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Saeid Nahavandi

1995–2026 年に発表

789
論文数
33,146
被引用数
88
h 指数
461
i10 指数

被引用数

Saeid Nahavandi の年別被引用数1982 年: 被引用 1 件1988 年: 被引用 1 件1990 年: 被引用 1 件1993 年: 被引用 1 件2000 年: 被引用 1 件2001 年: 被引用 2 件2003 年: 被引用 1 件2004 年: 被引用 1 件2005 年: 被引用 3 件2006 年: 被引用 11 件2007 年: 被引用 19 件2008 年: 被引用 31 件2009 年: 被引用 46 件2010 年: 被引用 61 件2011 年: 被引用 75 件2012 年: 被引用 121 件2013 年: 被引用 209 件2014 年: 被引用 279 件2015 年: 被引用 381 件2016 年: 被引用 408 件2017 年: 被引用 626 件2018 年: 被引用 840 件2019 年: 被引用 1,336 件2020 年: 被引用 1,517 件2021 年: 被引用 2,408 件2022 年: 被引用 2,603 件2023 年: 被引用 2,421 件2024 年: 被引用 2,515 件2025 年: 被引用 2,040 件2026 年: 被引用 442 件2027 年: 被引用 2 件1983〜1987 年は被引用が無いため表示していません1989 年は被引用が無いため表示していません1991〜1992 年は被引用が無いため表示していません1994〜1999 年は被引用が無いため表示していません2002 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・地域の世界地図中国: 引用元論文 4,352 件、この内訳の 22.2%アメリカ合衆国: 引用元論文 2,042 件、この内訳の 10.4%オーストラリア: 引用元論文 1,301 件、この内訳の 6.6%インド: 引用元論文 1,249 件、この内訳の 6.4%イギリス: 引用元論文 942 件、この内訳の 4.8%カナダ: 引用元論文 577 件、この内訳の 3%イラン: 引用元論文 529 件、この内訳の 2.7%ドイツ: 引用元論文 514 件、この内訳の 2.6%イタリア: 引用元論文 514 件、この内訳の 2.6%韓国: 引用元論文 491 件、この内訳の 2.5%フランス: 引用元論文 369 件、この内訳の 1.9%スペイン: 引用元論文 363 件、この内訳の 1.9%
0%22.2%その他 32.4%

機関

分野

  • Computer Science35.8%
  • Engineering32.6%
  • Medicine10.3%
  • Neuroscience6.3%
  • Health Professions2.3%
  • Psychology2.1%
  • その他10.6%

トピック

  • EEG and Brain-Computer Interfaces1.8%
  • Energy Load and Power Forecasting1.7%
  • Neural Networks and Applications1.6%
  • Anomaly Detection Techniques and Applications1.5%
  • AI in cancer detection1.5%
  • Advanced Neural Network Applications1.4%
  • その他90.5%

共著者

全論文

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  1. A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

    著者: Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi - Information Fusion, Inf. Fusion 2021 被引用: 2,453

  2. Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications

    著者: Thanh Thi Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2020 被引用: 1,227

  3. Industry 5.0—A Human-Centric Solution

    著者: Saeid Nahavandi - Sustainability 2019 被引用: 1,544

  4. A review of Explainable Artificial Intelligence in healthcare

    著者: Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos - Computers & Electrical Engineering, Comput. Electr. Eng. 2024 被引用: 438

  5. Epileptic Seizures Detection Using Deep Learning Techniques: A Review

    著者: Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Mahboobeh Jafari, Parisa Moridian, Roohallah Alizadehsani, Maryam Panahiazar, Fahime Khozeimeh, Assef Zare, Hossein Hosseini‐Nejad, Abbas Khosravi, Amir F. Atiya, Diba Aminshahidi, Sadiq Hussain, Modjtaba Rouhani, Saeid Nahavandi, U. Rajendra Acharya - International Journal of Environmental Research and Public Health 2021 被引用: 437

  6. Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals

    著者: Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya - IEEE Transactions on Neural Networks, IEEE Trans. Neural Networks 2010 被引用: 746

  7. An intelligent driven deep residual learning framework for brain tumor classification using MRI images

    著者: Hossein Mehnatkesh, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi - Expert Systems with Applications, Expert Syst. Appl. 2022 被引用: 178

  8. Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning

    著者: Moloud Abdar, Maryam Samami, Sajjad Dehghani Mahmoodabad, Thang Doan, Bogdan Mazoure, Reza Hashemifesharaki, Li Liu, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi - Computers in Biology and Medicine, Comput. Biol. Medicine 2021 被引用: 226

  9. Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances

    著者: Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya - IEEE Transactions on Neural Networks, IEEE Trans. Neural Networks 2011 被引用: 666

  10. Comments on ‘Information measure for performance of image fusion’

    著者: Mohammed Hossny, Saeid Nahavandi, Douglas Creighton - Electronics Letters 2008 被引用: 498

  11. SpinalNet: Deep Neural Network With Gradual Input

    著者: Hussain Mohammed Dipu Kabir, Moloud Abdar, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan - IEEE Transactions on Artificial Intelligence, IEEE Trans. Artif. Intell. 2022 被引用: 159

  12. Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication

    著者: Lakshmanan Shanmugam, Mani Prakash, Chee Peng Lim, Rajan Rakkiyappan, Pagavathigounder Balasubramaniam, Saeid Nahavandi - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2016 被引用: 349

  13. Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications

    著者: Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi - IEEE Access 2018 被引用: 269

  14. Machine learning-based coronary artery disease diagnosis: A comprehensive review

    著者: Roohallah Alizadehsani, Moloud Abdar, Mohamad Roshanzamir, Abbas Khosravi, Parham M. Kebria, Fahime Khozeimeh, Saeid Nahavandi, Nizal Sarrafzadegan, U. Rajendra Acharya - Computers in Biology and Medicine, Comput. Biol. Medicine 2019 被引用: 269

  15. A Review of Situation Awareness Assessment Approaches in Aviation Environments

    著者: Thanh Nguyen, Chee Peng Lim, Ngoc Duy Nguyen, Lee Gordon-Brown, Saeid Nahavandi - IEEE Systems Journal, IEEE Syst. J. 2019 被引用: 183

  16. The internet of medical things and artificial intelligence: trends, challenges, and opportunities

    著者: Kourosh Kakhi, Roohallah Alizadehsani, H M Dipu Kabir, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya - Journal of Applied Biomedicine 2022 被引用: 135

  17. Review and performance evaluation of path tracking controllers of autonomous vehicles

    著者: Mohammad Rokonuzzaman, Navid Mohajer, Saeid Nahavandi, Shady Mohamed - IET Intelligent Transport Systems 2021 被引用: 177

  18. Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review

    著者: Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya - Computers in Biology and Medicine, Comput. Biol. Medicine 2021 被引用: 183

  19. Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting

    著者: Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abdollah Kavousi-Fard, Abbas Khosravi, Saeid Nahavandi - IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Trans. Syst. Man Cybern. Syst. 2021 被引用: 167

  20. RLMD‐PA: A Reinforcement Learning‐Based Myocarditis Diagnosis Combined with a Population‐Based Algorithm for Pretraining Weights

    著者: Seyed Vahid Moravvej, Roohallah Alizadehsani, Sadia Khanam, Zahra Sobhaninia, Afshin Shoeibi, Fahime Khozeimeh, Zahra Alizadeh Sani, Ru‐San Tan, Abbas Khosravi, Saeid Nahavandi, Nahrizul Adib Kadri, Muhammad Mokhzaini Azizan, N. Arunkumar, U. Rajendra Acharya - Contrast Media & Molecular Imaging 2022 被引用: 78

  21. A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting

    著者: Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Miadreza Shafie-khah, Saeid Nahavandi, João P. S. Catalão - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2021 被引用: 209

  22. Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification

    著者: Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro F. Frangi, U. Rajendra Acharya, Abbas Khosravi, Hak-Keung Lam, Alexander Jung, Saeid Nahavandi - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2022 被引用: 65

  23. An Overview on Artificial Intelligence Techniques for Diagnosis of Schizophrenia Based on Magnetic Resonance Imaging Modalities: Methods, Challenges, and Future Works

    著者: Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Mohammad Teshnehlab, Juan Manuel Górriz, Fahime Khozeimeh, Yu-Dong Zhang, Saeid Nahavandi, U. Rajendra Acharya - Computers in Biology and Medicine, Comput. Biol. Medicine 2022 被引用: 163

  24. A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges

    著者: Maryam Zare, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2024 被引用: 176