Xikun Wei

456 total citations
17 papers, 342 citations indexed

About

Xikun Wei is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Xikun Wei has authored 17 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atmospheric Science, 10 papers in Environmental Engineering and 10 papers in Global and Planetary Change. Recurrent topics in Xikun Wei's work include Hydrology and Watershed Management Studies (6 papers), Flood Risk Assessment and Management (5 papers) and Soil Moisture and Remote Sensing (3 papers). Xikun Wei is often cited by papers focused on Hydrology and Watershed Management Studies (6 papers), Flood Risk Assessment and Management (5 papers) and Soil Moisture and Remote Sensing (3 papers). Xikun Wei collaborates with scholars based in China, Sweden and Germany. Xikun Wei's co-authors include Guojie Wang, Guojie Wang, Solomon Obiri Yeboah Amankwah, Zhen Dong, Huihui Song, Daniel Fiifi Tawia Hagan, Aiqing Feng, Zheng Duan, Britta Schmalz and Waheed Ullah and has published in prestigious journals such as Journal of Climate, Journal of Hydrology and Remote Sensing.

In The Last Decade

Xikun Wei

16 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xikun Wei China 9 231 143 93 80 67 17 342
Solomon Obiri Yeboah Amankwah China 11 224 1.0× 74 0.5× 55 0.6× 86 1.1× 42 0.6× 21 345
Aamir Latif China 6 210 0.9× 232 1.6× 60 0.6× 69 0.9× 176 2.6× 8 476
Asmamaw Gebrehiwot United States 9 256 1.1× 162 1.1× 72 0.8× 107 1.3× 80 1.2× 10 443
Claudio Navacchi Austria 10 219 0.9× 222 1.6× 39 0.4× 163 2.0× 119 1.8× 17 478
Tsitsi Bangira South Africa 8 161 0.7× 101 0.7× 92 1.0× 56 0.7× 92 1.4× 14 280
Qianhan Wu China 9 148 0.6× 47 0.3× 116 1.2× 34 0.4× 72 1.1× 15 280
Yizhuo Meng China 7 108 0.5× 178 1.2× 46 0.5× 125 1.6× 46 0.7× 8 332
Greg Easson United States 11 108 0.5× 90 0.6× 61 0.7× 114 1.4× 82 1.2× 32 329
P. L. N. Raju India 10 160 0.7× 78 0.5× 43 0.5× 67 0.8× 109 1.6× 34 350
Nazmus Sazib United States 9 283 1.2× 148 1.0× 138 1.5× 198 2.5× 82 1.2× 10 460

Countries citing papers authored by Xikun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xikun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xikun Wei

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

All Works

17 of 17 papers shown
1.
Wei, Xikun, Guojie Wang, & Britta Schmalz. (2025). Future projections of China runoff changes based on CMIP6 and deep learning. Journal of Hydrology Regional Studies. 62. 102998–102998.
2.
Wei, Xikun, et al.. (2024). Using explainable artificial intelligence (XAI) methods to understand the nonlinear relationship between the Three Gorges Dam and downstream flood. Journal of Hydrology Regional Studies. 53. 101776–101776. 8 indexed citations
3.
Wang, Guojie, et al.. (2024). Basin-Scale Daily Drought Prediction Using Convolutional Neural Networks in Fenhe River Basin, China. Atmosphere. 15(2). 155–155. 9 indexed citations
4.
Hagan, Daniel Fiifi Tawia, et al.. (2024). Estimating Time-Dependent Structures in a Multivariate Causality for Land–Atmosphere Interactions. Journal of Climate. 37(6). 1853–1876. 7 indexed citations
5.
Song, Weichen, Aiqing Feng, Guojie Wang, et al.. (2023). Bi-Objective Crop Mapping from Sentinel-2 Images Based on Multiple Deep Learning Networks. Remote Sensing. 15(13). 3417–3417. 10 indexed citations
6.
Li, Shijie, et al.. (2023). Long-Term Characteristics of Surface Soil Moisture over the Tibetan Plateau and Its Response to Climate Change. Remote Sensing. 15(18). 4414–4414. 2 indexed citations
7.
Hu, Y., Guojie Wang, Xikun Wei, et al.. (2023). Reconstructing long-term global satellite-based soil moisture data using deep learning method. Frontiers in Earth Science. 11. 5 indexed citations
8.
Zhang, Qixia, et al.. (2023). Identifying Winter Wheat Using Landsat Data Based on Deep Learning Algorithms in the North China Plain. Remote Sensing. 15(21). 5121–5121. 8 indexed citations
9.
Dong, Zhen, et al.. (2023). Mapping inundation extents in Poyang Lake area using Sentinel-1 data and transformer-based change detection method. Journal of Hydrology. 620. 129455–129455. 28 indexed citations
10.
Wei, Xikun, Guojie Wang, Britta Schmalz, Daniel Fiifi Tawia Hagan, & Zheng Duan. (2023). Evaluation of Transformer model and Self-Attention mechanism in the Yangtze River basin runoff prediction. Journal of Hydrology Regional Studies. 47. 101438–101438. 38 indexed citations
11.
Wei, Xikun, Guojie Wang, Zheng Duan, et al.. (2022). Deep‐learning‐based harmonization and super‐resolution of near‐surface air temperature from CMIP6 models (1850–2100). International Journal of Climatology. 43(3). 1461–1479. 4 indexed citations
12.
Wang, Guojie, Xikun Wei, Solomon Obiri Yeboah Amankwah, et al.. (2022). Merging and Downscaling Soil Moisture Data From CMIP6 Projections Using Deep Learning Method. Frontiers in Environmental Science. 10. 17 indexed citations
13.
Dong, Zhen, et al.. (2021). Monitoring the summer flooding in the Poyang Lake area of China in 2020 based on Sentinel-1 data and multiple convolutional neural networks. International Journal of Applied Earth Observation and Geoinformation. 102. 102400–102400. 87 indexed citations
14.
Wang, Guojie, et al.. (2021). Identifying Cotton Fields from Remote Sensing Images Using Multiple Deep Learning Networks. Agronomy. 11(1). 174–174. 19 indexed citations
15.
Shi, Xiao Liang, et al.. (2021). Spatiotemporal Variations in the Urban Heat Islands across the Coastal Cities in the Yangtze River Delta, China. Marine Geodesy. 44(5). 467–484. 4 indexed citations
17.
Wei, Xikun, Guojie Wang, Tiexi Chen, Daniel Fiifi Tawia Hagan, & Waheed Ullah. (2020). A Spatio-Temporal Analysis of Active Fires over China during 2003–2016. Remote Sensing. 12(11). 1787–1787. 31 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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