Xi Yang

6.7k total citations · 2 hit papers
109 papers, 4.9k citations indexed

About

Xi Yang is a scholar working on Global and Planetary Change, Ecology and Plant Science. According to data from OpenAlex, Xi Yang has authored 109 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Global and Planetary Change, 63 papers in Ecology and 24 papers in Plant Science. Recurrent topics in Xi Yang's work include Remote Sensing in Agriculture (55 papers), Plant Water Relations and Carbon Dynamics (44 papers) and Plant responses to elevated CO2 (16 papers). Xi Yang is often cited by papers focused on Remote Sensing in Agriculture (55 papers), Plant Water Relations and Carbon Dynamics (44 papers) and Plant responses to elevated CO2 (16 papers). Xi Yang collaborates with scholars based in United States, China and South Korea. Xi Yang's co-authors include Jianwu Tang, John F. Mustard, Atticus Stovall, Joseph A. Berry, Yongguang Zhang, Herman H. Shugart, J. William Munger, Ari Kornfeld, Joanna Joiner and Luis Guanter and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Environmental Science & Technology.

In The Last Decade

Xi Yang

100 papers receiving 4.8k citations

Hit Papers

Solar‐induced chlorophyll fluorescence that correlates wi... 2015 2026 2018 2022 2015 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xi Yang United States 38 3.5k 3.0k 1.2k 793 653 109 4.9k
Grayson Badgley United States 21 3.7k 1.1× 2.6k 0.9× 1.0k 0.9× 705 0.9× 776 1.2× 28 4.9k
Michele Meroni Italy 43 3.6k 1.0× 4.3k 1.4× 1.7k 1.4× 1.4k 1.8× 904 1.4× 113 6.0k
Liangyun Liu China 41 3.8k 1.1× 4.2k 1.4× 1.4k 1.2× 1.7k 2.1× 1.3k 2.0× 292 6.6k
Bin Zhao China 40 2.7k 0.8× 3.4k 1.1× 681 0.6× 1.2k 1.6× 849 1.3× 143 5.9k
George Alan Blackburn United Kingdom 37 2.0k 0.6× 3.3k 1.1× 1.7k 1.4× 1.6k 2.0× 664 1.0× 110 5.5k
Russell Doughty United States 37 3.0k 0.9× 2.7k 0.9× 583 0.5× 1.0k 1.3× 840 1.3× 85 5.1k
Dailiang Peng China 39 2.3k 0.7× 2.8k 0.9× 740 0.6× 1.3k 1.7× 837 1.3× 126 4.5k
Guerric Le Maire France 44 3.4k 1.0× 3.6k 1.2× 2.1k 1.8× 1.7k 2.2× 806 1.2× 135 6.7k
Jadunandan Dash United Kingdom 41 3.2k 0.9× 4.8k 1.6× 1.5k 1.3× 2.2k 2.8× 1.1k 1.8× 157 6.7k
Chaoyang Wu China 46 4.5k 1.3× 4.6k 1.5× 1.3k 1.1× 1.7k 2.2× 1.4k 2.1× 165 7.2k

Countries citing papers authored by Xi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xi Yang. A scholar is included among the top collaborators of Xi Yang 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 Xi Yang. Xi Yang 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, Jiayi, et al.. (2025). TAML-Adapter: Enhancing Adapter Tuning Through Task-Agnostic Meta-Learning for Low-Resource Automatic Speech Recognition. IEEE Signal Processing Letters. 32. 636–640. 2 indexed citations
2.
Dai, Zhijun, Xuefei Mei, Xi Yang, et al.. (2025). Machine learning-based detection of dynamic changes in mangrove forest, Beilun Estuary. Ocean & Coastal Management. 266. 107696–107696. 4 indexed citations
3.
Zhang, Yao, Xiangming Xiao, Xi Yang, et al.. (2024). Immediate and lagged vegetation responses to dry spells revealed by continuous solar-induced chlorophyll fluorescence observations in a tall-grass prairie. Remote Sensing of Environment. 305. 114080–114080. 18 indexed citations
4.
Yi, K., Kimberly A. Novick, Quan Zhang, et al.. (2024). Responses of Marginal and Intrinsic Water‐Use Efficiency to Changing Aridity Using FLUXNET Observations. Journal of Geophysical Research Biogeosciences. 129(6). 3 indexed citations
6.
Yang, Jinhong, Jie Zhang, Qingjun Lu, et al.. (2022). Physicochemical Properties and Elimination of the Activity of Anti-Nutritional Serine Protease Inhibitors from Mulberry Leaves. Molecules. 27(6). 1820–1820. 6 indexed citations
7.
Ury, Emily A., Xi Yang, Justin P. Wright, & Emily S. Bernhardt. (2021). Rapid deforestation of a coastal landscape driven by sea‐level rise and extreme events. Ecological Applications. 31(5). e02339–e02339. 82 indexed citations
8.
Miao, Guofang, Kaiyu Guan, Andrew E. Suyker, et al.. (2020). Varying Contributions of Drivers to the Relationship Between Canopy Photosynthesis and Far‐Red Sun‐Induced Fluorescence for Two Maize Sites at Different Temporal Scales. Journal of Geophysical Research Biogeosciences. 125(2). 22 indexed citations
9.
Wu, Shengbiao, Jing Wang, Zhengbing Yan, et al.. (2020). Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations. ISPRS Journal of Photogrammetry and Remote Sensing. 171. 36–48. 70 indexed citations
10.
Raczka, Brett, Albert Porcar‐Castell, Troy S. Magney, et al.. (2019). Sustained Nonphotochemical Quenching Shapes the Seasonal Pattern of Solar‐Induced Fluorescence at a High‐Elevation Evergreen Forest. Journal of Geophysical Research Biogeosciences. 124(7). 2005–2020. 39 indexed citations
12.
Miao, Guofang, Kaiyu Guan, Xi Yang, et al.. (2018). Sun‐Induced Chlorophyll Fluorescence, Photosynthesis, and Light Use Efficiency of a Soybean Field from Seasonally Continuous Measurements. Journal of Geophysical Research Biogeosciences. 123(2). 610–623. 166 indexed citations
13.
Yang, Xi, Hanyu Shi, Atticus Stovall, et al.. (2018). FluoSpec 2—An Automated Field Spectroscopy System to Monitor Canopy Solar-Induced Fluorescence. Sensors. 18(7). 2063–2063. 83 indexed citations
14.
Ryu, Youngryel, Benjamin Dechant, Joseph A. Berry, et al.. (2018). Sun-induced chlorophyll fluorescence is more strongly related to absorbed light than to photosynthesis at half-hourly resolution in a rice paddy. Remote Sensing of Environment. 216. 658–673. 182 indexed citations
15.
Zhang, Yao, Xiangming Xiao, Yongguang Zhang, et al.. (2017). On the relationship between sub-daily instantaneous and daily total gross primary production: Implications for interpreting satellite-based SIF retrievals. Remote Sensing of Environment. 205. 276–289. 110 indexed citations
16.
Zhang, Yongguang, Luis Guanter, Joseph A. Berry, et al.. (2016). Model-based analysis of the relationship between sun-induced chlorophyll fluorescence and gross primary production for remote sensing applications. Remote Sensing of Environment. 187. 145–155. 212 indexed citations
17.
Yang, Xi. (2014). Farmland'Ecological Compensation in Wuhan Metropolitan Area from Prospective of Farmland Development Restriction. Huazhong Nongye Daxue xuebao. 1 indexed citations
18.
20.
Yang, Xi, et al.. (2012). Prediction of potential geographic distribution areas for Rana catesbiana and Mikania micrantha in China using GARP modeling system.. 32(1). 51–55. 3 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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