| LSTM Based Sentiment Analysis for Cryptocurrency Prediction X Huang, W Zhang, Y Huang, X Tang, M Zhang, J Surbiryala, V Iosifidis, ... arXiv preprint arXiv:2103.14804, 2021 | 72 | 2021 |
| Thicker clouds and accelerated Arctic sea ice decline: The atmosphere‐sea ice interactions in spring Y Huang, X Dong, DA Bailey, MM Holland, B Xi, AK DuVivier, JE Kay, ... Geophysical Research Letters 46 (12), 6980-6989, 2019 | 66 | 2019 |
| Process drivers, inter-model spread, and the path forward: A review of amplified Arctic warming PC Taylor, RC Boeke, LN Boisvert, N Feldl, M Henry, Y Huang, ... Frontiers in Earth Science 9, 758361, 2022 | 56 | 2022 |
| Quantifying the uncertainties of reanalyzed Arctic cloud and radiation properties using satellite surface observations Y Huang, X Dong, B Xi, EK Dolinar, RE Stanfield, S Qiu Journal of Climate 30 (19), 8007-8029, 2017 | 42 | 2017 |
| The footprints of 16 year trends of Arctic springtime cloud and radiation properties on September sea ice retreat Y Huang, X Dong, B Xi, EK Dolinar, RE Stanfield Journal of Geophysical Research: Atmospheres 122 (4), 2179-2193, 2017 | 28 | 2017 |
| Summertime low clouds mediate the impact of the large-scale circulation on Arctic sea ice Y Huang, Q Ding, X Dong, B Xi, I Baxter Communications Earth & Environment 2 (1), 38, 2021 | 25 | 2021 |
| A survey of the atmospheric physical processes key to the onset of Arctic sea ice melt in spring Y Huang, X Dong, B Xi, Y Deng Climate Dynamics 52, 4907-4922, 2019 | 23 | 2019 |
| Summertime atmosphere–sea ice coupling in the Arctic simulated by CMIP5/6 models: Importance of large-scale circulation R Luo, Q Ding, Z Wu, I Baxter, M Bushuk, Y Huang, X Dong Climate Dynamics 56, 1467-1485, 2021 | 22 | 2021 |
| Benchmarking of data-driven causality discovery approaches in the interactions of arctic sea ice and atmosphere Y Huang, M Kleindessner, A Munishkin, D Varshney, P Guo, J Wang Frontiers in big Data 4, 642182, 2021 | 20 | 2021 |
| Sea ice extent prediction with machine learning methods and subregional analysis in the Arctic S Chen, K Li, H Fu, YC Wu, Y Huang Atmosphere 14 (6), 1023, 2023 | 16 | 2023 |
| Sea ice forecasting using attention-based ensemble LSTM S Ali, Y Huang, X Huang, J Wang arXiv preprint arXiv:2108.00853, 2021 | 13 | 2021 |
| The climate response to increased cloud liquid water over the Arctic in CESM1: a sensitivity study of Wegener–Bergeron–Findeisen process Y Huang, X Dong, JE Kay, B Xi, EA McIlhattan Climate Dynamics 56, 3373-3394, 2021 | 13 | 2021 |
| Precipitation influence on and response to early and late arctic sea ice melt onset during melt season A Marcovecchio, A Behrangi, X Dong, B Xi, Y Huang International Journal of Climatology 42 (1), 81-96, 2022 | 11 | 2022 |
| A generic knowledge based medical diagnosis expert system X Huang, X Tang, W Zhang, J Zhang, M Zhang, W Gan, S Pei, Z Liu, ... the 23rd international conference on information integration and web …, 2021 | 11 | 2021 |
| How Does Air‐Sea Wave Interaction Affect Tropical Cyclone Intensity? An Atmosphere‐Wave‐Ocean Coupled Model Study Based on Super Typhoon Mangkhut (2018) Z Li, CY Tam, Y Li, NC Lau, J Chen, ST Chan, DS Dickson Lau, Y Huang Earth and Space Science 9 (3), e2021EA002136, 2022 | 10 | 2022 |
| Toward a more realistic representation of surface albedo in NASA CERES-derived surface radiative fluxes: A comparison with the MOSAiC field campaign: Comparison of CERES and … Y Huang, PC Taylor, FG Rose, DA Rutan, MD Shupe, MA Webster, ... Elem Sci Anth 10 (1), 00013, 2022 | 8 | 2022 |
| Multi-task deep learning based spatiotemporal arctic sea ice forecasting E Kim, P Kruse, S Lama, J Bourne, M Hu, S Ali, Y Huang, J Wang 2021 IEEE International Conference on Big Data (Big Data), 1847-1857, 2021 | 8 | 2021 |
| Scalable and flexible two-phase ensemble algorithms for causality discovery P Guo, Y Huang, J Wang Big Data Research 26, 100252, 2021 | 8 | 2021 |
| New observational constraints on warm rain processes and their climate implications X Dong, P Wu, Y Wang, B Xi, Y Huang Geophysical Research Letters 48 (6), e2020GL091836, 2021 | 7 | 2021 |
| Quantifying causes of arctic amplification via deep learning based time-series causal inference S Ali, O Faruque, Y Huang, MO Gani, A Subramanian, NJ Schlegel, ... 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | 4 | 2023 |
Xiquan DongUniversity of ArizonaVerified email at arizona.edu
