Jun Shi

772 total citations
43 papers, 599 citations indexed

About

Jun Shi is a scholar working on Civil and Structural Engineering, Building and Construction and Mechanical Engineering. According to data from OpenAlex, Jun Shi has authored 43 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Civil and Structural Engineering, 26 papers in Building and Construction and 8 papers in Mechanical Engineering. Recurrent topics in Jun Shi's work include Structural Behavior of Reinforced Concrete (15 papers), Innovative concrete reinforcement materials (8 papers) and Structural Load-Bearing Analysis (7 papers). Jun Shi is often cited by papers focused on Structural Behavior of Reinforced Concrete (15 papers), Innovative concrete reinforcement materials (8 papers) and Structural Load-Bearing Analysis (7 papers). Jun Shi collaborates with scholars based in China, Canada and United States. Jun Shi's co-authors include Duygu Kocaefe, Guangchun Zhou, Bernard Riedl, Terry L. Amburgey, Jing Zhang, Anette M. Karlsson, Pengcheng Li, Kangkang Yang, Honghao Li and Weitao Li and has published in prestigious journals such as Construction and Building Materials, Materials Science and Engineering A and Composite Structures.

In The Last Decade

Jun Shi

41 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Shi China 13 355 244 131 91 82 43 599
Mohamed Bouazara Canada 11 369 1.0× 142 0.6× 348 2.7× 127 1.4× 88 1.1× 45 743
Kazimierz A. Orłowski Poland 18 337 0.9× 250 1.0× 404 3.1× 115 1.3× 55 0.7× 90 801
Štefan Barcík Slovakia 13 220 0.6× 77 0.3× 174 1.3× 63 0.7× 74 0.9× 52 434
Yasutoshi Sasaki Japan 15 511 1.4× 146 0.6× 218 1.7× 108 1.2× 165 2.0× 75 715
Rémy Marchal France 17 282 0.8× 90 0.4× 343 2.6× 138 1.5× 96 1.2× 52 655
Richard Kminiak Slovakia 12 155 0.4× 80 0.3× 176 1.3× 40 0.4× 66 0.8× 46 404
Mariana Domnica Stanciu Romania 12 132 0.4× 79 0.3× 144 1.1× 94 1.0× 109 1.3× 76 418
Daniel Chuchała Poland 13 163 0.5× 103 0.4× 245 1.9× 77 0.8× 31 0.4× 43 401
Pierre-Jean Méausoone France 11 152 0.4× 56 0.2× 164 1.3× 57 0.6× 42 0.5× 18 309
Robert Collet France 14 264 0.7× 40 0.2× 184 1.4× 79 0.9× 69 0.8× 29 440

Countries citing papers authored by Jun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Shi. A scholar is included among the top collaborators of Jun 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 Jun Shi. Jun 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, Jun, et al.. (2025). Engineering properties and sustainability assessment of UHPFRC incorporating recycled tyre steel and polymer fibers as substitutes for manufactured fibers. Construction and Building Materials. 468. 140440–140440. 2 indexed citations
2.
Yang, Jian, et al.. (2024). Machine learning assisted prediction and analysis of in-plane elastic modulus of hybrid hierarchical square honeycombs. Thin-Walled Structures. 198. 111736–111736. 13 indexed citations
3.
Dai, Hongzhe, et al.. (2024). Shear behavior of pre-damaged RC beams strengthened with UHPFRC-CFRP grid layer. Composite Structures. 349-350. 118520–118520. 4 indexed citations
4.
Yang, Kangkang, et al.. (2024). Shear behavior of regular oriented steel fiber-reinforced concrete beams reinforced with glass fiber polymer (GFRP) bars. Structures. 63. 106339–106339. 7 indexed citations
5.
Yang, Jian, et al.. (2024). Prediction and analysis of damage to RC columns under close-in blast loads based on machine learning and Monte Carlo method. Engineering Structures. 318. 118787–118787. 6 indexed citations
6.
Shi, Jun, et al.. (2024). APPLICATION OF MACHINE LEARNING MODELS AND GSA METHOD FOR DESIGNING STUD CONNECTORS. Journal of Civil Engineering and Management. 30(4). 373–390. 5 indexed citations
7.
Shi, Jun, et al.. (2024). Properties of Ultra-High Performance Concrete incorporating iron tailings powder and iron tailings sand. Journal of Building Engineering. 83. 108442–108442. 44 indexed citations
8.
He, Guoxi, et al.. (2023). Numerical investigation on the migration of leaked pollutants after liquid pressurized pipeline leakage regarding oil and gas parallel pipelines situation. Process Safety and Environmental Protection. 177. 1–16. 11 indexed citations
9.
Shi, Jun, et al.. (2023). The Routledge handbook of vocabulary studiesBy StuartWebb, London: Routledge. 2020. pp. xx + 598. ISBN: 978‐1‐138‐73572‐9. International Journal of Applied Linguistics. 34(1). 412–416. 1 indexed citations
10.
11.
Wang, Yuejun, et al.. (2021). Optimization of disassembly line balancing using an improved multi-objective Genetic Algorithm. Advances in Production Engineering & Management. 16(2). 240–252. 14 indexed citations
12.
Shi, Jun, et al.. (2020). Investigation of Residual Bearing Capacity of Corroded Reinforced Concrete Short Columns under Impact Load Based on Nondestructive Testing. Mathematical Problems in Engineering. 2020. 1–12. 7 indexed citations
13.
Shi, Jun, et al.. (2019). STRESSING STATE CHARACTERISTICS OF REINFORCEMENT CONCRETE BOX-GIRDERS STRENGTHENED WITH CARBON FIBER REINFORCED PLASTIC. Journal of Civil Engineering and Management. 26(1). 1–13. 3 indexed citations
14.
Zhou, Guangchun, Jun Shi, Pengcheng Li, & Honghao Li. (2019). Characteristics of structural state of stress for steel frame in progressive collapse. Journal of Constructional Steel Research. 160. 444–456. 28 indexed citations
15.
Shi, Jun. (2017). Feasible Domain Adjustment Topology Optimization Designs of Structures under Stochastic Loads. Journal of Mechanical Engineering. 53(23). 116–116.
16.
Wang, Mengqi, et al.. (2015). Design of TOD self-synchronization method in frequency hopping system. 54. 343–348. 2 indexed citations
17.
Shi, Jun, Bernard Riedl, James Deng, Alain Cloutier, & S. Y. Zhang. (2007). Impact of log position in the tree on mechanical and physical properties of black spruce medium-density fibreboard panels. Canadian Journal of Forest Research. 37(5). 866–873. 6 indexed citations
18.
Shi, Jun, Duygu Kocaefe, Terry L. Amburgey, & Jing Zhang. (2007). A comparative study on brown-rot fungus decay and subterranean termite resistance of thermally-modified and ACQ-C-treated wood. European Journal of Wood and Wood Products. 65(5). 353–358. 54 indexed citations
19.
Shi, Jun, et al.. (2005). Flexural Properties, Internal Bond Strength, and Dimensional Stability of Medium Density Fiberboard Panels Made from Hybrid Poplar Clones. Wood and Fiber Science. 37(4). 629–637. 15 indexed citations
20.
Shi, Jun, et al.. (2004). Aspects of the morphological evolution in thermal barrier coatings and the intrinsic thermal mismatch therein. Materials Science and Engineering A. 392(1-2). 301–312. 29 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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2026