Ye Luo

1.2k total citations
38 papers, 652 citations indexed

About

Ye Luo is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ye Luo has authored 38 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 9 papers in Electrical and Electronic Engineering and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ye Luo's work include Statistical Methods and Inference (6 papers), Machine Learning in Materials Science (5 papers) and Advanced Chemical Physics Studies (5 papers). Ye Luo is often cited by papers focused on Statistical Methods and Inference (6 papers), Machine Learning in Materials Science (5 papers) and Advanced Chemical Physics Studies (5 papers). Ye Luo collaborates with scholars based in United States, China and Japan. Ye Luo's co-authors include Ji-Hui Yang, Aron Walsh, Shiyou Chen, Xiu Gong, Su‐Huai Wei, Sandro Sorella, Andrea Zen, Victor Chernozhukov, Anouar Benali and Iván Fernández‐Val and has published in prestigious journals such as The Journal of Chemical Physics, American Economic Review and Econometrica.

In The Last Decade

Ye Luo

33 papers receiving 642 citations

Peers

Ye Luo
Comparison fields: 5 of 91
  • Materials Chemistry 392
  • Electrical and Electronic Engineering 317
  • Atomic and Molecular Physics, and Optics 142
  • Electronic, Optical and Magnetic Materials 61
  • Condensed Matter Physics 37
Replace Éric Gautier with:
Éric Gautier France
Baozhen Li United States
Stefan Gerhold Austria
Pu Gong China
Tommaso Minerva Italy
Stanislav S. Borysov Sweden
Andreas Rudolph Germany
Y.F. Chen Taiwan
Yuxian Liu China
V. K. Malinovskiǐ Russia
Éric Gautier France View profile →
Citations per field, relative to Ye Luo
Ye Luo · 1×
Citations per year, relative to Ye Luo
Ye Luo · 1×

Countries citing papers authored by Ye Luo

Since Specialization
Citations

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

Fields of papers citing papers by Ye Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Luo. A scholar is included among the top collaborators of Ye Luo 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 Ye Luo. Ye Luo 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
# Work Indexed citations
1 0
2 0
3 3
4 0
5 3
6 3
7 7
8 25
9
Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions
1
10 15
11 43
12 6
13 9
14 1
15 7
16 26
17 5
18 36
19 270
20
Application of Data Mining in Telecom Customer Segmentation
0

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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