Minfei Liang

1.1k total citations · 1 hit paper
31 papers, 862 citations indexed

About

Minfei Liang is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Building and Construction. According to data from OpenAlex, Minfei Liang has authored 31 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Civil and Structural Engineering, 10 papers in Mechanical Engineering and 8 papers in Building and Construction. Recurrent topics in Minfei Liang's work include Concrete and Cement Materials Research (11 papers), Innovative concrete reinforcement materials (9 papers) and Concrete Properties and Behavior (9 papers). Minfei Liang is often cited by papers focused on Concrete and Cement Materials Research (11 papers), Innovative concrete reinforcement materials (9 papers) and Concrete Properties and Behavior (9 papers). Minfei Liang collaborates with scholars based in China, Netherlands and United Kingdom. Minfei Liang's co-authors include Erik Schlangen, Branko Šavija, J.P. Li, Fengnian Xia, Zhong Yang, Yidong Gan, Ze Chang, Ya-Fang Guo, Zhi Wan and Feng He and has published in prestigious journals such as ACS Nano, Cement and Concrete Research and Construction and Building Materials.

In The Last Decade

Minfei Liang

29 papers receiving 852 citations

Hit Papers

Interpretable Ensemble-Machine-Learning models for predic... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minfei Liang China 14 439 325 279 260 192 31 862
HU Shi-sheng China 16 386 0.9× 312 1.0× 77 0.3× 513 2.0× 375 2.0× 57 970
Yue Yin China 17 602 1.4× 229 0.7× 52 0.2× 143 0.6× 328 1.7× 62 905
Yuliang Lin China 18 409 0.9× 508 1.6× 37 0.1× 455 1.8× 345 1.8× 64 1.0k
Jia Fu China 10 181 0.4× 148 0.5× 67 0.2× 134 0.5× 53 0.3× 21 391
Rui Fan China 15 510 1.2× 67 0.2× 63 0.2× 161 0.6× 127 0.7× 49 785
Bing Ma China 14 713 1.6× 129 0.4× 324 1.2× 257 1.0× 79 0.4× 36 929
Xudong Chen China 19 459 1.0× 246 0.8× 28 0.1× 102 0.4× 146 0.8× 61 764
Yanping Zhu United States 22 219 0.5× 1.8k 5.7× 176 0.6× 142 0.5× 116 0.6× 71 2.1k
Jiagui Liu China 17 437 1.0× 407 1.3× 24 0.1× 222 0.9× 178 0.9× 28 870

Countries citing papers authored by Minfei Liang

Since Specialization
Citations

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

Fields of papers citing papers by Minfei Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minfei Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Minfei Liang. A scholar is included among the top collaborators of Minfei Liang 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 Minfei Liang. Minfei Liang 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.
Liang, Minfei, Kun Feng, Shan He, et al.. (2025). Generation of cement paste microstructure using machine learning models. Developments in the Built Environment. 21. 100624–100624. 4 indexed citations
4.
Li, Zhuangzhuang, Minfei Liang, Bin Han, & Thomas Wu. (2025). Flexible and low-carbon retrofit planning for wind-solar-thermal system: a distributionally robust Lipschitz dynamic programming approach. Energy. 336. 138438–138438.
5.
Liang, Minfei, et al.. (2025). Conditional generative AI for high-fidelity synthesis of hydrating cementitious microstructures. Materials & Design. 256. 114251–114251. 1 indexed citations
6.
Cheng, Hao & Minfei Liang. (2024). Real-time monitoring of static elastic modulus evolution in hardening concrete through longitudinal-wave velocity changes retrieved by the stretching technique. Construction and Building Materials. 453. 139086–139086. 2 indexed citations
7.
Liang, Minfei, et al.. (2024). Tensile behavior of rebar-reinforced coarse aggregate ultra-high performance concrete (R-CA-UHPC) members: Experiments and restrained shrinkage creep effect. Cement and Concrete Composites. 151. 105574–105574. 4 indexed citations
8.
Liang, Minfei, et al.. (2024). Autogenous deformation-induced stress evolution in cementitious materials considering viscoelastic properties: A review of experiments and models. Developments in the Built Environment. 17. 100356–100356. 1 indexed citations
9.
Zhou, Yubao, et al.. (2023). Deep residual learning for acoustic emission source localization in A steel-concrete composite slab. Construction and Building Materials. 411. 134220–134220. 18 indexed citations
10.
Liang, Minfei, Yidong Gan, Ze Chang, et al.. (2021). Microstructure-informed deep convolutional neural network for predicting short-term creep modulus of cement paste. Cement and Concrete Research. 152. 106681–106681. 39 indexed citations
11.
Gan, Yidong, Hongzhi Zhang, Minfei Liang, et al.. (2021). A numerical study of fatigue of hardened cement paste at the microscale. International Journal of Fatigue. 151. 106401–106401. 12 indexed citations
12.
Xia, Feng, et al.. (2020). Effect of thermal exposure on microstructure and high-temperature fatigue life of Al-Si piston alloys. Journal of Materials Research and Technology. 9(6). 12926–12935. 21 indexed citations
13.
Liang, Minfei, Kun Feng, Chuan He, et al.. (2020). A meso-scale model toward concrete water permeability regarding aggregate permeability. Construction and Building Materials. 261. 120547–120547. 17 indexed citations
14.
Zhang, Rui, et al.. (2019). Cyclic response of RC composite bridge columns with precast PP-ECC jackets in the region of plastic hinges. Composite Structures. 221. 110844–110844. 48 indexed citations
15.
Gao, Peihu, et al.. (2017). Experimental assessment of interfacial contact thermal conductance between graphite and matrix in cast iron. International Journal of Cast Metals Research. 1–7. 5 indexed citations
16.
Ma, Zhijun, Dong Tao, Zhong Yang, et al.. (2016). The effect of vermicularity on the thermal conductivity of vermicular graphite cast iron. Materials & Design. 93. 418–422. 31 indexed citations
17.
Qiu, Yu, et al.. (2016). Influence of thermal exposure on microstructure evolution and tensile fracture behaviors of compacted graphite iron. Materials Science and Engineering A. 664. 75–85. 46 indexed citations
18.
Yang, Zhiyong, et al.. (2009). Effect of homogenization on the hot-deformation ability and dynamic recrystallization of Mg–9Gd–3Y–0.5Zr alloy. Materials Science and Engineering A. 515(1-2). 102–107. 25 indexed citations
19.
Yang, Zhong, et al.. (2006). Precipitation process and effect on mechanical properties of Mg–9Gd–3Y–0.6Zn–0.5Zr alloy. Materials Science and Engineering A. 454-455. 274–280. 143 indexed citations
20.
Wu, Xiaolei, P. Luo, Jann‐Tay Wang, et al.. (2005). Severe plastic deformation of magnesium alloy AZ31 at low temperatures. 29. 1 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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