Li-Pen Wang

1.3k total citations
31 papers, 848 citations indexed

About

Li-Pen Wang is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Li-Pen Wang has authored 31 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 21 papers in Atmospheric Science and 11 papers in Water Science and Technology. Recurrent topics in Li-Pen Wang's work include Precipitation Measurement and Analysis (19 papers), Flood Risk Assessment and Management (17 papers) and Hydrology and Drought Analysis (12 papers). Li-Pen Wang is often cited by papers focused on Precipitation Measurement and Analysis (19 papers), Flood Risk Assessment and Management (17 papers) and Hydrology and Drought Analysis (12 papers). Li-Pen Wang collaborates with scholars based in United Kingdom, Belgium and Taiwan. Li-Pen Wang's co-authors include Christian Onof, Susana Ochoa-Rodríguez, Patrick Willems, Diana Rodrigues de Pina, Nuno Simões, Johan Van Assel, Stefan Kröll, Abdellah Ichiba, Auguste Gires and Marie‐Claire ten Veldhuis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Journal of Hydrology.

In The Last Decade

Li-Pen Wang

30 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li-Pen Wang United Kingdom 13 634 574 314 225 26 31 848
Eiichi NAKAKITA Japan 15 559 0.9× 530 0.9× 227 0.7× 161 0.7× 21 0.8× 135 799
Steven J. Cole United Kingdom 15 607 1.0× 360 0.6× 485 1.5× 160 0.7× 27 1.0× 48 799
Xuan Ji China 17 438 0.7× 394 0.7× 241 0.8× 146 0.6× 45 1.7× 35 676
Radosław Goska United States 14 605 1.0× 474 0.8× 336 1.1× 210 0.9× 56 2.2× 24 831
Kirien Whan Netherlands 16 793 1.3× 644 1.1× 126 0.4× 171 0.8× 25 1.0× 34 1.0k
Alexandros A. Ntelekos United States 14 725 1.1× 424 0.7× 309 1.0× 196 0.9× 51 2.0× 16 872
Ami Arthur United States 10 890 1.4× 1.1k 1.8× 304 1.0× 327 1.5× 24 0.9× 13 1.3k
Shang Gao United States 15 458 0.7× 288 0.5× 324 1.0× 203 0.9× 45 1.7× 45 644
J. Bartholmes Italy 5 771 1.2× 428 0.7× 608 1.9× 154 0.7× 18 0.7× 7 888
Hapu Arachchige Prasantha Hapuarachchi Australia 9 648 1.0× 273 0.5× 497 1.6× 201 0.9× 46 1.8× 14 768

Countries citing papers authored by Li-Pen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Li-Pen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li-Pen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Li-Pen Wang. A scholar is included among the top collaborators of Li-Pen 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 Li-Pen Wang. Li-Pen 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.
Wang, Li-Pen, et al.. (2025). Modelling convective cell life cycles with a copula-based approach. Hydrology and earth system sciences. 29(1). 1–25.
2.
Luca, Davide Luciano De, Francesco Napolitano, Dongkyun Kim, et al.. (2025). Rainfall nowcasting models: state of the art and possible future perspectives. Hydrological Sciences Journal. 70(9). 1419–1438. 2 indexed citations
3.
Wang, Li-Pen, et al.. (2024). Exploring the use of 3D radar measurements in predicting the evolution of single-core convective cells. Atmospheric Research. 304. 107380–107380. 1 indexed citations
4.
Ochoa-Rodríguez, Susana, et al.. (2024). Practicalities of community-led continuous water quality monitoring: lessons from Taiwan and UK pilots. Frontiers in Environmental Science. 12. 2 indexed citations
6.
Onof, Christian & Li-Pen Wang. (2020). Modelling rainfall with a Bartlett–Lewis process: new developments. Hydrology and earth system sciences. 24(5). 2791–2815. 27 indexed citations
7.
Ochoa-Rodríguez, Susana, Li-Pen Wang, Patrick Willems, & Christian Onof. (2019). A Review of Radar‐Rain Gauge Data Merging Methods and Their Potential for Urban Hydrological Applications. Water Resources Research. 55(8). 6356–6391. 122 indexed citations
8.
Tian, Xin, Marie‐Claire ten Veldhuis, Linda See, et al.. (2018). Crowd-sourced data: how valuable and reliable are they for real-time urban flood monitoring and forecasting?. EGU General Assembly Conference Abstracts. 361. 1 indexed citations
9.
Ochoa-Rodríguez, Susana, et al.. (2017). High resolution radar-rain gauge data merging for urban hydrology: current practice and beyond. Lirias (KU Leuven). 5646. 1 indexed citations
10.
Gires, Auguste, Ioulia Tchiguirinskaia, Daniel Schertzer, et al.. (2017). Fractal analysis of urban catchments and their representation in semi-distributed models: imperviousness and sewer system. Hydrology and earth system sciences. 21(5). 2361–2375. 17 indexed citations
11.
Ochoa-Rodríguez, Susana, Li-Pen Wang, Patrick Willems, & Christian Onof. (2016). A Monte-Carlo Bayesian framework for urban rainfall error modelling. Spiral (Imperial College London). 1 indexed citations
12.
Wang, Li-Pen, Susana Ochoa-Rodríguez, Christian Onof, & Patrick Willems. (2015). Singularity-sensitive gauge-based radar rainfall adjustment methods for urban hydrological applications. Hydrology and earth system sciences. 19(9). 4001–4021. 26 indexed citations
13.
Ntegeka, Victor, Damián Murlà Tuyls, Li-Pen Wang, et al.. (2015). Probabilistic urban inundation nowcasting. Lirias (KU Leuven). 2 indexed citations
14.
Wang, Li-Pen, Susana Ochoa-Rodríguez, Johan Van Assel, et al.. (2015). Enhancement of radar rainfall estimates for urban hydrology through optical flow temporal interpolation and Bayesian gauge-based adjustment. Journal of Hydrology. 531. 408–426. 51 indexed citations
15.
Wang, Li-Pen, et al.. (2015). iFFRM Kluang: dynamic calibration of radar rainfall data for flood forecasting in Malaysia. 1 indexed citations
16.
Wang, Li-Pen, et al.. (2015). A stochastic spatial-temporal rainfall generator for urban hydrological applications. 1 indexed citations
17.
Ochoa-Rodríguez, Susana, Li-Pen Wang, Adriana Bailey, et al.. (2015). Evaluation of radar-rain gauge merging methods for urban hydrological applications: relative performance and impact of gauge density. 3 indexed citations
18.
Ochoa-Rodríguez, Susana, Li-Pen Wang, Auguste Gires, et al.. (2015). Impact of spatial and temporal resolution of rainfall inputs on urban hydrodynamic modelling outputs: A multi-catchment investigation. Journal of Hydrology. 531. 389–407. 237 indexed citations
19.
Schellart, Alma, Nuno Simões, Li-Pen Wang, et al.. (2011). Urban pluvial flood modelling with real time rainfall information – UK case studies. Open Research Exeter (University of Exeter). 8 indexed citations
20.
Wang, Li-Pen, Christian Onof, & Č. Maksimović. (2010). Reconstruction of sub-daily rainfall sequences using multinomial multiplicative cascades. 6 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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