Peixi Yang

759 total citations · 1 hit paper
11 papers, 550 citations indexed

About

Peixi Yang is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Ocean Engineering. According to data from OpenAlex, Peixi Yang has authored 11 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Civil and Structural Engineering, 5 papers in Mechanics of Materials and 4 papers in Ocean Engineering. Recurrent topics in Peixi Yang's work include Rock Mechanics and Modeling (5 papers), Tunneling and Rock Mechanics (4 papers) and Drilling and Well Engineering (3 papers). Peixi Yang is often cited by papers focused on Rock Mechanics and Modeling (5 papers), Tunneling and Rock Mechanics (4 papers) and Drilling and Well Engineering (3 papers). Peixi Yang collaborates with scholars based in China, Australia and France. Peixi Yang's co-authors include Jian Zhou, Yingui Qiu, Manoj Khandelwal, Chuanqi Li, Haitao Yang, Masoud Monjezi, Yong Dai, Pingan Peng, Weixun Yong and Shuai Huang and has published in prestigious journals such as Construction and Building Materials, Materials and Applied Sciences.

In The Last Decade

Peixi Yang

11 papers receiving 534 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration

2021 335 citations Yingui Qiu, Jian Zhou et al. Engineering With Computers profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peixi Yang China	9	209	185	159	84	77	11	550
Reza Asheghi Iran	8	130 0.6×	119 0.6×	73 0.5×	59 0.7×	55 0.7×	10	434
Saeid R. Dindarloo United States	14	190 0.9×	143 0.8×	169 1.1×	125 1.5×	67 0.9×	19	529
Wan Amizah Wan Jusoh Malaysia	7	318 1.5×	118 0.6×	121 0.8×	167 2.0×	45 0.6×	17	613
Bishwajit Roy India	14	270 1.3×	134 0.7×	129 0.8×	86 1.0×	77 1.0×	21	657
Biao He China	12	184 0.9×	82 0.4×	76 0.5×	66 0.8×	40 0.5×	32	475
Huaiwei Ren China	7	132 0.6×	268 1.4×	168 1.1×	90 1.1×	157 2.0×	16	620
Mahdi Shadabfar China	16	551 2.6×	186 1.0×	160 1.0×	116 1.4×	180 2.3×	35	796
Behnam Yazdani Bejarbaneh Malaysia	10	324 1.6×	257 1.4×	148 0.9×	94 1.1×	192 2.5×	12	538
Clement Kweku Arthur Ghana	9	119 0.6×	108 0.6×	106 0.7×	46 0.5×	37 0.5×	14	324
Debi Prasad Tripathy India	12	126 0.6×	85 0.5×	98 0.6×	107 1.3×	164 2.1×	53	619

Countries citing papers authored by Peixi Yang

Since Specialization

Citations

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

Fields of papers citing papers by Peixi Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peixi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Peixi Yang. A scholar is included among the top collaborators of Peixi Yang 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 Peixi Yang. Peixi Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Yang, Peixi, et al.. (2025). Ground Settlement Prediction in Urban Tunnelling: Leveraging Metaheuristic-Optimized Random Forest Models. Arabian Journal for Science and Engineering. 50(20). 17025–17044. 1 indexed citations

2.

Armaghani, Danial Jahed, et al.. (2024). Toward Precise Long-Term Rockburst Forecasting: A Fusion of SVM and Cutting-Edge Meta-heuristic Algorithms. Natural Resources Research. 33(5). 2037–2062. 15 indexed citations

3.

Zhang, Yulin, Jian Zhou, Yingui Qiu, et al.. (2024). A Visual Survey of Tunnel Boring Machine (TBM) Performance in Tunneling Excavation: Mainstream Direction, Brief Review and Future Prospects. Applied Sciences. 14(11). 4512–4512. 9 indexed citations

4.

Yang, Peixi, et al.. (2024). Rolling bearing fault diagnosis based on multiple wavelet coefficient dimensionality reduction and improved residual network. Engineering Applications of Artificial Intelligence. 133. 108087–108087. 18 indexed citations

5.

Zhou, Jian, Peixi Yang, Weixun Yong, Manoj Khandelwal, & Shuai Huang. (2024). A comparative analysis of hybrid RF models for efficient lithology prediction in hard rock tunneling using TBM working parameters. Acta Geophysica. 72(3). 1847–1866. 8 indexed citations

6.

Zhou, Jian, Peixi Yang, Chuanqi Li, & Kun Du. (2023). Hybrid random forest-based models for predicting shear strength of structural surfaces based on surface morphology parameters and metaheuristic algorithms. Construction and Building Materials. 409. 133911–133911. 14 indexed citations

7.

Zhou, Jian, Peixi Yang, Pingan Peng, Manoj Khandelwal, & Yingui Qiu. (2023). Performance Evaluation of Rockburst Prediction Based on PSO-SVM, HHO-SVM, and MFO-SVM Hybrid Models. Mining Metallurgy & Exploration. 33 indexed citations

8.

Yang, Peixi, Weixun Yong, Chuanqi Li, et al.. (2023). Hybrid Random Forest-Based Models for Earth Pressure Balance Tunneling-Induced Ground Settlement Prediction. Applied Sciences. 13(4). 2574–2574. 29 indexed citations

9.

Yang, Peixi, Chuanqi Li, Yingui Qiu, Shuai Huang, & Jian Zhou. (2023). Metaheuristic Optimization of Random Forest for Predicting Punch Shear Strength of FRP-Reinforced Concrete Beams. Materials. 16(11). 4034–4034. 19 indexed citations

10.

Dai, Yong, Manoj Khandelwal, Yingui Qiu, et al.. (2022). A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting. Neural Computing and Applications. 34(8). 6273–6288. 69 indexed citations

11.

Qiu, Yingui, Jian Zhou, Manoj Khandelwal, et al.. (2021). Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration. Engineering With Computers. 38(S5). 4145–4162. 335 indexed citations breakdown →

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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