Xiangpo Wei

570 total citations
12 papers, 467 citations indexed

About

Xiangpo Wei is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiangpo Wei has authored 12 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Media Technology, 8 papers in Atmospheric Science and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiangpo Wei's work include Remote-Sensing Image Classification (11 papers), Remote Sensing and Land Use (8 papers) and Advanced Chemical Sensor Technologies (3 papers). Xiangpo Wei is often cited by papers focused on Remote-Sensing Image Classification (11 papers), Remote Sensing and Land Use (8 papers) and Advanced Chemical Sensor Technologies (3 papers). Xiangpo Wei collaborates with scholars based in China. Xiangpo Wei's co-authors include Xuchu Yu, Bing Liu, Anzhu Yu, Pengqiang Zhang, Xiong Tan, Zhixiang Xue, Kuiliang Gao, Wenyue Guo, Bing Liu and Ting Jiang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and The Photogrammetric Record.

In The Last Decade

Xiangpo Wei

11 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiangpo Wei China	7	360	267	135	56	54	12	467
Yao Yang China	10	282 0.8×	189 0.7×	100 0.7×	41 0.7×	45 0.8×	15	410
Erting Pan China	9	356 1.0×	196 0.7×	158 1.2×	49 0.9×	41 0.8×	20	463
Yishu Peng China	13	386 1.1×	188 0.7×	173 1.3×	40 0.7×	88 1.6×	31	561
Ruoxi Song China	12	443 1.2×	173 0.6×	194 1.4×	50 0.9×	54 1.0×	31	546
Miaomiao Liang China	13	473 1.3×	320 1.2×	145 1.1×	56 1.0×	96 1.8×	34	604
Guangrui Zhao China	4	511 1.4×	244 0.9×	147 1.1×	43 0.8×	66 1.2×	8	605
Meiqi Hu China	10	339 0.9×	197 0.7×	99 0.7×	88 1.6×	59 1.1×	21	452
Sidrah Shabbir Pakistan	3	282 0.8×	163 0.6×	97 0.7×	39 0.7×	48 0.9×	6	353
Shuguo Jiang China	9	447 1.2×	195 0.7×	168 1.2×	43 0.8×	110 2.0×	11	570

Countries citing papers authored by Xiangpo Wei

Since Specialization

Citations

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

Fields of papers citing papers by Xiangpo Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangpo Wei

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

All Works

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12 of 12 papers shown

Xue, Zhixiang, Xuchu Yu, Bing Liu, Xiong Tan, & Xiangpo Wei. (2021). HResNetAM: Hierarchical Residual Network With Attention Mechanism for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 3566–3580. 89 indexed citations

Xue, Zhixiang, Xuchu Yu, Xiong Tan, et al.. (2021). Multiscale Deep Learning Network With Self-Calibrated Convolution for Hyperspectral and LiDAR Data Collaborative Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 51 indexed citations

Gao, Kuiliang, Wenyue Guo, Xuchu Yu, et al.. (2020). Deep Induction Network for Small Samples Classification of Hyperspectral Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 3462–3477. 32 indexed citations

Yu, Xuchu, et al.. (2020). Graph inductive learning method for small sample classification of hyperspectral remote sensing images. European Journal of Remote Sensing. 53(1). 349–357. 6 indexed citations

Wei, Xiangpo, et al.. (2020). CNN with local binary patterns for hyperspectral images classification. National Remote Sensing Bulletin. 24(8). 1000–1009. 5 indexed citations

Wei, Xiangpo, et al.. (2019). Convolutional neural networks and local binary patterns for hyperspectral image classification. European Journal of Remote Sensing. 52(1). 448–462. 37 indexed citations

Yu, Xuchu, et al.. (2018). A dense convolutional neural network for hyperspectral image classification. Remote Sensing Letters. 10(1). 59–66. 20 indexed citations

Wei, Xiangpo, et al.. (2017). Import Vector Machine Based Hyperspectral Imagery Classification. Procedia Computer Science. 107. 861–866. 1 indexed citations

Yu, Anzhu, et al.. (2017). Bias Compensation for Rational Function Model Based on Total Least Squares. The Photogrammetric Record. 32(157). 48–60.

10.

Liu, Bing, et al.. (2017). Supervised Deep Feature Extraction for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 56(4). 1909–1921. 217 indexed citations

11.

Yu, Xuchu, et al.. (2016). Semi-supervised classification of hyperspectral imagery based on stacked autoencoders. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10033. 100332B–100332B. 8 indexed citations

12.

Yu, Xuchu, et al.. (2016). Hyperspectral imagery classification based on probabilistic classification vector machines. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 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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