Ye Gao

56 total papers · 757 total citations
33 papers, 382 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 382 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 Intermetallics and Advanced Alloy Properties (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 Intermetallics and Advanced Alloy Properties (3 papers). Ye Gao collaborates with scholars based in China, Japan and Macao. Ye Gao's co-authors include Xifeng Guo, Di Zheng, Yi Ning, Dan Shan, Yang Wang, Yupeng Li, Hui Li, Peng Wang, Imari Sato and Zhihang Zhong 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

27 papers receiving 372 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ye Gao	207	131	109	59	35	33	382
Ying Liu	209 1.0×	66 0.5×	116 1.1×	52 0.9×	20 0.6×	27	441
Zhirui Tian	234 1.1×	142 1.1×	37 0.3×	67 1.1×	19 0.5×	29	368
Miguel Delgado Calvo-Flores	107 0.5×	164 1.3×	137 1.3×	70 1.2×	25 0.7×	21	443
Seungmin Jung	183 0.9×	88 0.7×	49 0.4×	42 0.7×	37 1.1×	19	383
Chaodong Fan	144 0.7×	95 0.7×	83 0.8×	57 1.0×	9 0.3×	30	339
Arpit Kumar Sharma	123 0.6×	96 0.7×	93 0.9×	48 0.8×	20 0.6×	29	370
Kfir Y. Levy	172 0.8×	176 1.3×	31 0.3×	60 1.0×	31 0.9×	26	409
Yi Ning	225 1.1×	90 0.7×	32 0.3×	49 0.8×	36 1.0×	30	354
A. Ikonomopoulos	196 0.9×	112 0.9×	49 0.4×	56 0.9×	9 0.3×	41	445
Xiaofen Lu	137 0.7×	256 2.0×	65 0.6×	76 1.3×	13 0.4×	21	444

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

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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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