Shanbin Shi

557 total citations
45 papers, 432 citations indexed

About

Shanbin Shi is a scholar working on Aerospace Engineering, Materials Chemistry and Computational Mechanics. According to data from OpenAlex, Shanbin Shi has authored 45 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Aerospace Engineering, 15 papers in Materials Chemistry and 14 papers in Computational Mechanics. Recurrent topics in Shanbin Shi's work include Nuclear Engineering Thermal-Hydraulics (21 papers), Nuclear reactor physics and engineering (21 papers) and Heat Transfer and Boiling Studies (13 papers). Shanbin Shi is often cited by papers focused on Nuclear Engineering Thermal-Hydraulics (21 papers), Nuclear reactor physics and engineering (21 papers) and Heat Transfer and Boiling Studies (13 papers). Shanbin Shi collaborates with scholars based in United States, Singapore and Japan. Shanbin Shi's co-authors include Mamoru Ishii, Xiaodong Sun, Richard N. Christensen, Piyush Sabharwall, Yang Liu, Takashi Hibiki, Vivek Utgikar, Minghui Chen, Y. T. Chew and Won Sik Yang and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Applied Thermal Engineering and International Journal of Heat and Fluid Flow.

In The Last Decade

Shanbin Shi

43 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shanbin Shi United States 13 250 235 148 129 79 45 432
Yu Lei China 14 341 1.4× 292 1.2× 238 1.6× 67 0.5× 58 0.7× 54 527
Yandong Hou China 11 162 0.6× 165 0.7× 158 1.1× 101 0.8× 44 0.6× 38 328
Haozhi Bian China 14 298 1.2× 341 1.5× 139 0.9× 46 0.4× 81 1.0× 42 543
В. И. Мелихов Russia 11 206 0.8× 89 0.4× 165 1.1× 84 0.7× 132 1.7× 79 341
D. S. Pilkhwal India 14 380 1.5× 124 0.5× 348 2.4× 168 1.3× 56 0.7× 31 550
Adrian Tentner United States 12 220 0.9× 116 0.5× 205 1.4× 122 0.9× 119 1.5× 49 412
Elvis Dominguez-Ontiveros United States 9 201 0.8× 114 0.5× 319 2.2× 104 0.8× 60 0.8× 27 461
Dewen Yuan China 13 142 0.6× 329 1.4× 284 1.9× 224 1.7× 34 0.4× 33 483
Bo Kuang China 9 185 0.7× 106 0.5× 272 1.8× 199 1.5× 38 0.5× 48 403
Lorenzo Santini Italy 10 180 0.7× 475 2.0× 244 1.6× 217 1.7× 22 0.3× 15 593

Countries citing papers authored by Shanbin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Shanbin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanbin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Shanbin Shi. A scholar is included among the top collaborators of Shanbin 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 Shanbin Shi. Shanbin 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.
Shi, Shanbin, et al.. (2025). A data-driven based concurrent coupling approach for cryogenic propellant tank long-term pressure control predictions. Cryogenics. 149. 104098–104098. 1 indexed citations
2.
Shi, Shanbin, et al.. (2025). Operational characteristics and oscillatory phenomena in two-phase closed thermosyphons. Applied Thermal Engineering. 265. 125401–125401. 3 indexed citations
3.
Spencer, B.W., et al.. (2024). A Eulerian three-fluid flow framework for the study of fuel dispersal behavior under loss-of-coolant accident conditions. International Journal of Heat and Mass Transfer. 239. 126476–126476.
4.
Hartvigsen, Jeremy, Taehwan Ahn, Joseph Seo, et al.. (2024). Recent Developments and Findings of Heat Pipe Experiments for Microreactor Applications. Nuclear Technology. 211(5). 905–939. 7 indexed citations
5.
Shi, Shanbin, et al.. (2023). Modeling and simulation of cryogenic propellant tank pressurization in normal gravity. Applied Thermal Engineering. 236. 121628–121628. 17 indexed citations
6.
Shi, Shanbin, et al.. (2023). RANS-Based CFD Simulation of Jet-Induced Mixing and Jet Impingement on Large Bubble in Microgravity. Nuclear Technology. 209(12). 2016–2029. 1 indexed citations
7.
Shi, Shanbin, et al.. (2022). Design and Thermal-Hydraulic Performance Analysis of a Low-Temperature Heat Pipe Test Facility. Nuclear Science and Engineering. 197(5). 753–770. 4 indexed citations
8.
Wang, Dewei, Shanbin Shi, Yucheng Fu, et al.. (2021). Investigation of air-water two-phase flow characteristics in a 25.4 mm diameter circular pipe. Progress in Nuclear Energy. 138. 103813–103813. 8 indexed citations
9.
Shi, Shanbin, et al.. (2020). Liquid-phase turbulence measurements in air-water two-phase flows using particle image velocimetry. Progress in Nuclear Energy. 124. 103334–103334. 14 indexed citations
10.
Zhang, Sheng, et al.. (2018). A coupled heat transfer and tritium mass transport model for a double-wall heat exchanger design for FHRs. Annals of Nuclear Energy. 122. 328–339. 8 indexed citations
11.
Zhang, Sheng, D.J. Diamond, Stephen M. Bajorek, et al.. (2018). Phenomena identification and ranking table study for thermal hydraulics for Advanced High Temperature Reactor. Annals of Nuclear Energy. 124. 257–269. 10 indexed citations
12.
Shi, Shanbin, et al.. (2018). Code validation of a scaled-down DRACS model in RELAP5/SCDAPSIM/MOD 4.0. Annals of Nuclear Energy. 121. 452–460. 3 indexed citations
13.
Shi, Shanbin, et al.. (2018). Mass transport analysis for tritium removal in FHRs. Annals of Nuclear Energy. 121. 250–259. 6 indexed citations
14.
Liu, Qingqing, Shanbin Shi, Xiaodong Sun, & Joseph Kelly. (2018). Thermal hydraulic performance analysis of a post-CHF heat transfer test facility. Nuclear Engineering and Design. 339. 53–64. 9 indexed citations
15.
Shi, Shanbin, et al.. (2017). Assessment of RELAP5/MOD3.2 for startup transients in a natural circulation test facility. Annals of Nuclear Energy. 112. 257–266. 17 indexed citations
16.
Zhang, Xiaoqin, Shanbin Shi, Richard N. Christensen, & Xiaodong Sun. (2017). Review on Mechanical Design of Printed Circuit Heat Exchangers. 13 indexed citations
17.
Zhang, Sheng, Shanbin Shi, Xiaodong Sun, et al.. (2016). Tritium Release Limit for Fluoride Salt-cooled High-temperature Reactors. 115. 1059–1062. 3 indexed citations
18.
Shi, Shanbin & Mamoru Ishii. (2016). Modeling of flashing-induced flow instabilities for a natural circulation driven novel modular reactor. Annals of Nuclear Energy. 101. 215–225. 12 indexed citations
19.
Shi, Shanbin. (2015). Investigation of natural circulation instability and transients in passively safe novel modular reactor. Purdue e-Pubs (Purdue University System). 6 indexed citations
20.
Shi, Shanbin, Caleb S. Brooks, Jaehyuk Eoh, & Mamoru Ishii. (2014). Pressurized startup transient analyses for the BWR-type NMR-50. Transactions of the American Nuclear Society. 111. 1613–1615. 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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