Mu Xia

647 total citations · 1 hit paper
17 papers, 475 citations indexed

About

Mu Xia is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Mu Xia has authored 17 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 11 papers in Ecology and 7 papers in Environmental Engineering. Recurrent topics in Mu Xia's work include Remote Sensing in Agriculture (10 papers), Land Use and Ecosystem Services (10 papers) and Remote Sensing and LiDAR Applications (6 papers). Mu Xia is often cited by papers focused on Remote Sensing in Agriculture (10 papers), Land Use and Ecosystem Services (10 papers) and Remote Sensing and LiDAR Applications (6 papers). Mu Xia collaborates with scholars based in China, Norway and United States. Mu Xia's co-authors include Kun Jia, Xiangqin Wei, Wenwu Zhao, Bing Wang, Shiliang Liu, Yunjun Yao, Xiaotong Zhang, Linlin Zhao, Xin Liu and Jie Li and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Environmental Research and Public Health and Remote Sensing.

In The Last Decade

Mu Xia

17 papers receiving 466 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. Ecological Indicators profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mu Xia China 13 291 228 120 102 62 17 475
Yanan Wen China 6 296 1.0× 276 1.2× 91 0.8× 117 1.1× 51 0.8× 13 567
Yunden Bayarjargal Israel 6 337 1.2× 226 1.0× 118 1.0× 117 1.1× 56 0.9× 7 478
Zhaoqin Li Canada 13 241 0.8× 288 1.3× 155 1.3× 149 1.5× 39 0.6× 26 522
Anne Schucknecht Germany 11 253 0.9× 220 1.0× 78 0.7× 94 0.9× 35 0.6× 22 436
Javier Muro Germany 13 337 1.2× 249 1.1× 196 1.6× 112 1.1× 38 0.6× 23 553
Sudip Pradhan Nepal 5 343 1.2× 183 0.8× 72 0.6× 75 0.7× 94 1.5× 6 478
Morgan A. Crowley Canada 9 259 0.9× 235 1.0× 130 1.1× 66 0.6× 29 0.5× 25 448
Elia Machado de Oliveira Brazil 8 282 1.0× 246 1.1× 88 0.7× 79 0.8× 51 0.8× 31 464
Yongbin Bao China 14 447 1.5× 226 1.0× 75 0.6× 180 1.8× 70 1.1× 31 645
Joseph P. Spruce United States 11 305 1.0× 298 1.3× 131 1.1× 73 0.7× 31 0.5× 29 487

Countries citing papers authored by Mu Xia

Since Specialization
Citations

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

Fields of papers citing papers by Mu Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mu Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Mu Xia. A scholar is included among the top collaborators of Mu Xia 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 Mu Xia. Mu Xia 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.
Jia, Kun, et al.. (2023). Using remote sensing data to evaluate the ecological restoration in Taiyuan from the SDGs perspective. International Journal of Digital Earth. 16(2). 4621–4645. 5 indexed citations
2.
Zhao, Linlin, et al.. (2023). Assessment of land degradation in Inner Mongolia between 2000 and 2020 based on remote sensing data. Geography and sustainability. 4(2). 100–111. 46 indexed citations
3.
Jia, Kun, Xiangqin Wei, Yan Liu, et al.. (2022). Improving leaf area index estimation accuracy of wheat by involving leaf chlorophyll content information. Computers and Electronics in Agriculture. 196. 106902–106902. 23 indexed citations
4.
Li, Jie, Kun Jia, Xiangqin Wei, et al.. (2022). High-spatiotemporal resolution mapping of spatiotemporally continuous atmospheric CO2 concentrations over the global continent. International Journal of Applied Earth Observation and Geoinformation. 108. 102743–102743. 44 indexed citations
5.
Liu, Duanyang, et al.. (2021). Fractional Vegetation Cover Estimation Algorithm for FY-3B Reflectance Data Based on Random Forest Regression Method. Remote Sensing. 13(11). 2165–2165. 16 indexed citations
6.
Xia, Mu & Kun Jia. (2021). Reconstructing Missing Information of Remote Sensing Data Contaminated by Large and Thick Clouds Based on an Improved Multitemporal Dictionary Learning Method. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 24 indexed citations
7.
Jia, Kun, Xiangqin Wei, Mu Xia, et al.. (2021). Improving the spatiotemporal fusion accuracy of fractional vegetation cover in agricultural regions by combining vegetation growth models. International Journal of Applied Earth Observation and Geoinformation. 101. 102362–102362. 22 indexed citations
8.
Xia, Mu, Kun Jia, Wenwu Zhao, et al.. (2021). Spatio-temporal changes of ecological vulnerability across the Qinghai-Tibetan Plateau. Ecological Indicators. 123. 107274–107274. 160 indexed citations breakdown →
9.
Xia, Mu, Kun Jia, Xiaoxue Wang, et al.. (2021). A framework for regional ecosystem authenticity evaluation–a case study on the Qinghai-Tibet Plateau of China. Global Ecology and Conservation. 31. e01849–e01849. 12 indexed citations
10.
Liu, Duanyang, Kun Jia, Mu Xia, et al.. (2021). Fractional Vegetation Cover Estimation Algorithm Based on Recurrent Neural Network for MODIS 250 m Reflectance Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 6532–6543. 13 indexed citations
11.
Li, Yuan, et al.. (2021). Dynamic Resource Pricing and Allocation in Multilayer Satellite Network. Computers, materials & continua/Computers, materials & continua (Print). 69(3). 3619–3628. 1 indexed citations
12.
Li, Jie, et al.. (2021). Spatiotemporal Distribution of Zika Virus and Its Spatially Heterogeneous Relationship with the Environment. International Journal of Environmental Research and Public Health. 18(1). 290–290. 14 indexed citations
13.
14.
Wang, Bing, Kun Jia, Xiangqin Wei, et al.. (2020). Generating spatiotemporally consistent fractional vegetation cover at different scales using spatiotemporal fusion and multiresolution tree methods. ISPRS Journal of Photogrammetry and Remote Sensing. 167. 214–229. 26 indexed citations
15.
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
16.
Jia, Kun, Xiangqin Wei, Mu Xia, et al.. (2019). Spatiotemporal Comparison and Validation of Three Global-Scale Fractional Vegetation Cover Products. Remote Sensing. 11(21). 2524–2524. 28 indexed citations
17.
Yang, Linqing, Kun Jia, Shunlin Liang, et al.. (2018). Global Fractional Vegetation Cover Estimation Algorithm for VIIRS Reflectance Data Based on Machine Learning Methods. Remote Sensing. 10(10). 1648–1648. 20 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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