Hailong Ye

6.8k total citations · 2 hit papers
164 papers, 5.5k citations indexed

About

Hailong Ye is a scholar working on Civil and Structural Engineering, Materials Chemistry and Building and Construction. According to data from OpenAlex, Hailong Ye has authored 164 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Civil and Structural Engineering, 74 papers in Materials Chemistry and 34 papers in Building and Construction. Recurrent topics in Hailong Ye's work include Concrete and Cement Materials Research (116 papers), Concrete Corrosion and Durability (62 papers) and Innovative concrete reinforcement materials (46 papers). Hailong Ye is often cited by papers focused on Concrete and Cement Materials Research (116 papers), Concrete Corrosion and Durability (62 papers) and Innovative concrete reinforcement materials (46 papers). Hailong Ye collaborates with scholars based in Hong Kong, China and United States. Hailong Ye's co-authors include Aleksandra Radlińska, Chuanqing Fu, Nanguo Jin, Xianyu Jin, Le Huang, Rongjin Cai, Zhijian Chen, Zushi Tian, Christopher Cartwright and Farshad Rajabipour and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Cement and Concrete Research.

In The Last Decade

Hailong Ye

153 papers receiving 5.4k citations

Hit Papers

Shrinkage mechanisms of alkali-activated slag 2016 2026 2019 2022 2016 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hailong Ye Hong Kong 41 5.2k 2.2k 1.6k 421 198 164 5.5k
Shamsad Ahmad Saudi Arabia 33 3.6k 0.7× 1.2k 0.6× 1.6k 1.0× 371 0.9× 232 1.2× 147 4.2k
Mohammad Shekarchi Iran 38 4.5k 0.9× 1.0k 0.5× 1.8k 1.2× 452 1.1× 161 0.8× 110 5.0k
Shiho Kawashima United States 36 4.2k 0.8× 1.3k 0.6× 2.7k 1.7× 254 0.6× 179 0.9× 81 5.2k
Prannoy Suraneni United States 36 3.4k 0.7× 1.2k 0.5× 1.6k 1.0× 288 0.7× 169 0.9× 124 4.0k
Arnaud Castel Australia 53 8.1k 1.6× 3.2k 1.4× 3.4k 2.2× 561 1.3× 242 1.2× 209 8.5k
Hongjian Du Singapore 33 3.7k 0.7× 1.1k 0.5× 2.1k 1.3× 549 1.3× 146 0.7× 103 4.6k
Farshad Rajabipour United States 33 3.9k 0.7× 907 0.4× 1.4k 0.9× 298 0.7× 159 0.8× 85 4.3k
Vute Sirivivatnanon Australia 23 3.9k 0.8× 1.3k 0.6× 1.6k 1.0× 206 0.5× 157 0.8× 71 4.2k
Ditao Niu China 44 5.0k 1.0× 1.0k 0.5× 2.2k 1.4× 381 0.9× 198 1.0× 234 5.4k
Wei Sun China 47 6.3k 1.2× 1.8k 0.8× 2.1k 1.4× 481 1.1× 323 1.6× 122 6.9k

Countries citing papers authored by Hailong Ye

Since Specialization
Citations

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

Fields of papers citing papers by Hailong Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Hailong Ye. A scholar is included among the top collaborators of Hailong Ye 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 Hailong Ye. Hailong Ye 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.
Guo, Shenglai, et al.. (2025). Effect of retarders on setting and strength development of geopolymer activated by Na2CO3+Ca(OH)2: Properties and mechanisms. Construction and Building Materials. 467. 140382–140382. 1 indexed citations
2.
Tian, Zushi, et al.. (2025). Quantifying anisotropic chloride diffusion coefficients of interfacial transition zone in concrete. Cement and Concrete Composites. 163. 106199–106199. 1 indexed citations
4.
Kang, Xiaojuan, Zushi Tian, Clarence Edward Choi, & Hailong Ye. (2025). Reaction mechanisms of one-part and two-part slag-based binders activated by sodium carbonate and lime. Cement and Concrete Composites. 159. 105992–105992. 9 indexed citations
5.
Tian, Ye, Yu Liu, Yan Xie, et al.. (2025). Coupled effects of chlorides and sulfates on steel reinforcement corrosion in concrete structures: A comprehensive review. Case Studies in Construction Materials. 22. e04263–e04263. 6 indexed citations
6.
Zhang, Yong, Xiaohong Zhu, Yuying Zhang, et al.. (2025). Enhancing interface adhesion of 3D printable concrete by biochar integration. Cement and Concrete Composites. 166. 106383–106383.
7.
Shi, Zheming, et al.. (2025). Assessing long-term cold-water reinjection impacts on the Wentang geothermal reservoir of Jiangxi, China. Journal of Hydrology. 663. 134222–134222.
8.
Lin, Hongwei, Song Han, Bing Han, et al.. (2024). Development of mechanical properties of concrete in vacuum tunnel of vacuum-based maglev train. Construction and Building Materials. 445. 137928–137928. 4 indexed citations
9.
Liu, Jin-Cheng, et al.. (2024). Machine learning guided iterative mix design of geopolymer concrete. Journal of Building Engineering. 91. 109710–109710. 13 indexed citations
10.
Sha, Shengnan, et al.. (2024). On the action mechanism of phosphate-based superplasticizers in one-part alkali-activated slag. Cement and Concrete Research. 186. 107659–107659. 8 indexed citations
11.
Tian, Ye, et al.. (2024). Transfer learning enables prediction of steel corrosion in concrete under natural environments. Cement and Concrete Composites. 148. 105488–105488. 29 indexed citations
12.
Liu, Jin-Cheng, et al.. (2024). Optimization of alkali-activated binder reactive powder concrete based on concept of packing density. Powder Technology. 440. 119778–119778. 9 indexed citations
13.
Kang, Xiaojuan & Hailong Ye. (2024). Geopolymers functionalised by antibacterial zeolite against biocorrosion. Cement and Concrete Composites. 150. 105569–105569. 3 indexed citations
14.
Fu, Chuanqing, et al.. (2024). Intrinsic self-sensing piezoresistive behaviors of ultra-high strength alkali-activated concrete. Journal of Building Engineering. 96. 110644–110644. 4 indexed citations
15.
Fu, Chuanqing, et al.. (2024). Synergistic effects of metakaolin and dolomite on alkali-activated slag exposed to chloride and sulfate solutions. Construction and Building Materials. 420. 135590–135590. 9 indexed citations
16.
Tian, Zushi, et al.. (2023). Relationship of electrical resistivity and corrosion rate in alkali-activated mortars with varying alkalinity and nitrite inhibitor. Construction and Building Materials. 409. 134211–134211. 4 indexed citations
17.
Ye, Hailong, et al.. (2023). Machine learning prediction of corrosion rate of steel in carbonated cementitious mortars. Cement and Concrete Composites. 143. 105256–105256. 33 indexed citations
18.
Zhi, Xudong, et al.. (2023). Effect of retarders on the properties of ultra-high strength alkali-activated concrete. Construction and Building Materials. 411. 134605–134605. 10 indexed citations
19.
Hossain, Md. Uzzal, et al.. (2021). Designing sustainable concrete mixes with potentially alternative binder systems: Multicriteria decision making process. Journal of Building Engineering. 45. 103587–103587. 35 indexed citations
20.
He, Rui, Hailong Ye, Hongyan Ma, et al.. (2019). Correlating the Chloride Diffusion Coefficient and Pore Structure of Cement-Based Materials Using Modified Noncontact Electrical Resistivity Measurement. Journal of Materials in Civil Engineering. 31(3). 57 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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