Sheng-Ping Wang

892 total citations
54 papers, 693 citations indexed

About

Sheng-Ping Wang is a scholar working on Global and Planetary Change, Water Science and Technology and Nature and Landscape Conservation. According to data from OpenAlex, Sheng-Ping Wang has authored 54 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Global and Planetary Change, 19 papers in Water Science and Technology and 17 papers in Nature and Landscape Conservation. Recurrent topics in Sheng-Ping Wang's work include Marine and fisheries research (25 papers), Hydrology and Watershed Management Studies (15 papers) and Fish Ecology and Management Studies (14 papers). Sheng-Ping Wang is often cited by papers focused on Marine and fisheries research (25 papers), Hydrology and Watershed Management Studies (15 papers) and Fish Ecology and Management Studies (14 papers). Sheng-Ping Wang collaborates with scholars based in China, Taiwan and United States. Sheng-Ping Wang's co-authors include Chi‐Lu Sun, Zhiqiang Zhang, Su‐Zan Yeh, Tim R. McVicar, Mark N. Maunder, Junting Guo, Alexandre Aires‐da‐Silva, André E. Punt, Yin Tang and Peter Strauß and has published in prestigious journals such as Journal of Hydrology, Molecules and Sensors.

In The Last Decade

Sheng-Ping Wang

47 papers receiving 648 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng-Ping Wang China 16 513 273 220 157 119 54 693
John R. Durand United States 12 306 0.6× 124 0.5× 240 1.1× 265 1.7× 21 0.2× 25 653
Daniel A. Auerbach United States 11 169 0.3× 199 0.7× 236 1.1× 336 2.1× 83 0.7× 13 571
Hana Moidu United States 5 201 0.4× 217 0.8× 113 0.5× 155 1.0× 27 0.2× 8 443
Mira Anand United States 6 204 0.4× 183 0.7× 99 0.5× 142 0.9× 30 0.3× 8 450
Nick Marsh Australia 7 212 0.4× 428 1.6× 450 2.0× 488 3.1× 62 0.5× 15 773
Brian S. Ickes United States 12 231 0.5× 175 0.6× 241 1.1× 303 1.9× 56 0.5× 27 497
Katie H. Costigan United States 11 175 0.3× 428 1.6× 333 1.5× 498 3.2× 116 1.0× 16 736
Paul A. Levine United States 9 184 0.4× 79 0.3× 157 0.7× 292 1.9× 152 1.3× 18 557
Andrew Pike United States 11 141 0.3× 168 0.6× 214 1.0× 218 1.4× 55 0.5× 15 393
K. M. Burnett United States 8 144 0.3× 140 0.5× 444 2.0× 468 3.0× 92 0.8× 11 641

Countries citing papers authored by Sheng-Ping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sheng-Ping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng-Ping Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng-Ping Wang. A scholar is included among the top collaborators of Sheng-Ping 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 Sheng-Ping Wang. Sheng-Ping 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, Sheng-Ping, et al.. (2025). Blue shark conservation in the Indian Ocean: data-limited insights on population structure, distribution, and stock assessments. Global Ecology and Conservation. 58. e03433–e03433.
2.
Chen, Zhigao, Yan Zong, Sheng-Ping Wang, & Dajun Li. (2025). Improving estuarine discharge forecasting with a KAN-augmented LSTM model: A case study of the Yangtze River Estuary. Journal of Hydrology Regional Studies. 62. 102961–102961.
3.
Chen, Zhigao, et al.. (2024). Prediction of discharge in a tidal river using the LSTM-based sequence-to-sequence models. Acta Oceanologica Sinica. 43(7). 40–51. 3 indexed citations
4.
Wang, Sheng-Ping, et al.. (2024). Adsorption equilibrium, kinetics and dynamic process of polyphenols from orange peel extract on mixed‐mode adsorption resin HD‐1. Journal of Chemical Technology & Biotechnology. 99(6). 1377–1388. 1 indexed citations
5.
Chang, Yun‐Chen, et al.. (2022). Trophic Dynamics and Feeding Ecology of Skipjack Tuna (Katsuwonus pelamis) off Eastern and Western Taiwan. Molecules. 27(3). 1073–1073. 8 indexed citations
7.
Musyl, Michael K., Sheng-Ping Wang, Nan‐Jay Su, et al.. (2019). Movement behaviour of released wild and farm-raised dolphinfish Coryphaena hippurus tracked by pop-up satellite archival tags. Fisheries Science. 85(5). 779–790. 7 indexed citations
8.
Wang, Sheng-Ping & Mark N. Maunder. (2016). Is down-weighting composition data adequate for dealing with model misspecification, or do we need to fix the model?. Fisheries Research. 192. 41–51. 14 indexed citations
10.
Guo, Junting, Zhiqiang Zhang, Jie Zhou, Sheng-Ping Wang, & Peter Strauß. (2014). Decoupling Streamflow Responses to Climate Variability and Land Use/Cover Changes in a Watershed in Northern China. JAWRA Journal of the American Water Resources Association. 50(6). 1425–1438. 7 indexed citations
12.
Wang, Sheng-Ping. (2011). The Application of SCS Model in Runoff Calculation in Tumen Xigou River Basin. 1 indexed citations
13.
Guo, Junting, et al.. (2011). Features of Baseflow and Its Influencing Factors for Small Watersheds in Loess Hilly and Gully Region. Bulletin of Soil and Water Conservation. 31(1). 87–92. 4 indexed citations
14.
Wang, Sheng-Ping, Zhiqiang Zhang, Yin Tang, & Junting Guo. (2010). Evaluation of spatial distribution of soil erosion and sediment yield for a small watershed of the Loess Plateau by coupling MIKE-SHE with MUSLE. Nongye gongcheng xuebao. 26(3). 92–98. 5 indexed citations
15.
Zhang, Zhiqiang, et al.. (2010). Streamflow response to climate and landuse changes in Qingshui River watershed in the loess hilly-gully region of Western Shanxi Province, China.. 34(7). 800–810. 2 indexed citations
16.
Wang, Sheng-Ping, et al.. (2010). Age and growth analysis of swordfish (Xiphias gladius) in the Indian Ocean based on the specimens collected by Taiwanese observer program. 7 indexed citations
17.
Chiang, Wei‐Chuan, et al.. (2009). Analysis of sex-specific spawning biomass per recruit of the sailfish (Istiophorus platypterus) in the waters off eastern Taiwan. AquaDocs (United Nations Educational, Scientific and Cultural Organization). 11 indexed citations
18.
Wang, Sheng-Ping, et al.. (2006). Effects of land use change on hydrological dynamics at watershed scale in the Loess Plateau—A case study in the Lüergou watershed, Gansu Province. Beijing Linye Daxue xuebao. 3 indexed citations
19.
Sun, Chi‐Lu, Sheng-Ping Wang, Clay E. Porch, & Su‐Zan Yeh. (2004). Sex-specific yield per recruit and spawning stock biomass per recruit for the swordfish, Xiphias gladius, in the waters around Taiwan. Fisheries Research. 71(1). 61–69. 14 indexed citations
20.
Wang, Sheng-Ping, Chi‐Lu Sun, & Su‐Zan Yeh. (2003). Sex Ratios and Sexual Maturity of Swordfish (Xiphias gladius L.) in the Waters of Taiwan. Zoological studies. 42(4). 529–539. 25 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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