Yuankun Wang

2.8k total citations
86 papers, 2.1k citations indexed

About

Yuankun Wang is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Yuankun Wang has authored 86 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Water Science and Technology, 45 papers in Global and Planetary Change and 30 papers in Environmental Engineering. Recurrent topics in Yuankun Wang's work include Hydrology and Watershed Management Studies (51 papers), Hydrological Forecasting Using AI (24 papers) and Hydrology and Drought Analysis (23 papers). Yuankun Wang is often cited by papers focused on Hydrology and Watershed Management Studies (51 papers), Hydrological Forecasting Using AI (24 papers) and Hydrology and Drought Analysis (23 papers). Yuankun Wang collaborates with scholars based in China, United States and United Arab Emirates. Yuankun Wang's co-authors include Jichun Wu, Dong Wang, Dong Wang, Yuwei Tao, Bruce L. Rhoads, Vijay P. Singh, Jiufu Liu, Lingling Ni, Lachun Wang and Jianyun Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Research.

In The Last Decade

Yuankun Wang

82 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuankun Wang China 26 1.1k 752 635 447 429 86 2.1k
Thanh Duc Dang Vietnam 26 982 0.9× 896 1.2× 588 0.9× 116 0.3× 427 1.0× 63 2.1k
Senlin Zhu China 27 1.2k 1.1× 471 0.6× 1.1k 1.8× 523 1.2× 300 0.7× 112 2.3k
Álvaro Sordo‐Ward Spain 19 877 0.8× 622 0.8× 277 0.4× 367 0.8× 447 1.0× 53 2.0k
Zhiyong Liu China 32 955 0.9× 1.8k 2.4× 606 1.0× 160 0.4× 343 0.8× 101 2.8k
Mariusz Ptak Poland 26 1.2k 1.1× 422 0.6× 622 1.0× 367 0.8× 482 1.1× 133 2.0k
Kun Yang China 26 457 0.4× 812 1.1× 705 1.1× 139 0.3× 275 0.6× 124 2.2k
Willy Bauwens Belgium 26 1.5k 1.4× 1.1k 1.4× 897 1.4× 109 0.2× 270 0.6× 103 2.7k
Lachlan Newham Australia 19 1.2k 1.1× 861 1.1× 640 1.0× 148 0.3× 557 1.3× 54 2.7k
Zengchuan Dong China 19 782 0.7× 577 0.8× 276 0.4× 91 0.2× 223 0.5× 130 1.4k

Countries citing papers authored by Yuankun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yuankun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuankun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuankun Wang. A scholar is included among the top collaborators of Yuankun 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 Yuankun Wang. Yuankun 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.
Fang, Qingqing, Lei Zhao, Yongqiang Wang, et al.. (2025). Decoupling climate and vegetation impacts on hydrological processes in semi-arid regions using an improved grid-scale Budyko model. Journal of Hydrology Regional Studies. 61. 102691–102691. 1 indexed citations
2.
Wang, Yuankun, Lei Zhao, Shuhao Qin, et al.. (2025). An improved SWAT snowmelt model and its application in non-stationary spring flood frequency analysis in alpine regions: a case study of the upper Jinsha River basin. Journal of Hydrology. 662. 133808–133808. 1 indexed citations
3.
4.
Xu, Pengcheng, Dong Wang, Yuankun Wang, et al.. (2024). Quantifying the urbanization and climate change-induced impact on changing patterns of rainfall Intensity-Duration-Frequency via nonstationary models. Urban Climate. 55. 101990–101990. 7 indexed citations
5.
Xu, Pengcheng, Dong Wang, Yuankun Wang, et al.. (2024). A dynamic von Mises-based model to evaluate the impact of urbanization and climate change on flood timing in Yangtze and Huaihe River Basins, China. Journal of Hydrology. 634. 131120–131120. 3 indexed citations
6.
Meng, Ching‐I., et al.. (2024). Identification of compound flood-heatwave extremes in the Yangtze River Basin and their socio-economic exposure. Journal of Hydrology. 649. 132387–132387. 5 indexed citations
7.
8.
Wang, Dong, Yuankun Wang, Xiankui Zeng, et al.. (2020). Improved comprehensive ecological risk assessment method and sensitivity analysis of polycyclic aromatic hydrocarbons (PAHs). Environmental Research. 187. 109500–109500. 9 indexed citations
9.
Wang, Yuankun, et al.. (2020). Water temperature forecasting based on modified artificial neural network methods: Two cases of the Yangtze River. The Science of The Total Environment. 737. 139729–139729. 78 indexed citations
10.
Wang, Dong, Vijay P. Singh, Yuankun Wang, et al.. (2019). Non-stationary frequency analysis of annual extreme rainfall volume and intensity using Archimedean copulas: A case study in eastern China. Journal of Hydrology. 571. 114–131. 49 indexed citations
11.
Wang, Dong, Vijay P. Singh, Yuankun Wang, et al.. (2019). Evaluation of information transfer and data transfer models of rain-gauge network design based on information entropy. Environmental Research. 178. 108686–108686. 9 indexed citations
12.
Xu, Pengcheng, Dong Wang, Vijay P. Singh, et al.. (2019). Time-varying copula and design life level-based nonstationary risk analysis of extreme rainfall events. 6 indexed citations
13.
Wang, Yuankun, et al.. (2019). Quantifying the change in streamflow complexity in the Yangtze River. Environmental Research. 180. 108833–108833. 33 indexed citations
14.
Wang, Dong, et al.. (2018). Comprehensive ecological risk classification of polycyclic aromatic hydrocarbons in sediments by S-T model. 38(6). 2283–2288. 1 indexed citations
15.
Wang, Yuankun, et al.. (2017). Investigating the impacts of cascade hydropower development on the natural flow regime in the Yangtze River, China. The Science of The Total Environment. 624. 1187–1194. 92 indexed citations
16.
Xu, Pengcheng, Dong Wang, Vijay P. Singh, et al.. (2017). A kriging and entropy-based approach to raingauge network design. Environmental Research. 161. 61–75. 34 indexed citations
17.
Wang, Dong, Dengfeng Liu, Hao Ding, et al.. (2016). A cloud model-based approach for water quality assessment. Environmental Research. 148. 24–35. 107 indexed citations
18.
Wang, Dong, Vijay P. Singh, Pengcheng Xu, et al.. (2016). A multidimension cloud model-based approach for water quality assessment. Environmental Research. 149. 113–121. 70 indexed citations
19.
Liu, Dengfeng, Dong Wang, Jichun Wu, et al.. (2014). A risk assessment method based on RBF artificial neural network - cloud model for urban water hazard. Journal of Intelligent & Fuzzy Systems. 27(5). 2409–2416. 35 indexed citations
20.
Wang, Yuankun. (2010). Runoff regimes of upstream Yangtze River in dry season and October. Journal of Hohai University. 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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