OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Moving north in China: The habitat of Pedicularis kansuensis in the context of climate change
Dan Wang, Bochao Cui, Susu Duan, et al.
The Science of The Total Environment (2019) Vol. 697, pp. 133979-133979
Closed Access | Times Cited: 59

Showing 26-50 of 59 citing articles:

Spatiotemporal Pattern of Invasive Pedicularis in the Bayinbuluke Land, China, during 2019–2021: An Analysis Based on PlanetScope and Sentinel-2 Data
Wuhua Wang, Jiakui Tang, Na Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4383-4383
Open Access | Times Cited: 7

Spatiotemporal distribution prediction of the relict and endangered plant Tetraena mongolica in inner Mongolia, China under climate change
Jingxia Guo, Mingxu Zhang, Yaqiong Bi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

Predicting the Potential Distribution of Perennial Plant Coptis chinensis Franch. in China under Multiple Climate Change Scenarios
Qian Zhao, Yuan Zhang, Wen-Na Li, et al.
Forests (2021) Vol. 12, Iss. 11, pp. 1464-1464
Open Access | Times Cited: 15

Predicting the potential distribution of four endangered holoparasites and their primary hosts in China under climate change
Xin Lu, Ruoyan Jiang, Guangfu Zhang
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 9

Implications of climate change for environmental niche overlap between fiveCuscutapest species and their two main Leguminosae host crop species
Chaonan Cai, Jianhua Xiao, Ji‐Zhong Wan, et al.
Weed Science (2022) Vol. 70, Iss. 5, pp. 543-552
Open Access | Times Cited: 9

Vulnerability and driving mechanism of four typical grasslands in China under the coupled impacts of climate change and human activities
Wen‐Wen Guo, Lei Jin, Xiang Liu, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175560-175560
Closed Access | Times Cited: 1

Seed Germination Ecology of Semiparasitic Weed Pedicularis kansuensis in Alpine Grasslands
Jiedong Hu, Kaihui Li, Chengjun Deng, et al.
Plants (2022) Vol. 11, Iss. 13, pp. 1777-1777
Open Access | Times Cited: 6

Maximum Entropy Modeling for the Prediction of Potential Plantation Distribution of Arabica coffee under the CMIP6 Mode in Yunnan, Southwest China
Shuo Zhang, Biying Liu, Xiaogang Liu, et al.
Atmosphere (2022) Vol. 13, Iss. 11, pp. 1773-1773
Open Access | Times Cited: 6

Predicting the Effects of Future Climate Change on the Potential Distribution of Eolagurus luteus in Xinjiang
Qinghui An, Jianghua Zheng, Jingyun Guan, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 7916-7916
Open Access | Times Cited: 2

Two Species Delimitation of Pseudaulacaspis (Hemiptera: Diaspididae) Based on Morphology, Molecular Clustering, and Niche Differentiation
Yunyun Lu, Shuqun Deng, Minmin Niu, et al.
Insects (2023) Vol. 14, Iss. 8, pp. 666-666
Open Access | Times Cited: 2

Climate Change and Dispersal Ability Jointly Affects the Future Distribution of Crocodile Lizards
Xiaoli Zhang, Facundo Alvarez, Martin J. Whiting, et al.
Animals (2022) Vol. 12, Iss. 20, pp. 2731-2731
Open Access | Times Cited: 4

Predicting the potential distribution of the parasitic Cuscuta chinensis under global warming
Zichun Ren, Lyuben Zagorchev, Junxia Ma, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 5

Mapping Invasive Species Pedicularis and Background Grassland Using UAV and Machine Learning Algorithms
Jin Zhao, Kaihui Li, Jiarong Zhang, et al.
Drones (2024) Vol. 8, Iss. 11, pp. 639-639
Open Access

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