Dongdong Xiang

584 total citations
41 papers, 433 citations indexed

About

Dongdong Xiang is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Dongdong Xiang has authored 41 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics, Probability and Uncertainty, 26 papers in Statistics and Probability and 9 papers in Management Science and Operations Research. Recurrent topics in Dongdong Xiang's work include Advanced Statistical Process Monitoring (31 papers), Advanced Statistical Methods and Models (21 papers) and Scientific Measurement and Uncertainty Evaluation (11 papers). Dongdong Xiang is often cited by papers focused on Advanced Statistical Process Monitoring (31 papers), Advanced Statistical Methods and Models (21 papers) and Scientific Measurement and Uncertainty Evaluation (11 papers). Dongdong Xiang collaborates with scholars based in China, Hong Kong and United States. Dongdong Xiang's co-authors include Xiaolong Pu, Peihua Qiu, Fugee Tsung, Wendong Li, Wenjuan Liang, Xiaorong Pu, Chi Zhang, Amitava Mukherjee, Lei Wang and Ke Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Technometrics and Statistics in Medicine.

In The Last Decade

Dongdong Xiang

36 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongdong Xiang China 13 338 230 143 48 44 41 433
Ali Yeganeh Iran 15 291 0.9× 156 0.7× 107 0.7× 49 1.0× 51 1.2× 38 422
Mu’azu Ramat Abujiya Saudi Arabia 16 577 1.7× 428 1.9× 133 0.9× 37 0.8× 11 0.3× 30 622
Osama H. Arif Saudi Arabia 13 344 1.0× 333 1.4× 71 0.5× 119 2.5× 25 0.6× 31 488
Frank B. Alt United States 6 167 0.5× 87 0.4× 93 0.7× 17 0.4× 23 0.5× 10 275
Kyungmee O. Kim South Korea 12 188 0.6× 80 0.3× 51 0.4× 54 1.1× 8 0.2× 30 425
Mohammed Albassam Saudi Arabia 11 148 0.4× 170 0.7× 45 0.3× 83 1.7× 21 0.5× 54 387
M. Revan Özkale Türkiye 14 239 0.7× 581 2.5× 85 0.6× 54 1.1× 75 1.7× 61 719
Yuzhu Tian China 10 72 0.2× 207 0.9× 58 0.4× 21 0.4× 95 2.2× 46 341
Jiqian Chen China 5 126 0.4× 223 1.0× 145 1.0× 303 6.3× 43 1.0× 10 455
Chih‐Hua Chiao Taiwan 7 172 0.5× 118 0.5× 28 0.2× 161 3.4× 8 0.2× 9 338

Countries citing papers authored by Dongdong Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Dongdong Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongdong Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Dongdong Xiang. A scholar is included among the top collaborators of Dongdong Xiang 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 Dongdong Xiang. Dongdong Xiang 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.
Sun, Mingze, et al.. (2023). An EWMA chart for high dimensional process with multi-class out-of-control information via random forest learning. Quality Technology & Quantitative Management. 21(5). 722–748. 8 indexed citations
2.
Yan, Li, et al.. (2023). A stable sequential multiple test for Koopman–Darmois family. Journal of Statistical Planning and Inference. 226. 39–62.
3.
Abbas, Zameer, Hafiz Zafar Nazir, Saddam Akber Abbasi, Muhammad Riaz, & Dongdong Xiang. (2022). On designing efficient memory-type charts using multiple auxiliary-information. Journal of Statistical Computation and Simulation. 93(4). 646–670. 4 indexed citations
4.
Li, Wendong, et al.. (2021). Multi-sensor based landslide monitoring via transfer learning. Journal of Quality Technology. 53(5). 474–487. 17 indexed citations
5.
Xiang, Dongdong, et al.. (2021). Fault classification for high‐dimensional data streams: A directional diagnostic framework based on multiple hypothesis testing. Naval Research Logistics (NRL). 68(7). 973–987. 8 indexed citations
6.
Tsung, Fugee, et al.. (2021). Optimal space-filling design for symmetrical global sensitivity analysis of complex black-box models. Applied Mathematical Modelling. 100. 303–319. 15 indexed citations
7.
Xiang, Dongdong, et al.. (2019). An efficient charting scheme for multivariate categorical process with a sparse contingency table. Journal of Quality Technology. 53(1). 88–105. 5 indexed citations
8.
Xiang, Dongdong, et al.. (2017). at TREC 2017: Real-Time Summarization Track.. Text REtrieval Conference.
9.
Li, Wendong, et al.. (2017). Monitoring individuals with irregular semiparametric longitudinal behaviour. Quality Technology & Quantitative Management. 15(1). 37–52. 8 indexed citations
10.
Xiang, Dongdong, et al.. (2017). Directional monitoring of categorical processes with serial dependence. Computers & Industrial Engineering. 113. 502–511. 4 indexed citations
11.
Liang, Wenjuan, et al.. (2017). A robust multivariate sign control chart for detecting shifts in covariance matrix under the elliptical directions distributions. Quality Technology & Quantitative Management. 16(1). 113–127. 19 indexed citations
12.
Liang, Wenjuan, Xiaolong Pu, & Dongdong Xiang. (2016). A distribution-free multivariate CUSUM control chart using dynamic control limits. Journal of Applied Statistics. 44(11). 2075–2093. 10 indexed citations
13.
Li, Wendong, Xiaolong Pu, Fugee Tsung, & Dongdong Xiang. (2016). A robust self-starting spatial rank multivariate EWMA chart based on forward variable selection. Computers & Industrial Engineering. 103. 116–130. 45 indexed citations
14.
Zhang, Chi, Fugee Tsung, & Dongdong Xiang. (2016). Monitoring censored lifetime data with a weighted-likelihood scheme. Naval Research Logistics (NRL). 63(8). 631–646. 20 indexed citations
15.
Xiang, Dongdong, Fugee Tsung, & Xiaolong Pu. (2016). Statistical Process Control for Latent Quality Characteristics Using the Up-and-Down Test. Technometrics. 59(4). 496–507. 5 indexed citations
16.
Pu, Xiaolong, et al.. (2015). CUSUM chart for detecting range shifts when monotonicity of likelihood ratio is invalid. Journal of Applied Statistics. 42(8). 1635–1644. 7 indexed citations
17.
Qiu, Peihua & Dongdong Xiang. (2015). Surveillance of cardiovascular diseases using a multivariate dynamic screening system. Statistics in Medicine. 34(14). 2204–2221. 29 indexed citations
18.
Qiu, Peihua & Dongdong Xiang. (2013). Univariate Dynamic Screening System: An Approach For Identifying Individuals With Irregular Longitudinal Behavior. Technometrics. 56(2). 248–260. 49 indexed citations
19.
Zheng, Fang, et al.. (2013). GPU-Based Parallel Researches on RRTM Module of GRAPES Numerical Prediction System. Journal of Computers. 8(3). 10 indexed citations
20.
Wang, Lei, et al.. (2012). Asymptotic optimality of double sequential mixture likelihood ratio test. Journal of Statistical Computation and Simulation. 84(4). 916–929. 2 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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