Ting Xiao

924 total citations · 2 hit papers
25 papers, 667 citations indexed

About

Ting Xiao is a scholar working on Management, Monitoring, Policy and Law, Civil and Structural Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Ting Xiao has authored 25 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Management, Monitoring, Policy and Law, 9 papers in Civil and Structural Engineering and 7 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Ting Xiao's work include Landslides and related hazards (20 papers), Dam Engineering and Safety (7 papers) and Geotechnical Engineering and Analysis (7 papers). Ting Xiao is often cited by papers focused on Landslides and related hazards (20 papers), Dam Engineering and Safety (7 papers) and Geotechnical Engineering and Analysis (7 papers). Ting Xiao collaborates with scholars based in China, Italy and United States. Ting Xiao's co-authors include Luqi Wang, Kunlong Yin, Nicola Casagli, Samuele Segoni, Lixia Chen, Beibei Yang, Wengang Zhang, Songlin Liu, Lichuan Chen and Zhenwei Dai and has published in prestigious journals such as Construction and Building Materials, Sensors and American Journal of Roentgenology.

In The Last Decade

Ting Xiao

23 papers receiving 650 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.

A physics-informed data-driven model for landslide susceptibility assessment in the Three Gorges Reservoir area

2023 87 citations Songlin Liu, Luqi Wang et al. Geoscience Frontiers profile →
Quantification of model uncertainty and variability for landslide displacement prediction based on Monte Carlo simulation

2023 76 citations Luqi Wang, Ting Xiao et al. Gondwana Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ting Xiao China	14	531	236	190	182	179	25	667
Yuanyao Li China	9	609 1.1×	252 1.1×	201 1.1×	184 1.0×	142 0.8×	19	664
Hongyu Luo Hong Kong	14	590 1.1×	326 1.4×	256 1.3×	185 1.0×	181 1.0×	27	833
Yiding Bao China	17	592 1.1×	180 0.8×	268 1.4×	258 1.4×	165 0.9×	38	770
Zhenlei Wei China	12	417 0.8×	162 0.7×	218 1.1×	108 0.6×	149 0.8×	30	542
Kunlong Yin China	12	460 0.9×	167 0.7×	148 0.8×	189 1.0×	96 0.5×	29	556
Yueren Xu China	14	400 0.8×	210 0.9×	99 0.5×	180 1.0×	73 0.4×	35	662
Taorui Zeng China	14	444 0.8×	246 1.0×	119 0.6×	153 0.8×	103 0.6×	36	548
Jianping Qiao China	12	594 1.1×	238 1.0×	196 1.0×	191 1.0×	166 0.9×	49	695
Zhihua Yang China	15	805 1.5×	300 1.3×	174 0.9×	341 1.9×	266 1.5×	45	928

Countries citing papers authored by Ting Xiao

Since Specialization

Citations

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

Fields of papers citing papers by Ting Xiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Xiao

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

All Works

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20 of 20 papers shown

Lyshchik, Andrej, Ting Xiao, Annalisa Berzigotti, et al.. (2025). Using Machine Learning to Improve the Contrast-Enhanced Ultrasound Liver Imaging Reporting and Data System Diagnosis of Hepatocellular Carcinoma in Indeterminate Liver Nodules. Ultrasound in Medicine & Biology. 51(11). 1953–1960.

Xiao, Ting, et al.. (2025). Uncertainty-aware ensemble learning and dynamic threshold optimization for landslide susceptibility mapping. Computers & Geosciences. 206. 106042–106042. 1 indexed citations

Liang, Xin, Samuele Segoni, Kunlong Yin, et al.. (2025). Integration of effective antecedent rainfall to improve the performance of rainfall thresholds for landslide early warning in Wanzhou District, China. International Journal of Disaster Risk Reduction. 119. 105317–105317. 6 indexed citations

Liu, Leilei, et al.. (2024). Ensemble learning for landslide displacement prediction: A perspective of Bayesian optimization and comparison of different time series analysis methods. Stochastic Environmental Research and Risk Assessment. 38(8). 3031–3058. 3 indexed citations

Liu, Xiaodong, et al.. (2024). Comparative study of sampling strategies for machine learning-based landslide susceptibility assessment. Stochastic Environmental Research and Risk Assessment. 38(12). 4935–4957. 4 indexed citations

Piscaglia, Fabio, Yuko Kono, Stephanie R. Wilson, et al.. (2024). Clinical impact of contrast-enhanced ultrasound on indeterminate or non-characterizable liver nodules on CT/MRI: sub-analysis from a prospective multicenter trial. Digestive and Liver Disease. 56. S2–S3. 2 indexed citations

Xiao, Ting, et al.. (2023). Analytical model for reinforcement effect and load transfer of pre-stressed anchor cable with bore deviation. Construction and Building Materials. 379. 131219–131219. 44 indexed citations

Wang, Luqi, Ting Xiao, Songlin Liu, et al.. (2023). Quantification of model uncertainty and variability for landslide displacement prediction based on Monte Carlo simulation. Gondwana Research. 123. 27–40. 76 indexed citations breakdown →

Yang, Beibei, Zhongqiang Liu, Suzanne Lacasse, Luqi Wang, & Ting Xiao. (2023). Deformation triggers and stability evolution of landslide from multiple observations. Frontiers in Ecology and Evolution. 11. 1 indexed citations

10.

Liu, Leilei, et al.. (2023). Dynamic prediction of landslide life expectancy using ensemble system incorporating classical prediction models and machine learning. Geoscience Frontiers. 15(2). 101758–101758. 19 indexed citations

11.

Liu, Songlin, Luqi Wang, Wengang Zhang, et al.. (2023). A physics-informed data-driven model for landslide susceptibility assessment in the Three Gorges Reservoir area. Geoscience Frontiers. 14(5). 101621–101621. 87 indexed citations breakdown →

12.

Yang, Beibei, Ting Xiao, Luqi Wang, & Wei Huang. (2022). Using Complementary Ensemble Empirical Mode Decomposition and Gated Recurrent Unit to Predict Landslide Displacements in Dam Reservoir. Sensors. 22(4). 1320–1320. 15 indexed citations

13.

Deng, Yunkai, Weiming Tian, Ting Xiao, Cheng Hu, & Hong Yang. (2021). High-Quality Pixel Selection Applied for Natural Scenes in GB-SAR Interferometry. Remote Sensing. 13(9). 1617–1617. 10 indexed citations

14.

Xiao, Ting, et al.. (2021). Reducing Local Correlations Among Causal Factor Classifications as a Strategy to Improve Landslide Susceptibility Mapping. Frontiers in Earth Science. 9. 20 indexed citations

15.

Xiao, Ting, et al.. (2021). Long-Term and Emergency Monitoring of Zhongbao Landslide Using Space-Borne and Ground-Based InSAR. Remote Sensing. 13(8). 1578–1578. 18 indexed citations

16.

Segoni, Samuele, et al.. (2020). Different Approaches to Use Morphometric Attributes in Landslide Susceptibility Mapping Based on Meso-Scale Spatial Units: A Case Study in Rio de Janeiro (Brazil). Remote Sensing. 12(11). 1826–1826. 41 indexed citations

17.

Xiao, Ting, Samuele Segoni, Lixia Chen, Kunlong Yin, & Nicola Casagli. (2019). A step beyond landslide susceptibility maps: a simple method to investigate and explain the different outcomes obtained by different approaches. Landslides. 17(3). 627–640. 87 indexed citations

18.

Xiao, Ting, et al.. (2019). Spatial prediction of landslide susceptibility using GIS-based statistical and machine learning models in Wanzhou County, Three Gorges Reservoir, China. Acta Geochimica. 38(5). 654–669. 90 indexed citations

19.

Yang, Beibei, Kunlong Yin, Ting Xiao, Lixia Chen, & Juan Du. (2017). Annual variation of landslide stability under the effect of water level fluctuation and rainfall in the Three Gorges Reservoir, China. Environmental Earth Sciences. 76(16). 53 indexed citations

20.

Xiao, Ting, et al.. (2016). Application of ultrasound in diagnosis of female stress urinary incontinence by measuring area of levator hiatus. 32(9). 1422. 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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