Yuying Ge

47 total papers · 1.1k total citations
10 papers, 525 citations indexed

About

Yuying Ge is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Yuying Ge has authored 10 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Computational Mechanics. Recurrent topics in Yuying Ge's work include Multimodal Machine Learning Applications (4 papers), Image Enhancement Techniques (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Yuying Ge is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Image Enhancement Techniques (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Yuying Ge collaborates with scholars based in Hong Kong, China and Singapore. Yuying Ge's co-authors include Ping Luo, Ruimao Zhang, Xiaogang Wang, Xiaoou Tang, Wei Liu, Yibing Song, Chongjian Ge, Yixiao Ge, Ying Shan and Han Yang and has published in prestigious journals such as IEEE Transactions on Image Processing.

In The Last Decade

Yuying Ge

9 papers receiving 509 citations

Author Peers

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

Author						Papers	Cites
Yuying Ge	439	103	99	54	50	10	525
Paul Upchurch	340 0.8×	64 0.6×	33 0.3×	54 1.0×	48 1.0×	6	450
Xiaobao Guo	300 0.7×	71 0.7×	78 0.8×	51 0.9×	8 0.2×	12	470
Jiemin Fang	377 0.9×	144 1.4×	75 0.8×	83 1.5×	27 0.5×	20	505
Yingchen Yu	436 1.0×	89 0.9×	56 0.6×	91 1.7×	26 0.5×	19	525
Guocheng Qian	249 0.6×	152 1.5×	166 1.7×	82 1.5×	12 0.2×	20	544
Iro Laina	386 0.9×	147 1.4×	88 0.9×	106 2.0×	11 0.2×	13	497
Feng Wang	242 0.6×	245 2.4×	27 0.3×	23 0.4×	17 0.3×	15	504
Yilun Du	388 0.9×	118 1.1×	238 2.4×	218 4.0×	16 0.3×	16	600
Song-Chun Zhu	468 1.1×	73 0.7×	57 0.6×	19 0.4×	7 0.1×	7	542
Brian Bramer	243 0.6×	40 0.4×	192 1.9×	246 4.6×	22 0.4×	8	526

Countries citing papers authored by Yuying Ge

Since Specialization

Citations

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

Fields of papers citing papers by Yuying Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuying Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Yuying Ge. A scholar is included among the top collaborators of Yuying Ge 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 Yuying Ge. Yuying Ge 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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