Juyu Lian

2.6k total citations
63 papers, 1.3k citations indexed

About

Juyu Lian is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Juyu Lian has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Nature and Landscape Conservation, 26 papers in Ecology, Evolution, Behavior and Systematics and 18 papers in Ecology. Recurrent topics in Juyu Lian's work include Ecology and Vegetation Dynamics Studies (40 papers), Plant and animal studies (26 papers) and Species Distribution and Climate Change (15 papers). Juyu Lian is often cited by papers focused on Ecology and Vegetation Dynamics Studies (40 papers), Plant and animal studies (26 papers) and Species Distribution and Climate Change (15 papers). Juyu Lian collaborates with scholars based in China, United States and Canada. Juyu Lian's co-authors include Wanhui Ye, Honglin Cao, Jian Zhang, Jianbo Hu, Xuejun Ouyang, Zhongliang Huang, Keping Ma, Zhigao Wang, Yong Shen and Yue Bin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Juyu Lian

59 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juyu Lian China 18 724 412 368 366 229 63 1.3k
Jean‐François Molino France 18 1.1k 1.5× 431 1.0× 511 1.4× 628 1.7× 351 1.5× 42 1.8k
Michaela Vítková Czechia 16 546 0.8× 431 1.0× 298 0.8× 233 0.6× 262 1.1× 24 1.2k
Tom Swinfield United Kingdom 20 489 0.7× 370 0.9× 375 1.0× 222 0.6× 166 0.7× 32 1.0k
Norman A. Bourg United States 17 729 1.0× 490 1.2× 380 1.0× 298 0.8× 217 0.9× 23 1.2k
Álvaro G. Gutiérrez Chile 21 736 1.0× 327 0.8× 674 1.8× 244 0.7× 245 1.1× 34 1.4k
Cendrine Mony France 25 590 0.8× 734 1.8× 360 1.0× 438 1.2× 129 0.6× 80 1.8k
Sabine Both United Kingdom 19 592 0.8× 292 0.7× 385 1.0× 306 0.8× 147 0.6× 28 1.1k
Eizi Suzuki Japan 21 1.0k 1.4× 281 0.7× 490 1.3× 371 1.0× 100 0.4× 69 1.5k
Peter A. Harrison Australia 17 451 0.6× 355 0.9× 249 0.7× 179 0.5× 226 1.0× 47 989
Jens Nieschulze Germany 9 315 0.4× 409 1.0× 187 0.5× 390 1.1× 168 0.7× 18 999

Countries citing papers authored by Juyu Lian

Since Specialization
Citations

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

Fields of papers citing papers by Juyu Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juyu Lian

This figure shows the co-authorship network connecting the top 25 collaborators of Juyu Lian. A scholar is included among the top collaborators of Juyu Lian 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 Juyu Lian. Juyu Lian 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.
Yu, Fangyuan, Junjie Wang, Juyu Lian, et al.. (2024). Robust hyperspectral estimation of eight leaf functional traits across different species and canopy layers in a subtropical evergreen broad-leaf forest. Ecological Indicators. 169. 112818–112818. 1 indexed citations
2.
Bin, Yue, Sabrina E. Russo, Yanpeng Li, et al.. (2024). Functional traits are more strongly correlated with biomass than diameter growth. Journal of Ecology. 112(6). 1225–1239. 4 indexed citations
3.
4.
Chen, Pan, Juyu Lian, Bin Wu, et al.. (2023). Draft genome of Castanopsis chinensis, a dominant species safeguarding biodiversity in subtropical broadleaved evergreen forests. BMC Genomic Data. 24(1). 78–78. 2 indexed citations
5.
Jin, Lu, Ting Li, Nan Zhao, et al.. (2023). A DNA barcode library for woody plants in tropical and subtropical China. Scientific Data. 10(1). 819–819. 4 indexed citations
6.
Lian, Juyu, et al.. (2023). Genome assembly of Erythrophleum Fordii, a special “ironwood” tree in China. BMC Genomic Data. 24(1). 73–73. 1 indexed citations
7.
Jin, Lu, Qiaoming Li, Luxiang Lin, et al.. (2023). Stronger latitudinal phylogenetic patterns in woody angiosperm assemblages with higher dispersal abilities in China. Journal of Biogeography. 51(2). 269–279. 3 indexed citations
8.
He, Pengcheng, Juyu Lian, Qing Ye, et al.. (2022). How do functional traits influence tree demographic properties in a subtropical monsoon forest?. Functional Ecology. 36(12). 3200–3210. 18 indexed citations
9.
Li, Yanpeng, Han Xu, Jie Chen, et al.. (2022). Effects of soil resource availability on patterns of plant functional traits across spatial scales. Ecology and Evolution. 12(2). e8587–e8587. 4 indexed citations
10.
Bin, Yue, Yanpeng Li, Sabrina E. Russo, et al.. (2022). Leaf trait expression varies with tree size and ecological strategy in a subtropical forest. Functional Ecology. 36(4). 1010–1022. 14 indexed citations
11.
Zhang, Zhaochen, Jianbo Hu, Qingsong Yang, et al.. (2021). An unmanned aerial vehicle visible light remote sensing image dataset of four forest dynamic plots in subtropical China. Biodiversity Science. 29(9). 1181–1185. 4 indexed citations
12.
Wang, Tiejun, Honglin Cao, Yanpeng Li, et al.. (2021). An old-growth subtropical evergreen broadleaved forest suffered more damage from Typhoon Mangkhut than an adjacent secondary forest. Forest Ecology and Management. 496. 119433–119433. 19 indexed citations
13.
Liu, Lan, Kai Zhu, Sascha Krause, et al.. (2021). Changes in assembly processes of soil microbial communities during secondary succession in two subtropical forests. Soil Biology and Biochemistry. 154. 108144–108144. 118 indexed citations
14.
Bin, Yue, Sabrina E. Russo, Zhongliang Huang, et al.. (2019). Testing the competition-colonization trade-off and its correlations with functional trait variations among subtropical tree species. Scientific Reports. 9(1). 14942–14942. 19 indexed citations
15.
16.
Wang, Yue, Juyu Lian, Jian Zhang, et al.. (2017). Gap distribution patterns in the south subtropical evergreen broad-leaved forest of Dinghushan. Biodiversity Science. 25(4). 382–392. 5 indexed citations
17.
Lian, Juyu, Can Chen, Zhongliang Huang, Honglin Cao, & Wanhui Ye. (2015). Community composition and stand age in a subtropical forest, southern China. Biodiversity Science. 23(2). 174–182. 4 indexed citations
18.
Bin, Yue, et al.. (2011). TREE MORTALITY AND RECRUITMENT IN A SUBTROPICAL BROADLEAVED MONSOON FOREST IN SOUTH CHINA. JOURNAL OF TROPICAL FOREST SCIENCE. 23(1). 57–66. 11 indexed citations
19.
Wang, Zhigao, Wanhui Ye, Honglin Cao, et al.. (2009). Species–topography association in a species-rich subtropical forest of China. Basic and Applied Ecology. 10(7). 648–655. 50 indexed citations
20.
Liu, Wei, et al.. (2005). Preparation and Characterization of a Truncated Caricain Lacking 41 Residues from the N-terminal. The Protein Journal. 24(4). 243–251. 1 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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