Jin Fu

833 total citations · 1 hit paper
18 papers, 590 citations indexed

About

Jin Fu is a scholar working on Environmental Chemistry, Soil Science and Plant Science. According to data from OpenAlex, Jin Fu has authored 18 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Chemistry, 8 papers in Soil Science and 8 papers in Plant Science. Recurrent topics in Jin Fu's work include Soil and Water Nutrient Dynamics (10 papers), Rice Cultivation and Yield Improvement (8 papers) and Soil Carbon and Nitrogen Dynamics (6 papers). Jin Fu is often cited by papers focused on Soil and Water Nutrient Dynamics (10 papers), Rice Cultivation and Yield Improvement (8 papers) and Soil Carbon and Nitrogen Dynamics (6 papers). Jin Fu collaborates with scholars based in China, Germany and United States. Jin Fu's co-authors include Feng Zhou, Yiwei Jian, Qihui Wang, Yali Wu, Ralf Kiese, Xiaoqing Cui, Hao Cui, Na Zhang, Zhiqiang Zhou and Shuping Wang and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Environmental Pollution.

In The Last Decade

Jin Fu

18 papers receiving 573 citations

Hit Papers

Extreme rainfall reduces one-twelfth of China’s rice yiel... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Fu China 13 199 178 140 136 133 18 590
Jianqiang Zhu China 15 210 1.1× 330 1.9× 113 0.8× 150 1.1× 112 0.8× 68 777
Nobuko Katayanagi Japan 11 196 1.0× 311 1.7× 189 1.4× 54 0.4× 113 0.8× 15 579
Ligang Wang China 10 156 0.8× 105 0.6× 125 0.9× 39 0.3× 75 0.6× 26 494
Steven Pacenka United States 11 276 1.4× 247 1.4× 116 0.8× 111 0.8× 30 0.2× 18 654
Wulahati Adalibieke China 8 193 1.0× 94 0.5× 124 0.9× 35 0.3× 107 0.8× 13 489
Katrin Drastig Germany 13 308 1.5× 154 0.9× 116 0.8× 121 0.9× 109 0.8× 33 635
M. G. Mostofa Amin Bangladesh 12 112 0.6× 89 0.5× 77 0.6× 138 1.0× 68 0.5× 40 417
Morihiro Maeda Japan 12 141 0.7× 121 0.7× 86 0.6× 55 0.4× 76 0.6× 60 518
Rachid Bouabid Morocco 14 168 0.8× 234 1.3× 133 0.9× 127 0.9× 21 0.2× 42 670
Bingzi Zhao China 11 126 0.6× 135 0.8× 82 0.6× 68 0.5× 54 0.4× 19 416

Countries citing papers authored by Jin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Fu

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

All Works

18 of 18 papers shown
1.
Fu, Jin, Chengjie Wang, Yue Qin, et al.. (2025). Regionally variable responses of maize and soybean yield to rainfall events in China. Agricultural and Forest Meteorology. 364. 110458–110458. 2 indexed citations
2.
Lin, Shuyu, Zhihai Wu, Fan Yang, et al.. (2024). Synthesis and Mechanism of 1D ZnO Based on Alkaline Dissolution‐Conversion Strategy of High Stable and Soluble ɛ‐Zn(OH)2. Small. 20(31). e2312006–e2312006. 3 indexed citations
3.
Li, Qingzhi, Yuqi Tang, Xuefang Gu, et al.. (2024). Ag-modified CuO cavity arrays as a SERS-electrochemical dual signal platform for thiram detection. Talanta. 274. 125989–125989. 13 indexed citations
4.
Fu, Jin, Chengjie Wang, Wulahati Adalibieke, et al.. (2023). Declines in nutrient losses from China’s rice paddies jointly driven by fertilizer application and extreme rainfall. Agriculture Ecosystems & Environment. 353. 108537–108537. 11 indexed citations
5.
Fu, Jin, Yiwei Jian, Xuhui Wang, et al.. (2023). Extreme rainfall reduces one-twelfth of China’s rice yield over the last two decades. Nature Food. 4(5). 416–426. 120 indexed citations breakdown →
6.
Jian, Yiwei, Jin Fu, & Feng Zhou. (2021). A review of studies on the impacts of extreme precipitation on rice yields. 地理科学进展. 40(10). 1746–1760. 6 indexed citations
7.
Wu, Yali, et al.. (2021). Characteristics and drivers of daily nitrogen and phosphorus losses from rice-rapeseed rotation systems in the middle reaches of the Yangtze River. Environmental Science and Pollution Research. 28(35). 48785–48798. 7 indexed citations
8.
Liang, Hao, Yali Wu, Xinrui Shi, et al.. (2021). Is rice field a nitrogen source or sink for the environment?. Environmental Pollution. 283. 117122–117122. 18 indexed citations
9.
Jian, Yiwei, Jin Fu, Bengang Li, & Feng Zhou. (2020). Increased extreme hourly precipitation over China’s rice paddies from 1961 to 2012. Scientific Reports. 10(1). 10609–10609. 18 indexed citations
10.
Wu, Yali, Feng Zhou, Jin Fu, et al.. (2020). Raindrop-induced ejection at soil-water interface contributes substantially to nutrient runoff losses from rice paddies. Agriculture Ecosystems & Environment. 304. 107135–107135. 22 indexed citations
11.
Fu, Jin, Yiwei Jian, Yali Wu, et al.. (2020). Nationwide estimates of nitrogen and phosphorus losses via runoff from rice paddies using data-constrained model simulations. Journal of Cleaner Production. 279. 123642–123642. 58 indexed citations
12.
Wu, Xing, Zhe Chen, Ralf Kiese, et al.. (2020). Dinitrogen (N2) pulse emissions during freeze-thaw cycles from montane grassland soil. Biology and Fertility of Soils. 56(7). 959–972. 19 indexed citations
13.
Shi, Xinrui, Kelin Hu, William D. Batchelor, et al.. (2019). Exploring optimal nitrogen management strategies to mitigate nitrogen losses from paddy soil in the middle reaches of the Yangtze River. Agricultural Water Management. 228. 105877–105877. 57 indexed citations
14.
Fu, Jin, Rainer Gasché, Na Wang, et al.. (2019). Dissolved organic carbon leaching from montane grasslands under contrasting climate, soil and management conditions. Biogeochemistry. 145(1-2). 47–61. 17 indexed citations
15.
Fu, Jin, Yali Wu, Qihui Wang, et al.. (2018). Importance of subsurface fluxes of water, nitrogen and phosphorus from rice paddy fields relative to surface runoff. Agricultural Water Management. 213. 627–635. 51 indexed citations
16.
Mauder, Matthias, Jin Fu, Ralf Kiese, et al.. (2017). Evaluation of energy balance closure adjustment methods by independent evapotranspiration estimates from lysimeters and hydrological simulations. Hydrological Processes. 32(1). 39–50. 62 indexed citations
17.
Fu, Jin, Rainer Gasché, Na Wang, et al.. (2017). Impacts of climate and management on water balance and nitrogen leaching from montane grassland soils of S-Germany. Environmental Pollution. 229. 119–131. 36 indexed citations
18.
Cui, Hao, Shuping Wang, Jin Fu, et al.. (2014). Influence of ciprofloxacin on microbial community structure and function in soils. Biology and Fertility of Soils. 50(6). 939–947. 70 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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