Lijuan Miao

2.3k total citations · 2 hit papers
73 papers, 1.6k citations indexed

About

Lijuan Miao is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Lijuan Miao has authored 73 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Global and Planetary Change, 18 papers in Ecology and 18 papers in Atmospheric Science. Recurrent topics in Lijuan Miao's work include Climate variability and models (17 papers), Remote Sensing in Agriculture (14 papers) and Land Use and Ecosystem Services (11 papers). Lijuan Miao is often cited by papers focused on Climate variability and models (17 papers), Remote Sensing in Agriculture (14 papers) and Land Use and Ecosystem Services (11 papers). Lijuan Miao collaborates with scholars based in China, Germany and Australia. Lijuan Miao's co-authors include Xuefeng Cui, Bin He, Zhanli Sun, Shu Cai, Daniel Müller, Kaushal Raj Gnyawali, Feng Zhang, Guojie Wang, John C. Moore and Yongming Zhao and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Journal of The Electrochemical Society.

In The Last Decade

Lijuan Miao

72 papers receiving 1.6k citations

Hit Papers

Understanding climate change impacts on drought in China ... 2024 2026 2025 2024 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lijuan Miao China 26 930 334 331 215 193 73 1.6k
Georgeta Bandoc Romania 19 597 0.6× 331 1.0× 143 0.4× 137 0.6× 179 0.9× 32 1.5k
Ning Chen China 25 896 1.0× 533 1.6× 391 1.2× 266 1.2× 110 0.6× 138 1.8k
Jie Gong China 17 939 1.0× 465 1.4× 216 0.7× 169 0.8× 189 1.0× 43 1.7k
Jiaxin Jin China 22 732 0.8× 457 1.4× 420 1.3× 412 1.9× 278 1.4× 94 1.9k
Junyi Liang China 23 650 0.7× 694 2.1× 388 1.2× 265 1.2× 158 0.8× 84 2.0k
Neil Leary United States 9 735 0.8× 273 0.8× 378 1.1× 221 1.0× 156 0.8× 15 1.7k
Yuting Zhou China 23 949 1.0× 933 2.8× 367 1.1× 253 1.2× 239 1.2× 54 1.7k
Yun Wei China 16 791 0.9× 208 0.6× 422 1.3× 90 0.4× 98 0.5× 40 1.4k
Mary E. Manning United States 7 582 0.6× 326 1.0× 369 1.1× 124 0.6× 126 0.7× 10 1.4k

Countries citing papers authored by Lijuan Miao

Since Specialization
Citations

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

Fields of papers citing papers by Lijuan Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijuan Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Lijuan Miao. A scholar is included among the top collaborators of Lijuan Miao 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 Lijuan Miao. Lijuan Miao 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.
Du, Pei, Qian Wang, Lijuan Miao, et al.. (2025). Development and characterization of bacterial wilt-resistant synthetic polyploid peanuts. The Crop Journal. 13(1). 125–134. 3 indexed citations
2.
Kattel, Giri, et al.. (2024). Enhancing Maize Yield Simulations in Regional China Using Machine Learning and Multi-Data Resources. Remote Sensing. 16(4). 701–701. 4 indexed citations
3.
Miao, Lijuan, Lei Ju, Shao Sun, et al.. (2024). Unveiling the dynamics of sequential extreme precipitation-heatwave compounds in China. npj Climate and Atmospheric Science. 7(1). 44 indexed citations breakdown →
4.
Yu, Zhiwei, Lijuan Miao, Qiang Liu, et al.. (2024). Uncovering the impact of multiple determinants on vegetation NPP in Inner Mongolia. Global Ecology and Conservation. 56. e03341–e03341. 3 indexed citations
5.
Li, Shijie, Guojie Wang, Yuanfang Chai, et al.. (2023). Increasing vapor pressure deficit accelerates land drying. Journal of Hydrology. 625. 130062–130062. 19 indexed citations
6.
Qi, Feiyan, Qin Li, Ziqi Sun, et al.. (2023). Mapping of a QTL associated with sucrose content in peanut kernels using BSA-seq. Frontiers in Genetics. 13. 1089389–1089389. 16 indexed citations
7.
Zhang, Hui, Giri Kattel, Guojie Wang, et al.. (2023). Enhanced soil moisture improves vegetation growth in an arid grassland of Inner Mongolia Autonomous Region, China. Journal of Arid Land. 15(7). 871–885. 8 indexed citations
8.
Qi, Feiyan, Ziqi Sun, Hua Liu, et al.. (2022). QTL identification, fine mapping, and marker development for breeding peanut (Arachis hypogaea L.) resistant to bacterial wilt. Theoretical and Applied Genetics. 135(4). 1319–1330. 16 indexed citations
9.
Yu, Zhen, Xiaobin Jin, Lijuan Miao, & Xuhong Yang. (2021). A historical reconstruction of cropland in China from 1900 to 2016. Earth system science data. 13(7). 3203–3218. 34 indexed citations
10.
Miao, Lijuan, Zhihong Jiang, Guojie Wang, et al.. (2020). Projected drought conditions in Northwest China with CMIP6 models under combined SSPs and RCPs for 2015–2099. RePEc: Research Papers in Economics. 210–217. 2 indexed citations
11.
Zhang, Feng, et al.. (2019). Simulation of Daily Precipitation from CMIP5 in the Qinghai-Tibet Plateau. SOLA. 15(0). 68–74. 7 indexed citations
12.
Huang, Bingyan, Feiyan Qi, Lijuan Miao, et al.. (2019). Improvement of oleic acid content in peanut (Arachis hypogaea L.) by marker assisted successive backcross and agronomic evaluation of derived lines. ACTA AGRONOMICA SINICA. 45(4). 546–555. 2 indexed citations
13.
Ma, Meihong, Huixiao Wang, Pengfei Jia, et al.. (2018). Investigation of inducements and defenses of flash floods and urban waterlogging in Fuzhou, China, from 1950 to 2010. Natural Hazards. 91(2). 803–818. 27 indexed citations
14.
Luan, Yibo, et al.. (2017). A new global anthropogenic heat estimation based on high-resolution nighttime light data. Scientific Data. 4(1). 170116–170116. 60 indexed citations
15.
Miao, Lijuan, Daniel Müller, Xuefeng Cui, & Meihong Ma. (2017). Changes in vegetation phenology on the Mongolian Plateau and their climatic determinants. PLoS ONE. 12(12). e0190313–e0190313. 48 indexed citations
16.
Miao, Lijuan. (2014). Effects of Exogenous IAA on Photosynthetic Characteristics and Antioxidative System in Cucumis sativus Seedlings under NaHCO_3 Stress. PLANT PHYSIOLOGY. 1 indexed citations
17.
Yu, Kunyong, et al.. (2012). Algorithm and Application Analysis of Film-Based & Class-Oriented for Bamboo Forest Information Extraction. Acta Scientiarum Naturalium Universitatis Sunyatseni. 51(1). 89. 2 indexed citations
18.
Yu, Kunyong, et al.. (2010). Study on the wind-prevention and sand-fixation benefit of the coastal shelterbelt forest based on remote sensing technology.. Nanjing Linye Daxue xuebao. 34(1). 80–84. 1 indexed citations
19.
Miao, Lijuan. (2009). Study on Bamboo Resources Thematic Information Extraction in the South of China. Yaogan jishu yu yingyong. 2 indexed citations
20.
Miao, Lijuan, et al.. (2009). Preparation and characterization of nanostructured ZnO thin film by electrophoretic deposition from ZnO colloidal suspensions. Journal of Alloys and Compounds. 490(1-2). 422–426. 25 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026