| Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information T Yang, AA Asanjan, E Welles, X Gao, S Sorooshian, X Liu Water Resources Research 53 (4), 2786-2812, 2017 | 263 | 2017 |
| Short‐term precipitation forecast based on the PERSIANN system and LSTM recurrent neural networks A Akbari Asanjan, T Yang, K Hsu, S Sorooshian, J Lin, Q Peng Journal of Geophysical Research: Atmospheres 123 (22), 12,543-12,563, 2018 | 165 | 2018 |
| PERSIANN-CNN: Precipitation estimation from remotely sensed information using artificial neural networks–convolutional neural networks M Sadeghi, AA Asanjan, M Faridzad, PHU Nguyen, K Hsu, S Sorooshian, ... Journal of Hydrometeorology 20 (12), 2273-2289, 2019 | 122 | 2019 |
| An enhanced artificial neural network with a shuffled complex evolutionary global optimization with principal component analysis T Yang, AA Asanjan, M Faridzad, N Hayatbini, X Gao, S Sorooshian Information Sciences 418, 302-316, 2017 | 95 | 2017 |
| Intercomparison of PERSIANN-CDR and TRMM-3B42V7 precipitation estimates at monthly and daily time scales PS Katiraie-Boroujerdy, AA Asanjan, K Hsu, S Sorooshian Atmospheric Research 193, 36-49, 2017 | 91 | 2017 |
| Bias correction of satellite-based precipitation estimations using quantile mapping approach in different climate regions of Iran PS Katiraie-Boroujerdy, M Rahnamay Naeini, A Akbari Asanjan, ... Remote Sensing 12 (13), 2102, 2020 | 43 | 2020 |
| Increasing heat‐stress inequality in a warming climate MR Alizadeh, JT Abatzoglou, JF Adamowski, JP Prestemon, B Chittoori, ... Earth's Future 10 (2), e2021EF002488, 2022 | 41 | 2022 |
| Assessment of seven CMIP5 model precipitation extremes over Iran based on a satellite‐based climate data set PS Katiraie‐Boroujerdy, A Akbari Asanjan, A Chavoshian, K Hsu, ... International Journal of Climatology 39 (8), 3505-3522, 2019 | 31 | 2019 |
| Spatiotemporal variations of precipitation over Iran using the high-resolution and nearly four decades satellite-based PERSIANN-CDR dataset H Mosaffa, M Sadeghi, N Hayatbini, V Afzali Gorooh, A Akbari Asanjan, ... Remote Sensing 12 (10), 1584, 2020 | 30 | 2020 |
| A deep learning image segmentation model for agricultural irrigation system classification E Raei, AA Asanjan, MR Nikoo, M Sadegh, S Pourshahabi, ... Computers and Electronics in Agriculture 198, 106977, 2022 | 28 | 2022 |
| Evaluation of PERSIANN-CDR constructed using GPCP V2. 2 and V2. 3 and a comparison with TRMM 3B42 V7 and CPC unified gauge-based analysis in global scale M Sadeghi, A Akbari Asanjan, M Faridzad, V Afzali Gorooh, P Nguyen, ... Remote Sensing 11 (23), 2755, 2019 | 26 | 2019 |
| Extreme heat events heighten soil respiration H Anjileli, LS Huning, H Moftakhari, S Ashraf, AA Asanjan, H Norouzi, ... Scientific Reports 11 (1), 6632, 2021 | 13 | 2021 |
| Robust and Explainable Semi-Supervised Deep Learning Model for Anomaly Detection in Aviation M Memarzadeh, A Akbari Asanjan, B Matthews Aerospace 9 (8), 437, 2022 | 9 | 2022 |
| Deep neural network high SpatioTEmporal resolution precipitation estimation (Deep-STEP) using passive microwave and infrared data VA Gorooh, AA Asanjan, P Nguyen, K Hsu, S Sorooshian Journal of Hydrometeorology 23 (4), 597-617, 2022 | 7 | 2022 |
| Learning instrument invariant characteristics for generating high-resolution global coral reef maps A Akbari Asanjan, K Das, A Li, V Chirayath, J Torres-Perez, S Sorooshian Proceedings of the 26th ACM SIGKDD International Conference on knowledge …, 2020 | 7 | 2020 |
| What you see is what you breathe? estimating air pollution spatial variation using Street-Level imagery E Suel, M Sorek-Hamer, I Moise, M Von Pohle, A Sahasrabhojanee, ... Remote sensing 14 (14), 3429, 2022 | 6 | 2022 |
| A deep learning approach for meter-scale air quality estimation in urban environments using very high-spatial-resolution satellite imagery M Sorek-Hamer, M Von Pohle, A Sahasrabhojanee, A Akbari Asanjan, ... Atmosphere 13 (5), 696, 2022 | 6 | 2022 |
| Discrepancies in changes in precipitation characteristics over the contiguous United States based on six daily gridded precipitation datasets I Mallakpour, M Sadeghi, H Mosaffa, AA Asanjan, M Sadegh, P Nguyen, ... Weather and climate extremes 36, 100433, 2022 | 5 | 2022 |
| Increasing heat-stress inequality in a warming climate. Earth’s Future 10 (2) MR Alizadeh, JT Abatzoglou, JF Adamowski, JP Prestemon, B Chittoori, ... | 5 | 2022 |
| The year the West was burning: How the 2020 wildfire season got so extreme M Sadegh, AA Asanjan, MR Alizadeh The Conversation, 2020 | 4 | 2020 |
soroosh sorooshianProfessor of Civil Engineering, UC IrvineGeverifieerd e-mailadres voor uci.edu
