Danrong Zhang

945 total citations
42 papers, 746 citations indexed

About

Danrong Zhang is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Danrong Zhang has authored 42 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Water Science and Technology, 17 papers in Global and Planetary Change and 16 papers in Environmental Engineering. Recurrent topics in Danrong Zhang's work include Hydrology and Watershed Management Studies (17 papers), Hydrological Forecasting Using AI (9 papers) and Flood Risk Assessment and Management (6 papers). Danrong Zhang is often cited by papers focused on Hydrology and Watershed Management Studies (17 papers), Hydrological Forecasting Using AI (9 papers) and Flood Risk Assessment and Management (6 papers). Danrong Zhang collaborates with scholars based in China, United States and Netherlands. Danrong Zhang's co-authors include Yiqing Guan, Feng Huang, Xi Chen, Carlos G. Ochoa, Pouya Aghelpour, Babak Mohammadi, Yude Zhang, Ramiro Pillco Zolá, Samad Emamgholizadeh and Jie Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hydrology.

In The Last Decade

Danrong Zhang

37 papers receiving 734 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danrong Zhang China 17 395 392 245 111 104 42 746
B. Venkatesh India 13 420 1.1× 415 1.1× 283 1.2× 82 0.7× 184 1.8× 29 773
B. F. Ochoa‐Tocachi United Kingdom 15 365 0.9× 339 0.9× 133 0.5× 146 1.3× 142 1.4× 28 742
Santosh Aryal Australia 14 396 1.0× 356 0.9× 158 0.6× 86 0.8× 76 0.7× 30 638
Hui Peng China 18 436 1.1× 523 1.3× 321 1.3× 73 0.7× 76 0.7× 39 901
Friday Uchenna Ochege China 16 428 1.1× 321 0.8× 226 0.9× 106 1.0× 99 1.0× 44 871
Ottfried Dietrich Germany 18 363 0.9× 362 0.9× 151 0.6× 155 1.4× 81 0.8× 40 705
Ankur Srivastava Australia 15 617 1.6× 410 1.0× 318 1.3× 206 1.9× 125 1.2× 54 948
Sumit Sen India 17 418 1.1× 454 1.2× 241 1.0× 88 0.8× 207 2.0× 64 904
Pavla Pekárová Slovakia 17 443 1.1× 487 1.2× 187 0.8× 114 1.0× 68 0.7× 77 820

Countries citing papers authored by Danrong Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Danrong Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danrong Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Danrong Zhang. A scholar is included among the top collaborators of Danrong Zhang 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 Danrong Zhang. Danrong Zhang 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.
Zhang, Danrong, et al.. (2025). Climate change impacts on river flow and extreme hydrological events in the Tendaho Catchment, Ethiopia. Journal of Water and Climate Change. 16(11). 3243–3274.
3.
Zhang, Danrong, et al.. (2024). Predicting Urban Water Consumption and Health Using Artificial Intelligence Techniques in Tanganyika Lake, East Africa. Water. 16(13). 1793–1793. 3 indexed citations
4.
Wang, Ziyuan, et al.. (2023). Research on Seawater Intrusion Suppression Scheme of Minjiang River Estuary. International Journal of Environmental Research and Public Health. 20(6). 5211–5211.
5.
Guan, Yiqing, et al.. (2023). Impact of Climate Change on the Water Balance of the Akaki Catchment. Water. 16(1). 54–54. 6 indexed citations
6.
Shahid, Muhammad Adnan, et al.. (2023). Artificial Neural Networks and Regression Modeling for Water Resources Management in the Upper Indus Basin. SHILAP Revista de lepidopterología. 53–53. 5 indexed citations
7.
Su, Rui, Jin Zeng, Shuren Wang, et al.. (2022). NosZI microbial community determined the potential of denitrification and nitrous oxide emission in river sediments of Qinghai-Tibetan Plateau. Environmental Research. 214(Pt 4). 114138–114138. 17 indexed citations
8.
Zhang, Danrong, et al.. (2021). An environmental flow method applied in small and medium-sized mountainous rivers. Water Science and Engineering. 14(4). 323–329. 9 indexed citations
9.
Mohammadi, Babak, Yiqing Guan, Pouya Aghelpour, et al.. (2020). Simulation of Titicaca Lake Water Level Fluctuations Using Hybrid Machine Learning Technique Integrated with Grey Wolf Optimizer Algorithm. Water. 12(11). 3015–3015. 67 indexed citations
10.
Aghelpour, Pouya, et al.. (2020). Using the MODIS Sensor for Snow Cover Modeling and the Assessment of Drought Effects on Snow Cover in a Mountainous Area. Remote Sensing. 12(20). 3437–3437. 29 indexed citations
11.
Huang, Feng, Carlos G. Ochoa, Xi Chen, & Danrong Zhang. (2020). Modeling oasis dynamics driven by ecological water diversion and implications for oasis restoration in arid endorheic basins. Journal of Hydrology. 593. 125774–125774. 34 indexed citations
12.
Guan, Yiqing, et al.. (2019). The associations between river health and water resources management lead to the assessment of river state. Ecological Indicators. 109. 105814–105814. 41 indexed citations
13.
Huang, Feng, Yude Zhang, Danrong Zhang, & Xi Chen. (2019). Environmental Groundwater Depth for Groundwater-Dependent Terrestrial Ecosystems in Arid/Semiarid Regions: A Review. International Journal of Environmental Research and Public Health. 16(5). 763–763. 59 indexed citations
14.
Chen, Zhihe, et al.. (2017). Simulation of control efficiency of low impact development measures for urban stormwater. 33(2). 31–36. 4 indexed citations
15.
Zhang, Danrong, et al.. (2017). Determination of the ecological water-level and assuring degree in the Lake Gaoyou, northern Jiangsu with long-term hydrological alteration. Journal of Lake Sciences. 29(2). 398–408. 9 indexed citations
16.
Zhou, Yangxiao, Zhi Yang, Danrong Zhang, Xiaomei Jin, & Jun Zhang. (2014). Inter-catchment comparison of flow regime between the Hailiutu and Huangfuchuan rivers in the semi-arid Erdos Plateau, Northwest China. Hydrological Sciences Journal. 60(4). 688–705. 12 indexed citations
17.
Zhang, Danrong, et al.. (2011). Prediction of water quality of Xianlin reservoir affected by engineering measures. 6. 1070–1073. 2 indexed citations
18.
Zhang, Danrong, et al.. (2008). Experimental Research on Atrazine Sorption and Degradation in Soils. 4137–4140. 1 indexed citations
19.
Beven, Keith, Danrong Zhang, & André Mermoud. (2006). On the Value of Local Measurements for Prediction of Pesticide Transport at the Field Scale. Vadose Zone Journal. 5(1). 222–233. 8 indexed citations
20.
Zhang, Danrong & Yiqing Guan. (2005). Experimental study on dinoseb degradation in soils. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026