Haoyuan Hong

16.3k total citations · 16 hit papers
101 papers, 13.1k citations indexed

About

Haoyuan Hong is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Atmospheric Science. According to data from OpenAlex, Haoyuan Hong has authored 101 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Global and Planetary Change, 72 papers in Management, Monitoring, Policy and Law and 35 papers in Atmospheric Science. Recurrent topics in Haoyuan Hong's work include Landslides and related hazards (71 papers), Flood Risk Assessment and Management (57 papers) and Cryospheric studies and observations (27 papers). Haoyuan Hong is often cited by papers focused on Landslides and related hazards (71 papers), Flood Risk Assessment and Management (57 papers) and Cryospheric studies and observations (27 papers). Haoyuan Hong collaborates with scholars based in China, Austria and Iran. Haoyuan Hong's co-authors include Wei Chen, Yi Wang, Biswajeet Pradhan, A‐Xing Zhu, Zhice Fang, Dieu Tien Bui, Junzhi Liu, Himan Shahabi, Chong Xu and Ling Peng and has published in prestigious journals such as The Science of The Total Environment, Journal of Hydrology and Expert Systems with Applications.

In The Last Decade

Haoyuan Hong

100 papers receiving 12.9k citations

Hit Papers

A comparative study of logistic model tree, random forest... 2015 2026 2018 2022 2016 2019 2018 2019 2019 200 400 600
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. A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility
    2016 718 citations Wei Chen, Xiaoshen Xie et al. CATENA profile →
  2. A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
    2019 545 citations Khabat Khosravi, Himan Shahabi et al. Journal of Hydrology profile →
  3. Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)
    2018 417 citations Haoyuan Hong, Junzhi Liu et al. CATENA profile →
  4. Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China
    2019 409 citations Yi Wang, Haoyuan Hong et al. The Science of The Total Environment profile →
  5. Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods
    2019 384 citations Wei Chen, Himan Shahabi et al. The Science of The Total Environment profile →
  6. Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China
    2018 376 citations Wei Chen, Jianbing Peng et al. The Science of The Total Environment profile →
  7. Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
    2015 373 citations Haoyuan Hong, Biswajeet Pradhan et al. CATENA profile →
  8. Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models
    2016 369 citations Haoyuan Hong et al. profile →
  9. Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
    2018 349 citations Haoyuan Hong, Mahdi Panahi et al. The Science of The Total Environment profile →
  10. Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China
    2017 327 citations Haoyuan Hong, Paraskevas Tsangaratos et al. The Science of The Total Environment profile →
  11. Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping
    2019 301 citations Yanli Wu, Yutian Ke et al. CATENA profile →
  12. Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping
    2020 257 citations Yi Wang, Haoyuan Hong et al. profile →
  13. Flood susceptibility mapping using convolutional neural network frameworks
    2019 241 citations Yi Wang, Haoyuan Hong et al. Journal of Hydrology profile →
  14. GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method
    2018 229 citations Wei Chen, Xiaoshen Xie et al. CATENA profile →
  15. Comparative study of landslide susceptibility mapping with different recurrent neural networks
    2020 214 citations Yi Wang, Haoyuan Hong et al. profile →
  16. Regional rainfall-induced landslide hazard warning based on landslide susceptibility mapping and a critical rainfall threshold
    2022 139 citations Haoyuan Hong, Wei Chen et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haoyuan Hong China 64 9.0k 7.4k 2.8k 2.5k 2.2k 101 13.1k
Himan Shahabi Iran 71 9.2k 1.0× 6.0k 0.8× 2.2k 0.8× 3.3k 1.3× 3.4k 1.5× 154 13.6k
Indra Prakash Vietnam 49 5.2k 0.6× 3.8k 0.5× 1.3k 0.5× 1.7k 0.7× 2.1k 0.9× 124 8.8k
Binh Thai Pham Vietnam 87 11.3k 1.3× 8.8k 1.2× 3.1k 1.1× 3.8k 1.5× 4.5k 2.0× 290 22.2k
Saro Lee South Korea 86 13.5k 1.5× 13.4k 1.8× 3.5k 1.3× 3.6k 1.4× 5.3k 2.4× 241 22.0k
Ataollah Shirzadi Iran 46 5.6k 0.6× 3.3k 0.4× 1.3k 0.5× 2.2k 0.9× 2.0k 0.9× 57 7.7k
Baharin Bin Ahmad Malaysia 47 4.3k 0.5× 3.2k 0.4× 1.1k 0.4× 1.4k 0.6× 1.8k 0.8× 84 6.9k
Hamid Reza Pourghasemi Iran 89 15.6k 1.7× 11.3k 1.5× 3.2k 1.2× 5.8k 2.3× 7.9k 3.5× 267 24.9k
A‐Xing Zhu China 59 4.2k 0.5× 3.4k 0.5× 1.7k 0.6× 1.7k 0.7× 4.3k 1.9× 320 11.9k
Khabat Khosravi Iran 47 5.4k 0.6× 2.4k 0.3× 1.2k 0.4× 3.3k 1.3× 3.2k 1.5× 112 8.7k

Countries citing papers authored by Haoyuan Hong

Since Specialization
Citations

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

Fields of papers citing papers by Haoyuan Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoyuan Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Haoyuan Hong. A scholar is included among the top collaborators of Haoyuan Hong 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 Haoyuan Hong. Haoyuan Hong 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.
Hong, Haoyuan. (2023). Landslide susceptibility assessment using locally weighted learning integrated with machine learning algorithms. Expert Systems with Applications. 237. 121678–121678. 26 indexed citations
2.
Li, Yuting & Haoyuan Hong. (2022). Modelling flood susceptibility based on deep learning coupling with ensemble learning models. Journal of Environmental Management. 325(Pt A). 116450–116450. 58 indexed citations
3.
Costache, Romulus, Quoc Bao Pham, Haoyuan Hong, et al.. (2020). Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential. Remote Sensing. 12(9). 1422–1422. 59 indexed citations
4.
Tang, Xianzhe, Jiufeng Li, Minnan Liu, Wei Liu, & Haoyuan Hong. (2020). Flood susceptibility assessment based on a novel random Naïve Bayes method: A comparison between different factor discretization methods. CATENA. 190. 104536–104536. 99 indexed citations
5.
6.
Razavi-Termeh, Seyed Vahid, et al.. (2020). An assessment of metaheuristic approaches for flood assessment. Journal of Hydrology. 582. 124536–124536. 67 indexed citations
7.
Chen, Wei, Haoyuan Hong, Mahdi Panahi, et al.. (2019). Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO). Applied Sciences. 9(18). 3755–3755. 147 indexed citations
8.
Wu, Yanli, Yutian Ke, Zhuo Chen, et al.. (2019). Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping. CATENA. 187. 104396–104396. 301 indexed citations breakdown →
9.
Khosravi, Khabat, Himan Shahabi, Binh Thai Pham, et al.. (2019). A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods. Journal of Hydrology. 573. 311–323. 545 indexed citations breakdown →
10.
Rehman, Sufia, et al.. (2019). A systematic review on approaches and methods used for flood vulnerability assessment: framework for future research. Natural Hazards. 96(2). 975–998. 123 indexed citations
11.
Wang, Yi, Haoyuan Hong, Wei Chen, et al.. (2019). Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm. Journal of Environmental Management. 247. 712–729. 209 indexed citations
12.
Chen, Wei, Haoyuan Hong, Shaojun Li, et al.. (2019). Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles. Journal of Hydrology. 575. 864–873. 247 indexed citations
13.
Hong, Haoyuan, Miao Yamin, Junzhi Liu, & A‐Xing Zhu. (2019). Exploring the effects of the design and quantity of absence data on the performance of random forest-based landslide susceptibility mapping. CATENA. 176. 45–64. 169 indexed citations
14.
Zhu, A‐Xing, Miao Yamin, Lin Yang, et al.. (2018). Comparison of the presence-only method and presence-absence method in landslide susceptibility mapping. CATENA. 171. 222–233. 85 indexed citations
15.
Wang, Yi, Haoyuan Hong, Wei Chen, et al.. (2018). A Hybrid GIS Multi-Criteria Decision-Making Method for Flood Susceptibility Mapping at Shangyou, China. Remote Sensing. 11(1). 62–62. 146 indexed citations
16.
Hong, Haoyuan, Paraskevas Tsangaratos, Ioanna Ilia, et al.. (2018). Applying genetic algorithms to set the optimal combination of forest fire related variables and model forest fire susceptibility based on data mining models. The case of Dayu County, China. The Science of The Total Environment. 630. 1044–1056. 149 indexed citations
17.
Sahana, Mehebub, Haoyuan Hong, & Haroon Sajjad. (2018). Analyzing urban spatial patterns and trend of urban growth using urban sprawl matrix: A study on Kolkata urban agglomeration, India. The Science of The Total Environment. 628-629. 1557–1566. 234 indexed citations
18.
Chen, Wei, Xiaoshen Xie, Jianbing Peng, et al.. (2017). GIS-based landslide susceptibility modelling: a comparative assessment of kernel logistic regression, Naïve-Bayes tree, and alternating decision tree models. Geomatics Natural Hazards and Risk. 8(2). 950–973. 197 indexed citations
19.
Tsangaratos, Paraskevas, Ioanna Ilia, Haoyuan Hong, Wei Chen, & Chong Xu. (2016). Applying Information Theory and GIS-based quantitative methods to produce landslide susceptibility maps in Nancheng County, China. Landslides. 14(3). 1091–1111. 165 indexed citations
20.
Hong, Haoyuan, Biswajeet Pradhan, Dieu Tien Bui, et al.. (2016). Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China). Geomatics Natural Hazards and Risk. 8(2). 544–569. 117 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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