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h5 指数:146
h5 中位数:188

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#7 Sustainable Energy

标题/作者	引用次数	年份
Hydrogen production, storage, transportation and key challenges with applications: A review AM Abdalla, S Hossain, OB Nisfindy, AT Azad, M Dawood, AK Azad Energy Conversion and Management 165, 602-627	926	2018
Solar photovoltaic generation forecasting methods: A review S Sobri, S Koohi-Kamali, NA Rahim Energy Conversion and Management 156, 459-497	641	2018
A review of deep learning for renewable energy forecasting H Wang, Z Lei, X Zhang, B Zhou, J Peng Energy Conversion and Management 198, 111799	619	2019
A critical review of battery thermal performance and liquid based battery thermal management W Wu, S Wang, W Wu, K Chen, S Hong, Y Lai Energy Conversion and Management 182, 262-281	572	2019
Economics of biodiesel production SN Gebremariam, JM Marchetti Energy Conversion and Management 168, 74-84	452	2018
Co-pyrolysis of biomass and waste plastics as a thermochemical conversion technology for high-grade biofuel production: Recent progress and future directions elsewhere worldwide BB Uzoejinwa, X He, S Wang, AEF Abomohra, Y Hu, Q Wang Energy Conversion and Management 163, 468-492	416	2018
Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China J Fan, X Wang, L Wu, H Zhou, F Zhang, X Yu, X Lu, Y Xiang Energy Conversion and Management 164, 102-111	397	2018
How to decarbonise international shipping: Options for fuels, technologies and policies P Balcombe, J Brierley, C Lewis, L Skatvedt, J Speirs, A Hawkes, I Staffell Energy Conversion and Management 182, 72-88	396	2019
Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network H Liu, X Mi, Y Li Energy Conversion and Management 156, 498-514	394	2018
An updated review on application of nanofluids in heat exchangers for saving energy AH Pordanjani, S Aghakhani, M Afrand, B Mahmoudi, O Mahian, ... Energy Conversion and Management 198, 111886	378	2019
Investigation of biomass torrefaction based on three major components: Hemicellulose, cellulose, and lignin D Chen, A Gao, K Cen, J Zhang, X Cao, Z Ma Energy Conversion and Management 169, 228-237	371	2018
High-performance piezoelectric wind energy harvester with Y-shaped attachments J Wang, S Zhou, Z Zhang, D Yurchenko Energy Conversion and Management 181, 645-652	370	2019
The effect of nano-additives in diesel-biodiesel fuel blends: A comprehensive review on stability, engine performance and emission characteristics MEM Soudagar, NN Nik-Ghazali, MA Kalam, IA Badruddin, ... Energy Conversion and Management 178, 146-177	363	2018
Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM H Liu, X Mi, Y Li Energy Conversion and Management 159, 54-64	347	2018
Evaluation of thermochemical routes for hydrogen production from biomass: A review A Arregi, M Amutio, G Lopez, J Bilbao, M Olazar Energy Conversion and Management 165, 696-719	344	2018
A review on recent sizing methodologies of hybrid renewable energy systems J Lian, Y Zhang, C Ma, Y Yang, E Chaima Energy Conversion and Management 199, 112027	339	2019
Energy management of hybrid electric vehicles: A review of energy optimization of fuel cell hybrid power system based on genetic algorithm X Lü, Y Wu, J Lian, Y Zhang, C Chen, P Wang, L Meng Energy Conversion and Management 205, 112474	333	2020
A review and comparative evaluation of thermochemical water splitting cycles for hydrogen production F Safari, I Dincer Energy Conversion and Management 205, 112182	330	2020
A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework F Wang, Z Xuan, Z Zhen, K Li, T Wang, M Shi Energy Conversion and Management 212, 112766	329	2020
An efficient salp swarm-inspired algorithm for parameters identification of photovoltaic cell models R Abbassi, A Abbassi, AA Heidari, S Mirjalili Energy Conversion and Management 179, 362-372	325	2019

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