Kun Song

2.4k total citations
77 papers, 1.5k citations indexed

About

Kun Song is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Kun Song has authored 77 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Nature and Landscape Conservation, 21 papers in Global and Planetary Change and 18 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Kun Song's work include Ecology and Vegetation Dynamics Studies (26 papers), Plant and animal studies (10 papers) and Land Use and Ecosystem Services (10 papers). Kun Song is often cited by papers focused on Ecology and Vegetation Dynamics Studies (26 papers), Plant and animal studies (10 papers) and Land Use and Ecosystem Services (10 papers). Kun Song collaborates with scholars based in China, United States and Netherlands. Kun Song's co-authors include Liangjun Da, Junying Wang, Bai-Lian Li, Zhiyao Tang, Jingyun Fang, Shuqing Zhao, Ann Marie Fiore, Ji-Hye Park, Rosalind C. Paige and Mary A. Littrell and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Kun Song

72 papers receiving 1.5k citations

Peers

Kun Song

GPC

HTM

NLC

ECOLO

Neil D. Bettez United States

Boris Sakschewski Germany

Alexandre Chausson United Kingdom

Mitchell Pavao‐Zuckerman United States

Beth Turner United Kingdom

Emma H. van der Zanden Netherlands

Todd K. BenDor United States

Małgorzata Blicharska Sweden

Simon Willcock United Kingdom

Sander Jacobs Belgium

Neil D. Bettez United States

Kun Song

714 ×1.3

GPC

450 ×1.3

HTM

291 ×0.8

NLC

480 ×1.9

ECOLO

385 ×1.8

Citations per year, relative to Kun Song Kun Song (= 1×) peers Neil D. Bettez

Countries citing papers authored by Kun Song

Since Specialization

Citations

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

Fields of papers citing papers by Kun Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Song

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Pan, Yu, et al.. (2025). CO2 capture performance of K2CO3-activated biochars derived from the textile dyeing sludge and corncob. Journal of CO2 Utilization. 95. 103079–103079. 1 indexed citations

Song, Kun, Jian Zhang, En‐Rong Yan, Xihua Wang, & Song Yongchang. (2024). EcoFloVCS: An eco‐physiognomic‐floristic vegetation classification system. Applied Vegetation Science. 27(4). 1 indexed citations

Meng, Ran, et al.. (2024). Morphological studies on leaf epidermis in six species of Nekemias Raf. (Vitaceae) from China. Phytotaxa. 642(4). 255–264. 1 indexed citations

Pan, Yu, Pei Li, Kun Song, et al.. (2023). New model for evaluating greenhouse gas emissions from sludge treatment based on fossil and biogenic carbon migration. Journal of Cleaner Production. 425. 138845–138845. 8 indexed citations

Huang, Li, Jin Cheng, Ying Pan, et al.. (2023). Human activities and species biological traits drive the long-term persistence of old trees in human-dominated landscapes. Nature Plants. 9(6). 898–907. 22 indexed citations

Chen, Xing, et al.. (2023). Importance of collection strategy on detection probability and species diversity of epiphyllous liverworts. Biodiversity Science. 31(4). 22685–22685.

Chen, Xing, et al.. (2022). Species diversity of epiphyllous liverworts and host plants in the Wuyanling National Nature Reserve, Zhejiang Province. Biodiversity Science. 30(1). 21229–21229. 2 indexed citations

Cheng, Jin, Li Huang, Junlong Huang, et al.. (2022). Characterizing composition profile and diversity patterns of spontaneous urban plants across China's major cities. Journal of Environmental Management. 317. 115445–115445. 23 indexed citations

Pan, Ying, et al.. (2022). Consistent temperature-dependent patterns of leaf lifespan across spatial and temporal gradients for deciduous trees in Europe. The Science of The Total Environment. 820. 153175–153175. 2 indexed citations

10.

Huang, Li, Jin Cheng, Kun Song, et al.. (2021). Benefit versus cost trade‐offs of masting across seed‐to‐seedling transition for a dominant subtropical forest species. Journal of Ecology. 109(8). 3087–3098. 12 indexed citations

11.

Cheng, Jin, Li Huang, Junlong Huang, et al.. (2021). Landscape plants in major Chinese cities: Diverse origins and climatic congruence vis-à-vis climate change resilience. Urban forestry & urban greening. 64. 127292–127292. 5 indexed citations

12.

Tang, Cindy Q., Yongchuan Yang, Arata Momohara, et al.. (2019). Forest characteristics and population structure of Glyptostrobus pensilis, a globally endangered relict species of southeastern China. Plant Diversity. 41(4). 237–249. 17 indexed citations

13.

Chen, Xiaohong, Hong Liang, Kun Song, & Liangjun Da. (2014). [Diversity and classification system of weed community in Harbin City, China].. PubMed. 25(8). 2221–8. 5 indexed citations

14.

Li, Fenghua, et al.. (2013). Geographical element of moss in Maotai Wine Industrial Ecology Protected Zone,Guizhou province. Guangdong nongye kexue. 40(9). 171–173. 1 indexed citations

15.

Song, Kun, et al.. (2009). [Homogenization of plant diversity in Shanghai residential areas].. PubMed. 20(7). 1603–7. 4 indexed citations

16.

Qin, Jun, et al.. (2009). Fallen temperature effects at green patches of urban residential areas and analysis of its influence factors.. Zhiwu ziyuan yu huanjing. 18(3). 50–55. 3 indexed citations

17.

Song, Kun, et al.. (2008). Experimental ecology research on destroyed evergreen broad-leaved forests in TNFP, Zhejiang (II)：The growth patterns of dominate evergreen trees obtained by tree ring analysis(Chinese). Huadong Shifan Daxue xuebao. Ziran kexue ban. 2008(4). 12. 3 indexed citations

18.

Da, Liangjun & Kun Song. (2008). Experimental ecology research on destroyed evergreen broad-leaved forests in TNFP, Zhejiang(I): Ecological restoration experiments and long-term ecological study(Chinese). Huadong Shifan Daxue xuebao. Ziran kexue ban. 2008(4). 1. 4 indexed citations

19.

Wang, Junying, Liangjun Da, Kun Song, & Bai-Lian Li. (2007). Temporal variations of surface water quality in urban, suburban and rural areas during rapid urbanization in Shanghai, China. Environmental Pollution. 152(2). 387–393. 209 indexed citations

20.

Imerman, Paula M., et al.. (2005). Cotton Liners to Mediate Glove Comfort for Greenhouse Applicators. Archives of Environmental Contamination and Toxicology. 49(3). 421–428. 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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