Chaofan Li

2.0k total citations
93 papers, 1.6k citations indexed

About

Chaofan Li is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Chaofan Li has authored 93 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Global and Planetary Change, 49 papers in Atmospheric Science and 11 papers in Oceanography. Recurrent topics in Chaofan Li's work include Climate variability and models (54 papers), Meteorological Phenomena and Simulations (34 papers) and Plant Water Relations and Carbon Dynamics (25 papers). Chaofan Li is often cited by papers focused on Climate variability and models (54 papers), Meteorological Phenomena and Simulations (34 papers) and Plant Water Relations and Carbon Dynamics (25 papers). Chaofan Li collaborates with scholars based in China, United Kingdom and Germany. Chaofan Li's co-authors include Riyu Lu, Geping Luo, Qifei Han, Buwen Dong, Adam A. Scaife, Chi Zhang, Xi Chen, Nick Dunstone, Багила Майсупова and Philip E. Bett and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Chaofan Li

91 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaofan Li China 24 1.2k 748 243 235 186 93 1.6k
Stuart Varney 2 941 0.8× 587 0.8× 156 0.6× 129 0.5× 133 0.7× 2 1.5k
Yan Yu China 23 1.3k 1.1× 973 1.3× 263 1.1× 392 1.7× 148 0.8× 66 2.0k
Bingjun Liu China 26 1.1k 0.9× 516 0.7× 186 0.8× 172 0.7× 287 1.5× 102 1.6k
Weidong Guo China 29 2.2k 1.9× 1.7k 2.3× 292 1.2× 172 0.7× 418 2.2× 128 2.9k
Fang Zhao China 16 1.4k 1.2× 487 0.7× 202 0.8× 89 0.4× 234 1.3× 42 1.9k
Xiaomei Yang China 24 718 0.6× 435 0.6× 573 2.4× 84 0.4× 203 1.1× 87 1.5k
Dirk Eilander Netherlands 21 1.1k 0.9× 721 1.0× 229 0.9× 125 0.5× 142 0.8× 57 1.7k
Shuhua Qi China 20 892 0.8× 333 0.4× 614 2.5× 119 0.5× 331 1.8× 49 1.6k

Countries citing papers authored by Chaofan Li

Since Specialization
Citations

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

Fields of papers citing papers by Chaofan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaofan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chaofan Li. A scholar is included among the top collaborators of Chaofan Li 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 Chaofan Li. Chaofan Li 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.
Zhang, Yuwen, et al.. (2025). Deciphering aquaporin-4’s influence on perivascular diffusion indices using DTI in rat stroke studies. Frontiers in Neuroscience. 19. 1566957–1566957. 4 indexed citations
2.
Scaife, Adam A., Nick Dunstone, Steven C. Hardiman, et al.. (2024). ENSO affects the North Atlantic Oscillation 1 year later. Science. 386(6717). 82–86. 12 indexed citations
3.
Li, Chaofan, et al.. (2024). Integrating Cost-Effective Measurements and CFD Modeling for Accurate Air Quality Assessment. Atmosphere. 15(9). 1056–1056. 3 indexed citations
4.
Li, Chaofan, et al.. (2024). Application of CFD Modelling for Pollutant Dispersion at an Urban Traffic Hotspot. Atmosphere. 15(1). 113–113. 19 indexed citations
5.
Yang, Fan, Ali Mamtimin, Jiacheng Gao, et al.. (2023). Farmland Carbon and Water Exchange and Its Response to Environmental Factors in Arid Northwest China. Land. 12(11). 1988–1988. 1 indexed citations
6.
Dunstone, Nick, Doug Smith, Steven C. Hardiman, et al.. (2023). Skilful predictions of the Summer North Atlantic Oscillation. Communications Earth & Environment. 4(1). 25 indexed citations
7.
Zhang, Wenqiang, Geping Luo, Xiuliang Yuan, et al.. (2023). New data‐driven method for estimation of net ecosystem carbon exchange at meteorological stations effectively increases the global carbon flux data. Methods in Ecology and Evolution. 14(9). 2449–2463. 14 indexed citations
8.
Zheng, Fei, Shuai Hu, Jiehua Ma, et al.. (2023). Will the Globe Encounter the Warmest Winter after the Hottest Summer in 2023?. Advances in Atmospheric Sciences. 41(4). 581–586. 11 indexed citations
9.
Bett, Philip E., Nick Dunstone, Nicola Golding, Doug Smith, & Chaofan Li. (2023). Skilful Forecasts of Summer Rainfall in the Yangtze River Basin from November. Advances in Atmospheric Sciences. 40(11). 2082–2091. 2 indexed citations
10.
Jain, Shipra, Ruth M. Doherty, David M. H. Sexton, et al.. (2022). Future projections of daily haze-conducive and clear weather conditions over the North China Plain using a perturbed parameter ensemble. Atmospheric chemistry and physics. 22(11). 7443–7460.
11.
Luo, Geping, et al.. (2022). Net carbon flux from cropland changes in the Central Asian Aral Sea Basin. Journal of Environmental Management. 314. 115078–115078. 3 indexed citations
12.
Doherty, Ruth M., Carlos Ordóñez, Chaofan Li, et al.. (2022). The impact of large-scale circulation on daily fine particulate matter (PM 2.5 ) over major populated regions of China in winter. Atmospheric chemistry and physics. 22(10). 6471–6487. 9 indexed citations
13.
Chen, Tiexi, Qingyun Yan, Miaoni Gao, et al.. (2021). The Ongoing Greening in Southwest China despite Severe Droughts and Drying Trends. Remote Sensing. 13(17). 3374–3374. 10 indexed citations
14.
He, Huili, Rafiq Hamdi, Geping Luo, et al.. (2021). Numerical study on the climatic effect of the Aral Sea. Atmospheric Research. 268. 105977–105977. 9 indexed citations
15.
Pan, Honglin, Xinghua Yang, Kanike Raghavendra Kumar, et al.. (2020). A 10-year climatology of globally distributed ice cloud properties inferred from the CALIPSO observations. 1 indexed citations
16.
Li, Chaofan, et al.. (2019). The response of carbon stocks of drylands in Central Asia to changes of CO2 and climate during past 35 years. The Science of The Total Environment. 687. 330–340. 32 indexed citations
17.
Yang, Fan, Jianping Huang, Chenglong Zhou, et al.. (2019). Taklimakan desert carbon-sink decreases under climate change. Science Bulletin. 65(6). 431–433. 23 indexed citations
18.
Huang, Gang, et al.. (2017). Interannual variation of precipitation over the Hengduan Mountains during rainy season. International Journal of Climatology. 38(4). 2112–2125. 27 indexed citations
19.
Wang, Xiyang, Dongsheng Yu, Chaofan Li, et al.. (2016). Characteristics of Variations in the Organic Carbon Fractions in Paddy Soils. Soil Science Society of America Journal. 80(4). 983–991. 9 indexed citations
20.
Luo, Geping, et al.. (2014). Simulation of Carbon Trend in Forest Ecosystem in Northern Slope of the Tianshan Mountains Based on Biome-BGC Model. 31(3). 375–382. 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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