Jie Dou

164 papers receiving 8.3k citations

Jie Dou's Hit Papers

A hybrid ensemble-based deep-learning framework for landslide susceptibility mapping 2022 · 130 citations
1300+2+4Years since publication250500750

Peers

Jie Dou
Comparison fields: 5 of 190
  • Management, Monitoring, Policy and Law 3.8k
  • Global and Planetary Change 2.7k
  • Safety, Risk, Reliability and Quality 909
  • Atmospheric Science 1.3k
  • Environmental Engineering 765
Replace Abdullah Alamri with:
Abdullah Alamri Saudi Arabia
Ping Lü China
Zhenhong Li China
Fang Chen China
Peng Li China
Yong Wang China
Wei Wang China
Bing Zhang China
Guoyu Li China
Mahesh Pal India
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Citations per field
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Citations per year

Countries citing papers authored by Jie Dou

Since Specialization
Citations

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

Fields of papers citing papers by Jie Dou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jie Dou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jie Dou Line = papers co-authored together Jie Dou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance
Hit paper breakdown →
2020829
2
Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan
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2019506
3
Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan
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2019422
4 2019266
5
Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning
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2020241
6 2019227
7 2019219
8 2015200
9 2020194
10 2015191
11 2018153
12 2019140
13 2014135
14 2011134
15 2020133
16
A hybrid ensemble-based deep-learning framework for landslide susceptibility mapping
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2022130
17 2015122
18 2017120
19 2020119
20 2019118

About Jie Dou

Jie Dou is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change, Molecular Biology, Atmospheric Science and Civil and Structural Engineering, having authored 174 papers that have together received 8.4k indexed citations. Recurring topics across this work include Landslides and related hazards (61 papers), Flood Risk Assessment and Management (24 papers), Cryospheric studies and observations (19 papers), Antimicrobial Peptides and Activities (13 papers), Fire effects on ecosystems (13 papers), Dyeing and Modifying Textile Fibers (12 papers), Geotechnical Engineering and Analysis (10 papers) and Electrospun Nanofibers in Biomedical Applications (9 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (3.8k citations), Global and Planetary Change (2.7k citations), Safety, Risk, Reliability and Quality (909 citations), Atmospheric Science (1.3k citations) and Environmental Engineering (765 citations). Jie Dou has collaborated with scholars based in China, Japan and Vietnam. Frequent co-authors include Ali P. Yunus, Binh Thai Pham, Dieu Tien Bui, Abdelaziz Merghadi, Zhongfan Zhu, Changlin Zhou, Ram Avtar, Hoang Nguyen, Mehebub Sahana and Chi-Wen Chen. Their work appears in journals such as Remote Sensing, Water, Applied Sciences, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Natural Hazards.

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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