Tianzhen Hong 个人学术档案

引用次数

	总计	2019 年至今
引用	21315	16859
h 指数	79	70
i10 指数	223	210

3900

1950

975

2925

20102011201220132014201520162017201820192020202120222023202473 59 86 110 198 328 638 1083 1484 1847 2304 3091 3559 3856 2178

开放获取的出版物数量

查看全部

211 篇文章

1 篇文章

可查看的文章

无法查看的文章

根据资助方的强制性开放获取政策

合著作者

Da YanProfessor, School of Architecture, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
Mary Ann PietteLBNL在 lbl.gov 的电子邮件经过验证
Sang Hoon LeeSenior Scientific Engineering Associate, Lawrence Berkeley National Laboratory在 lbl.gov 的电子邮件经过验证
Sarah C. Taylor-LangeLawrence Berkeley National Laboratory在 lbl.gov 的电子邮件经过验证
William O'BrienProfessor, Carleton University在 carleton.ca 的电子邮件经过验证
Rongpeng ZhangMechanical Engineering Post-Doctoral Fellow, Lawrence Berkeley National Laboratory在 lbl.gov 的电子邮件经过验证
Farhang TahmasebiUCL Institute for Environmental Design and Engineering在 ucl.ac.uk 的电子邮件经过验证
Xiaohang FENGTsinghua University在 mails.tsinghua.edu.cn 的电子邮件经过验证
Burak GunayCarleton University在 carleton.ca 的电子邮件经过验证
Hung-Wen LinGreen Energy & Environment Research Laboratories, ITRI, Taiwan在 itri.org.tw 的电子邮件经过验证
S.K. Chou (CHOU Siaw Kiang)National University of Singapore在 nus.edu.sg 的电子邮件经过验证
Will TurnerFacebook在 fb.com 的电子邮件经过验证
Anna Laura PiselloUniversity of Perugia, Italy. Dept. of Engineering - CIRIAF Interuniversity research centre在 unipg.it 的电子邮件经过验证
Michael WetterLBNL, Berkeley, CA在 lbl.gov 的电子邮件经过验证
Mahabir BhandariR&D Staff, Oak Ridge National Laboratory (ORNL)在 ornl.gov 的电子邮件经过验证
Xiaobing LiuOak Ridge National Laboratory在 ornl.gov 的电子邮件经过验证
Stephen SelkowitzLawrence Berkeley National Lab在 lbl.gov 的电子邮件经过验证
Liping WangUniversity of Wyoming在 uwyo.edu 的电子邮件经过验证
Wei TianTianjin University of Science and Technology 天津科技大学在 cam.ac.uk 的电子邮件经过验证

关注

Tianzhen Hong

Senior Scientist, FIBPSA, FASHRAE, Lawrence Berkeley National Lab

在 lbl.gov 的电子邮件经过验证 - 首页

building simulation building energy efficiency occupant behavior climate resilience urban


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Occupant behavior modeling for building performance simulation: current state and future challenges D YAN, L O’BRIEN, T Hong, X Feng, B GUNAY, F TAHMASEBI, ... Energy and Buildings, 2015	996	2015
Advances in Research and Applications of Energy-Related Occupant Behavior in Buildings T Hong, S Taylor-Lange, S D'Oca, D Yan, S Corgnati Energy and Buildings, Engineering Advances, 2016	598	2016
Ten questions concerning occupant behavior in buildings: The big picture T Hong, D Yan, S D'Oca, C Chen Building and Environment, 2017	566	2017
Building simulation: an overview of developments and information sources T Hong, SK Chou, TY Bong Building and Environment 35 (4), 347-361, 2000	525	2000
IEA EBC Annex 53: Total Energy Use in Buildings – Analysis and Evaluation Methods H Yoshino, T Hong, N Nord Energy and Buildings, 2017	457	2017
Quantifying the impacts of climate change and extreme climate events on energy systems ATD Perera, VM Nik, D Chen, JL Scartezzini, T Hong Nature Energy, 2020	454	2020
IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings D Yan, T Hong, B Dong, A Mahdavi, S D’Oca, I Gaetani, X Feng Energy and Buildings 156, 258-270, 2017	447	2017
The Human Dimensions of Energy Use in Buildings: A Review S D'Oca, T Hong, J Langevin Renewable and Sustainable Energy Reviews, 2017	402	2017
An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs Framework T Hong, S D'Oca, W Turner, S Taylor-Lange Building and Environment, 2015	402	2015
Reinforcement Learning for Building Controls: The opportunities and challenges Z Wang, T Hong Applied Energy, 2020	391	2020
Ten questions on urban building energy modeling T Hong, Y Chen, X Luo, N Luo, SH Lee Building and Environment, 2020	384	2020
Automatic Generation and Simulation of Urban Building Energy Models Based on City Datasets for City-Scale Building Retrofit Analysis Y Chen, T Hong, MA Piette Applied Energy, 2017	374	2017
Occupancy schedules learning process through a data mining framework S D'Oca, T Hong Energy and Buildings, 2015	363	2015
Building thermal load prediction through shallow machine learning and deep learning Z Wang, T Hong, MA Piette Applied Energy, 2020	324	2020
Occupant Behavior: Impact on Energy Use of Private Offices T Hong, HW Lin ASim 2012, 8, 2012	314	2012
A data-mining approach to discover patterns of window opening and closing behavior in offices S D'Oca, T Hong Building and Environment, 2014	297	2014
Simulation of occupancy in buildings X Feng, D Yan, T Hong Energy and Buildings, 2015	290	2015
Synthesizing building physics with social psychology: An interdisciplinary framework for context and occupant behavior in office buildings S D'Oca, C Chen, T Hong, Z Belafi Energy Research and Social Science, 2017	282*	2017
State-of-the-Art on Research and Applications of Machine Learning in the Building Life Cycle T Hong, Z Wang, X Luo, W Zhang Energy and Buildings, 2020	264	2020
Urban Building Energy Modeling (UBEM) Tools: A State-of-the-Art Review of bottom-up physics-based approaches M Ferrando, F Causone, T Hong, Y Chen Sustainable Cities and Society, 2020	237	2020

系统目前无法执行此操作，请稍后再试。

文章 1–20

每年引用数

重复的引用

合并的引用

添加合著者合著作者

上传 PDF

关注此作者

引用次数

合著作者

引用