Xiujun Dong

2.2k total citations · 1 hit paper
53 papers, 1.7k citations indexed

About

Xiujun Dong is a scholar working on Management, Monitoring, Policy and Law, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, Xiujun Dong has authored 53 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Management, Monitoring, Policy and Law, 24 papers in Atmospheric Science and 15 papers in Aerospace Engineering. Recurrent topics in Xiujun Dong's work include Landslides and related hazards (47 papers), Cryospheric studies and observations (23 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (15 papers). Xiujun Dong is often cited by papers focused on Landslides and related hazards (47 papers), Cryospheric studies and observations (23 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (15 papers). Xiujun Dong collaborates with scholars based in China, United States and Netherlands. Xiujun Dong's co-authors include Weile Li, Qiang Xu, Qiang Xu, Xuanmei Fan, Keren Dai, Runqiu Huang, Xuanmei Fan, Xing Zhu, Hans‐Balder Havenith and Lanxin Dai and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Sustainability.

In The Last Decade

Xiujun Dong

51 papers receiving 1.6k citations

Hit Papers

Remote sensing for landslide investigations: A progress r... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiujun Dong China 22 1.4k 694 360 334 271 53 1.7k
Xuanmei Fan China 17 1.4k 1.0× 554 0.8× 456 1.3× 212 0.6× 247 0.9× 29 1.5k
Alexander L. Handwerger United States 20 1.4k 1.0× 960 1.4× 236 0.7× 468 1.4× 199 0.7× 48 1.7k
Diego Di Martire Italy 25 1.4k 1.0× 668 1.0× 308 0.9× 758 2.3× 206 0.8× 112 2.0k
William H. Schulz United States 24 2.1k 1.5× 884 1.3× 635 1.8× 271 0.8× 188 0.7× 47 2.3k
Settimio Ferlisi Italy 18 1.5k 1.1× 432 0.6× 501 1.4× 398 1.2× 158 0.6× 51 1.9k
Riccardo Fanti Italy 27 1.9k 1.4× 885 1.3× 486 1.4× 633 1.9× 255 0.9× 77 2.7k
Langping Li China 21 986 0.7× 354 0.5× 347 1.0× 136 0.4× 174 0.6× 64 1.3k
Dario Peduto Italy 26 1.3k 0.9× 653 0.9× 418 1.2× 878 2.6× 179 0.7× 64 1.8k
Yu‐Chang Chan Taiwan 21 801 0.6× 411 0.6× 339 0.9× 155 0.5× 243 0.9× 76 2.0k
Bo Zhao China 25 1.0k 0.7× 501 0.7× 289 0.8× 109 0.3× 283 1.0× 106 1.6k

Countries citing papers authored by Xiujun Dong

Since Specialization
Citations

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

Fields of papers citing papers by Xiujun Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiujun Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Xiujun Dong. A scholar is included among the top collaborators of Xiujun Dong 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 Xiujun Dong. Xiujun Dong 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.
Xu, Qiang, et al.. (2025). Identification, distribution, and mechanisms of large landslides in the upper reaches of Jinsha River. Bulletin of Engineering Geology and the Environment. 84(4). 4 indexed citations
2.
Chen, Youdong, Keren Dai, Ling Chang, et al.. (2024). The pre-processing InSAR feasibility assessment method for wide-area slope displacement monitoring. International Journal of Applied Earth Observation and Geoinformation. 136. 104336–104336. 4 indexed citations
3.
Wang, Xin, et al.. (2024). A globally distributed dataset of coseismic landslide mapping via multi-source high-resolution remote sensing images. Earth system science data. 16(10). 4817–4842. 14 indexed citations
4.
Lu, Huiyan, Weile Li, Qiang Xu, et al.. (2024). Active landslide detection using integrated remote sensing technologies for a wide region and multiple stages: A case study in southwestern China. The Science of The Total Environment. 931. 172709–172709. 24 indexed citations
5.
Xu, Qiang, et al.. (2024). 3D Distinct Element Back Analysis Based on Rock Structure Modelling of SfM Point Clouds: The Case of the 2019 Pinglu Rockfall of Kaili, China. Journal of Earth Science. 35(5). 1568–1582. 6 indexed citations
6.
Zeng, Peng, Tianbin Li, Xiaoping Sun, et al.. (2023). Constructing a region-specific rheological parameter database for probabilistic run-out analyses of loess flowslides. Landslides. 20(6). 1167–1185. 8 indexed citations
7.
Li, Weile, Junyi Chen, Huiyan Lu, et al.. (2023). Analysis of Seismic Impact on Hailuogou Glacier after the 2022 Luding Ms 6.8 Earthquake, China, Using SAR Offset Tracking Technology. Remote Sensing. 15(5). 1468–1468. 8 indexed citations
8.
Dong, Xiujun, Tao Yin, Keren Dai, et al.. (2022). Identifying Potential Landslides on Giant Niexia Slope (China) Based on Integrated Multi-Remote Sensing Technologies. Remote Sensing. 14(24). 6328–6328. 9 indexed citations
9.
Ju, Yuanzhen, Qiang Xu, Shichao Jin, et al.. (2022). Loess Landslide Detection Using Object Detection Algorithms in Northwest China. Remote Sensing. 14(5). 1182–1182. 51 indexed citations
10.
Xu, Qiang, et al.. (2022). Dynamic process analysis of the Xinmo landslide via seismic signal and numerical simulation. Landslides. 19(6). 1463–1478. 14 indexed citations
11.
Xu, Qiang, Chen Guo, Xiujun Dong, et al.. (2021). Mapping and Characterizing Displacements of Landslides with InSAR and Airborne LiDAR Technologies: A Case Study of Danba County, Southwest China. Remote Sensing. 13(21). 4234–4234. 42 indexed citations
12.
Xu, Qiang, Xiujun Dong, Weile Li, et al.. (2021). Geohazard Recognition and Inventory Mapping Using Airborne LiDAR Data in Complex Mountainous Areas. Journal of Earth Science. 32(5). 1079–1091. 40 indexed citations
14.
Liu, Zhongming, et al.. (2021). Analysis Using High‐Precision Airborne LiDAR Data to Survey Potential Collapse Geological Hazards. Advances in Civil Engineering. 2021(1). 3 indexed citations
16.
Xu, Qiang, et al.. (2020). Application of Unmanned Aerial Vehicle Oblique Photogrammetry to Investigation of High Slope Rock Structure. Wuhan Daxue xuebao. Xinxi kexue ban. 45(11). 1739–1746. 6 indexed citations
17.
Kou, Pinglang, Ali P. Yunus, Xiujun Dong, et al.. (2020). Micro-topographic assessment of rill morphology highlights the shortcomings of current protective measures in loess landscapes. The Science of The Total Environment. 737. 139721–139721. 20 indexed citations
18.
Dai, Keren, Shengpeng Li, Xianlin Shi, et al.. (2020). Evaluating Potential Ground Subsidence Geo-Hazard of Xiamen Xiang’an New Airport on Reclaimed Land by SAR Interferometry. Sustainability. 12(17). 6991–6991. 24 indexed citations
19.
Fan, Xuanmei, Weiwei Zhan, Xiujun Dong, et al.. (2018). Analyzing successive landslide dam formation by different triggering mechanisms: The case of the Tangjiawan landslide, Sichuan, China. Engineering Geology. 243. 128–144. 52 indexed citations
20.
Xu, Qiang, Dalei Peng, Weile Li, et al.. (2017). The catastrophic landfill flowslide at Hongao dumpsite on 20 December 2015 in Shenzhen, China. Natural hazards and earth system sciences. 17(2). 277–290. 25 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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