Jun Yin

2.7k total citations
83 papers, 1.9k citations indexed

About

Jun Yin is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Jun Yin has authored 83 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Global and Planetary Change, 30 papers in Atmospheric Science and 29 papers in Water Science and Technology. Recurrent topics in Jun Yin's work include Climate variability and models (38 papers), Hydrology and Watershed Management Studies (23 papers) and Hydrology and Drought Analysis (18 papers). Jun Yin is often cited by papers focused on Climate variability and models (38 papers), Hydrology and Watershed Management Studies (23 papers) and Hydrology and Drought Analysis (18 papers). Jun Yin collaborates with scholars based in China, United States and Pakistan. Jun Yin's co-authors include Amilcare Porporato, Xieyao Ma, Yun Su, Xiuqi Fang, Zhe Yuan, Denghua Yan, Muhammad Arshad, Irfan Ullah, Szu Hui Ng and Sidra Syed and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jun Yin

78 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Yin China 27 1.1k 664 355 230 208 83 1.9k
Mauricio Zambrano‐Bigiarini Chile 19 1.4k 1.3× 1.2k 1.8× 973 2.7× 85 0.4× 470 2.3× 52 2.6k
Muhammad Abrar Faiz China 25 865 0.8× 192 0.3× 608 1.7× 119 0.5× 331 1.6× 80 1.6k
Mohamad Azani Alias Malaysia 15 1.1k 1.0× 200 0.3× 216 0.6× 76 0.3× 221 1.1× 58 1.5k
Colin Harpham United Kingdom 19 1.7k 1.5× 1.2k 1.8× 521 1.5× 125 0.5× 384 1.8× 31 2.5k
Thomas Houet France 26 1.3k 1.1× 444 0.7× 165 0.5× 158 0.7× 389 1.9× 75 2.2k
Kangning Huang China 18 1.6k 1.4× 549 0.8× 121 0.3× 72 0.3× 706 3.4× 41 2.5k
Yongjiu Feng China 32 2.2k 1.9× 524 0.8× 97 0.3× 59 0.3× 580 2.8× 135 2.9k
Li Dan China 17 593 0.5× 357 0.5× 153 0.4× 59 0.3× 113 0.5× 83 1.0k
Seyed‐Mohammad Hosseini‐Moghari Iran 21 634 0.6× 252 0.4× 430 1.2× 119 0.5× 266 1.3× 36 1.2k
Johan Andréasson Sweden 15 725 0.6× 311 0.5× 744 2.1× 61 0.3× 115 0.6× 64 1.5k

Countries citing papers authored by Jun Yin

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yin. A scholar is included among the top collaborators of Jun Yin 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 Jun Yin. Jun Yin 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.
Yin, Jun, K. Wang, Lei Zhao, et al.. (2024). Advanced technology in fruit preservation: Effects of nanoscale charged water particles on storage quality and reactive oxygen species in blueberries. Food Research International. 198. 115331–115331. 9 indexed citations
2.
Yin, Jun & Amilcare Porporato. (2023). Global Self‐Similar Scaling of Terrestrial Carbon With Aridity. Geophysical Research Letters. 50(3). 2 indexed citations
3.
Yin, Jun & Amilcare Porporato. (2023). Global Distribution of Climatic Aridity. Geophysical Research Letters. 50(20). 3 indexed citations
4.
Ullah, Irfan, Xin‐Min Zeng, Saadia Hina, et al.. (2023). Recent and projected changes in water scarcity and unprecedented drought events over Southern Pakistan. Frontiers in Earth Science. 11. 18 indexed citations
5.
Yin, Jun, et al.. (2021). Cloud cooling effects of afforestation and reforestation at midlatitudes. Proceedings of the National Academy of Sciences. 118(33). 53 indexed citations
6.
Yin, Jun, Annalisa Molini, & Amilcare Porporato. (2020). Impacts of solar intermittency on future photovoltaic reliability. Nature Communications. 11(1). 4781–4781. 95 indexed citations
7.
Bartlett, M. S., et al.. (2020). Modelling nonlinear dynamics of Crassulacean acid metabolism productivity and water use for global predictions. Plant Cell & Environment. 44(1). 34–48. 13 indexed citations
8.
Yin, Jun & Amilcare Porporato. (2019). Looking Up or Looking Down? Hydrologic and Atmospheric Perspectives on Precipitation and Evaporation Variability. Geophysical Research Letters. 46(21). 11968–11971. 1 indexed citations
9.
Yin, Jun & Amilcare Porporato. (2019). Radiative effects of daily cycle of cloud frequency in past and future climates. Climate Dynamics. 54(3-4). 1625–1637. 16 indexed citations
10.
Yin, Jun & Amilcare Porporato. (2017). Diurnal cloud cycle biases in climate models. Nature Communications. 8(1). 2269–2269. 62 indexed citations
11.
Yin, Jun, Denghua Yan, Zhiyong Yang, et al.. (2016). Research on Historical and Future Spatial-Temporal Variability of Precipitation in China. Advances in Meteorology. 2016. 1–14. 24 indexed citations
12.
Bakker, Pepijn, Rumi Ohgaito, Ayako Abe‐Ouchi, et al.. (2015). AMOCMIP: Probabilistic projections of future AMOC evolution driven by global warming and Greenland Ice Sheet melt.. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
13.
Weng, Baisha, et al.. (2015). Drought assessment in the Dongliao River basin: traditional approaches vs. generalized drought assessment index based on water resources systems. Natural hazards and earth system sciences. 15(8). 1889–1906. 17 indexed citations
14.
Yuan, Zhe, Denghua Yan, Zhiyong Yang, Jun Yin, & Yong Yuan. (2014). Research on temporal and spatial change of 400 mm and 800 mm rainfall contours of China in 1961-2000. 25(4). 494–502. 11 indexed citations
16.
Yin, Jun, Szu Hui Ng, & Kien Ming Ng. (2010). A Bayesian metamodeling approach for stochastic simulations. Winter Simulation Conference. 1055–1066. 4 indexed citations
17.
Yin, Jun, Szu Hui Ng, & Kien Ming Ng. (2010). A Bayesian metamodeling approach for stochastic simulations. Proceedings of the 2010 Winter Simulation Conference. 1055–1066. 2 indexed citations
18.
Yin, Jun, Szu Hui Ng, & Kien Ming Ng. (2009). A study on the effects of parameter estimation on Kriging model's prediction error in stochastic simulations. Winter Simulation Conference. 674–685. 12 indexed citations
19.
Yin, Jun, Szu Hui Ng, & Kien Ming Ng. (2009). A study on the effects of parameter estimation on kriging model's prediction error in stochastic simulations. Proceedings of the 2009 Winter Simulation Conference (WSC). 674–685. 11 indexed citations
20.
Stouffer, R. J., Jun Yin, Jonathan M. Gregory, et al.. (2005). Investigating the Causes of the Response of the Thermohaline Circulation to Past and Future Climate Changes. CentAUR (University of Reading). 2005. 1 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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