Yiming Peng

1.4k total citations · 1 hit paper
15 papers, 940 citations indexed

About

Yiming Peng is a scholar working on Statistics, Probability and Uncertainty, Medical Laboratory Technology and Statistics and Probability. According to data from OpenAlex, Yiming Peng has authored 15 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics, Probability and Uncertainty, 3 papers in Medical Laboratory Technology and 3 papers in Statistics and Probability. Recurrent topics in Yiming Peng's work include Advanced Statistical Process Monitoring (7 papers), Scientific Measurement and Uncertainty Evaluation (5 papers) and Quality and Safety in Healthcare (3 papers). Yiming Peng is often cited by papers focused on Advanced Statistical Process Monitoring (7 papers), Scientific Measurement and Uncertainty Evaluation (5 papers) and Quality and Safety in Healthcare (3 papers). Yiming Peng collaborates with scholars based in United States, China and Netherlands. Yiming Peng's co-authors include Yanxu Zhang, Peipei Wu, Amina T. Schartup, William H. Woodall, Paul A. Estabrooks, Julie C. Dunsmore, Jyoti Savla, Andrea M. Dietrich, Brenda M. Davy and Shaun K. Riebl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Colloids and Surfaces A Physicochemical and Engineering Aspects.

In The Last Decade

Yiming Peng

14 papers receiving 919 citations

Hit Papers

Plastic waste release caused by COVID-19 and its fate in ... 2021 2026 2022 2024 2021 100 200 300

Peers

Yiming Peng
Comparison fields: 5 of 133
  • Pollution 304
  • Industrial and Manufacturing Engineering 238
  • Health, Toxicology and Mutagenesis 163
  • Statistics, Probability and Uncertainty 141
  • Public Health, Environmental and Occupational Health 137
Replace Charles L. Geraci with:
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A. B. M. Saiful Islam Malaysia
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Charles L. Geraci United States View profile →
Citations per field, relative to Yiming Peng
Yiming Peng · 1×
Citations per year, relative to Yiming Peng
Yiming Peng · 1×

Countries citing papers authored by Yiming Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yiming Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiming Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Yiming Peng. A scholar is included among the top collaborators of Yiming Peng 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 Yiming Peng. Yiming Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 77
3 7
4 39
5 136
6
Plastic waste release caused by COVID-19 and its fate in the global ocean breakdown →
368
7 13
8 166
9 6
10 5
11
The monitoring of linear profiles with a GLR control chart
1
12 11
13 5
14 73
15 33

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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