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Abbas Khosravi

Active 1999–2026

348
Papers
20,213
Citations
72
h-index
223
i10-index

Citations

Citations per year for Abbas Khosravi1967: 1 citations1982: 1 citations1988: 1 citations2001: 2 citations2003: 2 citations2004: 1 citations2005: 1 citations2006: 1 citations2007: 1 citations2008: 1 citations2009: 4 citations2010: 21 citations2011: 30 citations2012: 57 citations2013: 95 citations2014: 156 citations2015: 211 citations2016: 239 citations2017: 312 citations2018: 461 citations2019: 702 citations2020: 840 citations2021: 1,397 citations2022: 1,596 citations2023: 1,574 citations2024: 1,674 citations2025: 1,295 citations2026: 328 citations2027: 2 citations1968–1981: no citations, so these years are not shown1983–1987: no citations, so these years are not shown1989–2000: 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: 2,411 citing papers, 20% of this breakdownUnited States: 1,235 citing papers, 10.2% of this breakdownIndia: 853 citing papers, 7.1% of this breakdownAustralia: 759 citing papers, 6.3% of this breakdownUnited Kingdom: 564 citing papers, 4.7% of this breakdownIran: 481 citing papers, 4% of this breakdownCanada: 334 citing papers, 2.8% of this breakdownGermany: 293 citing papers, 2.4% of this breakdownSaudi Arabia: 270 citing papers, 2.2% of this breakdownItaly: 263 citing papers, 2.2% of this breakdownSouth Korea: 263 citing papers, 2.2% of this breakdownSpain: 247 citing papers, 2% of this breakdown
0%20%Other 33.9%

Institutions

Fields

  • Computer Science33.5%
  • Engineering28.5%
  • Medicine11.9%
  • Neuroscience8.6%
  • Health Professions3.4%
  • Decision Sciences2.5%
  • Other11.6%

Topics

  • Energy Load and Power Forecasting5%
  • EEG and Brain-Computer Interfaces2.4%
  • Neural Networks and Applications2.3%
  • Solar Radiation and Photovoltaics2.2%
  • AI in cancer detection2%
  • COVID-19 diagnosis using AI2%
  • Other84.1%

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. 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

  3. Application of artificial intelligence in wearable devices: Opportunities and challenges

    Authors: Darius Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, U. Rajendra Acharya - Computer Methods and Programs in Biomedicine, Comput. Methods Programs Biomed. 2021 cited by 352

  4. 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

  5. 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

  6. SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data

    Authors: Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Abbas Khosravi, Mohammad Bagher Menhaj, Ponnuthurai Nagaratnam Suganthan - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2023 cited by 131

  7. 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

  8. A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

    Authors: Muhammad Qamar Raza, Abbas Khosravi - Renewable and Sustainable Energy Reviews 2015 cited by 995

  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. 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

  11. 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

  12. Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review

    Authors: Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Sai Ho Ling, Abbas Khosravi, Hamid Alinejad-Rokny, Hak-Keung Lam, Matthew Fuller-Tyszkiewicz, U. Rajendra Acharya, Donovan Anderson, Yudong Zhang, Juan Manuel Górriz - Information Fusion, Inf. Fusion 2022 cited by 101

  13. Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies

    Authors: Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U. Rajendra Acharya, Juan Manuel Górriz - Biomedical Signal Processing and Control, Biomed. Signal Process. Control. 2021 cited by 149

  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. 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

  16. 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

  17. 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

  18. 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

  19. Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks

    Authors: Parul Arora, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Bijaya K. Panigrahi, Ponnuthurai N. Suganthan, Abbas Khosravi - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2022 cited by 89

  20. Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals

    Authors: Hao Quan, Dipti Srinivasan, Abbas Khosravi - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2013 cited by 614

  21. 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

  22. Attention-guided hierarchical fusion U-Net for uncertainty-driven medical image segmentation

    Authors: Afsana Ahmed Munia, Moloud Abdar, Mehedi Hasan, Mohammad S. Jalali, Biplab Banerjee, Abbas Khosravi, Ibrahim Hossain, Huazhu Fu, Alejandro F. Frangi - Information Fusion, Inf. Fusion 2024 cited by 52

  23. 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

  24. A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals

    Authors: Afshin Shoeibi, Navid Ghassemi, Roohallah Alizadehsani, Modjtaba Rouhani, Hossein Hosseini-Nejad, Abbas Khosravi, Maryam Panahiazar, Saeid Nahavandi - Expert Systems with Applications, Expert Syst. Appl. 2020 cited by 148