Weiping Hao

2.4k total citations
59 papers, 1.9k citations indexed

About

Weiping Hao is a scholar working on Plant Science, Soil Science and Global and Planetary Change. According to data from OpenAlex, Weiping Hao has authored 59 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 23 papers in Soil Science and 22 papers in Global and Planetary Change. Recurrent topics in Weiping Hao's work include Plant Water Relations and Carbon Dynamics (21 papers), Irrigation Practices and Water Management (17 papers) and Greenhouse Technology and Climate Control (9 papers). Weiping Hao is often cited by papers focused on Plant Water Relations and Carbon Dynamics (21 papers), Irrigation Practices and Water Management (17 papers) and Greenhouse Technology and Climate Control (9 papers). Weiping Hao collaborates with scholars based in China, United States and Denmark. Weiping Hao's co-authors include Daozhi Gong, Xurong Mei, Ningbo Cui, Yu Feng, Haoru Li, Haoru Li, Lili Gao, Jiandong Wang, Fengxue Gu and Lili Gao and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Weiping Hao

58 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiping Hao China 25 856 737 615 265 257 59 1.9k
J. G. Annandale South Africa 24 704 0.8× 582 0.8× 356 0.6× 203 0.8× 150 0.6× 101 1.6k
Xiaotao Hu China 29 1.5k 1.8× 1.2k 1.6× 1.2k 2.0× 322 1.2× 275 1.1× 89 2.8k
Jianqiang He China 35 1.5k 1.8× 892 1.2× 656 1.1× 651 2.5× 205 0.8× 97 2.7k
Vinay Nangia China 23 994 1.2× 704 1.0× 211 0.3× 242 0.9× 379 1.5× 80 2.3k
Marcelo Valadares Galdos Brazil 27 700 0.8× 851 1.2× 253 0.4× 282 1.1× 387 1.5× 56 2.1k
Koffi Djaman United States 29 1.0k 1.2× 1.0k 1.4× 1.2k 1.9× 453 1.7× 351 1.4× 97 2.7k
Mladen Todorović Italy 28 1.3k 1.5× 1.1k 1.6× 1.1k 1.7× 239 0.9× 402 1.6× 75 3.0k
Xurong Mei China 33 1.6k 1.9× 1.7k 2.3× 921 1.5× 597 2.3× 198 0.8× 106 3.7k
Yufeng Luo China 30 802 0.9× 659 0.9× 736 1.2× 80 0.3× 261 1.0× 75 2.1k
Rangjian Qiu China 24 1.4k 1.6× 1.0k 1.4× 1.0k 1.7× 150 0.6× 127 0.5× 79 2.1k

Countries citing papers authored by Weiping Hao

Since Specialization
Citations

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

Fields of papers citing papers by Weiping Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiping Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Weiping Hao. A scholar is included among the top collaborators of Weiping Hao 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 Weiping Hao. Weiping Hao 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.
Wang, Jiawei, Lili Gao, Xuemin Hou, et al.. (2025). Vine age, variety and planting density influencing the effects of water supply on yield and quality of wine grapes—A meta-analysis. Agricultural Water Management. 319. 109768–109768.
2.
Lou, Yilai, Liangshan Feng, Ning Hu, et al.. (2024). Climate-smart agriculture: Insights and challenges. Socio-Environmental Systems Modeling. 1(1). 100003–100003. 24 indexed citations
3.
Gong, Daozhi, et al.. (2024). Enhancing soil water stability and retention through plastic mulching under atypical climatic conditions on the Chinese loess plateau. Agricultural Water Management. 305. 109137–109137. 4 indexed citations
4.
Liu, Shiju, et al.. (2023). Optimizing nitrogen application depth can improve crop yield and nitrogen uptake – A global meta-analysis. Field Crops Research. 295. 108895–108895. 28 indexed citations
6.
Zhou, Wenbin, Chao Wang, Li Li, et al.. (2021). Excessive nitrogen application under moderate soil water deficit decreases photosynthesis, respiration, carbon gain and water use efficiency of maize. Plant Physiology and Biochemistry. 166. 1065–1075. 40 indexed citations
7.
Wang, Chao, Shuxia Wu, Ximei Zhang, et al.. (2018). Stomatal aperture rather than nitrogen nutrition determined water use efficiency of tomato plants under nitrogen fertigation. Agricultural Water Management. 209. 94–101. 41 indexed citations
8.
Gu, Fengxue, Weiping Hao, Xurong Mei, et al.. (2017). Carbon budget of a rainfed spring maize cropland with straw returning on the Loess Plateau, China. The Science of The Total Environment. 586. 1193–1203. 46 indexed citations
9.
Mei, Xurong, et al.. (2017). Ecosystem respiration and its components in a rainfed spring maize cropland in the Loess Plateau, China. Scientific Reports. 7(1). 17614–17614. 15 indexed citations
10.
Yao, Meng, et al.. (2016). Effect of DCPTA on the growth and antioxidant enzyme systems of maize seedlings under drought stress.. Xibei zhiwu xuebao. 36(4). 721–729. 2 indexed citations
11.
Feng, Yu, et al.. (2016). Estimating rainfed spring maize evapotranspiration using modified dual crop coefficient approach based on leaf area index. Nongye Gongcheng Xuebao. 32(9). 98. 16 indexed citations
13.
Bai, Wei, Zhanxiang Sun, Jiaming Zheng, et al.. (2014). Furrow loose and ridge compaction plough layer improves spring maize yield and water use efficiency.. Nongye gongcheng xuebao. 30(21). 81–90. 5 indexed citations
14.
Hao, Weiping. (2013). Dynamics of soil respiration and carbon balance of summer-maize field under different nitrogen addition. Soil and Environmental Sciences. 4 indexed citations
15.
Li, Manman, et al.. (2012). Applicability of simple estimating method for reference crop evapotranspiration in Loess Plateau. Nongye gongcheng xuebao. 2012(6). 4 indexed citations
16.
Li, Manman, et al.. (2012). Parameterization of Ångström-prescott radiation model in Yunnan province. Nongye gongcheng xuebao. 2012(6). 100–105. 1 indexed citations
17.
Gong, Daozhi, et al.. (2012). Comparison of partitioning evapotranspiration composition in maize field using stable isotope and eddy covariance-microlysimeter methods.. Nongye gongcheng xuebao. 28(20). 114–120. 1 indexed citations
18.
Hao, Weiping. (2012). Study on Optimal Sub-division Scheme of Watershed Using SWAT Model——A Case Study in Erhai Basin,Yunnan Province. Zhongguo nongye qixiang. 2 indexed citations
19.
Guo, Rui, Weiping Hao, & Daozhi Gong. (2012). Effects of Water Stress on Germination and Growth of Linseed Seedlings (Linum usitatissimum L), Photosynthetic Efficiency and Accumulation of Metabolites. Journal of Agricultural Science. 4(10). 18 indexed citations
20.
Guo, Rui, Weiping Hao, Daozhi Gong, et al.. (2011). Germination, growth, photosynthesis and ionic balance in Setaria viridis seedlings subjected to saline and alkaline stress. Canadian Journal of Plant Science. 91(6). 1077–1088. 10 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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