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Abbas Khosravi

1999–2026 年に発表

348
論文数
20,213
被引用数
72
h 指数
223
i10 指数

被引用数

Abbas Khosravi の年別被引用数1967 年: 被引用 1 件1982 年: 被引用 1 件1988 年: 被引用 1 件2001 年: 被引用 2 件2003 年: 被引用 2 件2004 年: 被引用 1 件2005 年: 被引用 1 件2006 年: 被引用 1 件2007 年: 被引用 1 件2008 年: 被引用 1 件2009 年: 被引用 4 件2010 年: 被引用 21 件2011 年: 被引用 30 件2012 年: 被引用 57 件2013 年: 被引用 95 件2014 年: 被引用 156 件2015 年: 被引用 211 件2016 年: 被引用 239 件2017 年: 被引用 312 件2018 年: 被引用 461 件2019 年: 被引用 702 件2020 年: 被引用 840 件2021 年: 被引用 1,397 件2022 年: 被引用 1,596 件2023 年: 被引用 1,574 件2024 年: 被引用 1,674 件2025 年: 被引用 1,295 件2026 年: 被引用 328 件2027 年: 被引用 2 件1968〜1981 年は被引用が無いため表示していません1983〜1987 年は被引用が無いため表示していません1989〜2000 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 2,411 件、この内訳の 20%アメリカ合衆国: 引用元論文 1,235 件、この内訳の 10.2%インド: 引用元論文 853 件、この内訳の 7.1%オーストラリア: 引用元論文 759 件、この内訳の 6.3%イギリス: 引用元論文 564 件、この内訳の 4.7%イラン: 引用元論文 481 件、この内訳の 4%カナダ: 引用元論文 334 件、この内訳の 2.8%ドイツ: 引用元論文 293 件、この内訳の 2.4%サウジアラビア: 引用元論文 270 件、この内訳の 2.2%イタリア: 引用元論文 263 件、この内訳の 2.2%韓国: 引用元論文 263 件、この内訳の 2.2%スペイン: 引用元論文 247 件、この内訳の 2%
0%20%その他 33.9%

機関

分野

  • Computer Science33.5%
  • Engineering28.5%
  • Medicine11.9%
  • Neuroscience8.6%
  • Health Professions3.4%
  • Decision Sciences2.5%
  • その他11.6%

トピック

  • 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%
  • その他84.1%

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. 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

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

    著者: Darius Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, U. Rajendra Acharya - Computer Methods and Programs in Biomedicine, Comput. Methods Programs Biomed. 2021 被引用: 352

  4. 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

  5. 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

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

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

  7. 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

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

    著者: Muhammad Qamar Raza, Abbas Khosravi - Renewable and Sustainable Energy Reviews 2015 被引用: 995

  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. 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

  11. 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

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

    著者: 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 被引用: 101

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

    著者: 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 被引用: 149

  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. 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

  16. 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

  17. 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

  18. 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

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

    著者: 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 被引用: 89

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

    著者: Hao Quan, Dipti Srinivasan, Abbas Khosravi - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2013 被引用: 614

  21. 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

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

    著者: 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 被引用: 52

  23. 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

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

    著者: 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 被引用: 148