Zhidan Fu

435 total citations
17 papers, 305 citations indexed

About

Zhidan Fu is a scholar working on Agronomy and Crop Science, Plant Science and Soil Science. According to data from OpenAlex, Zhidan Fu has authored 17 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Agronomy and Crop Science, 16 papers in Plant Science and 6 papers in Soil Science. Recurrent topics in Zhidan Fu's work include Agronomic Practices and Intercropping Systems (17 papers), Legume Nitrogen Fixing Symbiosis (16 papers) and Soil Carbon and Nitrogen Dynamics (5 papers). Zhidan Fu is often cited by papers focused on Agronomic Practices and Intercropping Systems (17 papers), Legume Nitrogen Fixing Symbiosis (16 papers) and Soil Carbon and Nitrogen Dynamics (5 papers). Zhidan Fu collaborates with scholars based in China, Indonesia and Spain. Zhidan Fu's co-authors include Ping Chen, Taiwen Yong, Wenyu Yang, Qing Du, Xiaochun Wang, Chun Song, Weiguo Liu, Ting Pang, Zhou Li and Huan Yang and has published in prestigious journals such as The Science of The Total Environment, Journal of Environmental Management and Plant Cell & Environment.

In The Last Decade

Zhidan Fu

15 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhidan Fu China 7 241 207 103 51 13 17 305
Yi Xing China 9 190 0.8× 186 0.9× 131 1.3× 42 0.8× 17 1.3× 21 289
Zeqiang Shao China 10 208 0.9× 224 1.1× 113 1.1× 45 0.9× 13 1.0× 17 330
Jorge Martinelli Martello Brazil 10 148 0.6× 136 0.7× 185 1.8× 62 1.2× 16 1.2× 16 298
Edemar Moro Brazil 10 83 0.3× 236 1.1× 193 1.9× 27 0.5× 20 1.5× 32 319
Elisângela Dupas Brazil 10 142 0.6× 200 1.0× 184 1.8× 40 0.8× 17 1.3× 30 338
Paulo Sérgio Rabello de Oliveira Brazil 10 155 0.6× 185 0.9× 188 1.8× 69 1.4× 24 1.8× 74 326
Masina Sairam India 7 248 1.0× 227 1.1× 71 0.7× 71 1.4× 10 0.8× 41 385
Luiz Malcolm Mano de Mello Brazil 11 174 0.7× 213 1.0× 315 3.1× 56 1.1× 18 1.4× 31 350
Guijuan Du China 6 216 0.9× 154 0.7× 80 0.8× 123 2.4× 6 0.5× 9 296
Rodrigo Estevam Munhoz de Almeida Brazil 11 134 0.6× 243 1.2× 165 1.6× 31 0.6× 9 0.7× 40 347

Countries citing papers authored by Zhidan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Zhidan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhidan Fu

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

All Works

17 of 17 papers shown
1.
Zhang, Kejing, Yuanyuan Xue, Zhidan Fu, et al.. (2025). Diethyl aminoethyl hexanoate (DA-6) and planting density optimize soybean growth and yield formation in maize–soybean strip intercropping. The Crop Journal. 13(4). 1259–1270. 2 indexed citations
2.
Li, Yüze, Zhidan Fu, Pu Tian, et al.. (2025). Rhizosphere bacterial communities mediate the effect of maize-soybean strip intercropping and nitrogen management on cadmium phytoextraction. Applied Soil Ecology. 207. 105934–105934. 2 indexed citations
3.
Fu, Zhidan, Ping Chen, Ping Lin, et al.. (2025). The advantages in crop yields and carbon footprints of maize-soybean relay strip intercropping. Journal of Environmental Management. 392. 126707–126707.
4.
Zhang, Kejing, Zhidan Fu, Ping Lin, et al.. (2025). Soybean Variety Improves Canopy Architecture and Light Distribution to Promote Yield Formation in Maize–Soybean Strip Intercropping. Plant Cell & Environment. 49(1). 246–260. 1 indexed citations
5.
Lin, Ping, Jin Wang, Ping Chen, et al.. (2024). Relay intercropped soybean promotes nodules development and nitrogen fixation by root exudates deposition. Frontiers in Plant Science. 15. 1447447–1447447. 3 indexed citations
6.
Chen, Ping, Benchuan Zheng, Huan Yang, et al.. (2024). Relay intercropping boosts soybean recovery growth and delays nodule senescence to achieve yield advantages. Agriculture Ecosystems & Environment. 369. 109030–109030. 8 indexed citations
7.
Fu, Zhidan, Ping Chen, Ping Lin, et al.. (2024). Relay strip intercropping of soybeans and maize achieves high net ecosystem economic benefits by boosting land output and alleviating greenhouse gas emissions. Journal of the Science of Food and Agriculture. 105(3). 1914–1929. 1 indexed citations
8.
Li, Yiling, Mingyue Wang, Ping Chen, et al.. (2024). Simulation of Defoliation Effects on Relay Strip Intercropping Soybean: Elucidating Foliar Shedding and Leaf‐to‐Nodule Growth Plasticity. Plant Cell & Environment. 4 indexed citations
9.
Peng, Xinyue, Ping Chen, Ping Lin, et al.. (2024). Effects of soil physicochemical environment on the plasticity of root growth and land productivity in maize soybean relay strip intercropping system. Journal of the Science of Food and Agriculture. 104(7). 3865–3882. 10 indexed citations
10.
Fu, Zhidan, Ping Chen, Yüze Li, et al.. (2024). Effects of N levels on land productivity and N2O emissions in maize–soybean relay intercropping. Journal of the Science of Food and Agriculture. 104(14). 8823–8836. 2 indexed citations
11.
Lin, Ping, Shanshan Liu, Zhidan Fu, et al.. (2024). Rhizosphere flavonoids alleviate inhibition of soybean nodulation caused by shading under maize–soybean strip intercropping. Journal of Integrative Agriculture. 25(3). 952–964.
12.
Fu, Zhidan, Ping Chen, Xiaona Zhang, et al.. (2023). Maize-legume intercropping achieves yield advantages by improving leaf functions and dry matter partition. BMC Plant Biology. 23(1). 438–438. 31 indexed citations
13.
Chen, Ping, Shanshan Liu, Qing Du, et al.. (2023). Biochar and biofertilizer reduced nitrogen input and increased soybean yield in the maize soybean relay strip intercropping system. BMC Plant Biology. 23(1). 38–38. 6 indexed citations
14.
Li, Yiling, Ping Chen, Zhidan Fu, et al.. (2023). Maize–soybean relay cropping increases soybean yield synergistically by extending the post-anthesis leaf stay-green period and accelerating grain filling. The Crop Journal. 11(6). 1921–1930. 18 indexed citations
15.
Chen, Ping, Qing Du, Benchuan Zheng, et al.. (2023). Coordinated responses of leaf and nodule traits contribute to the accumulation of N in relay intercropped soybean. Journal of Integrative Agriculture. 23(6). 1910–1928. 9 indexed citations
16.
Fu, Zhidan, Zhou Li, Ping Chen, et al.. (2019). Effects of maize-soybean relay intercropping on crop nutrient uptake and soil bacterial community. Journal of Integrative Agriculture. 18(9). 2006–2018. 97 indexed citations
17.
Chen, Ping, Chun Song, Xiaoming Liu, et al.. (2018). Yield advantage and nitrogen fate in an additive maize-soybean relay intercropping system. The Science of The Total Environment. 657. 987–999. 111 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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