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Lijuan Miao

Nanjing University of Information Science and Technology

SCHOLARLY PAPERS

3

DOWNLOADS

184

TOTAL CITATIONS

1

Scholarly Papers (3)

1.

Slightly Enhanced Drought in the Yellow River Basin Under Future Warming Scenarios

Number of pages: 24 Posted: 08 Mar 2022
affiliation not provided to SSRN, Nanjing University of Information Science and Technology, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Fudan University and Nanjing University of Information Science and Technology
Downloads 65 (924,743)
Citation 1

Abstract:

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CMIP6, drought, scPDSI, SSP-RCPs, Yellow River Basin, China

2.

Predicting China's Maize Yield Using Multi-Source Datasets and Machine Learning Algorithms

Number of pages: 33 Posted: 13 Feb 2023
Nanjing University of Information Science and Technology, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Beijing Normal University, Nanjing University of Information Science and Technology, Nanjing University of Information Science and Technology, affiliation not provided to SSRN, Nanjing University of Information Science and Technology, Nanjing University of Information Science and Technology, affiliation not provided to SSRN and Nanjing University of Information Science and Technology
Downloads 63 (933,592)

Abstract:

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China, Maize yield, machine learning, Multi-source datasets, Prediction

3.

Escalating Compound Hot-Dry Extremes across Africa: Spatiotemporal Trends and Emerging Hotspots

Number of pages: 42 Posted: 11 Mar 2026
Nanjing University of Information Science and Technology, Chinese Academy of Meteorological Sciences - State Key Laboratory of Severe Weather, Nanjing University of Information Science and Technology, Nanjing University of Information Science and Technology, Nanjing University of Information Science and Technology, Nanjing University of Information Science and Technology and Nanjing University of Information Science and Technology
Downloads 56 (1,063,489)

Abstract:

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Climate change, compound events, hot-dry extremes, characteristics, Africa