Cuina Li

534 total citations
22 papers, 408 citations indexed

About

Cuina Li is a scholar working on Atmospheric Science, Molecular Biology and Plant Science. According to data from OpenAlex, Cuina Li has authored 22 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atmospheric Science, 6 papers in Molecular Biology and 6 papers in Plant Science. Recurrent topics in Cuina Li's work include Remote Sensing in Agriculture (4 papers), Smart Agriculture and AI (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Cuina Li is often cited by papers focused on Remote Sensing in Agriculture (4 papers), Smart Agriculture and AI (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Cuina Li collaborates with scholars based in China. Cuina Li's co-authors include Zhenghong Yu, Zhiguo Cao, Xiaodong Bai, Huabing Zhou, Gaohong He, Lingling Zhang, Wei Zhao, Hongjing Liu, Jia Ju and Fei Nie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Journal of Medicinal Chemistry.

In The Last Decade

Cuina Li

18 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cuina Li China 8 188 96 84 74 73 22 408
Yanan 10 101 0.5× 18 0.2× 32 0.4× 18 0.2× 57 0.8× 85 401
Xuehan Li China 11 119 0.6× 19 0.2× 68 0.8× 10 0.1× 41 0.6× 37 421
Xiaohao Li China 10 45 0.2× 28 0.3× 13 0.2× 12 0.2× 71 1.0× 56 346
Lizeng Wang China 10 32 0.2× 25 0.3× 53 0.6× 4 0.1× 36 0.5× 33 520
Xianxian He China 8 40 0.2× 20 0.2× 20 0.2× 32 0.4× 196 2.7× 16 410
Haonan Zheng China 13 53 0.3× 38 0.4× 6 0.1× 5 0.1× 42 0.6× 37 373
Yi Xiong China 11 48 0.3× 6 0.1× 15 0.2× 38 0.5× 78 1.1× 24 403
Zhiren Zhu China 12 28 0.1× 8 0.1× 23 0.3× 11 0.1× 83 1.1× 32 487
Jinglin Gao China 15 49 0.3× 9 0.1× 25 0.3× 17 0.2× 32 0.4× 64 571
Yasuyuki Nemoto Japan 11 121 0.6× 29 0.3× 17 0.2× 7 0.1× 275 3.8× 32 464

Countries citing papers authored by Cuina Li

Since Specialization
Citations

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

Fields of papers citing papers by Cuina Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuina Li

This figure shows the co-authorship network connecting the top 25 collaborators of Cuina Li. A scholar is included among the top collaborators of Cuina 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 Cuina Li. Cuina 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.
Guo, Xiaozhen, Zixuan Zhang, Cuina Li, et al.. (2025). Lipidomics reveals potential biomarkers and pathophysiological insights in the progression of diabetic kidney disease. Metabolism Open. 25. 100354–100354.
2.
Zhou, Qing, Lijuan Shi, Cuina Li, et al.. (2025). A Machine Learning-Based Quality Control Algorithm for Heavy Rainfall Using Multi-Source Data. Remote Sensing. 17(24). 3976–3976.
3.
Wang, Su, Tie Dai, Xiangao Xia, et al.. (2025). Online-Coupled Aerosol Effects on Cloud Microphysics and Surface Solar Irradiance in WRF-Solar. Remote Sensing. 17(16). 2829–2829.
4.
Wang, Su, Gang Huang, Tie Dai, et al.. (2025). Investigating the role of aerosol wet scavenging on global horizontal irradiance simulation in the WRF-Chem-solar model. Applied Energy. 396. 126062–126062. 2 indexed citations
5.
Liu, Yiting, Qinxue Wang, Jinyu Ma, et al.. (2025). Discovery of Novel Sulfonylurea NLRP3 Inflammasome Inhibitor for the Treatment of Multiple Inflammatory Diseases. Journal of Medicinal Chemistry. 68(7). 7243–7262. 4 indexed citations
7.
Wang, Yibin, Kanglong Wang, Cuina Li, et al.. (2024). Variations in Gut Microbiome Profiles Based on Different DNA Extraction Methods: A Comparative Study. SHILAP Revista de lepidopterología. 2024. 1–12. 3 indexed citations
8.
Guo, Xiaozhen, Jiawen Wang, Hualing Xu, et al.. (2023). Obesity induced disruption on diurnal rhythm of insulin sensitivity via gut microbiome-bile acid metabolism. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1869(1). 159419–159419. 6 indexed citations
9.
Yu, Zhenghong, et al.. (2023). TasselLFANet: a novel lightweight multi-branch feature aggregation neural network for high-throughput image-based maize tassels detection and counting. Frontiers in Plant Science. 14. 1158940–1158940. 25 indexed citations
10.
Xu, Hualing, Jiawen Wang, Yameng Liu, et al.. (2023). Development of a simultaneous quantification method for the gut microbiota-derived core nutrient metabolome in mice and its application in studying host-microbiota interaction. Analytica Chimica Acta. 1251. 341039–341039. 4 indexed citations
11.
Liu, Yameng, Hualing Xu, Xinyu Liang, et al.. (2022). Limosilactobacillus reuteri and caffeoylquinic acid synergistically promote adipose browning and ameliorate obesity-associated disorders. Microbiome. 10(1). 226–226. 34 indexed citations
12.
Zhang, Chenlu, Yameng Liu, Ying Wang, et al.. (2022). Discovery of Betulinic Acid Derivatives as Potent Intestinal Farnesoid X Receptor Antagonists to Ameliorate Nonalcoholic Steatohepatitis. Journal of Medicinal Chemistry. 65(19). 13452–13472. 21 indexed citations
13.
Wang, Su, Tie Dai, Cuina Li, et al.. (2022). Improving Clear-Sky Solar Power Prediction over China by Assimilating Himawari-8 Aerosol Optical Depth with WRF-Chem-Solar. Remote Sensing. 14(19). 4990–4990. 6 indexed citations
14.
Li, Cuina, Tianqi Liu, & Dongli Wu. (2019). Study on Anomaly Data Detection Method for Automatic Soil Moisture Observation. 36. 1–4. 1 indexed citations
15.
Yu, Zhenghong, Cuina Li, & Guangyu Shi. (2018). Environmentally adaptive crop extraction for agricultural automation using super-pixel and LAB Gaussian model. 63–63. 4 indexed citations
16.
Yu, Zhenghong, Huabing Zhou, & Cuina Li. (2018). An image-based automatic recognition method for the flowering stage of maize. 46–46. 4 indexed citations
17.
Bai, Xiaodong, et al.. (2018). Rice heading stage automatic observation by multi-classifier cascade based rice spike detection method. Agricultural and Forest Meteorology. 259. 260–270. 64 indexed citations
18.
Li, Jiaojiao, et al.. (2018). AtCaM4 interacts with a Sec14-like protein, PATL1, to regulate freezing tolerance in Arabidopsis in a CBF-independent manner. Journal of Experimental Botany. 69(21). 5241–5253. 51 indexed citations
19.
Li, Cuina, et al.. (2016). Accuracy Evaluation of Summer Maize Coverage and Leaf Area Index Inversion Based on Images Extraction Technology. Zhongguo nongye qixiang. 37(4). 479. 3 indexed citations
20.
Zhao, Wei, Gaohong He, Lingling Zhang, et al.. (2010). Effect of water in ionic liquid on the separation performance of supported ionic liquid membrane for CO2/N2. Journal of Membrane Science. 350(1-2). 279–285. 98 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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