Ning Yao

2.8k total citations
78 papers, 2.1k citations indexed

About

Ning Yao is a scholar working on Global and Planetary Change, Ecology, Evolution, Behavior and Systematics and Water Science and Technology. According to data from OpenAlex, Ning Yao has authored 78 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Global and Planetary Change, 22 papers in Ecology, Evolution, Behavior and Systematics and 17 papers in Water Science and Technology. Recurrent topics in Ning Yao's work include Hydrology and Drought Analysis (27 papers), Climate variability and models (26 papers) and Plant Water Relations and Carbon Dynamics (23 papers). Ning Yao is often cited by papers focused on Hydrology and Drought Analysis (27 papers), Climate variability and models (26 papers) and Plant Water Relations and Carbon Dynamics (23 papers). Ning Yao collaborates with scholars based in China, Australia and Canada. Ning Yao's co-authors include Yi Li, Yi Li, Olusola O. Ayantobo, De Li Liu, Lingling Peng, Tianjie Lei, Songbai Song, Linchao Li, Xinguo Chen and Fenggui Liu and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Hydrology.

In The Last Decade

Ning Yao

70 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Yao China 27 1.4k 487 465 395 310 78 2.1k
John O. Carter Australia 7 879 0.6× 447 0.9× 308 0.7× 276 0.7× 256 0.8× 10 1.8k
Philip G. Oguntunde Nigeria 23 1.0k 0.7× 311 0.6× 240 0.5× 284 0.7× 364 1.2× 68 1.8k
Yun Bai China 25 1.1k 0.8× 377 0.8× 204 0.4× 224 0.6× 276 0.9× 75 1.8k
Herbert Formayer Austria 26 1.3k 0.9× 250 0.5× 301 0.6× 254 0.6× 709 2.3× 92 2.4k
Longhui Li China 29 1.5k 1.1× 434 0.9× 165 0.4× 453 1.1× 376 1.2× 60 2.2k
Guillermo A. Baigorria United States 18 745 0.5× 212 0.4× 800 1.7× 547 1.4× 236 0.8× 38 1.6k
Motoki Nishimori Japan 21 696 0.5× 187 0.4× 646 1.4× 599 1.5× 292 0.9× 62 1.6k
Ana Paula Martins do Amaral Cunha Brazil 22 1.6k 1.1× 703 1.4× 231 0.5× 210 0.5× 415 1.3× 53 2.6k
Hugo Carrão Portugal 13 2.2k 1.6× 504 1.0× 568 1.2× 262 0.7× 740 2.4× 35 3.1k
Vicente de Paulo Rodrigues da Silva Brazil 21 1.1k 0.8× 625 1.3× 167 0.4× 384 1.0× 234 0.8× 97 1.9k

Countries citing papers authored by Ning Yao

Since Specialization
Citations

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

Fields of papers citing papers by Ning Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Yao. A scholar is included among the top collaborators of Ning Yao 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 Ning Yao. Ning Yao 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.
Peng, Yong, et al.. (2025). Spatiotemporal characteristics of drought in the Tarim River Basin from 2000 to 2022 based on the SPEI. Climate Services. 40. 100615–100615.
2.
3.
Xie, Wenxin, Qiao Li, Pingan Jiang, et al.. (2025). Drought evolution and driving mechanisms in the China-Pakistan economic corridor under a changing environment. Journal of Hydrology Regional Studies. 58. 102263–102263. 2 indexed citations
4.
Yao, Ning, Yingnan Wei, Jian Liu, et al.. (2024). Nonlinear water stress response functions can improve the performance of the DSSAT-CERES-Wheat model under water deficit conditions. Agricultural Water Management. 307. 109235–109235. 3 indexed citations
5.
Tian, Qi, Gang Zhao, Changqing Yan, et al.. (2024). Enhancing practicality of deep learning for crop disease identification under field conditions: insights from model evaluation and crop‐specific approaches. Pest Management Science. 80(11). 5864–5875. 8 indexed citations
6.
Wang, Xiaoyong, Zhi Yu, Zhang De, et al.. (2024). Predicting green tea moisture content during roasting by shape feature. Journal of Food Engineering. 383. 112250–112250. 6 indexed citations
7.
8.
Li, Yi, Ke Chen, Jianqiang He, et al.. (2023). Forecasting Monthly Water Deficit Based on Multi-Variable Linear Regression and Random Forest Models. Water. 15(6). 1075–1075. 8 indexed citations
9.
Li, Linchao, Yan Zhang, Bin Wang, et al.. (2023). Integrating machine learning and environmental variables to constrain uncertainty in crop yield change projections under climate change. European Journal of Agronomy. 149. 126917–126917. 29 indexed citations
10.
Zhang, Xuan, Ning Yao, Asim Biswas, et al.. (2022). Differences in Spatiotemporal Variability of Potential and Reference Crop Evapotranspirations. Water. 14(6). 988–988. 1 indexed citations
11.
Li, Yi, Ning Yao, De Li Liu, et al.. (2022). Projected dry/wet regimes in China using SPEI under four SSP‐RCPs based on statistically downscaled CMIP6 data. International Journal of Climatology. 42(16). 9357–9384. 15 indexed citations
12.
Zhang, Qingfeng, Yi Li, Ning Yao, et al.. (2022). Impacts of Different Socioeconomic Development Levels on Extremely Wet/Dry Events in Mainland China. Water. 14(23). 3950–3950. 2 indexed citations
13.
14.
Ma, Haijiao, Robert W. Malone, Tengcong Jiang, et al.. (2020). Estimating crop genetic parameters for DSSAT with modified PEST software. European Journal of Agronomy. 115. 126017–126017. 39 indexed citations
15.
Li, Yi, et al.. (2020). Spatiotemporal variability of standardized precipitation evapotranspiration index in mainland China over 1961–2016. International Journal of Climatology. 40(11). 4781–4799. 27 indexed citations
16.
Yao, Ning, Yi Li, Asim Biswas, et al.. (2020). National-Scale Variation and Propagation Characteristics of Meteorological, Agricultural, and Hydrological Droughts in China. Remote Sensing. 12(20). 3407–3407. 45 indexed citations
17.
Yao, Ning, Yi Li, Qin’ge Dong, et al.. (2019). Influence of the accuracy of reference crop evapotranspiration on drought monitoring using standardized precipitation evapotranspiration index in mainland China. Land Degradation and Development. 31(2). 266–282. 33 indexed citations
18.
Yao, Ning, Linchao Li, Puyu Feng, et al.. (2019). Projections of drought characteristics in China based on a standardized precipitation and evapotranspiration index and multiple GCMs. The Science of The Total Environment. 704. 135245–135245. 173 indexed citations
19.
Li, Na, Yi Li, & Ning Yao. (2018). Bias correction of the observed daily precipitation and re‐division of climatic zones in China. International Journal of Climatology. 38(8). 3369–3387. 20 indexed citations
20.
Yao, Ning, Yi Li, Na Li, Daqing Yang, & Olusola O. Ayantobo. (2018). Bias correction of precipitation data and its effects on aridity and drought assessment in China over 1961–2015. The Science of The Total Environment. 639. 1015–1027. 49 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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