Song Cui

1.8k total citations
42 papers, 1.3k citations indexed

About

Song Cui is a scholar working on Soil Science, Plant Science and Agronomy and Crop Science. According to data from OpenAlex, Song Cui has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Soil Science, 16 papers in Plant Science and 13 papers in Agronomy and Crop Science. Recurrent topics in Song Cui's work include Soil Carbon and Nitrogen Dynamics (13 papers), Plant Water Relations and Carbon Dynamics (12 papers) and Irrigation Practices and Water Management (7 papers). Song Cui is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (13 papers), Plant Water Relations and Carbon Dynamics (12 papers) and Irrigation Practices and Water Management (7 papers). Song Cui collaborates with scholars based in United States, China and Finland. Song Cui's co-authors include Yuan Li, Qingping Zhang, Zhou Li, Scott X. Chang, Sindhu Jagadamma, Nithya Rajan, Xuan Yang, Yuying Shen, Stephan J. Maas and Qian Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Song Cui

40 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Song Cui United States 21 788 467 350 202 192 42 1.3k
Sabine J. Seidel Germany 19 606 0.8× 703 1.5× 342 1.0× 155 0.8× 162 0.8× 53 1.3k
Narendra Kumar Lenka India 20 858 1.1× 500 1.1× 207 0.6× 165 0.8× 152 0.8× 54 1.3k
Xiaohong Tian China 18 869 1.1× 517 1.1× 263 0.8× 151 0.7× 152 0.8× 57 1.3k
Chao Pu China 14 739 0.9× 333 0.7× 256 0.7× 305 1.5× 111 0.6× 15 1.1k
Neil C. Hansen United States 19 695 0.9× 617 1.3× 271 0.8× 163 0.8× 253 1.3× 49 1.4k
Nicolas Beaudoin France 13 565 0.7× 565 1.2× 362 1.0× 184 0.9× 237 1.2× 19 1.3k
Jianfu Xue China 20 913 1.2× 522 1.1× 389 1.1× 365 1.8× 163 0.8× 59 1.5k
Uttam Kumar Mandal India 21 1.0k 1.3× 596 1.3× 229 0.7× 183 0.9× 122 0.6× 71 1.6k
Omololu J. Idowu United States 19 898 1.1× 474 1.0× 306 0.9× 182 0.9× 95 0.5× 73 1.5k
Qin’ge Dong China 22 824 1.0× 588 1.3× 313 0.9× 162 0.8× 261 1.4× 57 1.3k

Countries citing papers authored by Song Cui

Since Specialization
Citations

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

Fields of papers citing papers by Song Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Song Cui. A scholar is included among the top collaborators of Song Cui 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 Song Cui. Song Cui 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.
Dong, Rui, Shuijin Hu, Song Cui, et al.. (2025). Nine years of grazing and fertilization shape dynamics of soil phosphorus fractions in Karst pasture ecosystems. Agriculture Ecosystems & Environment. 393. 109826–109826.
2.
Rajan, Nithya, et al.. (2022). Modeling Carbon Uptake of Dryland Maize Using High Resolution Satellite Imagery. SHILAP Revista de lepidopterología. 3.
3.
Li, Zhou, et al.. (2022). Simulating productivity of dryland cotton using APSIM, climate scenario analysis, and remote sensing. Agricultural and Forest Meteorology. 325. 109148–109148. 7 indexed citations
4.
Nave, Renata La Guardia, et al.. (2022). Economic outcomes for transitioning to organic forage production. Crop Forage & Turfgrass Management. 8(2). 1 indexed citations
5.
Cui, Xia, Song Cui, Qiang Wu, et al.. (2021). Predicting carbon and water vapor fluxes using machine learning and novel feature ranking algorithms. The Science of The Total Environment. 775. 145130–145130. 20 indexed citations
6.
Yang, Xuan, et al.. (2021). Assessing the impacts of projected climate changes on maize (Zea mays) productivity using crop models and climate scenario simulation. Crop and Pasture Science. 72(12). 969–984. 4 indexed citations
8.
Li, Yuan, et al.. (2020). Determining effects of water and nitrogen input on maize (Zea mays) yield, water- and nitrogen-use efficiency: A global synthesis. Scientific Reports. 10(1). 9699–9699. 25 indexed citations
9.
Li, Yuan, Zhou Li, Scott X. Chang, et al.. (2020). Residue retention promotes soil carbon accumulation in minimum tillage systems: Implications for conservation agriculture. The Science of The Total Environment. 740. 140147–140147. 89 indexed citations
10.
Rajan, Nithya, et al.. (2020). Simulation of dryland maize growth and evapotranspiration using DSSAT‐CERES‐Maize model. Agronomy Journal. 113(2). 1317–1332. 16 indexed citations
11.
Cui, Song, Qiang Wu, James West, & Jiangping Bai. (2019). Machine learning-based microarray analyses indicate low-expression genes might collectively influence PAH disease. PLoS Computational Biology. 15(8). e1007264–e1007264. 20 indexed citations
12.
Sharma, Sumit, Nithya Rajan, Song Cui, et al.. (2019). Carbon and evapotranspiration dynamics of a non-native perennial grass with biofuel potential in the southern U.S. Great Plains. Agricultural and Forest Meteorology. 269-270. 285–293. 15 indexed citations
13.
Li, Zhou, Xuan Yang, Song Cui, et al.. (2018). Developing sustainable cropping systems by integrating crop rotation with conservation tillage practices on the Loess Plateau, a long-term imperative. Field Crops Research. 222. 164–179. 32 indexed citations
14.
Li, Yuan, Song Cui, Scott X. Chang, & Qingping Zhang. (2018). Liming effects on soil pH and crop yield depend on lime material type, application method and rate, and crop species: a global meta-analysis. Journal of Soils and Sediments. 19(3). 1393–1406. 164 indexed citations
15.
Ding, Huijun, Qing He, Yongjin Zhou, Dan Guo, & Song Cui. (2017). An Individual Finger Gesture Recognition System Based on Motion-Intent Analysis Using Mechanomyogram Signal. Frontiers in Neurology. 8. 573–573. 12 indexed citations
16.
Li, Zhou, Qian Yang, Xianlong Yang, et al.. (2017). Yield, water productivity and economic return of dryland wheat in the Loess Plateau in response to conservation tillage practices. The Journal of Agricultural Science. 155(8). 1272–1286. 4 indexed citations
17.
Cui, Song, Nithya Rajan, Stephan J. Maas, & Eunseog Youn. (2014). An automated soil line identification method using relevance vector machine. Remote Sensing Letters. 5(2). 175–184. 10 indexed citations
18.
Cui, Song, Eunseog Youn, Joohyun Lee, & Stephan J. Maas. (2014). An Improved Systematic Approach to Predicting Transcription Factor Target Genes Using Support Vector Machine. PLoS ONE. 9(4). e94519–e94519. 13 indexed citations
19.
Cui, Song, V. G. Allen, Claire Brown, et al.. (2014). Carbon and nitrogen responses of three old world bluestems to nitrogen fertilization or inclusion of a legume. Field Crops Research. 164. 45–53. 12 indexed citations
20.
Cui, Song & Xiaori Han. (2006). Effect of Different Rate of Organic Fertilizer on Growth of Cucumber and Its Nutrients Uptake. Acta Agriculturae Boreali-Sinica. 2 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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