Kaiyu Sun

2.8k total citations
50 papers, 2.2k citations indexed

About

Kaiyu Sun is a scholar working on Building and Construction, Environmental Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Kaiyu Sun has authored 50 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Building and Construction, 21 papers in Environmental Engineering and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Kaiyu Sun's work include Building Energy and Comfort Optimization (37 papers), Wind and Air Flow Studies (17 papers) and Smart Grid Energy Management (12 papers). Kaiyu Sun is often cited by papers focused on Building Energy and Comfort Optimization (37 papers), Wind and Air Flow Studies (17 papers) and Smart Grid Energy Management (12 papers). Kaiyu Sun collaborates with scholars based in United States, China and Japan. Kaiyu Sun's co-authors include Tianzhen Hong, Da Yan, Jared Langevin, Wanni Zhang, Mary Ann Piette, Max Wei, Sarah C. Taylor-Lange, Rongpeng Zhang, Na Luo and Jingjing An and has published in prestigious journals such as The Science of The Total Environment, Applied Energy and Energy.

In The Last Decade

Kaiyu Sun

49 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kaiyu Sun United States	27	1.7k	872	452	362	270	50	2.2k
Yeonsook Heo South Korea	21	1.3k 0.8×	768 0.9×	444 1.0×	451 1.2×	168 0.6×	69	2.0k
Paul Raftery United States	23	2.3k 1.3×	1.2k 1.4×	367 0.8×	452 1.2×	307 1.1×	71	2.7k
Pieter-Jan Hoes Netherlands	20	1.6k 0.9×	714 0.8×	254 0.6×	305 0.8×	155 0.6×	47	1.8k
Marco Filippi Italy	26	1.9k 1.1×	876 1.0×	406 0.9×	478 1.3×	308 1.1×	129	2.5k
Francesco Causone Italy	29	2.0k 1.1×	1.3k 1.5×	317 0.7×	260 0.7×	227 0.8×	84	2.4k
Vincenzo Corrado Italy	26	2.2k 1.3×	1.1k 1.2×	364 0.8×	499 1.4×	184 0.7×	146	2.7k
Jason Glazer United States	5	1.9k 1.1×	1.0k 1.1×	459 1.0×	421 1.2×	284 1.1×	7	2.2k
Juha Jokisalo Finland	30	2.3k 1.3×	1.1k 1.2×	854 1.9×	753 2.1×	413 1.5×	157	3.0k
Linda K. Lawrie United States	9	2.6k 1.5×	1.4k 1.6×	617 1.4×	574 1.6×	389 1.4×	18	3.0k

Countries citing papers authored by Kaiyu Sun

Since Specialization

Citations

This map shows the geographic impact of Kaiyu Sun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kaiyu Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiyu Sun more than expected).

Fields of papers citing papers by Kaiyu Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaiyu Sun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kaiyu Sun. The network helps show where Kaiyu Sun may publish in the future.

Co-authorship network of co-authors of Kaiyu Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiyu Sun. A scholar is included among the top collaborators of Kaiyu Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaiyu Sun. Kaiyu Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Han, et al.. (2025). Deciphering city-level residential AMI data: An unsupervised data mining framework and case study. Energy and AI. 20. 100484–100484. 1 indexed citations

Chong, Adrian, Da Yan, Kaiyu Sun, et al.. (2025). Ten questions concerning calibrating building energy simulation models. Building and Environment. 284. 113404–113404. 3 indexed citations

Li, Han, et al.. (2025). A cross-dimensional analysis of data-driven short-term load forecasting methods with large-scale smart meter data. Energy and Buildings. 344. 115909–115909. 1 indexed citations

Sun, Kaiyu, et al.. (2025). A prototype cooling blanket for mitigating occupant overheating risk in a hot indoor environment: Modeling and assessments. Building and Environment. 288. 113925–113925.

Sun, Kaiyu, et al.. (2025). High-performance windows improve thermal survivability of occupants during cold snaps. Energy and Built Environment. 1 indexed citations

Lamberts, Roberto, et al.. (2024). Defining weather scenarios for simulation-based assessment of thermal resilience of buildings under current and future climates: A case study in Brazil. Sustainable Cities and Society. 107. 105460–105460. 18 indexed citations

Hong, Tianzhen, et al.. (2024). Framework to select robust energy retrofit measures for residential communities. Energy and Buildings. 327. 115077–115077. 4 indexed citations

Hong, Tianzhen, Sang Hoon Lee, Wanni Zhang, et al.. (2023). Nexus of electrification and energy efficiency retrofit of commercial buildings at the district scale. Sustainable Cities and Society. 95. 104608–104608. 18 indexed citations

Sun, Kaiyu, et al.. (2023). Development of prototypical district-scale models. Building Simulation Conference proceedings. 18. 1 indexed citations

10.

Sun, Kaiyu, et al.. (2023). Assessing thermal resilience of an assisted living facility during heat waves and cold snaps with power outages. Building and Environment. 230. 110001–110001. 60 indexed citations

11.

Qiu, Yue, Suyang Zhou, Xia Dong, et al.. (2023). Local integrated energy system operational optimization considering multi‐type uncertainties: A reinforcement learning approach based on improved TD3 algorithm. IET Renewable Power Generation. 17(9). 2236–2256. 13 indexed citations

12.

Carnieletto, Laura, Martina Ferrando, Kaiyu Sun, et al.. (2021). Italian prototype building models for urban scale building performance simulation. Building and Environment. 192. 107590–107590. 80 indexed citations

13.

Luo, Xuan, Tianzhen Hong, & Kaiyu Sun. (2021). Simulating thermal resilience of buildings and their influence by urban microclimate using EnergyPlus. Building Simulation Conference proceedings. 17. 7 indexed citations

14.

Sun, Kaiyu, Wanni Zhang, Zhaoyun Zeng, et al.. (2021). Passive cooling designs to improve heat resilience of homes in underserved and vulnerable communities. Energy and Buildings. 252. 111383–111383. 60 indexed citations

15.

Zeng, Zhaoyun, Wanni Zhang, Kaiyu Sun, Max Wei, & Tianzhen Hong. (2021). Investigation of pre-cooling as a recommended measure to improve residential buildings’ thermal resilience during heat waves. Building and Environment. 210. 108694–108694. 39 indexed citations

16.

Wang, Jingyi, Zhe Wang, Ding Zhou, & Kaiyu Sun. (2019). Key issues and novel optimization approaches of industrial waste heat recovery in district heating systems. Energy. 188. 116005–116005. 32 indexed citations

17.

Granderson, Jessica, et al.. (2019). Realizing high-accuracy low-cost measurement and verification for deep cost savings. eScholarship (California Digital Library). 1 indexed citations

18.

Zhang, Rongpeng, et al.. (2018). A novel Variable Refrigerant Flow (VRF) heat recovery system model: Development and validation. Energy and Buildings. 168. 399–412. 37 indexed citations

19.

Sun, Kaiyu & Tianzhen Hong. (2017). A framework for quantifying the impact of occupant behavior on energy savings of energy conservation measures. Energy and Buildings. 146. 383–396. 153 indexed citations

20.

An, Jingjing, Da Yan, Tianzhen Hong, & Kaiyu Sun. (2017). A novel stochastic modeling method to simulate cooling loads in residential districts. Applied Energy. 206. 134–149. 98 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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