Long Shi

7.4k total citations · 1 hit paper
248 papers, 5.7k citations indexed

About

Long Shi is a scholar working on Safety, Risk, Reliability and Quality, Mechanical Engineering and Building and Construction. According to data from OpenAlex, Long Shi has authored 248 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Safety, Risk, Reliability and Quality, 63 papers in Mechanical Engineering and 57 papers in Building and Construction. Recurrent topics in Long Shi's work include Fire dynamics and safety research (87 papers), Building Energy and Comfort Optimization (50 papers) and Solar Energy Systems and Technologies (41 papers). Long Shi is often cited by papers focused on Fire dynamics and safety research (87 papers), Building Energy and Comfort Optimization (50 papers) and Solar Energy Systems and Technologies (41 papers). Long Shi collaborates with scholars based in China, Australia and Singapore. Long Shi's co-authors include Guomin Zhang, Xudong Cheng, Michael Yit Lin Chew, Shaogang Zhang, Sujeeva Setunge, Yao Tao, Xudong Cheng, Yongzheng Yao, Dongmei Huang and Lunlun Gong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and The Science of The Total Environment.

In The Last Decade

Long Shi

237 papers receiving 5.5k citations

Hit Papers

Integrated triboelectric self-powering and piezoresistive... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long Shi China 42 1.6k 1.6k 1.3k 1.1k 994 248 5.7k
Behdad Moghtaderi Australia 51 1.1k 0.6× 1.3k 0.8× 3.7k 2.8× 1.1k 1.0× 638 0.6× 297 10.4k
Xudong Cheng China 40 785 0.5× 1.7k 1.1× 861 0.7× 1.6k 1.4× 238 0.2× 148 4.7k
Guan Heng Yeoh Australia 52 244 0.1× 1.6k 1.0× 2.2k 1.7× 877 0.8× 702 0.7× 368 10.7k
Shugang Wang China 41 645 0.4× 556 0.4× 1.3k 1.0× 1.7k 1.5× 708 0.7× 192 5.1k
José L. Torero United Kingdom 51 845 0.5× 6.8k 4.3× 560 0.4× 1.9k 1.7× 1.1k 1.1× 367 10.1k
Xinyan Huang Hong Kong 49 233 0.1× 3.7k 2.4× 414 0.3× 1.3k 1.2× 391 0.4× 302 7.3k
H. Spliethoff Germany 56 570 0.3× 375 0.2× 5.1k 3.9× 667 0.6× 481 0.5× 385 13.1k
Qinghua Guo China 40 363 0.2× 559 0.4× 2.0k 1.5× 846 0.8× 145 0.1× 240 5.4k
Heping Zhang China 32 271 0.2× 1.1k 0.7× 380 0.3× 586 0.5× 109 0.1× 123 3.4k
Cheuk Lun Chow Hong Kong 31 983 0.6× 979 0.6× 255 0.2× 624 0.6× 723 0.7× 142 3.0k

Countries citing papers authored by Long Shi

Since Specialization
Citations

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

Fields of papers citing papers by Long Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Long Shi. A scholar is included among the top collaborators of Long Shi 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 Long Shi. Long Shi 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.
Huang, Lin, Yong Wang, Zihao Song, et al.. (2025). Energy performance and fire risk of solar PV panels under partial shading: An experimental study. Renewable Energy. 246. 122910–122910. 4 indexed citations
2.
Tao, Yao, Xiaoqing Zhao, Wenqiang Li, Jiyuan Tu, & Long Shi. (2025). Evaluation of radiation-induced buoyant flow for building facades: A theoretical model for high-angle solar incidence. Renewable Energy. 246. 122879–122879.
3.
Han, Feng, et al.. (2025). Rapid integration strategy for oblique photogrammetry terrain and highway BIM models in large-scale scenarios. Automation in Construction. 177. 106354–106354.
4.
He, Pan, Yuelei Pan, Mingyuan Yan, et al.. (2024). Super thermal insulation SiC aerogel with high elasticity and good adsorption performance prepared by constructing coaxial precursor. Composites Part A Applied Science and Manufacturing. 181. 108153–108153. 7 indexed citations
5.
Shi, Long, et al.. (2024). Controlling naturally ventilated double-skin façade to reduce energy consumption in buildings. Renewable and Sustainable Energy Reviews. 202. 114649–114649. 17 indexed citations
6.
Dong, Wenkui, et al.. (2024). Graphene reinforced cement-based triboelectric nanogenerator for efficient energy harvesting in civil infrastructure. Nano Energy. 131. 110380–110380. 33 indexed citations
7.
Wang, Xiaonan, Yuhan Huang, Long Shi, S.S. Zhang, & Wengui Li. (2024). Enhanced thermal performance of phase change mortar using multi-scale carbon-based materials. Journal of Building Engineering. 98. 111259–111259. 4 indexed citations
8.
Tao, Yao, et al.. (2024). Solar radiation on naturally ventilated double skin facade in real climates: The impact of solar incidence angle. Renewable Energy. 232. 121124–121124. 5 indexed citations
9.
Huang, Youbo, Bing Wang, Long Shi, et al.. (2024). Theoretical models for predicting ventilation performance of vertical solar chimneys in tunnels. Renewable Energy. 232. 121023–121023. 1 indexed citations
10.
11.
Tao, Yao, Yihuan Yan, Jiyuan Tu, & Long Shi. (2024). Impact of wind on solar-induced natural ventilation through double-skin facade. Applied Energy. 364. 123205–123205. 7 indexed citations
12.
Huang, Lin, et al.. (2023). A temperature-dependent fire risk assessment framework for solar photovoltaic station. Sustainable Energy Technologies and Assessments. 60. 103467–103467. 6 indexed citations
13.
Tao, Yao, et al.. (2023). Experimental and numerical study on cooling performance of a novel earth-to-air heat exchanger system with an inlet plenum chamber. Energy Conversion and Management. 277. 116671–116671. 15 indexed citations
14.
15.
Bian, Ning, et al.. (2023). Experimental study on coupled combustion of PMMA counter-directional flame spread in the horizontal direction. Experimental Thermal and Fluid Science. 143. 110850–110850. 3 indexed citations
16.
Yan, Mingyuan, Xudong Cheng, Lunlun Gong, et al.. (2023). Flexible SiC nanowire/mullite fiber composite aerogel with adjustable strength based on micromechanical design. Chemical Engineering Journal. 466. 143089–143089. 32 indexed citations
17.
Tao, Yao, et al.. (2023). Performance comparison and enhancement of the thermal energy storage units under two expansion methods. Applied Thermal Engineering. 240. 122245–122245. 2 indexed citations
18.
Shi, Long, et al.. (2023). Determining the potential risks of naturally ventilated double skin façades. Renewable and Sustainable Energy Reviews. 191. 114064–114064. 14 indexed citations
19.
Tao, Yao, et al.. (2023). Natural convection and structural impact of rectangular PCM storage units through the modular expansion. Journal of Energy Storage. 68. 107781–107781. 6 indexed citations
20.
Jayasinghe, J. A. S. C., Everson Kandare, Dilan Robert, et al.. (2023). Evaluating Fire Performance of Glass–Polyurethane Composite for Sustainable Cladding via Numerical and Empirical Simulation. Polymers. 15(17). 3635–3635. 3 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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