Xiangqin Wei

2.4k total citations · 1 hit paper
50 papers, 1.9k citations indexed

About

Xiangqin Wei is a scholar working on Ecology, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Xiangqin Wei has authored 50 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Ecology, 22 papers in Environmental Engineering and 21 papers in Atmospheric Science. Recurrent topics in Xiangqin Wei's work include Remote Sensing in Agriculture (35 papers), Remote Sensing and LiDAR Applications (16 papers) and Land Use and Ecosystem Services (16 papers). Xiangqin Wei is often cited by papers focused on Remote Sensing in Agriculture (35 papers), Remote Sensing and LiDAR Applications (16 papers) and Land Use and Ecosystem Services (16 papers). Xiangqin Wei collaborates with scholars based in China, United States and France. Xiangqin Wei's co-authors include Kun Jia, Yunjun Yao, Shunlin Liang, Xingfa Gu, Xianhong Xie, Xiaotong Zhang, Mu Xia, Linqing Yang, Xiang Zhao and Bin Li and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Sensors.

In The Last Decade

Xiangqin Wei

49 papers receiving 1.9k citations

Hit Papers

Spatio-temporal changes of ecological vulnerability acros... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Spatio-temporal changes of ecological vulnerability across the Qinghai-Tibetan Plateau
    2021 160 citations Mu Xia, Kun Jia et al. profile →

Peers

Xiangqin Wei
Manuel Campos‐Taberner Spain
Weili Kou China
Ieda Del’Arco Sanches Brazil
Pardhasaradhi Teluguntla United States
Jinshui Zhang China
Kamini Yadav United States
Jun Xiong United States
A. Bannari Canada
Qiangzi Li China
Damien Arvor France
Manuel Campos‐Taberner Spain
Xiangqin Wei
Citations per year, relative to Xiangqin Wei Xiangqin Wei (= 1×) peers Manuel Campos‐Taberner

Countries citing papers authored by Xiangqin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xiangqin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangqin Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangqin Wei. A scholar is included among the top collaborators of Xiangqin 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 Xiangqin Wei. Xiangqin Wei 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.
Yuan, Bo, et al.. (2024). A comprehensive assessment framework for water ecological space health based on remote sensing technology. National Remote Sensing Bulletin. 29(3). 689–699.
2.
Liu, Miao, Yulin Zhan, Juan Li, et al.. (2024). Validation of Red-Edge Vegetation Indices in Vegetation Classification in Tropical Monsoon Region—A Case Study in Wenchang, Hainan, China. Remote Sensing. 16(11). 1865–1865. 6 indexed citations
3.
Gu, Xingfa, Yan Liu, Tianhai Cheng, et al.. (2023). A Multifeature Combined Cloud-Snow Differentiation Algorithm for Gaofen-1 WFV Data Using Temperature, Temporal, and Spectral Characteristics. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 9802–9815. 1 indexed citations
4.
Wei, Xiangqin, Tianhai Cheng, Li Li, et al.. (2023). Spatio-Temporal Changes in Ecosystem Quality across the Belt and Road Region. Sensors. 23(18). 7752–7752. 2 indexed citations
5.
Yang, Jian, et al.. (2023). Remote Sensing Image Scene Classification in Hybrid Classical–Quantum Transferring CNN with Small Samples. Sensors. 23(18). 8010–8010. 10 indexed citations
6.
Chen, D. Y., Hong Guo, Xingfa Gu, et al.. (2023). A Spatial Neighborhood Deep Neural Network Model for PM2.5 Estimation Across China. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 2 indexed citations
7.
Liu, Yan, Xingfa Gu, Tianhai Cheng, et al.. (2022). Temporal Shape-Based Fusion Method to Generate Continuous Vegetation Index at Fine Spatial Resolution. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 1 indexed citations
8.
Jia, Kun, Xiang Zhao, Xiangqin Wei, et al.. (2020). Review on the theory， method， and research progress of leaf area index estimation in mountainous areas. National Remote Sensing Bulletin. 24(12). 1433–1449. 6 indexed citations
9.
Jia, Kun, Chenchao Xiao, Dandan Wei, et al.. (2020). Leaf Area Index Estimation Algorithm for GF-5 Hyperspectral Data Based on Different Feature Selection and Machine Learning Methods. Remote Sensing. 12(13). 2110–2110. 60 indexed citations
10.
Jia, Kun, Xiang Zhao, Xiangqin Wei, et al.. (2019). Generating High Spatio-Temporal Resolution Fractional Vegetation Cover by Fusing GF-1 WFV and MODIS Data. Remote Sensing. 11(19). 2324–2324. 30 indexed citations
11.
12.
Jia, Kun, Xiangqin Wei, Yunjun Yao, et al.. (2019). A Time-Efficient Fractional Vegetation Cover Estimation Method Using the Dynamic Vegetation Growth Information From Time Series GLASS FVC Product. IEEE Geoscience and Remote Sensing Letters. 17(10). 1672–1676. 20 indexed citations
13.
Jia, Kun, Shunlin Liang, Xiangqin Wei, et al.. (2018). Validation of Global LAnd Surface Satellite (GLASS) fractional vegetation cover product from MODIS data in an agricultural region. Remote Sensing Letters. 9(9). 847–856. 42 indexed citations
14.
Jia, Kun, et al.. (2018). Land use and land cover classification using Chinese GF-2 multispectral data in a region of the North China Plain. Frontiers of Earth Science. 13(2). 327–335. 18 indexed citations
15.
Wei, Xiangqin, Xingfa Gu, Qingyan Meng, et al.. (2017). Leaf Area Index Estimation Using Chinese GF-1 Wide Field View Data in an Agriculture Region. Sensors. 17(7). 1593–1593. 13 indexed citations
16.
Jia, Kun, et al.. (2016). Fractional vegetation cover estimation based on soil and vegetation lines in a corn-dominated area. Geocarto International. 32(5). 531–540. 8 indexed citations
17.
Jia, Kun, Qiangzi Li, Xiangqin Wei, et al.. (2015). Multi-temporal remote sensing data applied in automatic land cover update using iterative training sample selection and Markov Random Field model. Geocarto International. 30(8). 882–893. 9 indexed citations
18.
Guo, Hong, et al.. (2014). [Evaluation of four dark object atmospheric correction methods based on ZY-3 CCD data].. PubMed. 34(8). 2203–7. 3 indexed citations
19.
Jia, Kun, Shunlin Liang, Ning Zhang, et al.. (2014). Land cover classification of finer resolution remote sensing data integrating temporal features from time series coarser resolution data. ISPRS Journal of Photogrammetry and Remote Sensing. 93. 49–55. 110 indexed citations
20.

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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