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:

Projections of precipitation over China based on CMIP6 models
Jiaxi Tian, Zengxin Zhang, Zeeshan Ahmed, et al.
Stochastic Environmental Research and Risk Assessment (2021) Vol. 35, Iss. 4, pp. 831-848
Closed Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

Future changes in precipitation and temperature over the Yangtze River Basin in China based on CMIP6 GCMs
Yanlin Yue, Dan Yan, Qun Yue, et al.
Atmospheric Research (2021) Vol. 264, pp. 105828-105828
Closed Access | Times Cited: 106

Climate change multi-model projections in CMIP6 scenarios in Central Hokkaido, Japan
Shilei Peng, Chunying Wang, Zhan Li, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 46

Contributions of climate change and urbanization to urban flood hazard changes in China's 293 major cities since 1980
Ziyi Tang, Pin Wang, Yao Li, et al.
Journal of Environmental Management (2024) Vol. 353, pp. 120113-120113
Closed Access | Times Cited: 22

Evaluating observed and future spatiotemporal changes in precipitation and temperature across China based on CMIP6‐GCMs
Kaidong Lu, Muhammad Arshad, Xieyao Ma, et al.
International Journal of Climatology (2022) Vol. 42, Iss. 15, pp. 7703-7729
Closed Access | Times Cited: 56

High-resolution CMIP6 climate projections for Ethiopia using the gridded statistical downscaling method
Fasil Mequanint Rettie, Sebastian Gayler, Tobias K. D. Weber, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 27

Predicting suitable habitat for the endangered tree Ormosia microphylla in China
Lijuan Wei, Guohai Wang, Chunping Xie, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12

Ecological risks of PFAS in China’s surface water: A machine learning approach
Xinmiao Huang, Huijuan Wang, Xiaoyong Song, et al.
Environment International (2025) Vol. 196, pp. 109290-109290
Open Access | Times Cited: 1

Assessment of Rainfall and Temperature Trends in the Yellow River Basin, China from 2023 to 2100
Hui Li, Hongxu Mu, Shengqi Jian, et al.
Water (2024) Vol. 16, Iss. 10, pp. 1441-1441
Open Access | Times Cited: 6

Projected global warming-induced terrestrial ecosystem carbon across China under SSP scenarios
Rui Kong, Zengxin Zhang, Richao Huang, et al.
Ecological Indicators (2022) Vol. 139, pp. 108963-108963
Open Access | Times Cited: 25

Projections of rainfall erosivity in climate change scenarios for mainland China
Wenting Wang, Shuiqing Yin, Zeng He, et al.
CATENA (2023) Vol. 232, pp. 107391-107391
Closed Access | Times Cited: 15

Prediction of potential suitable areas forBroussonetia papyriferain China using the MaxEnt model and CIMP6 data
Meiquan Wang, Qingwei Guan
Journal of Plant Ecology (2023) Vol. 16, Iss. 4
Open Access | Times Cited: 13

How Extreme Events in China Would Be Affected by Global Warming—Insights From a Bias‐Corrected CMIP6 Ensemble
Junhong Guo, Xiuquan Wang, Yurui Fan, et al.
Earth s Future (2023) Vol. 11, Iss. 4
Open Access | Times Cited: 13

Future climatic risks faced by the Beautiful China Initiative: A perspective for 2035 and 2050
Ziqiang Ma, Huijuan Cui, Quansheng Ge
Advances in Climate Change Research (2025)
Open Access

The distribution and driving climatic factors of agricultural drought in China: Past and future perspectives
Xin Yu, Qi Zhang, Xueqin Zeng, et al.
Journal of Environmental Management (2025) Vol. 377, pp. 124599-124599
Closed Access

Can CMIP6 Models Accurately Reproduce Terrestrial Evapotranspiration Across China?
Hui Shen, Jianduo Li, Guocan Wu, et al.
International Journal of Climatology (2025)
Closed Access

Research on the risk of rainstorm and flood disasters in Songliao basin based on CMIP6
Jinggang Chu, Wenyu Ouyang, Qian Xin, et al.
Natural Hazards (2025)
Closed Access

Enhanced Three-Dimensional (3D) Drought Tracking for Future Migration Patterns in China Under CMIP6 Projections
Sijia Wu, Ximing Chen, Jiejun Huang, et al.
Water (2025) Vol. 17, Iss. 7, pp. 1099-1099
Open Access

Projected Land Evaporation and Its Response to Vegetation Greening Over China Under Multiple Scenarios in the CMIP6 Models
Jiao Lu, Guojie Wang, Shijie Li, et al.
Journal of Geophysical Research Biogeosciences (2021) Vol. 126, Iss. 9
Closed Access | Times Cited: 29

Future changes in precipitation over the upper Yangtze River basin based on bias correction spatial downscaling of models from CMIP6
Heng Wu, Huimin Lei, Weiwei Lü, et al.
Environmental Research Communications (2022) Vol. 4, Iss. 4, pp. 045002-045002
Open Access | Times Cited: 21

Projection of Future Extreme Precipitation in China Based on the CMIP6 from a Machine Learning Perspective
Yilin Yan, Hao Wang, Guoping Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 4033-4033
Open Access | Times Cited: 20

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