Weiyu Shi

4.5k total citations · 1 hit paper
94 papers, 3.6k citations indexed

About

Weiyu Shi is a scholar working on Soil Science, Global and Planetary Change and Ecology. According to data from OpenAlex, Weiyu Shi has authored 94 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Soil Science, 28 papers in Global and Planetary Change and 19 papers in Ecology. Recurrent topics in Weiyu Shi's work include Soil Carbon and Nitrogen Dynamics (28 papers), Plant Water Relations and Carbon Dynamics (18 papers) and Soil and Unsaturated Flow (12 papers). Weiyu Shi is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (28 papers), Plant Water Relations and Carbon Dynamics (18 papers) and Soil and Unsaturated Flow (12 papers). Weiyu Shi collaborates with scholars based in China, Japan and United States. Weiyu Shi's co-authors include Kaibo Wang, Sheng Du, Xinhua He, Yiping Chen, Yi Song, Yishan Lin, Hua Li, Hongbo Shao, Mingan Shao and Norikazu Yamanaka and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Weiyu Shi

92 papers receiving 3.5k citations

Hit Papers

Balancing green and grain trade 2015 2026 2018 2022 2015 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Balancing green and grain trade
    2015 758 citations Weiyu Shi, Yi Song et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiyu Shi China 31 1.2k 1.1k 811 648 528 94 3.6k
Mark G. Johnson United States 33 2.1k 1.8× 1.1k 1.0× 619 0.8× 1.0k 1.6× 130 0.2× 92 6.1k
Yunqi Wang China 31 666 0.6× 616 0.6× 330 0.4× 714 1.1× 102 0.2× 141 3.2k
Zhao Jin China 31 1.2k 1.0× 1.3k 1.2× 801 1.0× 759 1.2× 104 0.2× 151 3.1k
M. Anne Naeth Canada 34 1.2k 1.0× 589 0.5× 1.3k 1.6× 761 1.2× 82 0.2× 196 4.5k
Guoliang Wang China 35 2.0k 1.7× 417 0.4× 1.4k 1.7× 551 0.9× 92 0.2× 169 4.2k
Tonghui Zhang China 33 938 0.8× 648 0.6× 579 0.7× 739 1.1× 166 0.3× 145 3.1k
Xinyu Zhang China 35 2.0k 1.7× 453 0.4× 1.3k 1.6× 754 1.2× 115 0.2× 174 4.4k
Dan Berggren Kleja Sweden 38 870 0.7× 453 0.4× 626 0.8× 441 0.7× 57 0.1× 96 3.9k
Alex Chow United States 37 324 0.3× 766 0.7× 839 1.0× 586 0.9× 84 0.2× 122 4.0k
Junjian Wang China 36 771 0.7× 572 0.5× 827 1.0× 526 0.8× 51 0.1× 153 3.6k

Countries citing papers authored by Weiyu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Weiyu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiyu Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Weiyu Shi. A scholar is included among the top collaborators of Weiyu Shi 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 Weiyu Shi. Weiyu Shi 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.
2.
Shi, Weiyu, et al.. (2025). Plant–microbe-soil interactions are profoundly influenced by atmospheric circulation under climate change. Plant and Soil. 512(1-2). 1–5. 1 indexed citations
3.
Terrer, César, Pierre Gentine, Ryunosuke Tateno, et al.. (2025). Temporal and Phenological Modulation of the Impact of Increasing Drought Conditions on Vegetation Growth in a Humid Big River Basin: Insights From Global Comparisons. Earth s Future. 13(3). 4 indexed citations
4.
Takami, Hideto, Rieko Urakawa, Ryunosuke Tateno, et al.. (2025). Soil pH modulates microbial nitrogen allocation in soil via compositional and metabolic shifts across forests in Japan. PubMed. 2(4). e70054–e70054.
5.
Yu, Pujia, et al.. (2024). Vegetation degradation reduces aggregate associated carbon by reducing both labile and stable carbon fraction in Northeast China. The Science of The Total Environment. 954. 176789–176789. 3 indexed citations
6.
Zhang, Fengbao, Yuanyuan Li, Jingxia Gao, et al.. (2024). Moisture conditions trigger different response patterns of soil respiration to biochar-induced changes in soil vertical water content and temperature based on a three-year field observation study. Agriculture Ecosystems & Environment. 378. 109328–109328. 4 indexed citations
7.
Li, Yao, Weiyu Shi, Ruowen Yang, et al.. (2024). Reduced Runoff in the Upper Yangtze River Due To Comparable Contribution of Anthropogenic and Climate Changes. Earth s Future. 12(7). 18 indexed citations
8.
Shi, Weiyu, et al.. (2023). Afforestation resists the drought disturbance on soil carbon sink in subtropical agricultural ecosystems. Agriculture Ecosystems & Environment. 357. 108670–108670. 6 indexed citations
9.
Yang, Xinyue, et al.. (2023). A Review of Drought Disturbance on Socioeconomic Development. Water. 15(22). 3912–3912. 7 indexed citations
10.
Song, Yi, Yunqiang Wang, Long Jin, et al.. (2022). Quantitative contribution of the Grain for Green Program to vegetation greening and its spatiotemporal variation across the Chinese Loess Plateau. Land Degradation and Development. 33(11). 1878–1891. 24 indexed citations
11.
12.
Xia, Jiangzhou, Changxin Liu, Han Chen, et al.. (2022). How large is the mitigation potential of natural climate solutions in China?. Environmental Research Letters. 18(1). 15001–15001. 5 indexed citations
13.
Han, Juanjuan, Jiquan Chen, Weiyu Shi, et al.. (2021). Asymmetric responses of resource use efficiency to previous‐year precipitation in a semi‐arid grassland. Functional Ecology. 35(3). 807–814. 12 indexed citations
14.
15.
Guan, Jin‐Hong, Lei Deng, Jianguo Zhang, et al.. (2019). Soil organic carbon density and its driving factors in forest ecosystems across a northwestern province in China. Geoderma. 352. 1–12. 38 indexed citations
16.
Zhang, Fengbao, et al.. (2019). Rainfall simulation experiments indicate that biochar addition enhances erosion of loess‐derived soils. Land Degradation and Development. 30(18). 2272–2286. 34 indexed citations
17.
Song, Lisheng, Yan Li, Xiuchen Wu, et al.. (2019). Divergent vegetation responses to extreme spring and summer droughts in Southwestern China. Agricultural and Forest Meteorology. 279. 107703–107703. 106 indexed citations
18.
Zhang, Jianguo, et al.. (2016). Sapflow-Based Stand Transpiration in a Semiarid Natural Oak Forest on China’s Loess Plateau. Forests. 7(10). 227–227. 21 indexed citations
19.
20.
Chen, Ji, Weiyu Shi, & Junji Cao. (2014). Effects of Grazing on Ecosystem CO2 Exchange in a Meadow Grassland on the Tibetan Plateau During the Growing Season. Environmental Management. 55(2). 347–359. 50 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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