Qing Ying

1.6k total citations · 1 hit paper
20 papers, 954 citations indexed

About

Qing Ying is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Qing Ying has authored 20 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 9 papers in Ecology and 6 papers in Atmospheric Science. Recurrent topics in Qing Ying's work include Land Use and Ecosystem Services (9 papers), Remote Sensing in Agriculture (6 papers) and Remote Sensing and Land Use (6 papers). Qing Ying is often cited by papers focused on Land Use and Ecosystem Services (9 papers), Remote Sensing in Agriculture (6 papers) and Remote Sensing and Land Use (6 papers). Qing Ying collaborates with scholars based in China, United States and United Kingdom. Qing Ying's co-authors include Lei Wang, Peng Gong, Xiao Cheng, Lü Liang, Huabing Huang, Matthew C. Hansen, Alexandra Tyukavina, Peter Potapov, Le Yu and Luanyun Hu and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Qing Ying

20 papers receiving 928 citations

Hit Papers

Recent intensification of wetland methane feedback 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Ying China 12 664 386 219 208 77 20 954
Yanlei Chen China 8 498 0.8× 505 1.3× 180 0.8× 248 1.2× 100 1.3× 17 809
Sadegh Jamali Sweden 15 565 0.9× 533 1.4× 258 1.2× 260 1.3× 77 1.0× 35 1.0k
Céline Lamarche Belgium 11 789 1.2× 529 1.4× 291 1.3× 293 1.4× 126 1.6× 27 1.2k
Natalya Panov Israel 10 620 0.9× 394 1.0× 275 1.3× 365 1.8× 44 0.6× 15 969
Maria Lanfredi Italy 19 502 0.8× 308 0.8× 156 0.7× 175 0.8× 52 0.7× 50 833
Gabriel Pereira Brazil 19 676 1.0× 339 0.9× 391 1.8× 177 0.9× 77 1.0× 101 1.0k
Alexander M. Tait United States 9 471 0.7× 417 1.1× 268 1.2× 196 0.9× 91 1.2× 25 1.0k
Huan Yu China 18 341 0.5× 318 0.8× 175 0.8× 139 0.7× 76 1.0× 58 869
Douglas P. Ward Australia 16 765 1.2× 556 1.4× 170 0.8× 131 0.6× 47 0.6× 19 1.3k
Neeti Neeti United States 14 641 1.0× 489 1.3× 166 0.8× 270 1.3× 70 0.9× 22 976

Countries citing papers authored by Qing Ying

Since Specialization
Citations

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

Fields of papers citing papers by Qing Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Ying. A scholar is included among the top collaborators of Qing Ying 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 Qing Ying. Qing Ying 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.
Zhang, Zhen, Benjamin Poulter, Qing Ying, et al.. (2023). Recent intensification of wetland methane feedback. Nature Climate Change. 13(5). 430–433. 87 indexed citations breakdown →
2.
Zhang, Yiming, et al.. (2022). Leveraging the use of labeled benchmark datasets for urban area change mapping and area estimation: a case study of the Washington DC–Baltimore region. International Journal of Digital Earth. 15(1). 1169–1186. 1 indexed citations
4.
Zhao, Yanxia, Yi Zhang, Sining Chen, et al.. (2021). Heat stress may cause a significant reduction of rice yield in China under future climate scenarios. The Science of The Total Environment. 818. 151746–151746. 42 indexed citations
5.
Ma, Lixia, Guang Zheng, Qing Ying, et al.. (2021). Characterizing the three-dimensional spatiotemporal variation of forest photosynthetically active radiation using terrestrial laser scanning data. Agricultural and Forest Meteorology. 301-302. 108346–108346. 16 indexed citations
6.
Chen, Dong, et al.. (2021). A Disease Control-Oriented Land Cover Land Use Map for Myanmar. Data. 6(6). 63–63. 9 indexed citations
7.
Wang, Shuai, et al.. (2020). Accuracy assessment of Global Human Settlement Layer (GHSL) built-up products over China. PLoS ONE. 15(5). e0233164–e0233164. 23 indexed citations
8.
Potapov, Peter, Matthew C. Hansen, Indrani Kommareddy, et al.. (2020). Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping. Remote Sensing. 12(3). 426–426. 188 indexed citations
9.
Wang, Li, Xiaoyue Wang, Zheng Niu, et al.. (2019). Time Series of Landsat Imagery Shows Vegetation Recovery in Two Fragile Karst Watersheds in Southwest China from 1988 to 2016. Remote Sensing. 11(17). 2044–2044. 35 indexed citations
11.
Ying, Qing, Matthew C. Hansen, Laixiang Sun, Lei Wang, & Marc K. Steininger. (2019). Satellite-detected gain in built-up area as a leading economic indicator. Environmental Research Letters. 14(11). 114015–114015. 4 indexed citations
12.
Feng, Min, et al.. (2019). Landsat-Based Estimation of Seasonal Water Cover and Change in Arid and Semi-Arid Central Asia (2000–2015). Remote Sensing. 11(11). 1323–1323. 24 indexed citations
13.
Li, Yan, Damien Sulla‐Menashe, Safa Motesharrei, et al.. (2017). Inconsistent estimates of forest cover change in China between 2000 and 2013 from multiple datasets: differences in parameters, spatial resolution, and definitions. Scientific Reports. 7(1). 8748–8748. 41 indexed citations
14.
Ying, Qing, Matthew C. Hansen, Peter Potapov, et al.. (2017). Global bare ground gain from 2000 to 2012 using Landsat imagery. Remote Sensing of Environment. 194. 161–176. 59 indexed citations
15.
Ying, Qing, et al.. (2014). A Registration Method for Multimodal Medical Images Using Contours Mutual Information. International Journal of Advanced Computer Science and Applications. 3(4). 4 indexed citations
16.
Wang, Lei, Qing Ying, Xiao Cheng, et al.. (2012). China’s urban expansion from 1990 to 2010 determined with satellite remote sensing. Chinese Science Bulletin. 57(22). 2802–2812. 286 indexed citations
17.
Shen, Shaoqing, et al.. (2011). Sound-based remote sensing of terrestrial animals: localization and error analysis. National Remote Sensing Bulletin. 1 indexed citations
18.
Li, Congcong, Lei Wang, Peng Gong, Jie Wang, & Qing Ying. (2011). Residential area extraction by integrating supervised/unsupervised/contextual/object-based methods with moderate resolution remotely sensed data. xxxviii. 173–176. 1 indexed citations
19.
Wang, Lei, et al.. (2010). Settlement extraction in the North China Plain using Landsat and Beijing-1 multispectral data with an improved watershed segmentation algorithm. International Journal of Remote Sensing. 31(6). 1411–1426. 18 indexed citations
20.
Niu, Zhenguo, Peng Gong, Xiao Cheng, et al.. (2009). Geographical characteristics of China’s wetlands derived from remotely sensed data. Science in China Series D Earth Sciences. 52(6). 723–738. 103 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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