Te Xiao

2.3k total citations
58 papers, 1.8k citations indexed

About

Te Xiao is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Management, Monitoring, Policy and Law. According to data from OpenAlex, Te Xiao has authored 58 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Civil and Structural Engineering, 31 papers in Safety, Risk, Reliability and Quality and 25 papers in Management, Monitoring, Policy and Law. Recurrent topics in Te Xiao's work include Geotechnical Engineering and Analysis (31 papers), Landslides and related hazards (25 papers) and Flood Risk Assessment and Management (12 papers). Te Xiao is often cited by papers focused on Geotechnical Engineering and Analysis (31 papers), Landslides and related hazards (25 papers) and Flood Risk Assessment and Management (12 papers). Te Xiao collaborates with scholars based in China, Hong Kong and Singapore. Te Xiao's co-authors include Limin Zhang, Dianqing Li, Zi-Jun Cao, Jian He, Chen Chen, Chuangbing Zhou, Hong Zhu, Kok‐Kwang Phoon, Haojie Wang and Dian-Qing Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Journal of Hydrology.

In The Last Decade

Te Xiao

54 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Te Xiao China 24 1.1k 880 860 286 258 58 1.8k
Ben Leshchinsky United States 28 1.9k 1.8× 1.3k 1.5× 701 0.8× 187 0.7× 131 0.5× 105 2.3k
Yat Fai Leung Hong Kong 23 789 0.7× 538 0.6× 370 0.4× 34 0.1× 55 0.2× 60 1.5k
Tien H. Wu United States 25 1.5k 1.4× 785 0.9× 710 0.8× 164 0.6× 71 0.3× 73 2.7k
Wenpei Wang China 17 570 0.5× 325 0.4× 966 1.1× 167 0.6× 326 1.3× 62 1.6k
Stavroula Fotopoulou Greece 19 924 0.9× 426 0.5× 1.2k 1.4× 605 2.1× 262 1.0× 42 1.9k
Franck Bourrier France 23 479 0.5× 333 0.4× 1.1k 1.3× 317 1.1× 206 0.8× 76 1.6k
Suzanne Lacasse Norway 18 1.4k 1.3× 840 1.0× 1.4k 1.7× 537 1.9× 318 1.2× 65 2.6k
Michele Calvello Italy 26 1.0k 1.0× 812 0.9× 1.5k 1.8× 681 2.4× 584 2.3× 67 2.3k
Robin Chowdhury Australia 15 668 0.6× 940 1.1× 1.6k 1.9× 762 2.7× 309 1.2× 66 2.0k
Dong Wang China 31 2.1k 2.0× 442 0.5× 569 0.7× 77 0.3× 111 0.4× 165 3.0k

Countries citing papers authored by Te Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Te Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Te Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Te Xiao. A scholar is included among the top collaborators of Te Xiao 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 Te Xiao. Te Xiao 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.
Zhao, Zening, Limin Zhang, Haifeng Zou, et al.. (2025). Three-Dimensional Geological Modeling with Multisource Data Fusion. Journal of Geotechnical and Geoenvironmental Engineering. 152(1).
2.
Wang, Lizhong, Xinhai Zhang, Yi Hong, et al.. (2025). Efficient 3D geological modeling for offshore wind farm with sparse CPTU and borehole data. Canadian Geotechnical Journal. 62. 1–23. 1 indexed citations
3.
Zhang, Lulu, et al.. (2025). An equivalent state method for submarine spread modeling subject to hydrate dissociation. Engineering Geology. 352. 108070–108070. 2 indexed citations
4.
Zhang, Shuai, et al.. (2025). Assessment of regional damming probability caused by post-earthquake rainfall-induced cascading hazards. Engineering Geology. 361. 108500–108500.
5.
Xiao, Te, et al.. (2025). A simulation-enabled slope digital twin for real-time assessment of rain-induced landslides. Engineering Geology. 353. 108116–108116. 4 indexed citations
6.
Mu, Qingyi, Tianqi Song, Lu Zhao, Te Xiao, & Limin Zhang. (2024). Evaluation of the collapse susceptibility of loess using machine learning. Transportation Geotechnics. 48. 101327–101327. 5 indexed citations
7.
Leung, Yat Fai, Kok‐Kwang Phoon, Te Xiao, Takayuki Shuku, & Jianye Ching. (2024). Report for ISSMGE TC309/TC304/TC222 and ASCE Geo-Institute Risk Assessment and Management Committee Fourth Machine Learning in Geotechnics Dialogue on “Machine Learning Supremacy Projects”. Georisk Assessment and Management of Risk for Engineered Systems and Geohazards. 18(1). 304–313. 5 indexed citations
8.
Zhang, Shuai, Yanbo Chen, Dalei Peng, et al.. (2024). Probabilistic framework for quantifying human flight failure rate to landslides. Engineering Geology. 341. 107723–107723. 2 indexed citations
9.
Yin, K.S., Te Xiao, Hongyu Luo, Haifeng Zou, & Limin Zhang. (2023). Probabilistic modeling of offshore deep cement mixing improved ground. Computers and Geotechnics. 156. 105266–105266. 16 indexed citations
10.
He, Jian, Limin Zhang, Te Xiao, Haojie Wang, & Hongyu Luo. (2023). Prompt Quantitative Risk Assessment for Rain-Induced Landslides. Journal of Geotechnical and Geoenvironmental Engineering. 149(5). 13 indexed citations
11.
Zhang, Limin, et al.. (2023). Prediction of Landslide Dam Formation Using Machine Learning Techniques. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 9. 41–48. 2 indexed citations
12.
Xiao, Te, et al.. (2022). Inter-specific root interactions and water use efficiency of maize/soybean relay strip intercropping. Field Crops Research. 291. 108793–108793. 34 indexed citations
13.
He, Jian, Limin Zhang, Te Xiao, & Chen Chen. (2022). Emergency risk management for landslide dam breaks in 2018 on the Yangtze River, China. SHILAP Revista de lepidopterología. 1(3). 1–11. 8 indexed citations
14.
Xiao, Te, et al.. (2022). Predicting landslide runout paths using terrain matching-targeted machine learning. Engineering Geology. 311. 106902–106902. 24 indexed citations
15.
17.
Zhang, Limin, Te Xiao, Jian He, & Chen Chen. (2019). Erosion-based analysis of breaching of Baige landslide dams on the Jinsha River, China, in 2018. Landslides. 16(10). 1965–1979. 150 indexed citations
18.
Li, Dianqing, Te Xiao, Limin Zhang, & Zi-Jun Cao. (2018). Stepwise covariance matrix decomposition for efficient simulation of multivariate large-scale three-dimensional random fields. Applied Mathematical Modelling. 68. 169–181. 71 indexed citations
19.
Li, Dianqing, Te Xiao, Zi-Jun Cao, Kok‐Kwang Phoon, & Chuangbing Zhou. (2015). Efficient and consistent reliability analysis of soil slope stability using both limit equilibrium analysis and finite element analysis. Applied Mathematical Modelling. 40(9-10). 5216–5229. 90 indexed citations
20.
Xiao, Te. (2014). Non-intrusive Reliability Analysis of Multi-layered Slopes Using Strength Reduction FEM. Yingyong jichu yu gongcheng kexue xuebao. 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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