Lu Jiang

1.2k total citations
50 papers, 935 citations indexed

About

Lu Jiang is a scholar working on Pollution, Building and Construction and Environmental Engineering. According to data from OpenAlex, Lu Jiang has authored 50 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pollution, 13 papers in Building and Construction and 12 papers in Environmental Engineering. Recurrent topics in Lu Jiang's work include Energy and Environment Impacts (13 papers), Building Energy and Comfort Optimization (12 papers) and Urban Transport and Accessibility (8 papers). Lu Jiang is often cited by papers focused on Energy and Environment Impacts (13 papers), Building Energy and Comfort Optimization (12 papers) and Urban Transport and Accessibility (8 papers). Lu Jiang collaborates with scholars based in China, Germany and United Kingdom. Lu Jiang's co-authors include Bing Xue, Xingpeng Chen, Lu Yu, Xueyan Zhao, Zhifu Mi, Xiaoyan Zeng, Bing Zhou, Xiaonan Shi, Weijun Wang and Peijun Shi and has published in prestigious journals such as Journal of Cleaner Production, Journal of Materials Chemistry A and Energy Policy.

In The Last Decade

Lu Jiang

47 papers receiving 915 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Jiang China 20 266 243 204 172 172 50 935
Holger Schlör Germany 18 239 0.9× 129 0.5× 266 1.3× 91 0.5× 141 0.8× 41 861
Ru Guo China 13 166 0.6× 289 1.2× 221 1.1× 79 0.5× 151 0.9× 35 900
Mairi J. Black United Kingdom 9 353 1.3× 244 1.0× 263 1.3× 73 0.4× 224 1.3× 13 1.3k
Joel Millward-Hopkins United Kingdom 21 184 0.7× 291 1.2× 557 2.7× 180 1.0× 315 1.8× 36 1.6k
Gorka Bueno Spain 14 173 0.7× 159 0.7× 207 1.0× 93 0.5× 222 1.3× 25 759
Brijesh Mainali Sweden 19 481 1.8× 125 0.5× 126 0.6× 201 1.2× 202 1.2× 45 1.1k
Dongjie Niu China 21 274 1.0× 108 0.4× 169 0.8× 388 2.3× 157 0.9× 57 1.8k
Helmut Yabar Japan 21 98 0.4× 355 1.5× 343 1.7× 200 1.2× 132 0.8× 97 1.3k
Jun Nakatani Japan 21 272 1.0× 117 0.5× 332 1.6× 197 1.1× 49 0.3× 81 1.3k
Bert J. M. de Vries Netherlands 11 174 0.7× 182 0.7× 206 1.0× 81 0.5× 217 1.3× 19 1.1k

Countries citing papers authored by Lu Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Lu Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Jiang. A scholar is included among the top collaborators of Lu Jiang 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 Lu Jiang. Lu Jiang 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.
Fan, Yifan, et al.. (2025). A coupled hygrothermal transfer model with driving potential of moisture content for multilayer envelopes: Feasibility analysis and advantages demonstration. Journal of Building Engineering. 112. 113530–113530. 1 indexed citations
2.
Tang, Jinpeng, Nan Ge, Haining Meng, et al.. (2025). Relationships between the strength, hydrate process, structure and porosity of hydrated supersulfated cement with the addition of gypsum, anhydrite and phosphogypsum. Journal of the Indian Chemical Society. 102(7). 101776–101776. 2 indexed citations
3.
Zheng, Yingsheng, et al.. (2024). Spatial modelling of street-level carbon emissions with multi-source open data: A case study of Guangzhou. Urban Climate. 55. 101974–101974. 7 indexed citations
4.
Jiang, Lu, et al.. (2024). Household energy consumption of herders on the Qinghai–Tibetan Plateau: Profiles of natural and socio-economic factors. Energy and Buildings. 311. 114181–114181. 1 indexed citations
5.
6.
Jiang, Lu, et al.. (2024). The impact of thermal comfort requirements on household heating energy consumption. Journal of Building Engineering. 90. 109426–109426. 5 indexed citations
7.
Jiang, Lu, et al.. (2024). Age-driven energy poverty in urban household: Evidence from Guangzhou in China. Energy Sustainable Development. 78. 101369–101369. 7 indexed citations
8.
9.
Jiang, Lu, et al.. (2022). Household Energy Consumption Patterns and Carbon Emissions for the Megacities—Evidence from Guangzhou, China. Energies. 15(8). 2731–2731. 16 indexed citations
10.
Su, Yongxian, Jianping Wu, Philippe Ciais, et al.. (2022). Differential impacts of urbanization characteristics on city-level carbon emissions from passenger transport on road: Evidence from 360 cities in China. Building and Environment. 219. 109165–109165. 21 indexed citations
11.
Jiang, Lu, et al.. (2022). What factors affect household energy consumption in mega-cities? A case study of Guangzhou, China. Journal of Cleaner Production. 363. 132388–132388. 21 indexed citations
12.
Chen, Yamei & Lu Jiang. (2022). Influencing Factors of Direct Carbon Emissions of Households in Urban Villages in Guangzhou, China. International Journal of Environmental Research and Public Health. 19(24). 17054–17054. 3 indexed citations
13.
Yu, Lu, et al.. (2022). Do more efficient buildings lead to lower household energy consumption for cooling? Evidence from Guangzhou, China. Energy Policy. 168. 113119–113119. 33 indexed citations
14.
Zhao, Xueyan, et al.. (2021). What factors affect the water saving behaviors of farmers in the Loess Hilly Region of China?. Journal of Environmental Management. 292. 112683–112683. 38 indexed citations
15.
Li, Hongqing, et al.. (2020). Transport energy consumption of rural households in the Tibetan Plateau of China. Proceedings of the Institution of Civil Engineers - Energy. 174(3). 137–144. 1 indexed citations
16.
Li, Hongqing, Ran Xing, Lu Jiang, Xingpeng Chen, & Bing Xue. (2020). Household energy consumption characteristics of the Tus ethnic group in the northeast of the Tibetan Plateau. 自然资源学报. 35(11). 2793–2793. 1 indexed citations
17.
Jiang, Lu, et al.. (2020). Optimized mitigation of heat loss by avoiding wall-to-floor thermal bridges in reinforced concrete buildings. Journal of Building Engineering. 30. 101214–101214. 19 indexed citations
18.
Jiang, Lu, Lu Yu, Bing Xue, Xingpeng Chen, & Zhifu Mi. (2019). Who is energy poor? Evidence from the least developed regions in China. Energy Policy. 137. 111122–111122. 101 indexed citations
19.
Zhao, Xueyan, Haili Zhao, Lu Jiang, Chenyu Lu, & Bing Xue. (2018). The Influence of Farmers’ Livelihood Strategies on Household Energy Consumption in the Eastern Qinghai–Tibet Plateau, China. Sustainability. 10(6). 1780–1780. 12 indexed citations
20.
Ge, Jian, Lu Jiang, & Kazunori Hokao. (2003). Life cycle assessment in the environmental impact evaluation of urban development—a case study of land readjustment project, hyogo District, Japan. Journal of Zhejiang University. Science A. 4(6). 702–708. 2 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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