Jinghua Sha

544 total citations
27 papers, 404 citations indexed

About

Jinghua Sha is a scholar working on Ocean Engineering, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Jinghua Sha has authored 27 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ocean Engineering, 13 papers in Water Science and Technology and 7 papers in Environmental Engineering. Recurrent topics in Jinghua Sha's work include Water resources management and optimization (14 papers), Water-Energy-Food Nexus Studies (8 papers) and Water Resources and Sustainability (7 papers). Jinghua Sha is often cited by papers focused on Water resources management and optimization (14 papers), Water-Energy-Food Nexus Studies (8 papers) and Water Resources and Sustainability (7 papers). Jinghua Sha collaborates with scholars based in China and Japan. Jinghua Sha's co-authors include Jingjing Yan, Xiping Pan, Hongliang Zhang, Nan Xiang, Yufang Ma, Song Ci, Feng Xu, Shuai Zhong, Feng Xu and Guofeng Zhang and has published in prestigious journals such as Journal of Cleaner Production, Sustainability and Environmental Science and Pollution Research.

In The Last Decade

Jinghua Sha

25 papers receiving 384 citations

Peers

Jinghua Sha
Jinghua Sha
Citations per year, relative to Jinghua Sha Jinghua Sha (= 1×) peers Yuanchun Zhou

Countries citing papers authored by Jinghua Sha

Since Specialization
Citations

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

Fields of papers citing papers by Jinghua Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinghua Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Jinghua Sha. A scholar is included among the top collaborators of Jinghua Sha 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 Jinghua Sha. Jinghua Sha 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.
Li, Shule, Jingjing Yan, Qiuming Pei, Jinghua Sha, & Fei Liu. (2022). Dynamic Relationship Between Water Resources and New Urbanization Based on a Vector Autoregressive Model: A Case Study of Hebei Province, China. Frontiers in Environmental Science. 10. 5 indexed citations
3.
Yan, Jingjing, et al.. (2021). Dynamic simulation for comprehensive water resources policies to improve water-use efficiency in coastal city. Environmental Science and Pollution Research. 28(20). 25628–25649. 13 indexed citations
5.
Yan, Jingjing, et al.. (2019). Dynamic simulation of the optimal allocation of water resources via the introduction of integrated water environmental policies in Baoding, China. Environmental Science and Pollution Research. 26(26). 27516–27533. 22 indexed citations
6.
Li, Shule, et al.. (2019). Risk Identification and Evaluation of the Long-term Supply of Manganese Mines in China Based on the VW-BGR Method. Sustainability. 11(9). 2683–2683. 15 indexed citations
8.
Ci, Song, et al.. (2018). Dynamic modeling application for simulating optimal policies on water conservation in Zhangjiakou City, China. Journal of Cleaner Production. 201. 111–122. 16 indexed citations
9.
Ma, Yufang, et al.. (2018). Dynamic simulation of the atmospheric environment improved by a focus on clean energy utilization of resource-based cities in China. Journal of Cleaner Production. 192. 396–410. 32 indexed citations
11.
Zhong, Shuai, Jinghua Sha, Lei Shen, et al.. (2016). Measuring drought based on a CGE model with multi-regional irrigation water. Water Policy. 18(4). 877–891. 11 indexed citations
13.
Zhong, Shuai, Lei Shen, Jinghua Sha, et al.. (2015). Assessing the Water Parallel Pricing System against Drought in China: A Study Based on a CGE Model with Multi-Provincial Irrigation Water. Water. 7(7). 3431–3465. 20 indexed citations
14.
Sha, Jinghua, et al.. (2014). Evaluation of environmental protection levels using grey relational analysis. Polish Journal of Environmental Studies. 23(5). 2 indexed citations
15.
Yan, Jingjing, et al.. (2014). Dynamic Evaluation of Water Quality Improvement Based on Effective Utilization of Stockbreeding Biomass Resource. Sustainability. 6(11). 8218–8236. 5 indexed citations
16.
Yan, Jingjing, et al.. (2014). Endogenous derivation of optimal environmental policies for proper treatment of stockbreeding wastes in the upstream region of the Miyun Reservoir, Beijing. Papers of the Regional Science Association. 93(2). 477–501. 9 indexed citations
17.
Xiang, Nan, Feng Xu, & Jinghua Sha. (2013). Simulation Analysis of China’s Energy and Industrial Structure Adjustment Potential to Achieve a Low-carbon Economy by 2020. Sustainability. 5(12). 5081–5099. 26 indexed citations
18.
Sha, Jinghua. (2012). COMPARISON IN INDUSTRIAL STRUCTURE TRANSFORMATION CAPACITY IN FIVE WESTERN PROVINCES. Resources and Industries.
19.
Cui, Bin, et al.. (2009). Analysis on the Sustainable Utilization of Water Resources in China. 14. 1–4. 2 indexed citations
20.
Yan, Jingjing, et al.. (2009). Dynamic Assessment on Sustainable Development Capacity of Mining Cities by BP Neural Network. 15. 1–4. 1 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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