Shu Gan

432 total citations
45 papers, 307 citations indexed

About

Shu Gan is a scholar working on Environmental Engineering, Aerospace Engineering and Geology. According to data from OpenAlex, Shu Gan has authored 45 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Environmental Engineering, 12 papers in Aerospace Engineering and 12 papers in Geology. Recurrent topics in Shu Gan's work include Remote Sensing and LiDAR Applications (14 papers), 3D Surveying and Cultural Heritage (12 papers) and Landslides and related hazards (8 papers). Shu Gan is often cited by papers focused on Remote Sensing and LiDAR Applications (14 papers), 3D Surveying and Cultural Heritage (12 papers) and Landslides and related hazards (8 papers). Shu Gan collaborates with scholars based in China, Kenya and United States. Shu Gan's co-authors include Xiping Yuan, Weili Kou, Xiangming Xiao, Jinwei Dong, Li Li, Geli Zhang, Yuanwei Qin, Deli Zhai, Rui Bi and Weidong Luo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Shu Gan

40 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shu Gan China	9	132	112	77	44	44	45	307
Ruodan Zhuang Italy	8	216 1.6×	95 0.8×	75 1.0×	15 0.3×	69 1.6×	11	385
Pierre Karrasch Germany	7	132 1.0×	95 0.8×	64 0.8×	30 0.7×	40 0.9×	20	352
Jiayuan Lin China	11	280 2.1×	139 1.2×	123 1.6×	46 1.0×	55 1.3×	30	484
Serge Riazanoff France	9	162 1.2×	90 0.8×	108 1.4×	50 1.1×	55 1.3×	24	377
Feng Cheng China	11	183 1.4×	144 1.3×	103 1.3×	16 0.4×	53 1.2×	32	341
Zhitao Zhang China	12	161 1.2×	228 2.0×	44 0.6×	18 0.4×	85 1.9×	31	593
Mariano Focareta Italy	8	66 0.5×	90 0.8×	99 1.3×	157 3.6×	73 1.7×	18	324
Hayder Dibs Iraq	11	108 0.8×	111 1.0×	124 1.6×	32 0.7×	70 1.6×	25	374
A. El-Battay Bahrain	11	203 1.5×	134 1.2×	48 0.6×	31 0.7×	20 0.5×	23	396

Countries citing papers authored by Shu Gan

Since Specialization

Citations

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

Fields of papers citing papers by Shu Gan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Gan. A scholar is included among the top collaborators of Shu Gan 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 Shu Gan. Shu Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hu, Jiang, et al.. (2025). Hyperspectral quantitative retrieving of soil iron oxide and Zn content combining feature selection and machine learning algorithms. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 343. 126612–126612. 1 indexed citations

Lü, Jianguo, Xiangmei Zhao, & Shu Gan. (2025). Global, regional and national burden of tracheal, bronchus, and lung cancer attributable to ambient particulate matter pollution from 1990 to 2021: an analysis of the global burden of disease study. BMC Public Health. 25(1). 108–108. 8 indexed citations

Gan, Shu, et al.. (2024). Three-Dimensional Reconstruction of Zebra Crossings in Vehicle-Mounted LiDAR Point Clouds. Remote Sensing. 16(19). 3722–3722. 3 indexed citations

Yuan, Xiping, et al.. (2024). Automatic Coarse Registration of Urban Point Clouds Using Line-Planar Semantic Structural Features. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–24. 3 indexed citations

Zhang, Xiaolun, et al.. (2024). [Xiaojiang River Basin Ecological Environmental Quality Spatiotemporal Pattern and Evolutionary Trend Analysis Using GEE from 1990 to 2022].. PubMed. 45(7). 4122–4136.

Yuan, Xiping, et al.. (2024). A new strategy based on multi-source remote sensing data for improving the accuracy of land use/cover change classification. Scientific Reports. 14(1). 26855–26855. 6 indexed citations

Yuan, Xiping, et al.. (2024). An Effective Point Cloud Registration Method Based on Robust Removal of Outliers. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 8 indexed citations

Yuan, Xiping, et al.. (2023). UAV image matching of mountainous terrain using the LoFTR deep learning model. Frontiers in Earth Science. 11. 1 indexed citations

Luo, Weidong, et al.. (2023). Repeated UAV Observations and Digital Modeling for Surface Change Detection in Ring Structure Crater Margin in Plateau. Drones. 7(5). 298–298. 1 indexed citations

10.

Gan, Shu, et al.. (2023). Prediction of low Zn concentrations in soil from mountainous areas of central Yunnan Province using a combination of continuous wavelet transform and Boruta algorithm. International Journal of Remote Sensing. 44(15). 4753–4774. 7 indexed citations

11.

Bi, Rui, Shu Gan, Xiping Yuan, et al.. (2023). Multi-View Analysis of High-Resolution Geomorphic Features in Complex Mountains Based on UAV–LiDAR and SfM–MVS: A Case Study of the Northern Pit Rim Structure of the Mountains of Lufeng, China. Applied Sciences. 13(2). 738–738. 16 indexed citations

12.

Gan, Shu, et al.. (2023). Analysis of Topographic Feature Parameters of Dinosaur Valley Ring Tectonic Geomorphology Based on the Advanced Land Observing Satellite Digital Elevation Model (ALOS DEM). Applied Sciences. 13(24). 13137–13137. 4 indexed citations

13.

Yuan, Xiping, et al.. (2023). A novel solution to planar feature-constrained, dual quaternion-based registration method for point clouds. Survey Review. 56(394). 65–77.

14.

Gan, Shu, et al.. (2023). Mobile Phone Imaging Point Cloud Modelling for 3D Recording and Measurement of Small Scenes of Suspected Fossil Outcrops Found in the Field. Geoheritage. 15(1). 1 indexed citations

15.

Gan, Shu, et al.. (2022). Analysis of seismogenic information of GNSS strain time series based on HHT-EEMD method in Yunnan region. SHILAP Revista de lepidopterología. 1 indexed citations

16.

Yuan, Xiping, et al.. (2022). A point cloud registration method based on dual quaternion description with point-linear feature constraints. International Journal of Remote Sensing. 43(7). 2517–2537. 5 indexed citations

17.

Kou, Weili, Xiangming Xiao, Jinwei Dong, et al.. (2015). Mapping Deciduous Rubber Plantation Areas and Stand Ages with PALSAR and Landsat Images. Remote Sensing. 7(1). 1048–1073. 93 indexed citations

18.

Zhang, Lanying, et al.. (2012). Contaminant removal from low-concentration polluted river water by the bio-rack wetlands. Journal of Environmental Sciences. 24(6). 1006–1013. 26 indexed citations

19.

Gan, Shu, et al.. (2007). LUCC and its spatial expansion in frontier zone of the Longitudinal Range-Gorge Region. Chinese Science Bulletin. 52(S2). 98–105. 5 indexed citations

20.

Gan, Shu. (1998). Study on Background of Natural Ecologic Environment and Land Resources in Lancang River Basin in Yunnan. 1 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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