Sensen Wu

1.4k total citations
83 papers, 837 citations indexed

About

Sensen Wu is a scholar working on Global and Planetary Change, Oceanography and Environmental Engineering. According to data from OpenAlex, Sensen Wu has authored 83 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Global and Planetary Change, 14 papers in Oceanography and 14 papers in Environmental Engineering. Recurrent topics in Sensen Wu's work include Marine and coastal ecosystems (10 papers), Land Use and Ecosystem Services (9 papers) and Spatial and Panel Data Analysis (9 papers). Sensen Wu is often cited by papers focused on Marine and coastal ecosystems (10 papers), Land Use and Ecosystem Services (9 papers) and Spatial and Panel Data Analysis (9 papers). Sensen Wu collaborates with scholars based in China, Hong Kong and United States. Sensen Wu's co-authors include Zhenhong Du, Feng Zhang, Renyi Liu, Zhongyi Wang, Yuanyuan Wang, Bo Huang, Qi Jin, Zhen Yan, Mengjiao Qin and Liuchang Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Sensen Wu

69 papers receiving 811 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sensen Wu China 16 218 196 133 110 93 83 837
Guonian Lv China 16 183 0.8× 177 0.9× 90 0.7× 87 0.8× 66 0.7× 78 773
Zong-Guo Xia United States 10 306 1.4× 305 1.6× 268 2.0× 86 0.8× 53 0.6× 19 1.4k
Jingxiong Zhang China 12 209 1.0× 245 1.3× 91 0.7× 44 0.4× 63 0.7× 57 787
Huihui Feng China 21 426 2.0× 466 2.4× 328 2.5× 85 0.8× 129 1.4× 67 1.3k
Mohamad Ali Khalil United Arab Emirates 15 217 1.0× 214 1.1× 38 0.3× 21 0.2× 71 0.8× 38 865
Liguo Zhou China 14 325 1.5× 218 1.1× 118 0.9× 19 0.2× 55 0.6× 49 865
Yanjun Wang China 16 362 1.7× 252 1.3× 123 0.9× 38 0.3× 21 0.2× 53 813
Zhigang Xu China 16 171 0.8× 370 1.9× 233 1.8× 27 0.2× 43 0.5× 57 1.1k
Zhong Zheng China 12 280 1.3× 355 1.8× 162 1.2× 16 0.1× 50 0.5× 25 853

Countries citing papers authored by Sensen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sensen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sensen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Sensen Wu. A scholar is included among the top collaborators of Sensen Wu 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 Sensen Wu. Sensen Wu 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.
2.
Hu, Rui, Sensen Wu, Yongdan Li, et al.. (2025). ShapefileGPT: a multi-agent large language model framework for automated shapefile processing. International Journal of Digital Earth. 18(2).
3.
Ma, Xiaowen, et al.. (2025). LOGCAN++: Adaptive Local-Global Class-Aware Network for Semantic Segmentation of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16. 8 indexed citations
4.
Wu, Sensen, Ruoxu Wang, Yige Wang, et al.. (2025). Using an attention-based architecture to incorporate context similarity into spatial non-stationarity estimation. International Journal of Geographical Information Systems. 39(7). 1460–1483. 2 indexed citations
5.
6.
Wang, Jihan, et al.. (2024). Spatial Downscaling of Nighttime Land Surface Temperature Based on Geographically Neural Network Weighted Regression Kriging. Remote Sensing. 16(14). 2542–2542. 3 indexed citations
7.
Wang, Bingbing, et al.. (2024). Does location affect the mechanism of tourism competitiveness? Evidence from machine learning analysis. Tourism Management Perspectives. 53. 101291–101291. 3 indexed citations
8.
Shi, Shuting, Kun Kuang, Sensen Wu, et al.. (2024). Causality-Guided Stepwise Intervention and Reweighting for Remote Sensing Image Semantic Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 3 indexed citations
9.
Gao, Yi, Mengjiao Qin, Sensen Wu, Feng Zhang, & Zhenhong Du. (2024). GSA-SiamNet: A Siamese Network with Gradient-Based Spatial Attention for Pan-Sharpening of Multi-Spectral Images. Remote Sensing. 16(4). 616–616. 3 indexed citations
10.
Wu, Sensen, et al.. (2024). Aggregative and Contrastive Dual-View Graph Attention Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17.
11.
Wu, Sensen, et al.. (2024). ENSO Forecasts With Spatiotemporal Fusion Transformer Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 17066–17074. 2 indexed citations
12.
Jin, Qi, et al.. (2024). An LLM-Based Inventory Construction Framework of Urban Ground Collapse Events with Spatiotemporal Locations. ISPRS International Journal of Geo-Information. 13(4). 133–133. 9 indexed citations
13.
Ma, Xiaowen, et al.. (2024). DOCNet: Dual-Domain Optimized Class-Aware Network for Remote Sensing Image Segmentation. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 10 indexed citations
15.
Du, Zhenhong, et al.. (2023). A spatiotemporally weighted intelligent method for exploring fine-scale distributions of surface dissolved silicate in coastal seas. The Science of The Total Environment. 886. 163981–163981. 10 indexed citations
16.
Feng, Jie, et al.. (2023). Application of ASTER Remote Sensing Data to Porphyry Copper Exploration in the Gondwana Region. Minerals. 13(4). 501–501. 14 indexed citations
17.
Qin, Mengjiao, et al.. (2023). Deep Learning‐Based Seasonal Forecast of Sea Ice Considering Atmospheric Conditions. Journal of Geophysical Research Atmospheres. 128(24). 6 indexed citations
18.
Huang, Sheng, Yijun Chen, Qi Jin, et al.. (2023). Reconstruction of dissolved oxygen in the Indian Ocean from 1980 to 2019 based on machine learning techniques. Frontiers in Marine Science. 10. 3 indexed citations
19.
Wu, Sensen, et al.. (2023). A generalized spatial autoregressive neural network method for three-dimensional spatial interpolation. Geoscientific model development. 16(10). 2777–2794. 6 indexed citations
20.
Du, Zhenhong, Sensen Wu, Mei‐Po Kwan, et al.. (2018). A spatiotemporal regression-kriging model for space-time interpolation: a case study of chlorophyll-a prediction in the coastal areas of Zhejiang, China. International Journal of Geographical Information Systems. 32(10). 1927–1947. 22 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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