Shuangxi Miao

988 total citations · 1 hit paper
23 papers, 610 citations indexed

About

Shuangxi Miao is a scholar working on Ecology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Shuangxi Miao has authored 23 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, 6 papers in Global and Planetary Change and 5 papers in Atmospheric Science. Recurrent topics in Shuangxi Miao's work include Remote Sensing in Agriculture (9 papers), Landslides and related hazards (4 papers) and Flood Risk Assessment and Management (3 papers). Shuangxi Miao is often cited by papers focused on Remote Sensing in Agriculture (9 papers), Landslides and related hazards (4 papers) and Flood Risk Assessment and Management (3 papers). Shuangxi Miao collaborates with scholars based in China, Hong Kong and United States. Shuangxi Miao's co-authors include Xuecao Li, Jianxi Huang, Wei Su, Yanan Wen, Haowei Mu, Peijun Du, Mengqing Geng, Chengqi Cheng, Hai Huang and Yelu Zeng and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.

In The Last Decade

Shuangxi Miao

20 papers receiving 594 citations

Hit Papers

A global record of annual terrestrial Human Footprint dat... 2022 2026 2023 2024 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuangxi Miao China 11 285 237 106 93 72 23 610
Jinlong Gao China 14 255 0.9× 343 1.4× 138 1.3× 113 1.2× 91 1.3× 31 569
Duole Feng China 10 298 1.0× 326 1.4× 139 1.3× 127 1.4× 28 0.4× 14 584
Javier Muro Germany 13 337 1.2× 249 1.1× 196 1.8× 112 1.2× 38 0.5× 23 553
Xin Lyu China 15 441 1.5× 273 1.2× 125 1.2× 90 1.0× 147 2.0× 34 746
Keitarou Hara Japan 13 321 1.1× 256 1.1× 182 1.7× 122 1.3× 36 0.5× 50 599
Huashun Dou China 15 432 1.5× 251 1.1× 112 1.1× 91 1.0× 154 2.1× 23 712
Zhouyuan Li China 18 289 1.0× 192 0.8× 112 1.1× 74 0.8× 55 0.8× 46 927
Martin Landa Czechia 8 269 0.9× 253 1.1× 164 1.5× 130 1.4× 61 0.8× 24 760
Gohar Ghazaryan Germany 17 369 1.3× 279 1.2× 108 1.0× 91 1.0× 76 1.1× 45 763
Yongbin Bao China 14 447 1.6× 226 1.0× 75 0.7× 180 1.9× 70 1.0× 31 645

Countries citing papers authored by Shuangxi Miao

Since Specialization
Citations

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

Fields of papers citing papers by Shuangxi Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuangxi Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Shuangxi Miao. A scholar is included among the top collaborators of Shuangxi Miao 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 Shuangxi Miao. Shuangxi Miao 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.
Zeng, Yelu, Anne Gobin, Jianxi Huang, et al.. (2025). Normalized Solar-Induced Fluorescence Responds Earlier Than Vegetation Indices to the 2019 North China Plain Drought. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–13.
2.
Liao, Y. P., et al.. (2025). A Novel Hybrid Fuzzy Comprehensive Evaluation and Machine Learning Framework for Solar PV Suitability Mapping in China. Remote Sensing. 17(12). 2070–2070. 1 indexed citations
3.
Huang, Jianxi, Zhuo Wen, Hai Huang, et al.. (2025). Progress and Perspectives of Crop Yield Forecasting With Remote Sensing: A review. IEEE Geoscience and Remote Sensing Magazine. 13(3). 338–368. 3 indexed citations
4.
Zhu, Peng, Jianxi Huang, Zhenong Jin, et al.. (2025). Extreme surface solar ultraviolet radiation events reduce maize yields in China. Communications Earth & Environment. 6(1).
5.
Du, Kaiqi, Shuangxi Miao, Xuecao Li, et al.. (2025). Improved Soybean Mapping with Spectral Gaussian Mixture Modeling. Lirias (KU Leuven). 5. 1 indexed citations
6.
Xie, Zhong-Xiang, Shuangxi Miao, Zhewei Zhang, Xuecao Li, & Jianxi Huang. (2025). Frequency-Domain Feature Interaction Combined With Multiscale Attention for Remote Sensing Change Detection. IEEE Sensors Journal. 25(15). 29284–29295.
7.
Huang, Jianxi, Jianjian Song, Xuecao Li, et al.. (2024). A novel soybean mapping index within the global optimal time window. ISPRS Journal of Photogrammetry and Remote Sensing. 217. 120–133. 3 indexed citations
8.
Yuan, Bo, Xuecao Li, Zitong Shi, et al.. (2024). The contrasting trend of global urbanization-induced impacts on day and night land surface temperature from a time-series perspective. Sustainable Cities and Society. 109. 105521–105521. 17 indexed citations
9.
Miao, Shuangxi, Yixuan Zhao, Jianxi Huang, et al.. (2023). A Comprehensive Evaluation of Flooding’s Effect on Crops Using Satellite Time Series Data. Remote Sensing. 15(5). 1305–1305. 6 indexed citations
10.
Fu, Xuan, Yi Dong, Wei Su, et al.. (2023). Identifying Corn Lodging in the Mature Period Using Chinese GF-1 PMS Images. Remote Sensing. 15(4). 894–894. 10 indexed citations
11.
Liu, Han, Lingling Sang, Caisheng Zhao, et al.. (2023). Evaluation of Spatiotemporal Changes in Cropland Quantity and Quality with Multi-Source Remote Sensing. Land. 12(9). 1764–1764. 5 indexed citations
12.
Huang, Jianxi, et al.. (2023). Improved Gaussian mixture model to map the flooded crops of VV and VH polarization data. Remote Sensing of Environment. 295. 113714–113714. 78 indexed citations
13.
Mu, Haowei, Xuecao Li, Yanan Wen, et al.. (2022). A global record of annual terrestrial Human Footprint dataset from 2000 to 2018. Scientific Data. 9(1). 176–176. 346 indexed citations breakdown →
14.
Zhang, Wanchang, Leili Zhang, Zhijie Zhang, et al.. (2022). Research on Uncertainty of Landslide Susceptibility Prediction—Bibliometrics and Knowledge Graph Analysis. Remote Sensing. 14(16). 3879–3879. 16 indexed citations
15.
Li, Xuecao, Yuyu Zhou, Xiaoping Liu, et al.. (2022). Modeling gridded urban fractional change using the temporal context information in the urban cellular automata model. Cities. 133. 104146–104146. 10 indexed citations
16.
Zhai, Weixin, Jiajie Yu, Bing Han, et al.. (2020). A management system for forestry remote sensing images based on the global subdivision model. 2. 3111–3114. 1 indexed citations
17.
Zhu, Qing, Junxiao Zhang, Yulin Ding, et al.. (2019). Semantics-Constrained Advantageous Information Selection of Multimodal Spatiotemporal Data for Landslide Disaster Assessment. ISPRS International Journal of Geo-Information. 8(2). 68–68. 10 indexed citations
18.
Cheng, Chengqi, et al.. (2019). A Precise Urban Component Management Method Based on the GeoSOT Grid Code and BIM. ISPRS International Journal of Geo-Information. 8(3). 159–159. 18 indexed citations
19.
Zhai, Weixin, et al.. (2019). Collision Detection for UAVs Based on GeoSOT-3D Grids. ISPRS International Journal of Geo-Information. 8(7). 299–299. 12 indexed citations
20.
Miao, Shuangxi, Qing Zhu, Bo Zhang, et al.. (2017). Knowledge-guided consistent correlation analysis of multimode landslide monitoring data. International Journal of Geographical Information Systems. 31(11). 2255–2271. 4 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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