Jun Niu

2.3k total citations
71 papers, 1.9k citations indexed

About

Jun Niu is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Jun Niu has authored 71 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Global and Planetary Change, 39 papers in Water Science and Technology and 14 papers in Environmental Engineering. Recurrent topics in Jun Niu's work include Hydrology and Watershed Management Studies (32 papers), Climate variability and models (25 papers) and Plant Water Relations and Carbon Dynamics (22 papers). Jun Niu is often cited by papers focused on Hydrology and Watershed Management Studies (32 papers), Climate variability and models (25 papers) and Plant Water Relations and Carbon Dynamics (22 papers). Jun Niu collaborates with scholars based in China, Hong Kong and United States. Jun Niu's co-authors include Shaozhong Kang, Bellie Sivakumar, Ji Chen, Taisheng Du, Liqun Sun, Hongna Lu, Ji Chen, Risheng Ding, Sien Li and Keyi Wang and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Jun Niu

70 papers receiving 1.9k citations

Peers

Jun Niu

GPC

WST

Muhammad Jehanzeb Masud Cheema Pakistan

Songhao Shang China

Zailin Huo China

Naresh Devineni United States

Tianling Qin China

Xuezhi Tan China

Dongguo Shao China

Yufeng Luo China

Ian Cordery Australia

Nana Yan China

Muhammad Jehanzeb Masud Cheema Pakistan

Jun Niu

928 ×0.8

GPC

699 ×0.7

WST

490 ×1.2

257 ×0.9

437 ×1.7

Citations per year, relative to Jun Niu Jun Niu (= 1×) peers Muhammad Jehanzeb Masud Cheema

Countries citing papers authored by Jun Niu

Since Specialization

Citations

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

Fields of papers citing papers by Jun Niu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Niu. A scholar is included among the top collaborators of Jun Niu 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 Jun Niu. Jun Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Yang, Tiegui Nan, Xiaolin Yang, et al.. (2025). Climate change impacts on spatiotemporal variability of soybean water demands in North China Plain. Agricultural Water Management. 310. 109381–109381.

Yu, Fang, et al.. (2025). Spatiotemporal dynamics and driving factors of irrigation water demands in China. Agricultural Water Management. 312. 109450–109450. 3 indexed citations

Shaozhong, Kang, et al.. (2024). Spatial-temporal dynamics of meteorological and agricultural drought in Northwest China: Propagation, drivers and prediction. Journal of Hydrology. 650. 132492–132492. 10 indexed citations

Niu, Jun, et al.. (2024). Changing Climate Threatens Irrigation Benefits of Maize Gross Primary Productivity in China. Earth s Future. 12(1). 21 indexed citations

Zhang, Lu, W. J. Davies, Jun Niu, et al.. (2024). Irrigation expansion has kept pace with the CO2 fertilization effect on vegetation growth in a typical arid region. Environmental Sciences Europe. 36(1). 1 indexed citations

Kang, Shaozhong, et al.. (2024). Water-suitable reclamation can mitigate the amplified agricultural water stress driven by climate change in arid inland basin. Journal of Hydrology. 640. 131736–131736. 1 indexed citations

Kang, Shaozhong, et al.. (2023). Accelerated integrated watershed management enhances agricultural carbon sequestration and water use efficiency in an endorheic basin. Resources Conservation and Recycling. 202. 107393–107393. 1 indexed citations

Wang, Chaozi, Jiarong Liu, Helen E. Dahlke, et al.. (2023). Revealing the infiltration process and retention mechanisms of surface applied free DNA tracer through soil under flood irrigation. The Science of The Total Environment. 905. 167378–167378. 1 indexed citations

Shu, Song, et al.. (2023). Projection of net primary production under changing environment in Xinjiang using an improved wCASA model. Journal of Hydrology. 620. 129314–129314. 15 indexed citations

10.

Niu, Jun, et al.. (2022). Effects of Mulching on Maize Yield and Evapotranspiration in the Heihe River Basin, Northwest China. Remote Sensing. 14(3). 700–700. 5 indexed citations

11.

Niu, Jun, et al.. (2022). Three-dimensional linkage between meteorological drought and vegetation drought across China. The Science of The Total Environment. 859(Pt 2). 160300–160300. 41 indexed citations

12.

Zhang, Wenming & Jun Niu. (2021). Parameter estimation of Nash IUH for multiple storm events using particle swarm optimization method. Journal of Physics Conference Series. 2035(1). 12011–12011. 1 indexed citations

13.

Yue, Qiong, Youzhi Wang, Liu Liu, et al.. (2020). Type-2 fuzzy mixed-integer bi-level programming approach for multi-source multi-user water allocation under future climate change. Journal of Hydrology. 591. 125332–125332. 35 indexed citations

14.

Li, Xiaojie, Shaozhong Kang, Jun Niu, Zailin Huo, & Junzhou Liu. (2019). Improving the representation of stomatal responses to CO2 within the Penman–Monteith model to better estimate evapotranspiration responses to climate change. Journal of Hydrology. 572. 692–705. 44 indexed citations

15.

Chen, Yuyao, Jun Niu, Shaozhong Kang, & Xiaotao Zhang. (2018). Effects of irrigation on water and energy balances in the Heihe River basin using VIC model under different irrigation scenarios. The Science of The Total Environment. 645. 1183–1193. 55 indexed citations

16.

Shi, Haiyun, Ji Chen, Keyi Wang, & Jun Niu. (2017). A new method and a new index for identifying socioeconomic drought events under climate change: A case study of the East River basin in China. The Science of The Total Environment. 616-617. 363–375. 104 indexed citations

17.

Niu, Jun, et al.. (2017). The contribution of human agricultural activities to increasing evapotranspiration is significantly greater than climate change effect over Heihe agricultural region. Scientific Reports. 7(1). 8805–8805. 56 indexed citations

18.

Li, Xiaolin, Xiaotao Zhang, Jun Niu, et al.. (2016). Irrigation water productivity is more influenced by agronomic practice factors than by climatic factors in Hexi Corridor, Northwest China. Scientific Reports. 6(1). 37971–37971. 61 indexed citations

19.

Niu, Jun, et al.. (2014). Teleconnection analysis of runoff and soil moisture over the Pearl River basin in southern China. Hydrology and earth system sciences. 18(4). 1475–1492. 45 indexed citations

20.

Niu, Jun, et al.. (2006). Transpiration, and Nitrogen Uptake and Flow in Two Maize (Zea mays L.) Inbred Lines as Affected by Nitrogen Supply. Annals of Botany. 99(1). 153–160. 37 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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