Jiale Shen

1.8k total citations · 1 hit paper
58 papers, 1.4k citations indexed

About

Jiale Shen is a scholar working on Civil and Structural Engineering, Materials Chemistry and Building and Construction. According to data from OpenAlex, Jiale Shen has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Civil and Structural Engineering, 19 papers in Materials Chemistry and 13 papers in Building and Construction. Recurrent topics in Jiale Shen's work include Concrete and Cement Materials Research (28 papers), Innovative concrete reinforcement materials (23 papers) and Smart Materials for Construction (7 papers). Jiale Shen is often cited by papers focused on Concrete and Cement Materials Research (28 papers), Innovative concrete reinforcement materials (23 papers) and Smart Materials for Construction (7 papers). Jiale Shen collaborates with scholars based in China, United States and Australia. Jiale Shen's co-authors include Hui Lin, Yue Li, Zhi Yang, Li-Chun Xu, Yatong Wang, Yaqiang Li, Zhixue Tian, Bingling He, Hongwen Li and Ruiping Liu and has published in prestigious journals such as The Journal of Chemical Physics, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Jiale Shen

54 papers receiving 1.4k citations

Hit Papers

Optimization design for alkali-activated slag-fly ash geo... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiale Shen China 21 699 579 428 275 115 58 1.4k
Jin Di China 22 608 0.9× 974 1.7× 378 0.9× 662 2.4× 38 0.3× 99 1.8k
Jiandong Wu China 26 1.5k 2.1× 504 0.9× 927 2.2× 265 1.0× 50 0.4× 136 2.4k
Jizhou Chen China 14 324 0.5× 430 0.7× 100 0.2× 103 0.4× 35 0.3× 34 752
Shuai Nie China 18 256 0.4× 373 0.6× 293 0.7× 39 0.1× 58 0.5× 29 881
Jianchao Zhang China 11 215 0.3× 360 0.6× 131 0.3× 55 0.2× 60 0.5× 21 814
Zhuang Miao China 18 580 0.8× 146 0.3× 289 0.7× 42 0.2× 31 0.3× 68 983
Ahmed Al‐Ostaz United States 20 547 0.8× 491 0.8× 63 0.1× 90 0.3× 71 0.6× 82 1.2k
Mohamed Saı̈di France 18 167 0.2× 231 0.4× 972 2.3× 114 0.4× 27 0.2× 70 1.5k
J. Uruchurtu Mexico 22 1.1k 1.6× 687 1.2× 151 0.4× 34 0.1× 59 0.5× 157 1.6k
Yuchuan Du China 15 177 0.3× 356 0.6× 352 0.8× 30 0.1× 32 0.3× 35 1.0k

Countries citing papers authored by Jiale Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jiale Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiale Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Jiale Shen. A scholar is included among the top collaborators of Jiale Shen 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 Jiale Shen. Jiale Shen 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.
Yan, Yuhan, Liurong Huang, Jiale Shen, Yu Chen, & Ronghai He. (2025). The impact of ultrasound synergized with salt on the structure and loading characteristics of whey protein isolate-chitosan complexes. International Journal of Biological Macromolecules. 307(Pt 1). 141769–141769. 1 indexed citations
2.
Shen, Jiale, et al.. (2025). New insights on the action mechanisms of anhydrite on autogenous shrinkage and mechanical properties of clinkerless Ultra-high performance concrete. Construction and Building Materials. 486. 141949–141949. 2 indexed citations
3.
Wang, Hui, et al.. (2025). Optimizing quaternary chemical additives and steel fiber dispersion in CSA cement based HPC for rapid repair engineering. Construction and Building Materials. 489. 142265–142265. 6 indexed citations
4.
5.
Lin, Hui, Jianhang Hu, Tae Kwon Song, Yue Li, & Jiale Shen. (2025). Performance optimization of alkali-activated low-calcium fly ash geopolymers: Experimental study and machine learning modeling. Journal of Building Engineering. 113. 114066–114066.
6.
Li, Yue, Tae Kwon Song, Hui Lin, & Jiale Shen. (2025). Ambient-temperature properties and mechanistic insights of calcium oxalate-modified low-calcium fly ash geopolymer: Eliminating the need for high-temperature activation. Case Studies in Construction Materials. 22. e04477–e04477. 3 indexed citations
7.
Shen, Jiale, Qiang Zhang, & Zhaoguang Wang. (2024). Conjugate study on heat transfer enhancement of a TPMS-based hybrid heat sink design. Applied Thermal Engineering. 257. 124350–124350. 5 indexed citations
8.
Li, Yue, Jiale Shen, Hui Lin, & Yaqiang Li. (2024). The autogenous shrinkage mitigation mechanism and mechanical properties of Alkali-activated High Strength Mortar (AAHSM) incorporating hydroxypropyl methylcellulose (HPMC). Construction and Building Materials. 442. 137708–137708. 9 indexed citations
9.
Fan, Mengtian, et al.. (2024). Multi-objective optimization design of recycled aggregate concrete mixture proportions based on machine learning and NSGA-II algorithm. Advances in Engineering Software. 192. 103631–103631. 34 indexed citations
10.
Yang, Bin, et al.. (2024). Effect of glass powder on mechanical properties and electromagnetic transmission properties of high alumina cement paste. Journal of Building Engineering. 88. 109156–109156. 1 indexed citations
12.
Shen, Jiale, Yue Li, Hui Lin, & Jianglin Liu. (2024). The experimental study on microwave-assisted preparation of Ultra-High Performance Geopolymer Concrete (UHPGC). Construction and Building Materials. 414. 134934–134934. 10 indexed citations
13.
Li, Yue, et al.. (2024). Prediction of the Sulfate Attack Resistance of Concrete Based on Machine-Learning Algorithms. Journal of Computing in Civil Engineering. 38(6). 2 indexed citations
14.
15.
Liu, Jianglin, et al.. (2023). Mechanism study on the effect of diammonium hydrogen phosphate on the setting time and micro-nanostructure of ordinary Portland cement paste. Construction and Building Materials. 407. 133616–133616. 7 indexed citations
16.
Li, Yue, et al.. (2023). Research on discrete element simulation of slump test for fresh self-compacting concrete. Journal of Building Engineering. 70. 106464–106464. 12 indexed citations
17.
Luo, Xiao, Yue Li, Hui Lin, et al.. (2023). Research on predicting compressive strength of magnesium silicate hydrate cement based on machine learning. Construction and Building Materials. 406. 133412–133412. 16 indexed citations
18.
Shen, Jiale, et al.. (2023). The data-driven research on the autogenous shrinkage of ultra-high performance concrete (UHPC) based on machine learning. Journal of Building Engineering. 82. 108373–108373. 21 indexed citations
19.
Luo, Xiao, et al.. (2023). Effect of curing regimes on strength of magnesium silicate hydrate cement. Journal of Materials Research and Technology. 26. 7534–7546. 6 indexed citations
20.
Shen, Jiale, et al.. (2023). Development of autogenous shrinkage prediction model of alkali-activated slag-fly ash geopolymer based on machine learning. Journal of Building Engineering. 71. 106538–106538. 26 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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