Xiaoxia Ling

1.2k total citations
23 papers, 801 citations indexed

About

Xiaoxia Ling is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Xiaoxia Ling has authored 23 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 13 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Agronomy and Crop Science. Recurrent topics in Xiaoxia Ling's work include Rice Cultivation and Yield Improvement (12 papers), Climate change impacts on agriculture (11 papers) and Crop Yield and Soil Fertility (7 papers). Xiaoxia Ling is often cited by papers focused on Rice Cultivation and Yield Improvement (12 papers), Climate change impacts on agriculture (11 papers) and Crop Yield and Soil Fertility (7 papers). Xiaoxia Ling collaborates with scholars based in China, United States and Australia. Xiaoxia Ling's co-authors include Shaobing Peng, Jianliang Huang, Dongliang Xiong, Yong Li, Tingting Yu, Jia Chen, Lixiao Nie, Kehui Cui, Nanyan Deng and Shah Fahad and has published in prestigious journals such as Scientific Reports, Journal of Experimental Botany and Environmental Science and Pollution Research.

In The Last Decade

Xiaoxia Ling

18 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoxia Ling China 12 670 189 167 129 115 23 801
Woonho Yang South Korea 9 592 0.9× 187 1.0× 159 1.0× 95 0.7× 64 0.6× 41 666
Hiroe Yoshida Japan 12 747 1.1× 199 1.1× 189 1.1× 121 0.9× 57 0.5× 25 810
Xiaohai Tian China 19 879 1.3× 241 1.3× 189 1.1× 112 0.9× 70 0.6× 62 1.0k
Peihua Shi China 9 493 0.7× 118 0.6× 99 0.6× 80 0.6× 206 1.8× 13 631
Tamás Árendás Hungary 11 395 0.6× 109 0.6× 196 1.2× 117 0.9× 147 1.3× 53 633
James P. Millner New Zealand 14 389 0.6× 137 0.7× 238 1.4× 159 1.2× 89 0.8× 42 668
Clara Gabaldón‐Leal Spain 11 422 0.6× 201 1.1× 190 1.1× 95 0.7× 53 0.5× 14 553
Chathurika Wijewardana United States 18 811 1.2× 79 0.4× 133 0.8× 107 0.8× 53 0.5× 25 908
A.L. Sanico Philippines 10 906 1.4× 137 0.7× 275 1.6× 230 1.8× 123 1.1× 11 1.0k
José L. Rotundo Argentina 23 1.2k 1.9× 139 0.7× 511 3.1× 207 1.6× 148 1.3× 56 1.5k

Countries citing papers authored by Xiaoxia Ling

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxia Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxia Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxia Ling. A scholar is included among the top collaborators of Xiaoxia Ling 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 Xiaoxia Ling. Xiaoxia Ling 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.
Liu, Junzhou, et al.. (2025). 13C labeling to determine intra-leaf photosynthetic heterogeneity dynamics during drought and rewatering. Journal of Experimental Botany. 76(16). 4640–4653.
3.
Fan, Yibo, Zhuo Chen, Kehui Cui, et al.. (2025). The Race to Flourish: Evaluating Natural Variation of Early Growth Rates in Rice. Food and Energy Security. 14(5).
4.
Zhou, Yang, Matthew Tom Harrison, Meixue Zhou, et al.. (2024). Environmental drivers of wheat yield variability across China's production regions: Insights from field experiments. Journal of Agronomy and Crop Science. 210(3).
5.
Ling, Xiaoxia, et al.. (2024). Photosynthesis of rice leaves with a parallel venation is highly tolerant to vein severing. Physiologia Plantarum. 176(2). e14241–e14241. 2 indexed citations
6.
Wang, Yucheng, Xiaoxia Ling, Chunmei Ma, et al.. (2023). Can China get out of soy dilemma? A yield gap analysis of soybean in China. Agronomy for Sustainable Development. 43(4). 11 indexed citations
7.
Wang, Tiange, Dongliang Xiong, Fei Wang, et al.. (2022). Stomatal Ratio Showing No Response to Light Intensity in Oryza. Plants. 12(1). 66–66.
8.
Ling, Xiaoxia, Nanyan Deng, Dongliang Xiong, et al.. (2022). Effect of variation in the observations on the prediction uncertainty in crop model simulation: Use ORYZA (v3) as a case study. Ecological Modelling. 476. 110233–110233. 1 indexed citations
9.
Ling, Xiaoxia, Shen Yuan, Shaobing Peng, & Tao Li. (2021). Transferability of recommendations developed for transplanted rice to direct‐seeded rice in ORYZA model. Agronomy Journal. 113(6). 5612–5622. 6 indexed citations
10.
Yuan, Shen, et al.. (2021). Increase energy use efficiency and economic benefit with reduced environmental footprint in rice production of central China. Environmental Science and Pollution Research. 29(5). 7382–7392. 6 indexed citations
11.
Zhao, Panpan, Yang Zhou, Fengfeng Li, et al.. (2020). The Adaptability of APSIM-Wheat Model in the Middle and Lower Reaches of the Yangtze River Plain of China: A Case Study of Winter Wheat in Hubei Province. Agronomy. 10(7). 981–981. 27 indexed citations
12.
Ling, Xiaoxia, et al.. (2019). A review for impacts of climate change on rice production in China. ACTA AGRONOMICA SINICA. 45(3). 323–334. 16 indexed citations
13.
Jiang, Yang, Min Liu, Lijuan Zhang, et al.. (2019). Improvement and stabilization of rice production by delaying sowing date in irrigated rice system in central China. Journal of the Science of Food and Agriculture. 100(2). 595–606. 25 indexed citations
14.
Wang, Depeng, Jianliang Huang, Lixiao Nie, et al.. (2017). Integrated crop management practices for maximizing grain yield of double-season rice crop. Scientific Reports. 7(1). 38982–38982. 60 indexed citations
15.
Ge, Junzhu, Ying Xu, Mengying Wang, et al.. (2015). Comparison of Yield and Resource Utilization Efficiency among Different Maize and Rice Cropping Systems in Middle Reaches of Yangtze River. ACTA AGRONOMICA SINICA. 41(10). 1537–1547. 7 indexed citations
16.
Xiong, Dongliang, Jia Chen, Tingting Yu, et al.. (2015). SPAD-based leaf nitrogen estimation is impacted by environmental factors and crop leaf characteristics. Scientific Reports. 5(1). 13389–13389. 285 indexed citations
17.
Deng, Nanyan, Xiaoxia Ling, Yang Sun, et al.. (2015). Influence of temperature and solar radiation on grain yield and quality in irrigated rice system. European Journal of Agronomy. 64. 37–46. 114 indexed citations
18.
Kuai, Jie, Yang Yang, Yingying Sun, et al.. (2015). Paclobutrazol increases canola seed yield by enhancing lodging and pod shatter resistance in Brassica napus L.. Field Crops Research. 180. 10–20. 49 indexed citations
19.
Xiong, Dongliang, Tingting Yu, Xiaoxia Ling, et al.. (2014). Sufficient leaf transpiration and nonstructural carbohydrates are beneficial for high-temperature tolerance in three rice (Oryza sativa) cultivars and two nitrogen treatments. Functional Plant Biology. 42(4). 347–356. 40 indexed citations
20.
Ling, Xiaoxia. (2006). Advances on Impacts of Increasing Ozone Concentration in Atmosphere near Ground on Yields of Crops. Nongye huanjing kexue xuebao. 3 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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