Junying Chu

427 total citations
21 papers, 335 citations indexed

About

Junying Chu is a scholar working on Water Science and Technology, Ocean Engineering and Global and Planetary Change. According to data from OpenAlex, Junying Chu has authored 21 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Water Science and Technology, 8 papers in Ocean Engineering and 7 papers in Global and Planetary Change. Recurrent topics in Junying Chu's work include Water resources management and optimization (7 papers), Water Systems and Optimization (4 papers) and Flood Risk Assessment and Management (4 papers). Junying Chu is often cited by papers focused on Water resources management and optimization (7 papers), Water Systems and Optimization (4 papers) and Flood Risk Assessment and Management (4 papers). Junying Chu collaborates with scholars based in China and United States. Junying Chu's co-authors include Jining Chen, Can Wang, Hao Wang, Can Wang, Can Wang, Jianhua Wang, Jiahong Liu, Jiang Hu, Can Wang and Xiangyi Ding and has published in prestigious journals such as Water Research, Resources Conservation and Recycling and Sustainability.

In The Last Decade

Junying Chu

19 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junying Chu China	7	180	158	110	60	55	21	335
SA Fane Australia	11	133 0.7×	147 0.9×	114 1.0×	70 1.2×	37 0.7×	30	317
Andrea Turner Australia	12	206 1.1×	188 1.2×	98 0.9×	66 1.1×	86 1.6×	46	417
Francis Pamminger Australia	9	156 0.9×	134 0.8×	156 1.4×	143 2.4×	55 1.0×	21	429
John C. Radcliffe Australia	8	174 1.0×	80 0.5×	161 1.5×	64 1.1×	27 0.5×	12	371
Thulo Ram Gurung Australia	8	162 0.9×	179 1.1×	47 0.4×	129 2.1×	163 3.0×	11	370
Jan Vreeburg Netherlands	10	112 0.6×	82 0.5×	104 0.9×	85 1.4×	102 1.9×	22	370
Robert B. Sowby United States	13	302 1.7×	230 1.5×	66 0.6×	84 1.4×	147 2.7×	68	494
Samer Talozi Jordan	12	177 1.0×	137 0.9×	29 0.3×	54 0.9×	50 0.9×	26	365
Thomas D. Rockaway United States	12	174 1.0×	91 0.6×	71 0.6×	168 2.8×	119 2.2×	39	452
Moshrik R. Hamdi Jordan	9	140 0.8×	31 0.2×	134 1.2×	79 1.3×	33 0.6×	16	352

Countries citing papers authored by Junying Chu

Since Specialization

Citations

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

Fields of papers citing papers by Junying Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junying Chu

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

All Works

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20 of 20 papers shown

Tang, Zhenchen, et al.. (2025). The Sensitivity Analysis of Parameters in the 1D–2D Coupled Model for Urban Flooding. Applied Sciences. 15(4). 2157–2157.

Zhou, Tianhong, et al.. (2024). Evaluation and prediction of carrying capacity of soil and water resources in Lanzhou City based on the CA–Markov model. Water Science & Technology Water Supply. 25(1). 102–118.

Chu, Junying, Zuhao Zhou, Jiajia Liu, et al.. (2024). Identifying Non-Perennial River Reaches: A Hybrid Model Combining WEP-L and Random Forest. Sustainability. 16(23). 10543–10543. 1 indexed citations

Wu, Yuze, et al.. (2023). Rainfall Pattern Construction Method Based on DTW-HCA and Urban Flood Simulation: A Case Study of Nanchang City, China. Water. 16(1). 65–65. 4 indexed citations

Chu, Junying, et al.. (2022). A Life Cycle Oriented Multi‑objective Optimal Maintenance of Water Distribution: Model and Application. Water Resources Management. 36(11). 4161–4182. 5 indexed citations

Chu, Junying, et al.. (2021). Whole Chain based Adaptive Risk Management: A system approach to improve Urban Water Resilience. 39. 1171–1176. 1 indexed citations

Ding, Xiangyi, et al.. (2020). Health evaluation of urban water supply pipe network using the Bayesian method based on triangular fuzzy number optimization. IOP Conference Series Earth and Environmental Science. 467(1). 12124–12124. 2 indexed citations

Ding, Xiangyi, Siran Liu, Jiahong Liu, Junying Chu, & Xinlei Guo. (2019). Review on health assessment of urban water supply network. IOP Conference Series Earth and Environmental Science. 227. 42012–42012. 1 indexed citations

Chu, Junying, et al.. (2016). Water requirement of sugarcane and its correlation with meteorological factors.. Nanfang nongye xuebao. 47(1). 74–82. 1 indexed citations

10.

Chu, Junying, Jianhua Wang, & Can Wang. (2015). A structure–efficiency based performance evaluation of the urban water cycle in northern China and its policy implications. Resources Conservation and Recycling. 104. 1–11. 24 indexed citations

11.

Chu, Junying, Hao Wang, & Can Wang. (2013). Exploring price effects on the residential water conservation technology diffusion process: a case study of Tianjin city. Frontiers of Environmental Science & Engineering. 7(5). 688–698. 7 indexed citations

12.

Hu, Jiang, et al.. (2011). Risk Identification of Sudden Water Pollution on Fuzzy Fault Tree in Beibu-Gulf Economic Zone. Procedia Environmental Sciences. 10. 2413–2419. 17 indexed citations

13.

Chu, Junying. (2009). Model for distribution of water pollutants in a lake basin based on environmental Gini coefficient. Acta Scientiae Circumstantiae. 19 indexed citations

14.

Chu, Junying, Can Wang, Jining Chen, & Hao Wang. (2009). Agent-Based Residential Water Use Behavior Simulation and Policy Implications: A Case-Study in Beijing City. Water Resources Management. 23(15). 3267–3295. 87 indexed citations

15.

Chu, Junying, et al.. (2009). Simulation of lake water environment trends in Tangxun lake of Wuhan under rainfall uncertainty. 29(9). 955–961. 7 indexed citations

16.

Chu, Junying, et al.. (2007). The Main Experience,Problems and Development Direction of Water-saving Society Construction in China. China Rural Water and Hydropower. 1 indexed citations

17.

Wang, Can, et al.. (2006). Options for the future: balancing urban water supply and demand in Beijing. Water Policy. 8(2). 97–110. 3 indexed citations

18.

Chu, Junying, et al.. (2004). Wastewater reuse potential analysis: implications for China's water resources management. Water Research. 38(11). 2746–2756. 145 indexed citations

19.

Chu, Junying, Jining Chen, & Ji Zou. (2003). Perspectives on urban water infrastructure in China for the 21st century: SDMUWEIC model. Journal of Systems Science and Systems Engineering. 12(4). 470–480. 3 indexed citations

20.

Chu, Junying, et al.. (2002). [Future scale and market capacity of urban water environmental infrastructure in China: a system dynamic model].. PubMed. 23(4). 1–7. 4 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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