Zhenhua Wang

3.3k total citations
183 papers, 2.5k citations indexed

About

Zhenhua Wang is a scholar working on Soil Science, Plant Science and Civil and Structural Engineering. According to data from OpenAlex, Zhenhua Wang has authored 183 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Soil Science, 66 papers in Plant Science and 31 papers in Civil and Structural Engineering. Recurrent topics in Zhenhua Wang's work include Irrigation Practices and Water Management (81 papers), Soil erosion and sediment transport (26 papers) and Soil and Unsaturated Flow (20 papers). Zhenhua Wang is often cited by papers focused on Irrigation Practices and Water Management (81 papers), Soil erosion and sediment transport (26 papers) and Soil and Unsaturated Flow (20 papers). Zhenhua Wang collaborates with scholars based in China, United States and United Kingdom. Zhenhua Wang's co-authors include Jinzhu Zhang, Wenhao Li, Rui Zong, Li Guo, Qiusheng Zheng, Bihang Fan, Wenhao Li, Yue Wen, Haiqiang Li and Qiang Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Zhenhua Wang

162 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenhua Wang China 29 962 750 353 299 253 183 2.5k
Yidong Wang China 30 1.1k 1.1× 684 0.9× 195 0.6× 459 1.5× 436 1.7× 151 3.3k
Xiaomin Zhu China 25 846 0.9× 596 0.8× 110 0.3× 225 0.8× 154 0.6× 68 2.6k
Weiping Hao China 25 737 0.8× 856 1.1× 204 0.6× 615 2.1× 58 0.2× 59 1.9k
Yousef Alhaj Hamoud China 28 530 0.6× 1.5k 2.0× 92 0.3× 149 0.5× 156 0.6× 130 2.7k
Taolin Zhang China 38 1.2k 1.2× 1.7k 2.3× 224 0.6× 147 0.5× 292 1.2× 147 4.6k
Ram Swaroop Meena India 33 1.3k 1.3× 2.1k 2.7× 114 0.3× 176 0.6× 291 1.2× 188 4.4k
Aaron Lee M. Daigh United States 18 586 0.6× 328 0.4× 243 0.7× 122 0.4× 56 0.2× 80 1.5k
Luigi Ledda Italy 28 593 0.6× 995 1.3× 85 0.2× 197 0.7× 129 0.5× 92 2.3k

Countries citing papers authored by Zhenhua Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhenhua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenhua Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenhua Wang. A scholar is included among the top collaborators of Zhenhua Wang 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 Zhenhua Wang. Zhenhua Wang 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.
Gao, Xuehui, Jian Liu, Tehseen Javed, et al.. (2025). Using machine learning techniques to evaluate the impact of future climate change on wheat yields in Xinjiang, China. Agricultural Water Management. 317. 109646–109646. 1 indexed citations
2.
Ma, Jiaying, Rui Chen, Yue Wen, et al.. (2025). Processing tomato (Lycopersicon esculentum Miller) yield and quality in arid regions through micro-nano aerated drip irrigation coupled with humic acid application. Agricultural Water Management. 308. 109317–109317. 4 indexed citations
3.
Zhang, Jihong, Jihong Zhang, Ningning Liu, et al.. (2025). Improved MobileVit deep learning algorithm based on thermal images to identify the water state in cotton. Agricultural Water Management. 310. 109365–109365. 3 indexed citations
4.
Liu, Ningning, Miao Li, Wenhao Li, et al.. (2025). Effect of dynamic pressure and emitter type on irrigation and fertigation uniformity of drip irrigation systems. Agricultural Water Management. 312. 109418–109418. 2 indexed citations
5.
6.
Liu, Jian, Jinzhu Zhang, Li Guo, et al.. (2024). Ultra-wide film mulching with moderate irrigation water salinity enhances cotton growth under drip irrigation in Xinjiang, China. Field Crops Research. 315. 109485–109485. 12 indexed citations
7.
Zhang, Jihong, et al.. (2024). Application of deep learning based on thermal images to identify the water stress in cotton under film-mulched drip irrigation. Agricultural Water Management. 299. 108901–108901. 7 indexed citations
8.
Zhang, Jinzhu, Jinzhu Zhang, Ningning Liu, et al.. (2024). Numerical simulation and structure optimization for hydraulic performance of perforated drip irrigation emitters. Water Science & Technology Water Supply. 24(4). 1117–1130. 2 indexed citations
9.
10.
Wang, Tianyu, et al.. (2024). Increasing dissolved oxygen concentration of irrigation water is beneficial to nitrogen uptake of cotton under mulched drip irrigation. Field Crops Research. 316. 109494–109494. 3 indexed citations
11.
Guan, Xin, Jihong Zhang, Jihong Zhang, et al.. (2023). Structure optimization and fertilizer injection performance analysis of a non‐axisymmetric Venturi injector. Irrigation and Drainage. 73(2). 400–414. 4 indexed citations
12.
Xiao, Yang, Jaume Puig–Bargués, Bo Zhou, et al.. (2023). Assessment of water quality ions in brackish water on drip irrigation system performance applied in saline areas. Agricultural Water Management. 289. 108544–108544. 16 indexed citations
13.
Wang, Zhenhua, Bo Zhou, Pei Lei, et al.. (2018). Controlling threshold in soil salinity when planting spring wheat and sequential cropping silage corn in Northern Xinjiang using drip irrigation. International journal of agricultural and biological engineering. 11(2). 108–114. 9 indexed citations
14.
Wang, Zhenhua, et al.. (2016). Effects of Water-Nitrogen Coupling on Nitrogen Uptake and Nitrate Accumulation in Soil of Oil Sunflower in Drip-irrigated Multiple Cropping System. 47(10). 100. 1 indexed citations
15.
Li, Yunguang, et al.. (2015). Effect of liquid mulch on physiological characteristics and yield of drip irrigated cotton.. Nongye gongcheng xuebao. 31(13). 105–112. 1 indexed citations
16.
Wang, Zhenhua, et al.. (2013). Legume Consumption and Colorectal Adenoma Risk: A Meta-Analysis of Observational Studies. PLoS ONE. 8(6). e67335–e67335. 32 indexed citations
17.
Wang, Zhenhua, et al.. (2010). Influence of continuous tomato-cropping on second-stage juveniles of root-knot nematode and free-living nematodes from rhizosphere soil in plastic greenhouse.. Acta Phytopathologica Sinica. 40(1). 81–89. 5 indexed citations
18.
Wang, Zhenhua. (2006). Research on Influence of Subsurface Drip Irrigation on Cotton Physiology Character and Yield in Xinjiang. Jieshui guan'gai. 1 indexed citations
19.
Wang, Zhenhua, et al.. (2005). Influence of irrigation modes on water consumption and yield of cotton with drip irrigation under plastic mulch in North China Plain. Ganhan diqu nongye yanjiu. 23(6). 26–31. 3 indexed citations
20.
Wang, Zhenhua. (2002). Studies on Maize Germplasm Base,Division of Heterosis Groups and Utilizing Models of Heterosis in Henan. He'nan nongye kexue. 3 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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