Mengyang Gu

845 citations
36 papers · 491 indexed · h-index 10
Topics
Gaussian Processes and Bayesian Inference (9 papers)Advanced Multi-Objective Optimization Algorithms (7 papers)Machine Learning in Materials Science (5 papers)
Journals
ScienceThe Journal of Chemical PhysicsSHILAP Revista de lepidopterología

In The Last Decade

Mengyang Gu

31 papers receiving 479 citations

Peers

Mengyang Gu
Comparison fields: 5 of 95
  • Artificial Intelligence 133
  • Geophysics 113
  • Computational Theory and Mathematics 90
  • Statistics, Probability and Uncertainty 68
  • Atmospheric Science 58
Replace Antti Solonen with:
Antti Solonen Finland
Lijun Zhu China
James Wong Australia
Simon Byrne United States
D. Rousseau France
Vasileios Maroulas United States
Nikolay V. Smirnov Russia
Roberto Garra Italy
Asbjørn Nilsen Riseth United Kingdom
Mengyang Gu relative to Antti Solonen Finland Antti Solonen's profile →
Citations per field
00.5×4.3×
Antti Solonen · 1×
Citations per year

Countries citing papers authored by Mengyang Gu

Since Specialization
Citations

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

Fields of papers citing papers by Mengyang Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengyang Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Mengyang Gu. A scholar is included among the top collaborators of Mengyang Gu 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 Mengyang Gu. Mengyang Gu 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
#WorkIndexed citations
1 0
2 5
3 0
4 1
5 0
6 1
7 0
8 7
9 5
10 5
11 9
12 6
13 5
14 5
15 16
16 4
17 3
18 16
19 125
20 24

About Mengyang Gu

Mengyang Gu is a scholar working on Modeling and Simulation, Statistics and Probability and Computational Theory and Mathematics, having authored 36 papers that have together received 491 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (9 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Machine Learning in Materials Science (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (68 citations), Geophysics (113 citations) and Computational Theory and Mathematics (90 citations). Mengyang Gu has collaborated with scholars based in United States, Netherlands and Saudi Arabia. Frequent co-authors include James O. Berger, Xiaojing Wang, Long Wang, I. A. Johanson, M. R. Patrick, E. K. Montgomery‐Brown, A. Miklius, M. P. Poland, K. R. Anderson and P. Segall. Their work appears in journals such as Science, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

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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