Long Shi

242 papers receiving 5.9k citations

Long Shi's Hit Papers

Integrated triboelectric self-powering and piezoresistive self-sensing cementitious composites for intelligent civil infrastructure 2025 · 27 citations
270Years since publication510152025

Peers

Long Shi
Comparison fields: 5 of 144
  • Safety, Risk, Reliability and Quality 1.7k
  • Building and Construction 1.7k
  • Ocean Engineering 1.2k
  • Environmental Engineering 1.1k
  • Renewable Energy, Sustainability and the Environment 616
Replace Xudong Cheng with:
Xudong Cheng China
Behdad Moghtaderi Australia
Guan Heng Yeoh Australia
Jiaping Liu China
José L. Torero United Kingdom
Heping Zhang China
Maria A. Founti Greece
Jinhua Sun China
Mats Sandberg Sweden
Yanping Yuan China
Long Shi relative to Xudong Cheng China Xudong Cheng's profile →
Citations per field
00.5×4.0×
Xudong Cheng · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Long Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Long Shi Line = papers co-authored together Long Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 252 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011159
2 2021154
3 2020141
4 2021140
5 2018135
6 2016116
7 2008106
8 201797
9 201691
10 201887
11 202086
12 201681
13 201981
14 201779
15 201877
16 201876
17 201970
18 201370
19 201768
20 201668

About Long Shi

Long Shi is a scholar working on Safety, Risk, Reliability and Quality, Mechanical Engineering, Building and Construction, Environmental Engineering and Ocean Engineering, having authored 252 papers that have together received 6.1k indexed citations. Recurring topics across this work include Fire dynamics and safety research (87 papers), Building Energy and Comfort Optimization (54 papers), Solar Energy Systems and Technologies (46 papers), Evacuation and Crowd Dynamics (40 papers), Wind and Air Flow Studies (32 papers), Fire effects on ecosystems (32 papers), Combustion and Detonation Processes (31 papers) and Flame retardant materials and properties (27 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (1.7k citations), Building and Construction (1.7k citations), Ocean Engineering (1.2k citations), Environmental Engineering (1.1k citations) and Renewable Energy, Sustainability and the Environment (616 citations). Long Shi has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Guomin Zhang, Xudong Cheng, Michael Yit Lin Chew, Shaogang Zhang, Sujeeva Setunge, Xudong Cheng, Yongzheng Yao, Yao Tao, Dongmei Huang and Lunlun Gong. Their work appears in journals such as Energy, Tunnelling and Underground Space Technology, Energy and Buildings, Applied Thermal Engineering and Sustainable Energy Technologies and Assessments.

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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