Xiaoping Shi

794 citations
61 papers · 577 · h-index 15

Impact in

Papers in

Xiaoping Shi

53 papers receiving 561 citations

Peers

Xiaoping Shi
Comparison fields: 5 of 121
  • Statistics and Probability 113
  • Soil Science 70
  • Geochemistry and Petrology 37
  • Management Science and Operations Research 80
  • Chemical Health and Safety 4
Replace Mhamed Mesfioui with:
Mhamed Mesfioui Canada
Andrea Jonathan Pagano Italy
Baolin Li China
Vijay P. Singh United States
Nicholas C. Matalas United States
Joo-Cheol Kim South Korea
Jonathan Stroud United States
Guoyi Zhang United States
Richard L. Schmoyer United States
Sándor Baran Hungary
Xiaoping Shi relative to Mhamed Mesfioui Canada Mhamed Mesfioui's profile →
Citations per field
00.5×2×4×6×7.4×
Mhamed Mesfioui · 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 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201958
2 201637
3 200035
4 202031
5 202030
6 202228
7 202326
8 201022
9 201121
10 200921
11 202119
12 201519
13 199218
14 200817
15 199115
16 201714
17 201414
18 201614
19 202212
20 201711

About Xiaoping Shi

Xiaoping Shi is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Artificial Intelligence, Management Science and Operations Research and Safety, Risk, Reliability and Quality, having authored 61 papers that have together received 577 indexed citations. Recurring topics across this work include Statistical Methods and Inference (21 papers), Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Bayesian Inference (6 papers), Geoscience and Mining Technology (5 papers), Image and Signal Denoising Methods (4 papers), Probability and Risk Models (4 papers), Advanced Statistical Methods and Models (4 papers) and Rock Mechanics and Modeling (3 papers). The work is most often cited by research in Statistics and Probability (113 citations), Soil Science (70 citations), Geochemistry and Petrology (37 citations), Management Science and Operations Research (80 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 Guang Li, Jingjing Li, Calyampudi Radhakrishna Rao, Yinping Chen, Wei Li, Yayi Niu, Xiangwen Gong, Yuqiang Li and Jie Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Computational and Graphical Statistics, Symmetry, Environmental Earth Sciences and Canadian Journal of Statistics.

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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