Jihao Shi

2.0k total citations
76 papers, 1.5k citations indexed

About

Jihao Shi is a scholar working on Statistics, Probability and Uncertainty, Aerospace Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Jihao Shi has authored 76 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Statistics, Probability and Uncertainty, 33 papers in Aerospace Engineering and 31 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Jihao Shi's work include Risk and Safety Analysis (38 papers), Combustion and Detonation Processes (33 papers) and Fire Detection and Safety Systems (18 papers). Jihao Shi is often cited by papers focused on Risk and Safety Analysis (38 papers), Combustion and Detonation Processes (33 papers) and Fire Detection and Safety Systems (18 papers). Jihao Shi collaborates with scholars based in China, Hong Kong and Canada. Jihao Shi's co-authors include Guoming Chen, Yuan Zhu, Yuanjiang Chang, Faisal Khan, Asif Usmani, Xinyan Huang, Junjie Li, Xinqi Zhang, Jingde Li and Changshuai Zhang and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Jihao Shi

73 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jihao Shi China 24 543 500 413 247 231 76 1.5k
Ahmed Mébarki France 23 413 0.8× 217 0.4× 228 0.6× 251 1.0× 148 0.6× 100 1.5k
Liping Sun China 19 247 0.5× 250 0.5× 235 0.6× 330 1.3× 274 1.2× 90 1.3k
Sarah Bonvicini Italy 21 887 1.6× 283 0.6× 240 0.6× 107 0.4× 147 0.6× 42 1.3k
Yuanjiang Chang China 22 426 0.8× 156 0.3× 132 0.3× 525 2.1× 351 1.5× 85 1.3k
Changhang Xu China 22 196 0.4× 174 0.3× 132 0.3× 283 1.1× 448 1.9× 65 1.3k
Dracos Vassalos United Kingdom 21 391 0.7× 158 0.3× 83 0.2× 1.4k 5.5× 618 2.7× 192 2.0k
Shuhong Chai Australia 19 309 0.6× 136 0.3× 54 0.1× 550 2.2× 193 0.8× 90 1.1k
Hongwei Zhu China 14 305 0.6× 127 0.3× 68 0.2× 168 0.7× 245 1.1× 38 720
Olav R. Hansen Norway 29 1.0k 1.9× 1.7k 3.4× 1.0k 2.5× 101 0.4× 195 0.8× 60 2.5k
David McMillan United Kingdom 24 224 0.4× 774 1.5× 611 1.5× 475 1.9× 407 1.8× 96 2.6k

Countries citing papers authored by Jihao Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jihao Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jihao Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Jihao Shi. A scholar is included among the top collaborators of Jihao 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 Jihao Shi. Jihao 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.
Chen, Jian, et al.. (2025). Experimental study on fire thermal characteristics of flammable gases leakage underwater. Energy. 316. 134484–134484. 1 indexed citations
2.
Bi, Yubo, Jihao Shi, Shilu Wang, et al.. (2025). A hydrogen concentration evolution prediction method for hydrogen refueling station leakage based on the Informer model. International Journal of Hydrogen Energy. 143. 340–355. 3 indexed citations
3.
4.
Zhang, Xiaoning, Tianhang Zhang, Zilong Wang, et al.. (2025). AIoT-powered building digital twin for smart firefighting and super real-time fire forecast. Advanced Engineering Informatics. 65. 103117–103117. 10 indexed citations
5.
Wang, S., Yubo Bi, Jihao Shi, et al.. (2025). Real-time reconstruction of hydrogen leakage concentration field based on transient sparse monitoring data in hydrogen refueling stations. Renewable Energy. 254. 123690–123690. 1 indexed citations
6.
Li, Junjie, et al.. (2024). Real time hydrogen plume spatiotemporal evolution forecasting by using deep probabilistic spatial-temporal neural network. International Journal of Hydrogen Energy. 72. 878–891. 7 indexed citations
7.
Li, Junjie, et al.. (2024). Natural gas leakage detection from offshore platform by OGI camera and unsupervised deep learning. Journal of Loss Prevention in the Process Industries. 92. 105449–105449. 1 indexed citations
8.
Shi, Jihao, et al.. (2024). Flame propagation speed prediction model of premixed methane gas deflagration experiments based on Adamax-LSTM for FLNG. Journal of Loss Prevention in the Process Industries. 91. 105386–105386. 2 indexed citations
9.
Zhang, Xiaoning, Yishuo Jiang, Xiqiang Wu, et al.. (2024). AIoT-enabled digital twin system for smart tunnel fire safety management. Developments in the Built Environment. 18. 100381–100381. 28 indexed citations
10.
Liu, Jian, Jihao Shi, Tao Zhang, Jianhong Cheng, & Xiaosong Zhang. (2024). Separated condensation and cascaded evaporation – A novel method to improve ejector-compression heat pump cycle using zeotropic mixtures. Energy Conversion and Management. 304. 118217–118217. 8 indexed citations
11.
Shi, Jihao, Junjie Li, Wai Cheong Tam, Paolo Gardoni, & Asif Usmani. (2024). Physics_GNN: Towards Physics-informed graph neural network for the real-time simulation of obstructed gas explosion. Reliability Engineering & System Safety. 256. 110777–110777. 9 indexed citations
12.
Zhang, Xinqi, Jihao Shi, Junjie Li, et al.. (2024). Hydrogen jet and diffusion modeling by physics-informed graph neural network. Renewable and Sustainable Energy Reviews. 207. 114898–114898. 18 indexed citations
13.
14.
Zhang, Xiaoning, Yifei Ding, Yuxin Zhang, et al.. (2024). Smart real-time evaluation of tunnel fire risk and evacuation safety via computer vision. Safety Science. 177. 106563–106563. 20 indexed citations
15.
Shi, Jihao, He Zhang, Junjie Li, et al.. (2023). Real-time natural gas explosion modeling of offshore platforms by using deep learning probability approach. Ocean Engineering. 276. 114244–114244. 30 indexed citations
16.
Shi, Jihao, et al.. (2023). Localized water mist method enabling superior premixed hydrogen-methane-air deflagration mitigation in semi-confined space. International Journal of Hydrogen Energy. 50. 1458–1469. 8 indexed citations
17.
Zhang, Xinqi, Jihao Shi, Ming Yang, et al.. (2023). Real-time pipeline leak detection and localization using an attention-based LSTM approach. Process Safety and Environmental Protection. 174. 460–472. 58 indexed citations
18.
Zhang, Ying, et al.. (2023). A multi-level early warning strategy for the LiFePO4 battery thermal runaway induced by overcharge. Applied Energy. 347. 121375–121375. 53 indexed citations
19.
Liu, Zhongxian, et al.. (2023). Spatial distribution and machine learning-based prediction model of natural gas explosion loads in a utility tunnel. Tunnelling and Underground Space Technology. 140. 105272–105272. 29 indexed citations
20.
Bi, Yubo, Shilu Wang, Jihao Shi, et al.. (2023). Hydrogen leakage location prediction at hydrogen refueling stations based on deep learning. Energy. 284. 129361–129361. 40 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ahmed Mébarki Breakdown of academic impact, for papers by Liping Sun Breakdown of academic impact, for papers by Sarah Bonvicini Breakdown of academic impact, for papers by Yuanjiang Chang Breakdown of academic impact, for papers by Changhang Xu Breakdown of academic impact, for papers by Dracos Vassalos Breakdown of academic impact, for papers by Shuhong Chai Breakdown of academic impact, for papers by Hongwei Zhu Breakdown of academic impact, for papers by Olav R. Hansen Breakdown of academic impact, for papers by David McMillan
Rankless by CCL
2026