Yingli Lou

1.2k total citations
22 papers, 986 citations indexed

About

Yingli Lou is a scholar working on Building and Construction, Environmental Engineering and Economics and Econometrics. According to data from OpenAlex, Yingli Lou has authored 22 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Building and Construction, 9 papers in Environmental Engineering and 6 papers in Economics and Econometrics. Recurrent topics in Yingli Lou's work include Building Energy and Comfort Optimization (14 papers), Sustainable Building Design and Assessment (12 papers) and Environmental Impact and Sustainability (6 papers). Yingli Lou is often cited by papers focused on Building Energy and Comfort Optimization (14 papers), Sustainable Building Design and Assessment (12 papers) and Environmental Impact and Sustainability (6 papers). Yingli Lou collaborates with scholars based in United States, China and Hong Kong. Yingli Lou's co-authors include Liyin Shen, Zhenhua Huang, Siu Wai Wong, Wangda Zuo, Chenyang Shuai, Yunyang Ye, Xiangnan Song, Ya Wu, Shiju Liao and Gui Ye and has published in prestigious journals such as Journal of Cleaner Production, Energy and Buildings and International Journal of Environmental Research and Public Health.

In The Last Decade

Yingli Lou

22 papers receiving 967 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingli Lou United States 14 398 376 261 191 143 22 986
Shiju Liao China 9 308 0.8× 405 1.1× 127 0.5× 189 1.0× 118 0.8× 14 934
Guanying Huang China 14 243 0.6× 230 0.6× 161 0.6× 132 0.7× 92 0.6× 35 884
Xiangnan Song China 16 414 1.0× 435 1.2× 475 1.8× 107 0.6× 156 1.1× 28 1.3k
Daniele Vettorato Italy 17 188 0.5× 60 0.2× 165 0.6× 123 0.6× 53 0.4× 27 770
Hajime Seya Japan 16 126 0.3× 357 0.9× 115 0.4× 134 0.7× 72 0.5× 61 825
Yasin Sunak Germany 10 279 0.7× 453 1.2× 154 0.6× 92 0.5× 87 0.6× 11 1.3k
Pengpeng Xu China 19 399 1.0× 262 0.7× 618 2.4× 58 0.3× 103 0.7× 37 1.4k
Qingbin Guo China 7 229 0.6× 633 1.7× 46 0.2× 102 0.5× 45 0.3× 9 854
Haoyu Hu China 14 274 0.7× 531 1.4× 116 0.4× 338 1.8× 102 0.7× 32 1.1k
Guijun Li China 22 163 0.4× 166 0.4× 97 0.4× 130 0.7× 19 0.1× 51 1.2k

Countries citing papers authored by Yingli Lou

Since Specialization
Citations

This map shows the geographic impact of Yingli Lou'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 Yingli Lou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingli Lou more than expected).

Fields of papers citing papers by Yingli Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yingli Lou. 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 Yingli Lou. The network helps show where Yingli Lou may publish in the future.

Co-authorship network of co-authors of Yingli Lou

This figure shows the co-authorship network connecting the top 25 collaborators of Yingli Lou. A scholar is included among the top collaborators of Yingli Lou 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 Yingli Lou. Yingli Lou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lou, Yingli, et al.. (2024). Energy modeling of typical commercial buildings in support of ASHRAE building energy quotient energy rating program (ASHRAE RP-1771). Science and Technology for the Built Environment. 30(2). 101–133. 3 indexed citations
2.
Lou, Yingli, et al.. (2023). Regional carbon emission reduction prediction via retrofits of commercial buildings with a case study of US school buildings in hot climates. Building Simulation Conference proceedings. 18. 1 indexed citations
3.
Lou, Yingli, et al.. (2023). Long-term carbon intensity reduction potential of K-12 school buildings in the United States. Energy and Buildings. 282. 112802–112802. 9 indexed citations
4.
Lou, Yingli, et al.. (2022). Tradeoffs among indoor air quality, financial costs, and CO2 emissions for HVAC operation strategies to mitigate indoor virus in U.S. office buildings. Building and Environment. 221. 109282–109282. 19 indexed citations
5.
Ye, Yunyang, et al.. (2022). Evaluating performance of different generative adversarial networks for large-scale building power demand prediction. Energy and Buildings. 269. 112247–112247. 31 indexed citations
6.
7.
Lou, Yingli, et al.. (2022). The economic impacts of carbon emission trading scheme on building retrofits: A case study with U.S. medium office buildings. Building and Environment. 221. 109311–109311. 31 indexed citations
8.
Lou, Yingli, et al.. (2022). Individualized empirical baselines for evaluating the energy performance of existing buildings. Science and Technology for the Built Environment. 29(1). 19–33. 5 indexed citations
9.
Tian, Chenlu, Yunyang Ye, Yingli Lou, et al.. (2022). Daily power demand prediction for buildings at a large scale using a hybrid of physics-based model and generative adversarial network. Building Simulation. 15(9). 1685–1701. 22 indexed citations
10.
Lou, Yingli, et al.. (2021). The effect of building retrofit measures on CO2 emission reduction – A case study with U.S. medium office buildings. Energy and Buildings. 253. 111514–111514. 31 indexed citations
11.
12.
Lou, Yingli, et al.. (2021). Long-term carbon emission reduction potential of building retrofits with dynamically changing electricity emission factors. Building and Environment. 210. 108683–108683. 53 indexed citations
13.
Ye, Yunyang, et al.. (2020). Development of new baseline models for U.S. medium office buildings based on commercial buildings energy consumption survey data. Science and Technology for the Built Environment. 26(9). 1321–1336. 5 indexed citations
14.
Ye, Yunyang, et al.. (2020). How do electricity pricing programs impact the selection of energy efficiency measures? – A case study with U.S. Medium office buildings. Energy and Buildings. 224. 110267–110267. 12 indexed citations
15.
Lou, Yingli, et al.. (2019). The application of low-carbon city (LCC) indicators—A comparison between academia and practice. Sustainable Cities and Society. 51. 101677–101677. 41 indexed citations
16.
Wu, Ya, Yu Zhang, Chenyang Shuai, et al.. (2018). A new panel for analyzing the impact factors on carbon emission: A regional perspective in China. Ecological Indicators. 97. 260–268. 61 indexed citations
17.
Shen, Liyin, et al.. (2018). Improved coupling analysis on the coordination between socio-economy and carbon emission. Ecological Indicators. 94. 357–366. 140 indexed citations
18.
Shen, Liyin, et al.. (2018). A driving–driven perspective on the key carbon emission sectors in China. Natural Hazards. 93(1). 349–371. 13 indexed citations
19.
Lou, Yingli, Liyin Shen, Zhenhua Huang, et al.. (2018). Does the Effort Meet the Challenge in Promoting Low-Carbon City?—A Perspective of Global Practice. International Journal of Environmental Research and Public Health. 15(7). 1334–1334. 23 indexed citations
20.
Shen, Liyin, et al.. (2017). What drives the carbon emission in the Chinese cities?—A case of pilot low carbon city of Beijing. Journal of Cleaner Production. 174. 343–354. 242 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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