Yimo Guo

756 total citations
14 papers, 389 citations indexed

About

Yimo Guo is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Yimo Guo has authored 14 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 2 papers in Experimental and Cognitive Psychology and 2 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Yimo Guo's work include Advanced Vision and Imaging (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Yimo Guo is often cited by papers focused on Advanced Vision and Imaging (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Yimo Guo collaborates with scholars based in China, Finland and Mexico. Yimo Guo's co-authors include Guoying Zhao, Matti Pietikäinen, Zhengguang Xu, Ziheng Zhou, Jie Chen, Raúl E. Sánchez-Yáñez, Matti Pietikäinen, Jinhuan Yang, Huan Zhang and Juejin Wang and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Yimo Guo

11 papers receiving 364 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yimo Guo China 8 322 67 65 64 38 14 389
Yueli Cui China 9 237 0.7× 78 1.2× 27 0.4× 43 0.7× 73 1.9× 29 344
Dinh Viet Sang Vietnam 10 226 0.7× 66 1.0× 21 0.3× 120 1.9× 57 1.5× 46 394
Ville Ojansivu Finland 11 462 1.4× 28 0.4× 130 2.0× 67 1.0× 127 3.3× 15 556
Ya Su China 10 246 0.8× 20 0.3× 63 1.0× 64 1.0× 34 0.9× 23 333
Yuanrong Xu China 8 240 0.7× 7 0.1× 90 1.4× 95 1.5× 61 1.6× 25 363
Ngoc‐Son Vu France 11 397 1.2× 23 0.3× 91 1.4× 47 0.7× 64 1.7× 28 467
Walid Hariri Algeria 6 193 0.6× 24 0.4× 64 1.0× 44 0.7× 7 0.2× 21 263
Jean-Christophe Burie France 13 300 0.9× 14 0.2× 51 0.8× 102 1.6× 51 1.3× 44 515
Md Sah Hj Salam Malaysia 8 148 0.5× 15 0.2× 34 0.5× 112 1.8× 34 0.9× 17 276

Countries citing papers authored by Yimo Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yimo Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yimo Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yimo Guo. A scholar is included among the top collaborators of Yimo Guo 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 Yimo Guo. Yimo Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Yang, Yi‐Hsin, Zhiyuan Bo, Jingxian Wang, et al.. (2024). Machine learning based on alcohol drinking-gut microbiota-liver axis in predicting the occurrence of early-stage hepatocellular carcinoma. BMC Cancer. 24(1). 1468–1468. 5 indexed citations
2.
3.
Zhang, Zhiguo, et al.. (2023). AMSA-CAFF Net: Counting and high-quality density map estimation from X-ray images of electronic components. Expert Systems with Applications. 237. 121602–121602.
4.
Guo, Yimo, Guoying Zhao, & Matti Pietikäinen. (2016). Dynamic Facial Expression Recognition With Atlas Construction and Sparse Representation. IEEE Transactions on Image Processing. 25(5). 1977–1992. 44 indexed citations
5.
Guo, Yimo, et al.. (2014). Local spatiotemporal features for dynamic texture synthesis. EURASIP Journal on Image and Video Processing. 2014(1). 3 indexed citations
6.
Guo, Yimo, Guoying Zhao, Ziheng Zhou, & Matti Pietikäinen. (2013). Video Texture Synthesis With Multi-Frame LBP-TOP and Diffeomorphic Growth Model. IEEE Transactions on Image Processing. 22(10). 3879–3891. 14 indexed citations
7.
Guo, Yimo. (2013). Image and video analysis by local descriptors and deformable image registration. 8 indexed citations
8.
Guo, Yimo, Guoying Zhao, & Matti Pietikäinen. (2012). Discriminative features for texture description. Pattern Recognition. 45(10). 3834–3843. 155 indexed citations
9.
Zhou, Ziheng, Guoying Zhao, Yimo Guo, & Matti Pietikäinen. (2012). An Image-Based Visual Speech Animation System. IEEE Transactions on Circuits and Systems for Video Technology. 22(10). 1420–1432. 28 indexed citations
10.
Guo, Yimo, Guoying Zhao, & Matti Pietikäinen. (2011). Texture Classification using a Linear Configuration Model based Descriptor. 119.1–119.10. 68 indexed citations
11.
Guo, Yimo, et al.. (2009). Dynamic texture synthesis using a spatial temporal descriptor. 2277–2280. 7 indexed citations
12.
Guo, Yimo & Zhengguang Xu. (2008). Ear recognition using a new local matching approach. 289–292. 35 indexed citations
13.
Guo, Yimo, et al.. (2006). Emotion Recognition System in Images Based On Fuzzy Neural Network and HMM. 73–78. 21 indexed citations
14.

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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2026