You‐Gan Wang

7.1k total citations
241 papers, 5.3k citations indexed

About

You‐Gan Wang is a scholar working on Statistics and Probability, Global and Planetary Change and Nature and Landscape Conservation. According to data from OpenAlex, You‐Gan Wang has authored 241 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Statistics and Probability, 64 papers in Global and Planetary Change and 45 papers in Nature and Landscape Conservation. Recurrent topics in You‐Gan Wang's work include Marine and fisheries research (51 papers), Statistical Methods and Inference (46 papers) and Fish Ecology and Management Studies (43 papers). You‐Gan Wang is often cited by papers focused on Marine and fisheries research (51 papers), Statistical Methods and Inference (46 papers) and Fish Ecology and Management Studies (43 papers). You‐Gan Wang collaborates with scholars based in Australia, China and United States. You‐Gan Wang's co-authors include Vincent J. Carey, Jinran Wu, Liya Fu, Denis H. Y. Leung, Lin‐Yee Hin, B. M. Brown, Min Zhu, Ling Li, David J. Die and Anne‐Louise Ponsonby and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

You‐Gan Wang

232 papers receiving 5.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
You‐Gan Wang Australia 39 1.2k 1.2k 775 691 518 241 5.3k
Jennifer A. Hoeting United States 22 1.1k 0.9× 706 0.6× 682 0.9× 692 1.0× 813 1.6× 54 5.2k
Robert A. Rigby United Kingdom 22 1.1k 0.9× 941 0.8× 325 0.4× 384 0.6× 432 0.8× 51 5.2k
Thomas Kneib Germany 40 1.8k 1.5× 744 0.6× 571 0.7× 875 1.3× 1.1k 2.2× 211 7.3k
Kung‐Sik Chan United States 37 820 0.7× 1.4k 1.2× 695 0.9× 1.2k 1.7× 332 0.6× 111 5.5k
Robert A. Koyak United States 5 1.2k 1.1× 1.1k 1.0× 891 1.1× 1.2k 1.7× 618 1.2× 11 6.2k
Paul W. Mielke United States 40 1.1k 0.9× 1.6k 1.4× 777 1.0× 1.2k 1.7× 614 1.2× 256 7.5k
D. Stasinopoulos United Kingdom 15 828 0.7× 830 0.7× 269 0.3× 325 0.5× 330 0.6× 28 4.4k
Walter Zucchini Germany 28 946 0.8× 522 0.4× 368 0.5× 1.1k 1.6× 838 1.6× 54 4.3k
Elizabeth A. Peck United States 5 515 0.4× 448 0.4× 327 0.4× 428 0.6× 422 0.8× 7 5.0k
Susan J. Devlin United States 12 712 0.6× 764 0.7× 264 0.3× 450 0.7× 488 0.9× 15 5.9k

Countries citing papers authored by You‐Gan Wang

Since Specialization
Citations

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

Fields of papers citing papers by You‐Gan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by You‐Gan 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 You‐Gan Wang. The network helps show where You‐Gan Wang may publish in the future.

Co-authorship network of co-authors of You‐Gan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of You‐Gan Wang. A scholar is included among the top collaborators of You‐Gan 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 You‐Gan Wang. You‐Gan 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.
Jin, Guangqiu, et al.. (2025). Spatiotemporal variations of water levels and river-lake interaction in the Poyang Lake basin under the extreme drought. Journal of Hydrology Regional Studies. 57. 102165–102165. 7 indexed citations
3.
Li, Xian, Jinran Wu, Yujia Huang, et al.. (2025). Fourier-feature induced physics informed randomized neural network method to solve the biharmonic equation. Journal of Computational and Applied Mathematics. 468. 116635–116635.
4.
Liu, Siyuan, Yuan Jin, Weide Li, et al.. (2024). Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation. Earth Science Informatics. 17(6). 5135–5148. 3 indexed citations
5.
Wang, Fang, et al.. (2024). Rapeseed Seed Coat Color Classification Based on the Visibility Graph Algorithm and Hyperspectral Technique. Agronomy. 14(5). 941–941. 6 indexed citations
6.
Zhang, Shaotong, et al.. (2023). Predictions of runoff and sediment discharge at the lower Yellow River Delta using basin irrigation data. Ecological Informatics. 78. 102385–102385. 5 indexed citations
7.
Zhang, Shaotong, Jinran Wu, You‐Gan Wang, et al.. (2023). Improved Prediction of Local Significant Wave Height by Considering the Memory of Past Winds. Water Resources Research. 59(8). 6 indexed citations
8.
Wu, Jinran, et al.. (2023). Mixture extreme learning machine algorithm for robust regression. Knowledge-Based Systems. 280. 111033–111033. 7 indexed citations
9.
Wu, Jinran, et al.. (2023). A novel deep learning framework with a COVID-19 adjustment for electricity demand forecasting. Energy Reports. 9. 1887–1895. 18 indexed citations
10.
McGrory, Clare A., et al.. (2023). Forecasting stock closing prices with an application to airline company data. SHILAP Revista de lepidopterología. 6(4). 239–246. 4 indexed citations
11.
Yang, Yang, Yuchao Gao, Jinran Wu, et al.. (2022). An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems. Engineering Applications of Artificial Intelligence. 113. 104981–104981. 40 indexed citations
12.
Wu, Yulu, et al.. (2022). QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm. Expert Systems with Applications. 213. 119246–119246. 61 indexed citations
13.
Wang, You‐Gan, et al.. (2021). Predictive regression with p-lags and order-q autoregressive predictors. Journal of Empirical Finance. 62. 282–293.
14.
Wang, You‐Gan, et al.. (2021). Robust approach for variable selection with high dimensional longitudinal data analysis. Statistics in Medicine. 40(30). 6835–6854. 1 indexed citations
15.
Sumpton, Wayne, Matthew J. Campbell, Michael F. O‘Neill, et al.. (2015). Assessment of the blue swimmer crab (Portunus armatus) fishery in Queensland. Queensland Department of Agriculture and Fisheries archive of scientific and research publications (Queensland Department of Agriculture and Fisheries). 1 indexed citations
16.
Courtney, Anthony J., Michael F. O‘Neill, Matías Braccini, et al.. (2014). Biological and economic management strategy evaluations of the eastern king prawn fishery. Queensland Department of Agriculture and Fisheries archive of scientific and research publications (Queensland Department of Agriculture and Fisheries). 9 indexed citations
17.
Wang, You‐Gan. (2013). Water quality: Indicators, human impact and environmental health. QUT ePrints (Queensland University of Technology). 4 indexed citations
18.
Wang, You‐Gan, Petra Kuhnert, Brent Henderson, & Lachlan Stewart. (2009). An extended regression approach to estimating loads and their uncertainties in Great Barrier Reef catchments. QUT ePrints (Queensland University of Technology). 3329–3335. 2 indexed citations
19.
Wang, You‐Gan & Denis H. Y. Leung. (2002). CONDITIONAL PROBABILITY OF SIGNIFICANCE FOR EARLY STOPPING IN FAVOR OF H 0. Sequential Analysis. 21(3). 145–160. 2 indexed citations
20.
Wang, You‐Gan & David A. Milton. (2000). On comparison of growth curves: How do we test whether growth rates differ?. QUT ePrints (Queensland University of Technology). 28 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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