Julia C. Yang

553 total citations · 1 hit paper
9 papers, 370 citations indexed

About

Julia C. Yang is a scholar working on Ecology, Global and Planetary Change and Nature and Landscape Conservation. According to data from OpenAlex, Julia C. Yang has authored 9 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ecology, 5 papers in Global and Planetary Change and 3 papers in Nature and Landscape Conservation. Recurrent topics in Julia C. Yang's work include Plant Water Relations and Carbon Dynamics (5 papers), Remote Sensing in Agriculture (5 papers) and Species Distribution and Climate Change (2 papers). Julia C. Yang is often cited by papers focused on Plant Water Relations and Carbon Dynamics (5 papers), Remote Sensing in Agriculture (5 papers) and Species Distribution and Climate Change (2 papers). Julia C. Yang collaborates with scholars based in United States, Canada and Germany. Julia C. Yang's co-authors include Russell L. Scott, John F. Knowles, Greg A. Barron‐Gafford, William K. Smith, D. J. Moore, Xian Wang, Dong Yan, Natasha MacBean, Mallory L. Barnes and Stefanie Herrmann and has published in prestigious journals such as Remote Sensing of Environment, New Phytologist and Agricultural and Forest Meteorology.

In The Last Decade

Julia C. Yang

9 papers receiving 366 citations

Hit Papers

Remote sensing of dryland ecosystem structure and functio... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia C. Yang United States 6 245 206 89 61 61 9 370
William A. Rutherford United States 5 219 0.9× 182 0.9× 69 0.8× 70 1.1× 54 0.9× 9 417
Sophie Taddeo United States 11 213 0.9× 298 1.4× 76 0.9× 73 1.2× 44 0.7× 19 401
Jyotishman Deka India 10 183 0.7× 133 0.6× 73 0.8× 112 1.8× 54 0.9× 18 345
Calvin K. F. Lee Hong Kong 16 192 0.8× 215 1.0× 75 0.8× 64 1.0× 53 0.9× 27 384
Lisa Laurent France 6 184 0.8× 176 0.9× 58 0.7× 107 1.8× 53 0.9× 6 320
Wenmin Zhang Denmark 10 249 1.0× 154 0.7× 76 0.9× 43 0.7× 75 1.2× 19 347
Zhaoju Zheng China 12 202 0.8× 295 1.4× 181 2.0× 114 1.9× 68 1.1× 24 451
Hong Ying China 12 271 1.1× 187 0.9× 67 0.8× 38 0.6× 108 1.8× 22 354
Honglei Jiang China 8 296 1.2× 202 1.0× 40 0.4× 51 0.8× 73 1.2× 15 363
Emmanuel Da Ponte Germany 10 250 1.0× 174 0.8× 123 1.4× 103 1.7× 38 0.6× 16 410

Countries citing papers authored by Julia C. Yang

Since Specialization
Citations

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

Fields of papers citing papers by Julia C. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia C. Yang

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

All Works

9 of 9 papers shown
1.
Yang, Julia C., D. R. Bowling, Kenneth R. Smith, et al.. (2024). Forest carbon uptake as influenced by snowpack and length of photosynthesis season in seasonally snow-covered forests of North America. Agricultural and Forest Meteorology. 353. 110054–110054. 6 indexed citations
2.
Yang, Julia C., Troy S. Magney, Loren P. Albert, et al.. (2022). Gross primary production (GPP) and red solar induced fluorescence (SIF) respond differently to light and seasonal environmental conditions in a subalpine conifer forest. Agricultural and Forest Meteorology. 317. 108904–108904. 27 indexed citations
3.
Seyednasrollah, Bijan, D. R. Bowling, Rui Cheng, et al.. (2020). Seasonal variation in the canopy color of temperate evergreen conifer forests. New Phytologist. 229(5). 2586–2600. 38 indexed citations
4.
Yang, Julia C., Troy S. Magney, Dong Yan, et al.. (2020). The Photochemical Reflectance Index (PRI) Captures the Ecohydrologic Sensitivity of a Semiarid Mixed Conifer Forest. Journal of Geophysical Research Biogeosciences. 125(11). 12 indexed citations
5.
Yang, Julia C.. (2019). Diurnal and Seasonal Proximally Sensed Photochemical Reflectance Index (PRI) in a High-Stress Semi-Arid Mixed Conifer Forest. UA Campus Repository (The University of Arizona). 1 indexed citations
6.
Smith, William K., Matthew P. Dannenberg, Dong Yan, et al.. (2019). Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities. Remote Sensing of Environment. 233. 111401–111401. 274 indexed citations breakdown →
7.
Yang, Julia C., et al.. (2017). Research Article: Soil respiration in upper Great Lakes old-growth forest ecosystems. BIOS. 88(3). 105–115. 3 indexed citations
8.
Kindscher, Kelly, et al.. (2017). Harvesting and Recolonization of Wild Populations of Oshá (Ligusticum porteri) in Southern Colorado. Natural Areas Journal. 37(2). 178–187. 1 indexed citations
9.
Shaw, Ashley M., et al.. (2014). Information Processing. Oxford University Press eBooks. 8 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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