Xiaoping Shi

774 citations
59 papers · 545 · h-index 15

Impact in

Papers in

    • Statistical Methods and Inference 20
    • Statistical Methods and Bayesian Inference 6
    • Advanced Statistical Methods and Models 4
    • Statistical Distribution Estimation and Applications 3
    • Bayesian Methods and Mixture Models 7

Xiaoping Shi

52 papers receiving 529 citations

Peers

Xiaoping Shi
Comparison fields: 5 of 120
  • Statistics and Probability 101
  • Soil Science 70
  • Management Science and Operations Research 80
  • Geochemistry and Petrology 37
  • Chemical Health and Safety 4
Replace Luigi Spezia with:
Luigi Spezia United Kingdom
Vijay P. Singh United States
Mhamed Mesfioui Canada
Ibrahim Mohamed Malaysia
Nicholas C. Matalas United States
Raphaël Huser Saudi Arabia
K. F. Turkman Portugal
Guoyi Zhang United States
Álvaro Veiga Brazil
Andrea Jonathan Pagano Italy
Xiaoping Shi relative to Luigi Spezia United Kingdom Luigi Spezia's profile →
Citations per field
00.5×
Luigi Spezia · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Xiaoping Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoping Shi Line = papers co-authored together Xiaoping Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201959
2 200034
3 201634
4 202031
5 202029
6 202228
7 202323
8 201022
9 200921
10 202119
11 201118
12 201518
13 199217
14 199116
15 200816
16 201713
17 201412
18 202210
19 201710
20 20149

About Xiaoping Shi

Xiaoping Shi is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition and Mechanics of Materials, having authored 59 papers that have together received 545 indexed citations. Recurring topics across this work include Statistical Methods and Inference (20 papers), Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Bayesian Inference (6 papers), Geoscience and Mining Technology (5 papers), Probability and Risk Models (4 papers), Image and Signal Denoising Methods (4 papers), Advanced Statistical Methods and Models (4 papers) and Statistical Distribution Estimation and Applications (3 papers). The work is most often cited by research in Statistics and Probability (101 citations), Soil Science (70 citations), Management Science and Operations Research (80 citations), Geochemistry and Petrology (37 citations) and Chemical Health and Safety (4 citations). Xiaoping Shi has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yuehua Wu, Zhi Li, Jingjing Li, Xiangwen Gong, Yinping Chen, Wei Li, Yuqiang Li, Yayi Niu, Calyampudi Radhakrishna Rao and Yanping Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Environmental Earth Sciences, Journal of Computational and Graphical Statistics, Canadian Journal of Statistics and Scientific Reports.

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.

Explore authors with similar magnitude of impact