Di Long

1.1k total citations · 1 hit paper
8 papers, 959 citations indexed

About

Di Long is a scholar working on Global and Planetary Change, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Di Long has authored 8 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Global and Planetary Change, 2 papers in Artificial Intelligence and 2 papers in Atmospheric Science. Recurrent topics in Di Long's work include Plant Water Relations and Carbon Dynamics (5 papers), Atmospheric and Environmental Gas Dynamics (2 papers) and Solar Radiation and Photovoltaics (2 papers). Di Long is often cited by papers focused on Plant Water Relations and Carbon Dynamics (5 papers), Atmospheric and Environmental Gas Dynamics (2 papers) and Solar Radiation and Photovoltaics (2 papers). Di Long collaborates with scholars based in China, Australia and United States. Di Long's co-authors include Yuting Yang, Huade Guan, Wei Liang, Craig T. Simmons, Okke Batelaan, Bing Liu, Shilong Piao, Tim R. McVicar, Zhao Jin and Songhao Shang and has published in prestigious journals such as Scientific Reports, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Di Long

8 papers receiving 938 citations

Hit Papers

Contrasting responses of water use efficiency to drought ... 2016 2026 2019 2022 2016 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
Di Long China 8 805 348 256 178 156 8 959
Miaoling Liang China 11 812 1.0× 363 1.0× 220 0.9× 345 1.9× 232 1.5× 14 1.1k
Adriano Rolim da Paz Brazil 18 761 0.9× 732 2.1× 267 1.0× 187 1.1× 260 1.7× 47 1.1k
A. Ershadi Saudi Arabia 9 1.0k 1.3× 574 1.6× 135 0.5× 248 1.4× 266 1.7× 14 1.2k
Matthew J. Czikowsky United States 10 659 0.8× 121 0.3× 180 0.7× 232 1.3× 111 0.7× 12 794
H. A. Gutiérrez‐Jurado United States 15 413 0.5× 229 0.7× 169 0.7× 261 1.5× 184 1.2× 22 728
S. Bohms United States 7 854 1.1× 603 1.7× 156 0.6× 117 0.7× 252 1.6× 8 1.0k
Dambaravjaa Oyunbaatar Japan 12 483 0.6× 179 0.5× 128 0.5× 311 1.7× 139 0.9× 22 749
Hélio Camargo Brazil 5 863 1.1× 177 0.5× 222 0.9× 458 2.6× 115 0.7× 6 1.1k
Sebastian Lienert Switzerland 13 916 1.1× 143 0.4× 251 1.0× 409 2.3× 110 0.7× 28 1.1k

Countries citing papers authored by Di Long

Since Specialization
Citations

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

Fields of papers citing papers by Di Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Long

This figure shows the co-authorship network connecting the top 25 collaborators of Di Long. A scholar is included among the top collaborators of Di Long 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 Di Long. Di Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Yang, Yuting, Huade Guan, Okke Batelaan, et al.. (2016). Contrasting responses of water use efficiency to drought across global terrestrial ecosystems. Scientific Reports. 6(1). 23284–23284. 345 indexed citations breakdown →
2.
Liang, Wei, Yuting Yang, Huade Guan, et al.. (2015). Analysis of spatial and temporal patterns of net primary production and their climate controls in China from 1982 to 2010. Agricultural and Forest Meteorology. 204. 22–36. 210 indexed citations
3.
Yang, Yuting, Di Long, Huade Guan, et al.. (2015). Comparison of three dual‐source remote sensing evapotranspiration models during the MUSOEXE‐12 campaign: Revisit of model physics. Water Resources Research. 51(5). 3145–3165. 110 indexed citations
4.
Yang, Yuting, Huade Guan, Di Long, et al.. (2015). Estimation of Surface Soil Moisture from Thermal Infrared Remote Sensing Using an Improved Trapezoid Method. Remote Sensing. 7(7). 8250–8270. 52 indexed citations
5.
Yang, Yuting, Di Long, Huade Guan, et al.. (2014). GRACE satellite observed hydrological controls on interannual and seasonal variability in surface greenness over mainland Australia. Journal of Geophysical Research Biogeosciences. 119(12). 2245–2260. 124 indexed citations
6.
Yang, Yuting, Huade Guan, Songhao Shang, Di Long, & Craig T. Simmons. (2014). Toward the Use of the MODIS ET Product to Estimate Terrestrial GPP for Nonforest Ecosystems. IEEE Geoscience and Remote Sensing Letters. 11(9). 1624–1628. 23 indexed citations
7.
Yang, Yuting, Di Long, & Songhao Shang. (2013). Remote estimation of terrestrial evapotranspiration without using meteorological data. Geophysical Research Letters. 40(12). 3026–3030. 85 indexed citations
8.
Long, Di, Bridget R. Scanlon, Dulitha N. Fernando, Lei Meng, & Steven M. Quiring. (2012). Are Temperature and Precipitation Extremes Increasing over the U.S. High Plains?. Earth Interactions. 16(16). 1–20. 10 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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