Ying Da Wang

Alıntı yapanlar

	Hepsi	2020 yılından bugüne
Alıntılar	1679	1652
h-endeksi	21	21
i10-endeksi	29	29

580

290

145

435

201920202021202220232024202521 99 234 276 378 564 100

Genel erişim

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2 makale

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Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Ryan T. ArmstrongProfessor, University of New South Walesunsw.edu.au üzerinde doğrulanmış e-posta adresine sahip
Peyman MostaghimiProfessor, University of New South Walesimperial.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Traiwit ChungPh.D. candidate, UNSW Australiastudent.unsw.edu.au üzerinde doğrulanmış e-posta adresine sahip
James E. McClurelbpm-sim.org üzerinde doğrulanmış e-posta adresine sahip
Kunning TangUniversity of New South Walesunsw.edu.au üzerinde doğrulanmış e-posta adresine sahip
Quentin MeyerFuel Cell Cluster Leader in the Nanoelectrochemistry group of University of New South Walesunsw.edu.au üzerinde doğrulanmış e-posta adresine sahip
Samuel J. JacksonCSIRO Energycsiro.au üzerinde doğrulanmış e-posta adresine sahip
Jonathan Ennis-KingCSIRO Energycsiro.au üzerinde doğrulanmış e-posta adresine sahip
Martin J BluntProfessor of Flow in Porous Media, Imperial College Londonimperial.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Arash RabbaniAssistant Professor in Computer Science, University of Leedsleeds.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Shiyang LiuUNSW Sydneystudent.unsw.edu.au üzerinde doğrulanmış e-posta adresine sahip
Paul ShearingEngineering Science and ZERO Institute, University of Oxford, RAEng Chair in Emerging Technologieseng.ox.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Francesco IacovielloExperimental Manager in the Electrochemical Innovation Lab X-ray imaging facility, UCLucl.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Dan BrettElectrochemical Innovation Lab, UCLucl.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Aleksandr ZhuravljovUniversity of Wyominguwyo.edu üzerinde doğrulanmış e-posta adresine sahip
Zakhar LanetcUNSWunsw.edu.au üzerinde doğrulanmış e-posta adresine sahip
Chad HargraveCSIROcsiro.au üzerinde doğrulanmış e-posta adresine sahip
Patrick TungAI Imaging Scientistunsw.edu.au üzerinde doğrulanmış e-posta adresine sahip
Klaus Regenauer-LiebDirector Research WASM:Minerals,Energy and Chemical Engineering, Curtin University Australiacurtin.edu.au üzerinde doğrulanmış e-posta adresine sahip
Hongli SuTU Delfttudelft.nl üzerinde doğrulanmış e-posta adresine sahip

Takip et

Ying Da Wang

Computational Research Engineer | Lecturer

unsw.edu.au üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

High Performance Computing Deep Learning Porous Media Cave Flow


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
Deep Learning in Pore Scale Imaging and Modeling YD Wang, MJ Blunt, RT Armstrong, P Mostaghimi Earth Science Reviews, 2021	196	2021
Enhancing resolution of digital rock images with Super Resolution Convolutional Neural Networks YD Wang, RT Armstrong, P Mostaghimi Journal of Petroleum Science and Engineering 182, 2019	152	2019
In-situ hydrogen wettability characterisation for Underground Hydrogen Storage S Higgs, YD Wang, C Sun, J Ennis-King, SJ Jackson, RT Armstrong, ... International Journal of Hydrogen Energy, 2022	138	2022
Deep Neural Networks for Improving Physical Accuracy of 2D and 3D Multi-Mineral Segmentation of Rock Micro-CT Images YD Wang, M Shabaninejad, RT Armstrong, P Mostaghimi Applied Soft Computing, 2021	132*	2021
Boosting Resolution and Recovering Texture of 2D and 3D micro‐CT Images with Deep Learning YD Wang, RT Armstrong, P Mostaghimi Water Resources Research, 2020	106	2020
DeePore: A deep learning workflow for rapid and comprehensive characterization of porous materials A Rabbani, M Babaei, R Shams, Y Da Wang, T Chung Advances in Water Resources 146, 103787, 2020	94	2020
ML-LBM: predicting and accelerating steady state flow simulation in porous media with convolutional neural networks YD Wang, T Chung, RT Armstrong, P Mostaghimi Transport in Porous Media 138 (1), 49-75, 2021	93*	2021
Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning YD Wang, Q Meyer, K Tang, JE McClure, RT White, ST Kelly, ... Nature Communications 14 (1), 745, 2023	82	2023
Computations of permeability of large rock images by dual grid domain decomposition YD Wang, T Chung, RT Armstrong, JE McClure, P Mostaghimi Advances in water resources 126, 1-14, 2019	71	2019
Approximating permeability of microcomputed-tomography images using elliptic flow equations T Chung, YD Wang, RT Armstrong, P Mostaghimi SPE Journal 24 (03), 1154-1163, 2019	67	2019
An innovative application of generative adversarial networks for physically accurate rock images with an unprecedented field of view Y Niu, YD Wang, P Mostaghimi, P Swietojanski, RT Armstrong Geophysical Research Letters 47 (23), e2020GL089029, 2020	58	2020
Accelerated computation of relative permeability by coupled morphological and direct multiphase flow simulation YD Wang, T Chung, RT Armstrong, J McClure, T Ramstad, P Mostaghimi Journal of Computational Physics 401, 108966, 2020	55	2020
Flow-based characterization of digital rock images using deep learning NJ Alqahtani, T Chung, YD Wang, RT Armstrong, P Swietojanski, ... SPE Journal 26 (04), 1800-1811, 2021	54	2021
Super-resolved segmentation of X-ray images of carbonate rocks using deep learning NJ Alqahtani, Y Niu, YD Wang, T Chung, Z Lanetc, A Zhuravljov, ... Transport in Porous Media 143 (2), 497-525, 2022	41	2022
Direct measurement of hydrogen relative permeability hysteresis for underground hydrogen storage S Higgs, Y Da Wang, C Sun, J Ennis-King, SJ Jackson, RT Armstrong, ... International Journal of Hydrogen Energy 50, 524-541, 2024	37	2024
Voxel agglomeration for accelerated estimation of permeability from micro-CT images T Chung, Y Da Wang, RT Armstrong, P Mostaghimi Journal of Petroleum Science and Engineering 184, 106577, 2020	31	2020
Deep convolutional neural network for 3D mineral identification and liberation analysis K Tang, Y Da Wang, P Mostaghimi, M Knackstedt, C Hargrave, ... Minerals Engineering 183, 107592, 2022	24	2022
CNN-PFVS: integrating neural network and finite volume models to accelerate flow simulation on pore space images T Chung, Y Da Wang, RT Armstrong, P Mostaghimi Transport in Porous Media 135, 25-37, 2020	24	2020
Segmentation of x-ray images of rocks using deep learning I Ar Rushood, N Alqahtani, YD Wang, M Shabaninejad, R Armstrong, ... SPE Annual Technical Conference and Exhibition?, D041S042R002, 2020	22	2020
Deep Learning for Full-Feature X-ray Microcomputed Tomography Segmentation of Proton Electron Membrane Fuel Cells K Tang, Q Meyer, R White, RT Armstrong, P Mostaghimi, YD Wang, S Liu, ... Computers & Chemical Engineering, 107768, 2022	21	2022

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