Shuo‐Jye Wu

2.6k total citations
66 papers, 2.1k citations indexed

About

Shuo‐Jye Wu is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Shuo‐Jye Wu has authored 66 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Statistics and Probability, 42 papers in Statistics, Probability and Uncertainty and 28 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Shuo‐Jye Wu's work include Statistical Distribution Estimation and Applications (52 papers), Probabilistic and Robust Engineering Design (37 papers) and Reliability and Maintenance Optimization (28 papers). Shuo‐Jye Wu is often cited by papers focused on Statistical Distribution Estimation and Applications (52 papers), Probabilistic and Robust Engineering Design (37 papers) and Reliability and Maintenance Optimization (28 papers). Shuo‐Jye Wu collaborates with scholars based in Taiwan, India and China. Shuo‐Jye Wu's co-authors include Tzong‐Ru Tsai, Chun‐Tao Chang, Çoşkun Kuş, Yuhlong Lio, Yogesh Mani Tripathi, Vinod Menon, Meghan L. Meyer, David C. Geary, Valorie N. Salimpoor and Shyi‐Tien Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemosphere and Cerebral Cortex.

In The Last Decade

Shuo‐Jye Wu

64 papers receiving 1.9k citations

Peers

Shuo‐Jye Wu

SPU

SRRQ

MSOR

GPC

Franco Pellerey Italy

Maria Kateri Germany

Spencer Graves United States

Terence Reilly United States

Randall Brooks United Kingdom

Shaun S. Wulff United States

Alan M. Polansky United States

S. J. Amster United States

Elizabeth González‐Estrada Mexico

Joan Fisher Box

Franco Pellerey Italy

Shuo‐Jye Wu

823 ×0.5

384 ×0.3

SPU

294 ×0.5

SRRQ

393 ×1.3

MSOR

55 ×0.3

GPC

Citations per year, relative to Shuo‐Jye Wu Shuo‐Jye Wu (= 1×) peers Franco Pellerey

Countries citing papers authored by Shuo‐Jye Wu

Since Specialization

Citations

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

Fields of papers citing papers by Shuo‐Jye Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shuo‐Jye Wu. 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 Shuo‐Jye Wu. The network helps show where Shuo‐Jye Wu may publish in the future.

Co-authorship network of co-authors of Shuo‐Jye Wu

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

All Works

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20 of 20 papers shown

Tripathi, Yogesh Mani, et al.. (2025). Bayesian inference and optimal plan for the family of inverted exponentiated distributions under doubly censored data. Hacettepe Journal of Mathematics and Statistics. 54(1). 237–262.

Tripathi, Yogesh Mani, et al.. (2024). Analysis of Block Adaptive Type-II Progressive Hybrid Censoring with Weibull Distribution. Mathematics. 12(24). 4026–4026. 1 indexed citations

Wu, Shuo‐Jye, et al.. (2023). Time-Series Forecasting of Chlorophyll-a in Coastal Areas Using LSTM, GRU and Attention-Based RNN Models. Journal of Environmental Informatics. 7 indexed citations

Wang, Liang, Shuo‐Jye Wu, Yogesh Mani Tripathi, & Sanku Dey. (2023). Estimation and prediction of modified progressive hybrid censored data from inverted exponentiated Rayleigh distribution. Quality Technology & Quantitative Management. 21(4). 502–524. 4 indexed citations

Singh, Sukhdev, Yogesh Mani Tripathi, & Shuo‐Jye Wu. (2016). Bayesian estimation and prediction based on lognormal record values. Journal of Applied Statistics. 44(5). 916–940. 11 indexed citations

Wu, Shuo‐Jye, et al.. (2014). Planning Progressive Type-I Interval Censoring Life Tests With Competing Risks. IEEE Transactions on Reliability. 63(2). 511–522. 29 indexed citations

Kuş, Çoşkun, et al.. (2012). Planning Life Tests for Burr XII Distributed Products Under Progressive Group-censoring with Cost Considerations. Gazi university journal of science. 25(2). 425–434. 2 indexed citations

Lio, Yuhlong, Tzong‐Ru Tsai, & Shuo‐Jye Wu. (2010). Acceptance sampling plans from truncated life tests based on the Burr type XII percentiles. Journal of the Chinese Institute of Industrial Engineers. 27(4). 270–280. 81 indexed citations

Lio, Yuhlong, Tzong‐Ru Tsai, & Shuo‐Jye Wu. (2009). Acceptance Sampling Plans from Truncated Life Tests Based on the Birnbaum–Saunders Distribution for Percentiles. Communications in Statistics - Simulation and Computation. 39(1). 119–136. 104 indexed citations

10.

Chang, Chun‐Tao, Shuo‐Jye Wu, & Li-Ching Chen. (2009). Optimal payment time with deteriorating items under inflation and permissible delay in payments. International Journal of Systems Science. 40(10). 985–993. 30 indexed citations

11.

Meyer, Meghan L., Valorie N. Salimpoor, Shuo‐Jye Wu, David C. Geary, & Vinod Menon. (2009). Differential contribution of specific working memory components to mathematics achievement in 2nd and 3rd graders. Learning and Individual Differences. 20(2). 101–109. 198 indexed citations

12.

Wu, Shuo‐Jye, et al.. (2009). Optimal progressive group-censoring plans for exponential distribution in presence of cost constraint. Statistical Papers. 51(2). 431–443. 16 indexed citations

13.

Wu, Shuo‐Jye, Ting‐Ting Chang, Asifa Majid, et al.. (2009). Functional Heterogeneity of Inferior Parietal Cortex during Mathematical Cognition Assessed with Cytoarchitectonic Probability Maps. Cerebral Cortex. 19(12). 2930–2945. 109 indexed citations

14.

Tsai, Tzong‐Ru, Shuo‐Jye Wu, Jyh-Jiuan Lin, & Yi–Ju Chen. (2007). Alternative estimation procedure in SPC when the process data are correlated. Journal of Statistical Computation and Simulation. 77(7). 575–583. 3 indexed citations

15.

Wu, Shuo‐Jye, Yi–Ju Chen, & Chun‐Tao Chang. (2006). Statistical inference based on progressively censored samples with random removals from the Burr type XII distribution. Journal of Statistical Computation and Simulation. 77(1). 19–27. 59 indexed citations

16.

Wu, Shuo‐Jye, Chun‐Tao Chang, & Tzong‐Ru Tsai. (2003). Point and interval estimations for the Gompertz distribution under progressive type-II censoring. METRON. 403–418. 24 indexed citations

17.

Wu, Shuo‐Jye. (2003). Estimation for the two-parameter pareto distribution under progressive censoring with uniform removals. Journal of Statistical Computation and Simulation. 73(2). 125–134. 41 indexed citations

18.

Crowder, S., et al.. (2002). Integration of trench DRAM into a high-performance 0.18 μm logic technology with copper BEOL. 1017–1020. 11 indexed citations

19.

Wu, Shuo‐Jye & Chun‐Tao Chang. (2002). Optimal design of degradation tests in presence of cost constraint. Reliability Engineering & System Safety. 76(2). 109–115. 58 indexed citations

20.

Randall, David, Des Connell, Rong Yang, & Shuo‐Jye Wu. (1998). Concentrations of persistent lipophilic compounds in fish are determined by exchange across the gills, not through the food chain. Chemosphere. 37(7). 1263–1270. 100 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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