Zhilu Chang

1.6k total citations · 5 hit papers
26 papers, 1.2k citations indexed

About

Zhilu Chang 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, Zhilu Chang has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Management, Monitoring, Policy and Law, 12 papers in Civil and Structural Engineering and 9 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Zhilu Chang's work include Landslides and related hazards (23 papers), Geotechnical Engineering and Analysis (9 papers) and Dam Engineering and Safety (7 papers). Zhilu Chang is often cited by papers focused on Landslides and related hazards (23 papers), Geotechnical Engineering and Analysis (9 papers) and Dam Engineering and Safety (7 papers). Zhilu Chang collaborates with scholars based in China, Australia and Italy. Zhilu Chang's co-authors include Faming Huang, Jinsong Huang, Shui‐Hua Jiang, Jiawu Chen, Filippo Catani, Wenbin Li, Sansar Raj Meena, Zizheng Guo, Chuangbing Zhou and Fan Zhang and has published in prestigious journals such as Scientific Reports, Earth-Science Reviews and Remote Sensing.

In The Last Decade

Zhilu Chang

24 papers receiving 1.1k citations

Hit Papers

Landslide Susceptibility Prediction Based on Remote Sensi... 2020 2026 2022 2024 2020 2022 2023 2023 2024 50 100 150 200
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.

  1. Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models
    2020 221 citations Zhilu Chang, Fan Zhang et al. Remote Sensing profile →
  2. Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors
    2022 134 citations Zhilu Chang, Filippo Catani et al. profile →
  3. Slope stability prediction based on a long short-term memory neural network: comparisons with convolutional neural networks, support vector machines and random forest models
    2023 87 citations Faming Huang, Shixuan Chen et al. International Journal of Coal Science & Technology profile →
  4. Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning models
    2023 80 citations Zhilu Chang, Jinsong Huang et al. Gondwana Research profile →
  5. Modelling landslide susceptibility prediction: A review and construction of semi-supervised imbalanced theory
    2024 69 citations Faming Huang, Shui‐Hua Jiang et al. Earth-Science Reviews profile →

Peers

Zhilu Chang
Langping Li China
Maria Ferentinou South Africa
Zhihua Yang China
Melanie Froude United Kingdom
R. Anbalagan India
Dalei Peng China
Xiewen Hu China
Stavroula Fotopoulou Greece
Langping Li China
Zhilu Chang
Citations per year, relative to Zhilu Chang Zhilu Chang (= 1×) peers Langping Li

Countries citing papers authored by Zhilu Chang

Since Specialization
Citations

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

Fields of papers citing papers by Zhilu Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhilu Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhilu Chang. A scholar is included among the top collaborators of Zhilu Chang 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 Zhilu Chang. Zhilu Chang 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.
Huang, Faming, Yang Yang, Jie Tao, et al.. (2025). A fine evaluation of population density at slope scale in mountainous areas considering the spatial variation of environmental factors. Georisk Assessment and Management of Risk for Engineered Systems and Geohazards. 1–28.
2.
3.
Chang, Zhilu, Shui‐Hua Jiang, Faming Huang, et al.. (2025). Prediction of overburden layer thickness based on spatial heterogeneity analysis and machine learning models in hillslope regions. Geoscience Frontiers. 16(5). 102109–102109.
4.
Huang, Faming, Zhilu Chang, Chuangbing Zhou, et al.. (2025). Effects of different division methods of landslide susceptibility levels on regional landslide susceptibility mapping. Bulletin of Engineering Geology and the Environment. 84(6). 3 indexed citations
5.
Huang, Faming, Shui‐Hua Jiang, Chi Yao, et al.. (2024). Modelling landslide susceptibility prediction: A review and construction of semi-supervised imbalanced theory. Earth-Science Reviews. 250. 104700–104700. 69 indexed citations breakdown →
6.
Huang, Faming, Shui‐Hua Jiang, Chuangbing Zhou, et al.. (2024). Uncertainties in landslide susceptibility prediction modeling: A review on the incompleteness of landslide inventory and its influence rules. Geoscience Frontiers. 15(6). 101886–101886. 28 indexed citations
7.
Huang, Faming, Zhiyong Li, Xiaoting Zhou, et al.. (2024). Single landslide risk assessment considering rainfall‐induced landslide hazard and the vulnerability of disaster‐bearing body. Geological Journal. 59(9). 2549–2565. 11 indexed citations
8.
Liu, Yuting, Giordano Teza, Lorenzo Nava, et al.. (2024). Deformation evaluation and displacement forecasting of baishuihe landslide after stabilization based on continuous wavelet transform and deep learning. Natural Hazards. 120(11). 9649–9673. 5 indexed citations
9.
Chang, Zhilu, Jinsong Huang, Faming Huang, et al.. (2023). Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning models. Gondwana Research. 117. 307–320. 80 indexed citations breakdown →
10.
Huang, Faming, Shui‐Hua Jiang, Yijing Li, et al.. (2023). Uncertainties in Landslide Susceptibility Prediction Modeling: A Review on the Incompleteness of Landslide Inventory and its Influence Rules. SSRN Electronic Journal. 3 indexed citations
11.
Huang, Faming, Shixuan Chen, Zhitao Lv, et al.. (2023). Slope stability prediction based on a long short-term memory neural network: comparisons with convolutional neural networks, support vector machines and random forest models. International Journal of Coal Science & Technology. 10(1). 87 indexed citations breakdown →
12.
Chang, Zhilu, Faming Huang, Jinsong Huang, et al.. (2023). An updating of landslide susceptibility prediction from the perspective of space and time. Geoscience Frontiers. 14(5). 101619–101619. 56 indexed citations
13.
Huang, Faming, Ye Zhou, Shui‐Hua Jiang, et al.. (2021). Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models. CATENA. 202. 105250–105250. 103 indexed citations
14.
Li, Wenbin, Xuanmei Fan, Faming Huang, et al.. (2021). 不同环境因子联接和预测模型的滑坡易发性建模不确定性. Earth Science-Journal of China University of Geosciences. 46(10). 3777–3777. 20 indexed citations
15.
Huang, Faming, Zhilu Chang, Jinsong Huang, et al.. (2021). Efficient and automatic extraction of slope units based on multi-scale segmentation method for landslide assessments. Landslides. 18(11). 3715–3731. 94 indexed citations
16.
Chang, Zhilu, Fan Zhang, Faming Huang, et al.. (2020). Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models. Remote Sensing. 12(3). 502–502. 221 indexed citations breakdown →
17.
Chang, Zhilu, et al.. (2020). Study on the creep behaviours and the improved Burgers model of a loess landslide considering matric suction. Natural Hazards. 103(1). 1479–1497. 40 indexed citations
18.
Chang, Zhilu, Faming Huang, Jinsong Huang, et al.. (2020). Experimental study of the failure mode and mechanism of loess fill slopes induced by rainfall. Engineering Geology. 280. 105941–105941. 76 indexed citations
19.
Zhang, Shuo, et al.. (2019). Model Test on Seepage Characteristics and Deformation Failure Modes of Loess Fill Slope Under Rainfall. Zhongguo gonglu xuebao. 32(9). 32. 5 indexed citations
20.
Li, Yuanyao, Jinsong Huang, Shui‐Hua Jiang, Faming Huang, & Zhilu Chang. (2017). A web-based GPS system for displacement monitoring and failure mechanism analysis of reservoir landslide. Scientific Reports. 7(1). 17171–17171. 33 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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