Leilei Liu

1.8k total citations
30 papers, 1.1k citations indexed

About

Leilei Liu is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Leilei Liu has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 23 papers in Ecology, Evolution, Behavior and Systematics and 9 papers in Agronomy and Crop Science. Recurrent topics in Leilei Liu's work include Climate change impacts on agriculture (23 papers), Rice Cultivation and Yield Improvement (14 papers) and Plant responses to elevated CO2 (10 papers). Leilei Liu is often cited by papers focused on Climate change impacts on agriculture (23 papers), Rice Cultivation and Yield Improvement (14 papers) and Plant responses to elevated CO2 (10 papers). Leilei Liu collaborates with scholars based in China, United States and Australia. Leilei Liu's co-authors include Weixing Cao, Yan Zhu, Liang Tang, Bing Liu, Senthold Asseng, Liujun Xiao, Enli Wang, Ting Sun, Peihua Shi and Hang Song and has published in prestigious journals such as PLoS ONE, Global Change Biology and Journal of Experimental Botany.

In The Last Decade

Leilei Liu

27 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leilei Liu China 18 879 526 321 265 128 30 1.1k
Tanguy Lafarge France 18 1.0k 1.2× 192 0.4× 254 0.8× 205 0.8× 49 0.4× 34 1.2k
Xiaoxia Ling China 12 670 0.8× 189 0.4× 167 0.5× 75 0.3× 115 0.9× 23 801
I. R. Brooking New Zealand 15 1.1k 1.2× 285 0.5× 609 1.9× 220 0.8× 100 0.8× 32 1.3k
Ebrahim Amırı Iran 16 674 0.8× 328 0.6× 184 0.6× 155 0.6× 73 0.6× 98 942
Hiroyuki Shimono Japan 21 1.4k 1.5× 420 0.8× 157 0.5× 300 1.1× 81 0.6× 79 1.5k
Eric A. Nord United States 16 1.1k 1.3× 110 0.2× 399 1.2× 151 0.6× 140 1.1× 22 1.4k
Ando M. Radanielson Philippines 14 531 0.6× 304 0.6× 109 0.3× 76 0.3× 62 0.5× 31 705
Qijin He China 16 467 0.5× 206 0.4× 191 0.6× 233 0.9× 200 1.6× 49 787
C. Mariano Cossani Australia 18 823 0.9× 168 0.3× 486 1.5× 135 0.5× 51 0.4× 31 991
Raziel A. Ordóñez United States 14 537 0.6× 137 0.3× 355 1.1× 100 0.4× 149 1.2× 23 851

Countries citing papers authored by Leilei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Leilei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leilei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Leilei Liu. A scholar is included among the top collaborators of Leilei Liu 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 Leilei Liu. Leilei Liu 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.
Kang, Min, Liujun Xiao, Liang Tang, et al.. (2025). Integrative adaptation strategies for stabilizing wheat productivity with rising temperatures in China. Agricultural Systems. 231. 104548–104548.
2.
3.
Cao, Yuan, Yu Zhang, Xinyi Yang, et al.. (2024). Quantitative assessment of the effects of rising temperature on the grain protein of winter wheat in china and its adaptive strategies. Computers and Electronics in Agriculture. 226. 109474–109474. 2 indexed citations
4.
Xiao, Liujun, Liang Tang, Leilei Liu, et al.. (2024). Individual and combined effects of high‐temperature stress at booting and flowering stages on rice grain quality. Journal of the Science of Food and Agriculture. 105(1). 109–122.
5.
Xiao, Liujun, Senthold Asseng, Jiaxuan Xia, et al.. (2022). Simulating the effects of low-temperature stress on wheat biomass growth and yield. Agricultural and Forest Meteorology. 326. 109191–109191. 38 indexed citations
6.
Kang, Min, Jia Zhou, Liang Tang, et al.. (2022). Extreme Low-Temperature Stress Affects Nutritional Quality of Amino Acids in Rice. Frontiers in Plant Science. 13. 905348–905348. 12 indexed citations
7.
Sun, Ting, Bing Liu, Toshihiro Hasegawa, et al.. (2022). Sink-source unbalance leads to abnormal partitioning of biomass and nitrogen in rice under extreme heat stress: An experimental and modeling study. European Journal of Agronomy. 142. 126678–126678. 15 indexed citations
8.
Cammarano, Davide, Bing Liu, Leilei Liu, Alexander C. Ruane, & Yan Zhu. (2021). Potential impacts of projected warming scenarios on winter wheat in the UK. The Journal of Agricultural Science. 159(7-8). 511–522. 1 indexed citations
9.
Liu, Bing, Senthold Asseng, Xiaolei Qiu, et al.. (2021). Separating the impacts of heat stress events from rising mean temperatures on winter wheat yield of China. Environmental Research Letters. 16(12). 124035–124035. 17 indexed citations
10.
Ali, Iftikhar, Liang Tang, Junjie Dai, et al.. (2021). Responses of Grain Yield and Yield Related Parameters to Post-Heading Low-Temperature Stress in Japonica Rice. Plants. 10(7). 1425–1425. 16 indexed citations
11.
Qiu, Xiaolei, Jian Chen, Davide Cammarano, et al.. (2020). Impacts of 1.5 °C and 2.0 °C global warming above pre-industrial on potential winter wheat production of China. European Journal of Agronomy. 120. 126149–126149. 53 indexed citations
12.
Sun, Ting, Toshihiro Hasegawa, Bing Liu, et al.. (2020). Current rice models underestimate yield losses from short‐term heat stresses. Global Change Biology. 27(2). 402–416. 44 indexed citations
13.
Tang, Liang, et al.. (2018). Collision detection of virtual plant based on bounding volume hierarchy: A case study on virtual wheat. Journal of Integrative Agriculture. 17(2). 306–314. 11 indexed citations
14.
Xiao, Liujun, Leilei Liu, Senthold Asseng, et al.. (2018). Estimating spring frost and its impact on yield across winter wheat in China. Agricultural and Forest Meteorology. 260-261. 154–164. 120 indexed citations
15.
Hannaway, D. B., et al.. (2017). Quantitative Classification of Rice (Oryza sativa L.) Root Length and Diameter Using Image Analysis. PLoS ONE. 12(1). e0169968–e0169968. 28 indexed citations
16.
Liu, Bing, Senthold Asseng, Anning Wang, et al.. (2017). Modelling the effects of post-heading heat stress on biomass growth of winter wheat. Agricultural and Forest Meteorology. 247. 476–490. 51 indexed citations
17.
Shi, Peihua, Liang Tang, Lihuan Wang, et al.. (2015). Post-Heading Heat Stress in Rice of South China during 1981-2010. PLoS ONE. 10(6). e0130642–e0130642. 48 indexed citations
18.
Liu, Leilei, Yan Zhu, Liang Tang, Weixing Cao, & Enli Wang. (2013). Impacts of climate changes, soil nutrients, variety types and management practices on rice yield in East China: A case study in the Taihu region. Field Crops Research. 149. 40–48. 49 indexed citations
19.
Liu, Bing, et al.. (2013). Post‐heading heat stress and yield impact in winter wheat of China. Global Change Biology. 20(2). 372–381. 137 indexed citations
20.
Liu, Leilei, Enli Wang, Yan Zhu, Liang Tang, & Weixing Cao. (2013). Effects of warming and autonomous breeding on the phenological development and grain yield of double-rice systems in China. Agriculture Ecosystems & Environment. 165. 28–38. 30 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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