳の 2.1%オーストラリア: 引用元論文 227 件、この内訳の 2%イラン: 引用元論文 220 件、この内訳の 1.9%トルコ: 引用元論文 214 件、この内訳の 1.8%
0%18.1%その他 30.2%

機関

分野

  • Computer Science48.5%
  • Medicine18%
  • Neuroscience14.4%
  • Engineering8.3%
  • Agricultural and Biological Sciences3%
  • Health Professions2.2%
  • その他5.6%

トピック

  • Brain Tumor Detection and Classification6%
  • AI in cancer detection5.1%
  • Advanced Neural Network Applications3.8%
  • COVID-19 diagnosis using AI3%
  • Network Security and Intrusion Detection2.6%
  • Digital Imaging for Blood Diseases2.5%
  • その他77%

共著者

全論文

検索で開く
  1. Anomaly-based intrusion detection system for IoT networks through deep learning model

    著者: Tanzila Saba, Amjad Rehman, Tariq Sadad, Hoshang Kolivand, Saeed Ali Bahaj - Computers & Electrical Engineering, Comput. Electr. Eng. 2022 被引用: 410

  2. A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer's Disease Stages Using Resting-State fMRI and Residual Neural Networks

    著者: Farheen Ramzan, Muhammad Usman Ghani Khan, Asim Rehmat, Sajid Iqbal, Tanzila Saba, Amjad Rehman, Zahid Mehmood - Journal of Medical Systems, J. Medical Syst. 2019 被引用: 430

  3. Human action recognition using fusion of multiview and deep features: an application to video surveillance

    著者: Muhammad Attique Khan, Kashif Javed, Sajid Ali Khan, Tanzila Saba, Usman Habib, Junaid Ali Khan, Aaqif Afzaal Abbasi - Multimedia Tools and Applications, Multim. Tools Appl. 2020 被引用: 261

  4. Smart cities: the role of Internet of Things and machine learning in realizing a data-centric smart environment

    著者: Amin Ullah, Syed Myhammad Anwar, Jianqiang Li, Lubna Nadeem, Tariq Mahmood, Amjad Rehman, Tanzila Saba - Complex & Intelligent Systems, Complex Intell. Syst. 2023 被引用: 233

  5. Brain tumor detection using fusion of hand crafted and deep learning features

    著者: Tanzila Saba, Ahmed Sameh Mohamed, Mohammed Ahmed El-Affendi, Javeria Amin, Muhammad Sharif - Cognitive Systems Research, Cogn. Syst. Res. 2019 被引用: 430

  6. Brain tumor detection and multi‐classification using advanced deep learning techniques

    著者: Tariq Sadad, Amjad Rehman, Asim Munir, Tanzila Saba, Usman Tariq, Noor Ayesha, Rashid Abbasi - Microscopy Research and Technique 2021 被引用: 262

  7. Harnessing the power of radiomics and deep learning for improved breast cancer diagnosis with multiparametric breast mammography

    著者: Tariq Mahmood, Tanzila Saba, Amjad Rehman, Faten S. Alamri - Expert Systems with Applications, Expert Syst. Appl. 2024 被引用: 132

  8. Brain Tumor Classification Using Meta-Heuristic Optimized Convolutional Neural Networks

    著者: Sarah Zuhair Kurdi, Mohammed Hasan Ali, Mustafa Musa Jaber, Tanzila Saba, Amjad Rehman, Robertas Damaševičius - Journal of Personalized Medicine 2023 被引用: 136

  9. Skin cancer detection from dermoscopic images using deep learning and fuzzy k‐means clustering

    著者: Marriam Nawaz, Zahid Mehmood, Tahira Nazir, Rizwan Ali Naqvi, Amjad Rehman, Munawar Iqbal, Tanzila Saba - Microscopy Research and Technique 2021 被引用: 253

  10. Deep Learning for Intrusion Detection and Security of Internet of Things (IoT): Current Analysis, Challenges, and Possible Solutions

    著者: Amjad Rehman, Muhammad Kashif, Rutvij H. Jhaveri, Roshani Raut, Tanzila Saba, Saeed Ali Bahaj - Security and Communication Networks 2022 被引用: 162

  11. Recent Advancements and Future Prospects in Active Deep Learning for Medical Image Segmentation and Classification

    著者: Tariq Mahmood, Amjad Rehman, Tanzila Saba, Lubna Nadeem, Saeed Ali Omer Bahaj - IEEE Access 2023 被引用: 120

  12. Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture

    著者: Amjad Rehman, Muhammad Attique Khan, Tanzila Saba, Zahid Mehmood, Usman Tariq, Noor Ayesha - Microscopy Research and Technique 2020 被引用: 306

  13. Brain Tumor Detection and Multi-Grade Segmentation Through Hybrid Caps-VGGNet Model

    著者: Ayesha Jabbar, Shahid Naseem, Tariq Mahmood, Tanzila Saba, Faten S. Alamri, Amjad Rehman - IEEE Access 2023 被引用: 138

  14. Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges

    著者: Tanzila Saba - Journal of Infection and Public Health 2020 被引用: 284

  15. Brain tumor detection using statistical and machine learning method

    著者: Javaria Amin, Muhammad Sharif, Mudassar Raza, Tanzila Saba, Muhammad Almas Anjum - Computer Methods and Programs in Biomedicine, Comput. Methods Programs Biomed. 2019 被引用: 281

  16. Region Extraction and Classification of Skin Cancer: A Heterogeneous framework of Deep CNN Features Fusion and Reduction

    著者: Tanzila Saba, Muhammad Attique Khan, Amjad Rehman, Souad Larabi Marie-Sainte - Journal of Medical Systems, J. Medical Syst. 2019 被引用: 250

  17. SIGNFORMER: DeepVision Transformer for Sign Language Recognition

    著者: Deep R. Kothadiya, Chintan M. Bhatt, Tanzila Saba, Amjad Rehman, Saeed Ali Bahaj - IEEE Access 2023 被引用: 116

  18. A Revisit of Internet of Things Technologies for Monitoring and Control Strategies in Smart Agriculture

    著者: Amjad Rehman, Tanzila Saba, Muhammad Kashif, Suliman Mohamed Fati, Saeed Ali Bahaj, Huma Chaudhry - Agronomy 2022 被引用: 291

  19. An Efficient Ensemble Approach for Alzheimer’s Disease Detection Using an Adaptive Synthetic Technique and Deep Learning

    著者: Muhammad Mujahid, Amjad Rehman, Teg Alam, Faten S. Alamri, Suliman Mohamed Fati, Tanzila Saba - Diagnostics 2023 被引用: 95

  20. Alzheimer's disease unveiled: Cutting-edge multi-modal neuroimaging and computational methods for enhanced diagnosis

    著者: Tariq Mahmood, Amjad Rehman, Tanzila Saba, Yu Wang, Faten S. Alamri - Biomedical Signal Processing and Control, Biomed. Signal Process. Control. 2024 被引用: 70

  21. Classification of acute lymphoblastic leukemia using deep learning

    著者: Amjad Rehman, Naveed Abbas, Tanzila Saba, Syed Ijaz Ur Rahman, Zahid Mehmood, Hoshang Kolivand - Microscopy Research and Technique 2018 被引用: 324

  22. Parkinson’s Disease Detection Using Hybrid LSTM-GRU Deep Learning Model

    著者: Amjad Rehman, Tanzila Saba, Muhammad Mujahid, Faten S. Alamri, Narmine ElHakim - Electronics 2023 被引用: 81

  23. Hybrid Retinal Image Enhancement Algorithm for Diabetic Retinopathy Diagnostic Using Deep Learning Model

    著者: Saif Hameed Abbood, Haza Nuzly Abdull Hamed, Mohd Shafry Mohd Rahim, Amjad Rehman, Tanzila Saba, Saeed Ali Bahaj - IEEE Access 2022 被引用: 129

  24. Current Techniques for Diabetes Prediction: Review and Case Study

    著者: Souad Larabi-Marie-Sainte, Linah Aburahmah, Rana Almohaini, Tanzila Saba - Applied Sciences 2019 被引用: 203