Ali P. Yunus

7.5k total citations · 6 hit papers
94 papers, 5.6k citations indexed

About

Ali P. Yunus is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Ecology. According to data from OpenAlex, Ali P. Yunus has authored 94 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Global and Planetary Change, 39 papers in Management, Monitoring, Policy and Law and 25 papers in Ecology. Recurrent topics in Ali P. Yunus's work include Landslides and related hazards (39 papers), Flood Risk Assessment and Management (28 papers) and Cryospheric studies and observations (15 papers). Ali P. Yunus is often cited by papers focused on Landslides and related hazards (39 papers), Flood Risk Assessment and Management (28 papers) and Cryospheric studies and observations (15 papers). Ali P. Yunus collaborates with scholars based in China, India and Japan. Ali P. Yunus's co-authors include Jie Dou, Binh Thai Pham, Abdelaziz Merghadi, Ram Avtar, Dieu Tien Bui, Zhongfan Zhu, Yasuaki Hijioka, Yoshifumi Masago, Mehebub Sahana and Chi-Wen Chen and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Ali P. Yunus

93 papers receiving 5.4k citations

Hit Papers

Machine learning methods for landslide susceptibility stu... 2019 2026 2021 2023 2020 2019 2019 2020 2020 250 500 750
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. Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance
    2020 778 citations Abdelaziz Merghadi, Ali P. Yunus et al. Earth-Science Reviews profile →
  2. Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan
    2019 487 citations Jie Dou, Ali P. Yunus et al. The Science of The Total Environment profile →
  3. Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan
    2019 408 citations Jie Dou, Ali P. Yunus et al. Landslides profile →
  4. COVID-19 and surface water quality: Improved lake water quality during the lockdown
    2020 375 citations Ali P. Yunus, Yoshifumi Masago et al. The Science of The Total Environment profile →
  5. Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning
    2020 234 citations Jie Dou, Ali P. Yunus et al. The Science of The Total Environment profile →
  6. The formation and impact of landslide dams – State of the art
    2020 201 citations Xuanmei Fan, Anja Dufresne et al. Earth-Science Reviews profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali P. Yunus China 34 3.2k 2.7k 1.3k 720 680 94 5.6k
Luigi Lombardo Netherlands 36 2.4k 0.8× 1.9k 0.7× 959 0.8× 713 1.0× 444 0.7× 116 3.7k
Inge Revhaug Norway 15 2.9k 0.9× 3.0k 1.1× 804 0.6× 744 1.0× 315 0.5× 23 4.5k
Ahmed M. Youssef Egypt 33 2.7k 0.8× 3.2k 1.2× 829 0.7× 1.1k 1.5× 307 0.5× 105 5.2k
Abolfazl Jaafari Iran 43 2.3k 0.7× 3.6k 1.3× 631 0.5× 1.3k 1.8× 640 0.9× 89 5.4k
Alexander Brenning Germany 43 2.6k 0.8× 2.5k 0.9× 2.5k 1.9× 961 1.3× 1.2k 1.7× 139 6.4k
Baharin Bin Ahmad Malaysia 47 3.2k 1.0× 4.3k 1.6× 1.1k 0.9× 1.8k 2.5× 646 0.9× 84 6.9k
Thomas Glade Austria 44 4.5k 1.4× 3.6k 1.3× 1.8k 1.4× 307 0.4× 488 0.7× 162 6.6k
Omid Ghorbanzadeh Austria 42 2.5k 0.8× 2.7k 1.0× 751 0.6× 925 1.3× 435 0.6× 80 4.9k
Mahdi Panahi South Korea 41 2.6k 0.8× 4.2k 1.5× 1.1k 0.8× 2.0k 2.8× 393 0.6× 79 6.8k
Norman Kerle Netherlands 50 2.5k 0.8× 2.6k 0.9× 1.6k 1.2× 1.6k 2.2× 1.1k 1.6× 141 7.6k

Countries citing papers authored by Ali P. Yunus

Since Specialization
Citations

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

Fields of papers citing papers by Ali P. Yunus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali P. Yunus. 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 Ali P. Yunus. The network helps show where Ali P. Yunus may publish in the future.

Co-authorship network of co-authors of Ali P. Yunus

This figure shows the co-authorship network connecting the top 25 collaborators of Ali P. Yunus. A scholar is included among the top collaborators of Ali P. Yunus 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 Ali P. Yunus. Ali P. Yunus 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.
Yunus, Ali P., et al.. (2025). Landslide susceptibility along National Highway-7 in the Himalayas using random forest-based machine learning tool. Journal of Earth System Science. 134(2). 2 indexed citations
2.
Suneel, V., et al.. (2025). Impact assessment of oil spills on the Red Sea waters using remote sensing and numerical modeling. Regional Studies in Marine Science. 86. 104187–104187. 2 indexed citations
3.
Chu, Hone‐Jay, et al.. (2024). Exploration of Multi-Decadal Landslide Frequency and Vegetation Recovery Conditions Using Remote-Sensing Big Data. Earth Systems and Environment. 9(1). 197–213. 5 indexed citations
4.
Dou, Jie, et al.. (2024). Post-seismic topographic shifts and delayed vegetation recovery in the epicentral area of the 2018 Mw 6.6 Hokkaido Eastern Iburi earthquake. Progress in Physical Geography Earth and Environment. 48(4). 595–614. 9 indexed citations
5.
Yunus, Ali P., et al.. (2023). Turbidity dynamics in Indian peninsular river mouths derived from Kd490 reveals key anthropogenic drivers. The Science of The Total Environment. 896. 165162–165162. 4 indexed citations
6.
Yunus, Ali P., et al.. (2023). Impact of extreme climatic events on the total suspended matter concentrations in coastal waters using OceanSat-2 observations. Physics and Chemistry of the Earth Parts A/B/C. 131. 103435–103435. 3 indexed citations
7.
Kumar, Pankaj, Ali P. Yunus, Ali Kharrazi, et al.. (2022). Spatio-temporal variations in the water quality of the Doorndraai Dam, South Africa: An assessment of sustainable water resource management. Current Research in Environmental Sustainability. 4. 100187–100187. 11 indexed citations
8.
Chen, Hao, et al.. (2022). Modelling Arctic coastal plain lake depths using machine learning and Google Earth Engine. Physics and Chemistry of the Earth Parts A/B/C. 126. 103138–103138. 10 indexed citations
9.
Yunus, Ali P., et al.. (2021). Basin-wide flood depth and exposure mapping from SAR images and machine learning models. Journal of Environmental Management. 297. 113367–113367. 36 indexed citations
10.
Yunus, Ali P., Yoshifumi Masago, & Yasuaki Hijioka. (2021). Analysis of long-term (2002–2020) trends and peak events in total suspended solids concentrations in the Chesapeake Bay using MODIS imagery. Journal of Environmental Management. 299. 113550–113550. 18 indexed citations
11.
Fan, Xuanmei, Anja Dufresne, Srikrishnan Siva Subramanian, et al.. (2020). The formation and impact of landslide dams – State of the art. Earth-Science Reviews. 203. 103116–103116. 201 indexed citations breakdown →
12.
Avtar, Ram, Ali P. Yunus, Jie Dou, et al.. (2020). Monitoring Effect of Spatial Growth on Land Surface Temperature in Dhaka. Remote Sensing. 12(7). 1191–1191. 31 indexed citations
13.
14.
Fan, Xuanmei, Ali P. Yunus, Gianvito Scaringi, et al.. (2020). Rapidly Evolving Controls of Landslides After a Strong Earthquake and Implications for Hazard Assessments. Geophysical Research Letters. 48(1). 87 indexed citations
15.
Dou, Jie, Ali P. Yunus, Dieu Tien Bui, et al.. (2019). Evaluating GIS-Based Multiple Statistical Models and Data Mining for Earthquake and Rainfall-Induced Landslide Susceptibility Using the LiDAR DEM. Remote Sensing. 11(6). 638–638. 137 indexed citations
16.
Yunus, Ali P., Jie Dou, Xuan Song, & Ram Avtar. (2019). Improved Bathymetric Mapping of Coastal and Lake Environments Using Sentinel-2 and Landsat-8 Images. Sensors. 19(12). 2788–2788. 79 indexed citations
17.
Dou, Jie, Ali P. Yunus, Dieu Tien Bui, et al.. (2019). Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan. Landslides. 17(3). 641–658. 408 indexed citations breakdown →
18.
Dou, Jie, Ali P. Yunus, Dieu Tien Bui, et al.. (2019). Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan. The Science of The Total Environment. 662. 332–346. 487 indexed citations breakdown →
19.
Dou, Jie, Kuan-Tsung Chang, Shuisen Chen, et al.. (2015). Automatic Case-Based Reasoning Approach for Landslide Detection: Integration of Object-Oriented Image Analysis and a Genetic Algorithm. Remote Sensing. 7(4). 4318–4342. 121 indexed citations
20.
Yunus, Ali P., et al.. (2015). Remote sensing of chlorophyll-a as a measure of red tide in Tokyo Bay using hotspot analysis. Remote Sensing Applications Society and Environment. 2. 11–25. 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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