Anan Tang

427 total citations
32 papers, 345 citations indexed

About

Anan Tang is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Control and Systems Engineering. According to data from OpenAlex, Anan Tang has authored 32 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics, Probability and Uncertainty, 19 papers in Statistics and Probability and 6 papers in Control and Systems Engineering. Recurrent topics in Anan Tang's work include Advanced Statistical Process Monitoring (32 papers), Scientific Measurement and Uncertainty Evaluation (24 papers) and Advanced Statistical Methods and Models (19 papers). Anan Tang is often cited by papers focused on Advanced Statistical Process Monitoring (32 papers), Scientific Measurement and Uncertainty Evaluation (24 papers) and Advanced Statistical Methods and Models (19 papers). Anan Tang collaborates with scholars based in China, France and India. Anan Tang's co-authors include Xuelong Hu, Philippe Castagliola, Jinsheng Sun, Xiaojian Zhou, Amitava Mukherjee, Suying Zhang, Teng Huang and Weidong Huang and has published in prestigious journals such as PLoS ONE, Computers & Industrial Engineering and Symmetry.

In The Last Decade

Anan Tang

31 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anan Tang China 11 328 172 88 48 31 32 345
Yanjing Ou Singapore 11 354 1.1× 162 0.9× 108 1.2× 46 1.0× 56 1.8× 22 404
D. T. Shirke India 13 411 1.3× 302 1.8× 87 1.0× 51 1.1× 46 1.5× 53 487
Jean‐Claude Malela‐Majika South Africa 14 510 1.6× 302 1.8× 147 1.7× 74 1.5× 37 1.2× 63 558
Zameer Abbas Pakistan 14 417 1.3× 265 1.5× 113 1.3× 27 0.6× 47 1.5× 45 447
Vasileios Alevizakos Greece 12 405 1.2× 222 1.3× 83 0.9× 46 1.0× 65 2.1× 40 430
Chau‐Chen Torng Taiwan 12 281 0.9× 126 0.7× 55 0.6× 78 1.6× 46 1.5× 23 358
Mu’azu Ramat Abujiya Saudi Arabia 16 577 1.8× 428 2.5× 133 1.5× 37 0.8× 29 0.9× 30 622
Nesma A. Saleh Egypt 10 497 1.5× 247 1.4× 87 1.0× 84 1.8× 66 2.1× 20 527
Ridwan A. Sanusi Hong Kong 11 380 1.2× 245 1.4× 102 1.2× 32 0.7× 34 1.1× 22 428
Ali Hussein AL-Marshadi Saudi Arabia 11 228 0.7× 160 0.9× 48 0.5× 92 1.9× 11 0.4× 42 321

Countries citing papers authored by Anan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Anan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anan Tang. 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 Anan Tang. The network helps show where Anan Tang may publish in the future.

Co-authorship network of co-authors of Anan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Anan Tang. A scholar is included among the top collaborators of Anan Tang 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 Anan Tang. Anan Tang 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.
Castagliola, Philippe, et al.. (2024). The performance of the one-sided truncated exponentially weighted moving average X¯ control chart in the presence of measurement errors. Journal of Statistical Computation and Simulation. 94(10). 2089–2113. 1 indexed citations
2.
Tang, Anan, Amitava Mukherjee, & Philippe Castagliola. (2024). A distribution-free Max-EWMA scheme for multi-aspect process monitoring with industrial applications. Computers & Industrial Engineering. 191. 110110–110110. 2 indexed citations
3.
Tang, Anan, et al.. (2023). Distribution-free Phase-II monitoring of high-dimensional industrial processes via origin and modified interpoint distance based algorithms. Computers & Industrial Engineering. 179. 109161–109161. 5 indexed citations
4.
Hu, Xuelong, et al.. (2023). EWMA monitoring schemes for MCV in short production runs with an application to the steel sleeve manufacturing process. Computers & Industrial Engineering. 182. 109427–109427. 6 indexed citations
5.
Tang, Anan, et al.. (2023). An optimally designed distribution‐free CUSUM procedure for tri‐aspect surveillance of continuous processes. Quality and Reliability Engineering International. 39(6). 2537–2557. 2 indexed citations
6.
Sun, Jinsheng, et al.. (2023). Investigating zero-state and steady-state performance of MEWMA-CoDa control chart using variable sampling interval. Journal of Applied Statistics. 51(5). 913–934. 10 indexed citations
7.
Tang, Anan, et al.. (2022). The exact statistical properties of a signed‐rank‐based adaptive exponential weighted moving average chart. Quality and Reliability Engineering International. 38(5). 2781–2794. 4 indexed citations
8.
Hu, Xuelong, et al.. (2022). On designing the two one-sided mixed EWMA-CUSUM monitoring schemes for the coefficient of variation with an application to the sintering process. Computers & Industrial Engineering. 169. 108212–108212. 5 indexed citations
9.
Tang, Anan, et al.. (2022). Nonparametric adaptive EWMA-type control chart with variable sampling intervals. Communications in Statistics - Simulation and Computation. 53(8). 4001–4017. 2 indexed citations
10.
Tang, Anan, Philippe Castagliola, Xuelong Hu, & Xiaojian Zhou. (2021). Optimal one‐ and two‐sided adaptive EWMA scheme for monitoring Poisson count data. Quality and Reliability Engineering International. 37(5). 2248–2262. 1 indexed citations
11.
Hu, Xuelong, et al.. (2020). On the performance of the adaptive EWMA chart for monitoring time between events. Journal of Statistical Computation and Simulation. 91(6). 1175–1211. 24 indexed citations
12.
Hu, Xuelong, et al.. (2020). On the conditional performance of the synthetic chart with unknown process parameters using the exceedance probability criterion. PLoS ONE. 15(10). e0239538–e0239538. 1 indexed citations
13.
Hu, Xuelong, et al.. (2019). Guaranteed conditional performance of the median run length based EWMA X¯ chart with unknown process parameters. Communications in Statistics - Simulation and Computation. 50(12). 4280–4299. 9 indexed citations
14.
Hu, Xuelong, Philippe Castagliola, & Anan Tang. (2019). Conditional design of the CUSUM median chart for the process position when process parameters are unknown. Journal of Statistical Computation and Simulation. 89(13). 2468–2488. 7 indexed citations
15.
Tang, Anan, Jinsheng Sun, Xuelong Hu, & Philippe Castagliola. (2019). A new nonparametric adaptive EWMA control chart with exact run length properties. Computers & Industrial Engineering. 130. 404–419. 43 indexed citations
16.
Tang, Anan, Philippe Castagliola, Xuelong Hu, & Jinsheng Sun. (2019). The adaptive EWMA median chart for known and estimated parameters. Journal of Statistical Computation and Simulation. 89(5). 844–863. 12 indexed citations
17.
Huang, Teng, et al.. (2019). An adaptive EWMA median chart for monitoring the process mean. 3817–3821. 3 indexed citations
18.
Tang, Anan, Philippe Castagliola, Jinsheng Sun, & Xuelong Hu. (2018). Optimal design of the adaptive EWMA chart for the mean based on median run length and expected median run length. Quality Technology & Quantitative Management. 16(4). 439–458. 54 indexed citations
19.
Tang, Anan, Philippe Castagliola, Xuelong Hu, & Jinsheng Sun. (2018). The performance of the adaptive EWMA median chart in the presence of measurement error. Quality and Reliability Engineering International. 35(1). 423–438. 22 indexed citations
20.
Tang, Anan, Philippe Castagliola, Jinsheng Sun, & Xuelong Hu. (2017). An adaptive exponentially weighted moving average chart for the mean with variable sampling intervals. Quality and Reliability Engineering International. 33(8). 2023–2034. 22 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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