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Saeid Nahavandi

Active 1995–2026

789
Papers
33,146
Citations
88
h-index
461
i10-index

Citations

Citations per year for Saeid Nahavandi1982: 1 citations1988: 1 citations1990: 1 citations1993: 1 citations2000: 1 citations2001: 2 citations2003: 1 citations2004: 1 citations2005: 3 citations2006: 11 citations2007: 19 citations2008: 31 citations2009: 46 citations2010: 61 citations2011: 75 citations2012: 121 citations2013: 209 citations2014: 279 citations2015: 381 citations2016: 408 citations2017: 626 citations2018: 840 citations2019: 1,336 citations2020: 1,517 citations2021: 2,408 citations2022: 2,603 citations2023: 2,421 citations2024: 2,515 citations2025: 2,040 citations2026: 442 citations2027: 2 citations1983–1987: no citations, so these years are not shown1989: no citations, so this year is not shown1991–1992: no citations, so these years are not shown1994–1999: no citations, so these years are not shown2002: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 4,352 citing papers, 22.2% of this breakdownUnited States: 2,042 citing papers, 10.4% of this breakdownAustralia: 1,301 citing papers, 6.6% of this breakdownIndia: 1,249 citing papers, 6.4% of this breakdownUnited Kingdom: 942 citing papers, 4.8% of this breakdownCanada: 577 citing papers, 3% of this breakdownIran: 529 citing papers, 2.7% of this breakdownGermany: 514 citing papers, 2.6% of this breakdownItaly: 514 citing papers, 2.6% of this breakdownSouth Korea: 491 citing papers, 2.5% of this breakdownFrance: 369 citing papers, 1.9% of this breakdownSpain: 363 citing papers, 1.9% of this breakdown
0%22.2%Other 32.4%

Institutions

Fields

  • Computer Science35.8%
  • Engineering32.6%
  • Medicine10.3%
  • Neuroscience6.3%
  • Health Professions2.3%
  • Psychology2.1%
  • Other10.6%

Topics

  • 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%
  • Other90.5%

Coauthors

All papers

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

    Authors: 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 cited by 2,453

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

    Authors: Thanh Thi Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2020 cited by 1,227

  3. Industry 5.0—A Human-Centric Solution

    Authors: Saeid Nahavandi - Sustainability 2019 cited by 1,544

  4. A review of Explainable Artificial Intelligence in healthcare

    Authors: 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 cited by 438

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

    Authors: 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 cited by 437

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

    Authors: Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya - IEEE Transactions on Neural Networks, IEEE Trans. Neural Networks 2010 cited by 746

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

    Authors: Hossein Mehnatkesh, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi - Expert Systems with Applications, Expert Syst. Appl. 2022 cited by 178

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

    Authors: 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 cited by 226

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

    Authors: Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya - IEEE Transactions on Neural Networks, IEEE Trans. Neural Networks 2011 cited by 666

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

    Authors: Mohammed Hossny, Saeid Nahavandi, Douglas Creighton - Electronics Letters 2008 cited by 498

  11. SpinalNet: Deep Neural Network With Gradual Input

    Authors: 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 cited by 159

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

    Authors: 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 cited by 349

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

    Authors: Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi - IEEE Access 2018 cited by 269

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

    Authors: 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 cited by 269

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

    Authors: Thanh Nguyen, Chee Peng Lim, Ngoc Duy Nguyen, Lee Gordon-Brown, Saeid Nahavandi - IEEE Systems Journal, IEEE Syst. J. 2019 cited by 183

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

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

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

    Authors: Mohammad Rokonuzzaman, Navid Mohajer, Saeid Nahavandi, Shady Mohamed - IET Intelligent Transport Systems 2021 cited by 177

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

    Authors: 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 cited by 183

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

    Authors: 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 cited by 167

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

    Authors: 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 cited by 78

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

    Authors: 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 cited by 209

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

    Authors: 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 cited by 65

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

    Authors: 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 cited by 163

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

    Authors: Maryam Zare, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2024 cited by 176