Ye Gao

772 total citations
33 papers, 395 citations indexed

About

Ye Gao is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Ye Gao has authored 33 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Ye Gao's work include Energy Load and Power Forecasting (5 papers), Advanced materials and composites (4 papers) and Data Mining Algorithms and Applications (3 papers). Ye Gao is often cited by papers focused on Energy Load and Power Forecasting (5 papers), Advanced materials and composites (4 papers) and Data Mining Algorithms and Applications (3 papers). Ye Gao collaborates with scholars based in China, Japan and Australia. Ye Gao's co-authors include Xifeng Guo, Di Zheng, Yi Ning, Dan Shan, Hui Li, Peng Wang, Yang Wang, Yupeng Li, Zhihang Zhong and Shan Li and has published in prestigious journals such as Applied Energy, Materials Science and Engineering A and International Journal of Computer Vision.

In The Last Decade

Ye Gao

28 papers receiving 382 citations

Peers

Ye Gao
Comparison fields: 5 of 76
  • Electrical and Electronic Engineering 216
  • Artificial Intelligence 133
  • Computer Vision and Pattern Recognition 109
  • Management Science and Operations Research 60
  • Building and Construction 36
Replace Xifeng Guo with:
Xifeng Guo China
Zhirui Tian China
Lorena Calavia Spain
Seungwon Jung South Korea
Chaodong Fan China
Anne Carolina Rodrigues Klaar Brazil
C. Senabre Spain
Xifeng Guo China View profile →
Citations per field, relative to Ye Gao
Ye Gao · 1×
Citations per year, relative to Ye Gao
Ye Gao · 1×

Countries citing papers authored by Ye Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ye Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Gao. A scholar is included among the top collaborators of Ye Gao 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 Gao. Ye Gao 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 1
2 0
3 0
4 7
5 0
6 6
7 1
8 1
9 5
10 7
11 1
12 68
13 121
14
Enhancing Interaction through the Effective Incorporation of Technology Tools for a Virtual Chinese Language Classroom
1
15 6
16 1
17 8
18 3
19
A Study of design for Network on Chip
1
20
Application of linear motor to numerically controlled machine tool and the prospect
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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