Xiaoping Shi

753 total citations
59 papers, 529 citations indexed

About

Xiaoping Shi is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Xiaoping Shi has authored 59 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 6 papers in Management Science and Operations Research. Recurrent topics in Xiaoping Shi's work include Statistical Methods and Inference (19 papers), Bayesian Methods and Mixture Models (6 papers) and Statistical Methods and Bayesian Inference (5 papers). Xiaoping Shi is often cited by papers focused on Statistical Methods and Inference (19 papers), Bayesian Methods and Mixture Models (6 papers) and Statistical Methods and Bayesian Inference (5 papers). Xiaoping Shi collaborates with scholars based in China, Canada and United States. Xiaoping Shi's co-authors include Yuehua Wu, Zhi Li, Miao Bai-qi, Jingjing Li, Xiangwen Gong, Wei Li, Yinping Chen, Yuqiang Li, Yayi Niu and Calyampudi Radhakrishna Rao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Geoderma.

In The Last Decade

Xiaoping Shi

51 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoping Shi China 15 100 85 78 71 70 59 529
Jinting Zhang China 12 120 1.2× 187 2.2× 20 0.3× 66 0.9× 24 0.3× 29 546
Christian Lavergne France 13 69 0.7× 69 0.8× 30 0.4× 102 1.4× 9 0.1× 34 560
Andy Pole United Kingdom 7 84 0.8× 42 0.5× 79 1.0× 88 1.2× 14 0.2× 9 424
Ibrahim Mohamed Malaysia 14 135 1.4× 34 0.4× 39 0.5× 147 2.1× 6 0.1× 92 732
Jien Chen Hong Kong 7 67 0.7× 246 2.9× 17 0.2× 42 0.6× 6 0.1× 8 582
Richard L. Schmoyer United States 11 97 1.0× 163 1.9× 59 0.8× 39 0.5× 4 0.1× 33 522
G. D. Anderson United States 23 49 0.5× 74 0.9× 31 0.4× 26 0.4× 25 0.4× 63 2.1k
Guoyi Zhang United States 9 65 0.7× 45 0.5× 27 0.3× 41 0.6× 5 0.1× 31 360
Jonathan Stroud United States 17 90 0.9× 150 1.8× 134 1.7× 156 2.2× 13 0.2× 35 1.1k

Countries citing papers authored by Xiaoping Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Shi. A scholar is included among the top collaborators of Xiaoping Shi 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 Xiaoping Shi. Xiaoping Shi 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.
Zhong, Jianxin, et al.. (2025). Energy-based segmentation methods for images with non-Gaussian noise. Scientific Reports. 15(1). 25707–25707.
2.
Zhang, Ao, et al.. (2024). The impact of narcissistic leadership on organizational support: A study based on a sample of strategic emerging industries. Systems Research and Behavioral Science. 42(4). 1263–1276.
3.
Li, Dailin, et al.. (2024). Multiple adaptive fusion network with Mittag Leffler IoU loss for aircraft detection in remote sensing images. Cluster Computing. 28(2). 2 indexed citations
4.
Zhang, Jie, et al.. (2024). DSU-Net: A Dynamic Stage Unfolding Network for high-noise image compressive sensing denoising. Neurocomputing. 618. 129071–129071. 1 indexed citations
5.
Zhang, Miao, Luwang Chen, Xiaowei Hou, et al.. (2024). Patterns of spatiotemporal variations in the hydrochemistry and controlling factors of bedrock aquifers in the northern region of the Linhuan mining area. Journal of Contaminant Hydrology. 267. 104450–104450. 1 indexed citations
6.
Zhang, Jie, et al.. (2024). DCTnet: a double-channel transformer network for peach disease detection using UAVs. Complex & Intelligent Systems. 11(1). 1 indexed citations
7.
Wang, Leiming, et al.. (2023). Plate structure optimization and performance study of a new continuous flow electrocoagulation reactor. Process Safety and Environmental Protection. 194. 693–704. 5 indexed citations
8.
Shi, Xiaoping, et al.. (2023). Two-Sample Tests Based on Data Depth. Entropy. 25(2). 238–238. 1 indexed citations
9.
Dong, Yucheng, et al.. (2023). Global analysis of the COVID‐19 policy activity levels and evolution patterns: A cross‐sectional study. Health Science Reports. 6(6). e1350–e1350. 1 indexed citations
10.
Shi, Xiaoping, et al.. (2023). Fuzzy C-Means Clustering: A Review of Applications in Breast Cancer Detection. Entropy. 25(7). 1021–1021. 22 indexed citations
11.
Shi, Xiaoping, et al.. (2022). Degradation of Methyl Orange by ozone microbubble process with packing in the bubble column reactor. Environmental Technology. 44(17). 2512–2524. 8 indexed citations
12.
Shi, Xiaoping & Yuehua Wu. (2021). An Empirical-Characteristic-Function-Based Change-Point Test for Detection of Multiple Distributional Changes. Journal of Statistical Theory and Practice. 15(2). 1 indexed citations
13.
Teng, Zhidong, et al.. (2018). Comparison of three SIS epidemic models: deterministic, stochastic and uncertain. Journal of Intelligent & Fuzzy Systems. 35(5). 5785–5796. 6 indexed citations
14.
Yang, Wenzhi, et al.. (2016). Approximations to inverse moments of double-indexed weighted sums. Journal of Mathematical Analysis and Applications. 440(2). 833–852. 3 indexed citations
15.
Shi, Xiaoping, Russell S. Crosbie, & Jai Vaze. (2015). Long-term trends in the annual groundwater recharge estimates using the water table fluctuation method. Lancaster EPrints (Lancaster University). 2 indexed citations
16.
Shi, Xiaoping, Nancy Reid, & Yuehua Wu. (2014). Approximation to the moments of ratios of cumulative sums. Canadian Journal of Statistics. 42(2). 325–336. 9 indexed citations
17.
Wu, Tiee‐Jian, Xiaoping Shi, & Miao Bai-qi. (2009). Asymptotic approximation of inverse moments of nonnegative random variables. Statistics & Probability Letters. 79(11). 1366–1371. 21 indexed citations
18.
Shi, Xiaoping, et al.. (2000). UVA Light-Induced DNA Cleavage by Selected Polycyclic Aromatic Hydrocarbons. Bulletin of Environmental Contamination and Toxicology. 64(4). 467–474. 34 indexed citations
19.
Shi, Xiaoping, et al.. (1992). Transplacental genotoxicity of triethylenemelamine, benzene, and vinblastine in mice. Teratogenesis Carcinogenesis and Mutagenesis. 12(5). 223–230. 17 indexed citations
20.
Shi, Xiaoping, et al.. (1991). Studies on three structurally related phenylenediamines with the mouse micronucleus assay system. Mutation Research/Genetic Toxicology. 259(1). 43–48. 16 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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