Wen‐Ping Tsai

1.7k total citations · 1 hit paper
29 papers, 1.2k citations indexed

About

Wen‐Ping Tsai is a scholar working on Water Science and Technology, Nature and Landscape Conservation and Environmental Engineering. According to data from OpenAlex, Wen‐Ping Tsai has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Water Science and Technology, 11 papers in Nature and Landscape Conservation and 11 papers in Environmental Engineering. Recurrent topics in Wen‐Ping Tsai's work include Hydrology and Watershed Management Studies (18 papers), Fish Ecology and Management Studies (11 papers) and Hydrological Forecasting Using AI (10 papers). Wen‐Ping Tsai is often cited by papers focused on Hydrology and Watershed Management Studies (18 papers), Fish Ecology and Management Studies (11 papers) and Hydrological Forecasting Using AI (10 papers). Wen‐Ping Tsai collaborates with scholars based in Taiwan, United States and China. Wen‐Ping Tsai's co-authors include Fi‐John Chang, Chaopeng Shen, Edwin E. Herricks, Dapeng Feng, A. A. Harpold, Gary Sterle, Yanlai Zhou, Wei Zhi, Li Li and Su‐Ting Cheng and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Cancer Research.

In The Last Decade

Wen‐Ping Tsai

27 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continental Scale?

2021 204 citations Dapeng Feng, Wen‐Ping Tsai et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wen‐Ping Tsai Taiwan	16	764	554	372	188	160	29	1.2k
Inmaculada Pulido‐Calvo Spain	18	387 0.5×	302 0.5×	670 1.8×	195 1.0×	102 0.6×	49	1.3k
G. B. Sahoo United States	18	750 1.0×	486 0.9×	359 1.0×	115 0.6×	202 1.3×	34	1.3k
Weihong Liao China	22	877 1.1×	431 0.8×	743 2.0×	154 0.8×	45 0.3×	73	1.7k
Pedro Medeiros Brazil	22	594 0.8×	197 0.4×	377 1.0×	124 0.7×	43 0.3×	58	1.2k
Qidong Peng China	13	408 0.5×	369 0.7×	336 0.9×	169 0.9×	149 0.9×	29	854
Younggu Her United States	21	1.0k 1.4×	492 0.9×	756 2.0×	155 0.8×	39 0.2×	95	1.5k
YoonKyung Cha South Korea	24	665 0.9×	332 0.6×	169 0.5×	59 0.3×	302 1.9×	62	1.5k
Jong Ahn Chun South Korea	21	589 0.8×	494 0.9×	565 1.5×	75 0.4×	25 0.2×	64	1.4k
Shengqi Jian China	18	866 1.1×	774 1.4×	1.0k 2.8×	75 0.4×	100 0.6×	69	1.7k

Countries citing papers authored by Wen‐Ping Tsai

Since Specialization

Citations

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

Fields of papers citing papers by Wen‐Ping Tsai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Ping Tsai. 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 Wen‐Ping Tsai. The network helps show where Wen‐Ping Tsai may publish in the future.

Co-authorship network of co-authors of Wen‐Ping Tsai

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ganguly, Sayantan, et al.. (2025). A novel hybrid machine learning framework for spatio-temporal analysis of reference evapotranspiration in India. Journal of Hydrology Regional Studies. 58. 102271–102271. 1 indexed citations

Ho, S W, et al.. (2025). Deploying Digital Twins as a Service in Hybrid Clouds. 471–471.

Bindas, Tadd, Wen‐Ping Tsai, Jiangtao Liu, et al.. (2024). Improving River Routing Using a Differentiable Muskingum‐Cunge Model and Physics‐Informed Machine Learning. Water Resources Research. 60(1). 33 indexed citations

Song, Yalan, Wen‐Ping Tsai, Alan M. Rhoades, et al.. (2023). LSTM-Based Data Integration to Improve Snow Water Equivalent Prediction and Diagnose Error Sources. Journal of Hydrometeorology. 25(1). 223–237. 13 indexed citations

Ma, Kai, Dapeng Feng, Kathryn Lawson, et al.. (2021). Transferring Hydrologic Data Across Continents – Leveraging Data‐Rich Regions to Improve Hydrologic Prediction in Data‐Sparse Regions. Water Resources Research. 57(5). 121 indexed citations

Hu, Jiahao, Wen‐Ping Tsai, Su‐Ting Cheng, & Fi‐John Chang. (2020). Explore the relationship between fish community and environmental factors by machine learning techniques. Environmental Research. 184. 109262–109262. 26 indexed citations

Cheng, Su‐Ting, et al.. (2018). Signals of stream fish homogenization revealed by AI-based clusters. Scientific Reports. 8(1). 15960–15960. 11 indexed citations

Shen, Chaopeng, Eric Laloy, Adrian Albert, et al.. (2018). HESS Opinions: Deep learning as a promising avenue toward knowledge discovery in water sciences. Biogeosciences (European Geosciences Union). 5 indexed citations

Shen, Chaopeng, Eric Laloy, Amin Elshorbagy, et al.. (2018). HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community. Hydrology and earth system sciences. 22(11). 5639–5656. 187 indexed citations

10.

Chang, Fi‐John, et al.. (2018). Exploring synergistic benefits of Water-Food-Energy Nexus through multi-objective reservoir optimization schemes. The Science of The Total Environment. 633. 341–351. 99 indexed citations

11.

Tsai, Wen‐Ping, et al.. (2016). A data-mining framework for exploring the multi-relation between fish species and water quality through self-organizing map. The Science of The Total Environment. 579. 474–483. 69 indexed citations

12.

Cheng, Su‐Ting, Edwin E. Herricks, Wen‐Ping Tsai, & Fi‐John Chang. (2016). Assessing the natural and anthropogenic influences on basin-wide fish species richness. The Science of The Total Environment. 572. 825–836. 22 indexed citations

13.

Chang, Fi‐John, et al.. (2016). Modelling Intelligent Water Resources Allocation for Multi-users. Water Resources Management. 30(4). 1395–1413. 44 indexed citations

14.

Tsai, Wen‐Ping, et al.. (2016). Exploring the Mechanism of Surface and Ground Water through Data-Driven Techniques with Sensitivity Analysis for Water Resources Management. Water Resources Management. 30(13). 4789–4806. 13 indexed citations

15.

Tsai, Wen‐Ping, Fi‐John Chang, & Edwin E. Herricks. (2015). Exploring the ecological response of fish to flow regime by soft computing techniques. Ecological Engineering. 87. 9–19. 11 indexed citations

16.

Tsai, Wen‐Ping, Fi‐John Chang, Li‐Chiu Chang, & Edwin E. Herricks. (2015). AI techniques for optimizing multi-objective reservoir operation upon human and riverine ecosystem demands. Journal of Hydrology. 530. 634–644. 82 indexed citations

17.

Chang, Fi‐John, et al.. (2012). A self-organizing radial basis network for estimating riverine fish diversity. Journal of Hydrology. 476. 280–289. 24 indexed citations

18.

Lin, Yuan‐Feng, et al.. (2009). Intracellular β-Tubulin/Chaperonin Containing TCP1-β Complex Serves as a Novel Chemotherapeutic Target against Drug-Resistant Tumors. Cancer Research. 69(17). 6879–6888. 48 indexed citations

19.

Tsai, Wen‐Ping, Shyh‐Jou Shieh, & Bo-Wen Lin. (2009). Extensive perineal and pelvic defects reconstructed simultaneously using bilateral pedicled gracilis and rectus abdominis muscle flaps after en-bloc excision of locally invasive perineal mucinous adenocarcinoma. Scandinavian Journal of Plastic and Reconstructive Surgery and Hand Surgery. 43(5). 286–290. 2 indexed citations

20.

Tsai, Wen‐Ping, et al.. (2006). Stenotrophomonas maltophilia bacteremia in burn patients. Burns. 32(2). 155–158. 35 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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