Chuen‐Fa Ni

1.2k total citations
63 papers, 836 citations indexed

About

Chuen‐Fa Ni is a scholar working on Environmental Engineering, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Chuen‐Fa Ni has authored 63 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Environmental Engineering, 23 papers in Civil and Structural Engineering and 15 papers in Mechanical Engineering. Recurrent topics in Chuen‐Fa Ni's work include Groundwater flow and contamination studies (40 papers), Soil and Unsaturated Flow (20 papers) and Hydraulic Fracturing and Reservoir Analysis (15 papers). Chuen‐Fa Ni is often cited by papers focused on Groundwater flow and contamination studies (40 papers), Soil and Unsaturated Flow (20 papers) and Hydraulic Fracturing and Reservoir Analysis (15 papers). Chuen‐Fa Ni collaborates with scholars based in Taiwan, United States and Vietnam. Chuen‐Fa Ni's co-authors include Jui-Sheng Chen, Shuguang Li, Chen‐Wuing Liu, Tian-Chyi Jim Yeh, Ching‐Ping Liang, Shu-Guang Li, Jiun‐Yee Yen, Jui‐Sheng Chen, Chung-Pai Chang and Ray Y. Chuang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Scientific Reports.

In The Last Decade

Chuen‐Fa Ni

57 papers receiving 815 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuen‐Fa Ni Taiwan 17 557 213 154 144 139 63 836
Vanessa Télès France 12 450 0.8× 106 0.5× 151 1.0× 141 1.0× 90 0.6× 24 828
Xiaoyong Zhan United States 9 438 0.8× 212 1.0× 171 1.1× 277 1.9× 206 1.5× 20 778
Marwan Fahs France 21 908 1.6× 380 1.8× 293 1.9× 158 1.1× 375 2.7× 101 1.5k
Ravi P. Gupta India 12 358 0.6× 58 0.3× 159 1.0× 172 1.2× 116 0.8× 26 1.1k
Ekkehard Holzbecher Germany 14 362 0.6× 126 0.6× 97 0.6× 105 0.7× 145 1.0× 71 804
Domenico Baù United States 19 426 0.8× 157 0.7× 426 2.8× 225 1.6× 181 1.3× 53 929
Bart Rogiers Belgium 11 299 0.5× 212 1.0× 128 0.8× 99 0.7× 53 0.4× 50 574
Haipeng Guo China 16 319 0.6× 80 0.4× 210 1.4× 56 0.4× 84 0.6× 46 725
Catherine Moore New Zealand 15 644 1.2× 96 0.5× 341 2.2× 84 0.6× 92 0.7× 50 915
Longcang Shu China 16 536 1.0× 102 0.5× 69 0.4× 61 0.4× 53 0.4× 75 835

Countries citing papers authored by Chuen‐Fa Ni

Since Specialization
Citations

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

Fields of papers citing papers by Chuen‐Fa Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuen‐Fa Ni. 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 Chuen‐Fa Ni. The network helps show where Chuen‐Fa Ni may publish in the future.

Co-authorship network of co-authors of Chuen‐Fa Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Chuen‐Fa Ni. A scholar is included among the top collaborators of Chuen‐Fa Ni 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 Chuen‐Fa Ni. Chuen‐Fa Ni 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, Sheng‐Wei, et al.. (2025). A case study on the application of a data-driven (XGBoost) approach on the environmental and socio-economic perspectives of agricultural groundwater management. Agricultural Water Management. 318. 109729–109729. 2 indexed citations
2.
Ni, Chuen‐Fa, et al.. (2025). Quantification of the variability of the soil moisture field in response to variations in the rainfall field. Journal of Hydrology. 662. 133881–133881.
3.
Liu, Chih‐Yu, Cheng‐Yu Ku, & Chuen‐Fa Ni. (2025). Deep learning time-series modeling for assessing land subsidence under reduced groundwater use. Scientific Reports. 15(1). 30901–30901.
4.
Ni, Chuen‐Fa, et al.. (2024). Cost-Effective Groundwater Potential Mapping by Integrating Multiple Remote Sensing Data and the Index–Overlay Method. Remote Sensing. 16(3). 502–502. 5 indexed citations
5.
Borja, Ronaldo I., et al.. (2024). Modeling pore fluid pressure and deformation in unsaturated soils under gravitational compaction and cyclic loading. Journal of Hydrology. 644. 132108–132108.
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Ni, Chuen‐Fa, et al.. (2024). Variability in the displacement of solute particles in heterogeneous confined aquifers. Advances in Water Resources. 186. 104660–104660. 1 indexed citations
9.
Ni, Chuen‐Fa, et al.. (2024). Data-Driven Gray Box Modeling for Predicting Basin-Scale Groundwater Variations in Central Taiwan. Journal of Hydrologic Engineering. 30(1).
10.
Ni, Chuen‐Fa, et al.. (2024). Spatial variability of groundwater flow fields caused by nonstationary random input parameter processes. Journal of Hydrology. 649. 132477–132477.
11.
Ni, Chuen‐Fa, et al.. (2023). Identifying private pumping wells in a land subsidence area in Taiwan using deep learning technology and street view images. Journal of Hydrology Regional Studies. 51. 101636–101636. 1 indexed citations
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Ni, Chuen‐Fa, et al.. (2021). Numerical Assessment of the Hybrid Approach for Simulating Three-Dimensional Flow and Advective Transport in Fractured Rocks. Applied Sciences. 11(22). 10792–10792. 1 indexed citations
15.
Ni, Chuen‐Fa, et al.. (2021). Technical note: Discharge response of a confined aquifer with variable thickness to temporal, nonstationary, random recharge processes. Hydrology and earth system sciences. 25(5). 2387–2397. 1 indexed citations
16.
Ni, Chuen‐Fa, et al.. (2020). Applying deep learning algorithms to enhance simulations of large-scale groundwater flow in IoTs. Applied Soft Computing. 92. 106298–106298. 41 indexed citations
17.
Ni, Chuen‐Fa, et al.. (2019). Numerical assessments of recharge-dominated groundwater flow and transport in the nearshore reclamation area in western Taiwan. Environmental Monitoring and Assessment. 191(2). 83–83. 1 indexed citations
18.
Ni, Chuen‐Fa, et al.. (2019). Stochastic modeling of flow and conservative transport in three-dimensional discrete fracture networks. Hydrology and earth system sciences. 23(1). 19–34. 20 indexed citations
19.
Ni, Chuen‐Fa, et al.. (2011). Quantifying flow and remediation zone uncertainties for partially opened wells in heterogeneous aquifers. Hydrology and earth system sciences. 15(7). 2291–2301. 3 indexed citations
20.
Ni, Chuen‐Fa & Shu-Guang Li. (2006). Modeling groundwater velocity uncertainty in nonstationary composite porous media. Advances in Water Resources. 29(12). 1866–1875. 20 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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