Ruodan Zhuang

581 total citations
11 papers, 385 citations indexed

About

Ruodan Zhuang is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Ruodan Zhuang has authored 11 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Environmental Engineering, 5 papers in Water Science and Technology and 4 papers in Global and Planetary Change. Recurrent topics in Ruodan Zhuang's work include Soil Moisture and Remote Sensing (5 papers), Hydrology and Watershed Management Studies (5 papers) and Soil and Unsaturated Flow (3 papers). Ruodan Zhuang is often cited by papers focused on Soil Moisture and Remote Sensing (5 papers), Hydrology and Watershed Management Studies (5 papers) and Soil and Unsaturated Flow (3 papers). Ruodan Zhuang collaborates with scholars based in Italy, Netherlands and China. Ruodan Zhuang's co-authors include Salvatore Manfreda, Yijian Zeng, Zhongbo Su, János Mészáros, Eyal Ben Dor, Brigitta Szabó, M. R. James, M. Isabel P. de Lima, Anna Brook and Gil Gonçalves and has published in prestigious journals such as The Science of The Total Environment, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.

In The Last Decade

Ruodan Zhuang

9 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruodan Zhuang Italy	8	216	95	75	69	62	11	385
Samir Al‐Mashharawi Saudi Arabia	13	121 0.6×	93 1.0×	56 0.7×	22 0.3×	110 1.8×	22	418
Shu Gan China	9	132 0.6×	112 1.2×	77 1.0×	44 0.6×	19 0.3×	45	307
Mariano Focareta Italy	8	66 0.3×	90 0.9×	99 1.3×	73 1.1×	22 0.4×	18	324
Robert Austin United States	11	204 0.9×	100 1.1×	40 0.5×	24 0.3×	39 0.6×	42	525
Katherine Grote United States	12	362 1.7×	55 0.6×	51 0.7×	27 0.4×	94 1.5×	24	710
Salman Ashraf New Zealand	11	65 0.3×	97 1.0×	62 0.8×	52 0.8×	38 0.6×	21	340
David Zumr Czechia	12	83 0.4×	102 1.1×	89 1.2×	66 1.0×	104 1.7×	37	408
Lingbo Yang China	16	233 1.1×	336 3.5×	153 2.0×	183 2.7×	20 0.3×	42	617
Pierre Karrasch Germany	7	132 0.6×	95 1.0×	64 0.9×	40 0.6×	25 0.4×	20	352

Countries citing papers authored by Ruodan Zhuang

Since Specialization

Citations

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

Fields of papers citing papers by Ruodan Zhuang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruodan Zhuang

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

All Works

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11 of 11 papers shown

Zhuang, Ruodan, et al.. (2025). Mapping flood susceptibility using Random Forest exploiting satellite observations and geomorphic features. The Science of The Total Environment. 1002. 180592–180592.

Su, Zhongbo, Lei Zhong, Yijian Zeng, et al.. (2024). Analysis of land-atmosphere interactions and their influence on the energy and water cycle over the Tibetan Plateau. Geo-spatial Information Science. 27(3). 902–921.

Han, Qianqian, Yijian Zeng, Egor Prikaziuk, et al.. (2023). Ensemble of optimised machine learning algorithms for predicting surface soil moisture content at a global scale. Geoscientific model development. 16(20). 5825–5845. 9 indexed citations

Francos, Nicolas, Nunzio Romano, Paolo Nasta, et al.. (2021). Mapping Water Infiltration Rate Using Ground and UAV Hyperspectral Data: A Case Study of Alento, Italy. Remote Sensing. 13(13). 2606–2606. 18 indexed citations

Zhang, Lijie, Yijian Zeng, Ruodan Zhuang, et al.. (2021). In Situ Observation-Constrained Global Surface Soil Moisture Using Random Forest Model. Remote Sensing. 13(23). 4893–4893. 32 indexed citations

Manfreda, Salvatore, Helge Aasen, M. R. James, et al.. (2020). Current Practices in UAS-based Environmental Monitoring. Remote Sensing. 12(6). 1001–1001. 169 indexed citations

Su, Zhongbo, Yijian Zeng, Nunzio Romano, et al.. (2020). An Integrative Information Aqueduct to Close the Gaps between Satellite Observation of Water Cycle and Local Sustainable Management of Water Resources. Water. 12(5). 1495–1495. 86 indexed citations

Zhuang, Ruodan, Yijian Zeng, Salvatore Manfreda, & Zhongbo Su. (2020). Quantifying Long-Term Land Surface and Root Zone Soil Moisture over Tibetan Plateau. Remote Sensing. 12(3). 509–509. 46 indexed citations

Ciraolo, Giuseppe, Fulvio Capodici, Salvatore Manfreda, et al.. (2020). A Geostatistical Approach to Map Near-Surface Soil Moisture Through Hyperspatial Resolution Thermal Inertia. IEEE Transactions on Geoscience and Remote Sensing. 59(6). 5352–5369. 16 indexed citations

10.

Tian, Yifei, et al.. (2019). A Prior Estimation of the Spatial Distribution Parameter of Soil Moisture Storage Capacity Using Satellite-Based Root-Zone Soil Moisture Data. Remote Sensing. 11(21). 2580–2580. 8 indexed citations

11.

Zhuang, Ruodan, et al.. (2011). Mapping flood events using remote sensing in an arid zone river, central Australia. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 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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