Yuting Guo

486 total citations · 1 hit paper
25 papers, 297 citations indexed

About

Yuting Guo is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuting Guo has authored 25 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yuting Guo's work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (6 papers) and Dental Radiography and Imaging (4 papers). Yuting Guo is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (6 papers) and Dental Radiography and Imaging (4 papers). Yuting Guo collaborates with scholars based in China, United States and Macao. Yuting Guo's co-authors include Shuai Li, Wenfeng Song, Aimin Hao, Yun Lu, Zhengdong Zhang, Shuai Li, Shuo Li, Yunpeng Zhou, Shanglong Liu and Lei Ding and has published in prestigious journals such as International Journal of Environmental Research and Public Health, International Journal of Computer Vision and Sustainability.

In The Last Decade

Yuting Guo

22 papers receiving 276 citations

Hit Papers

CenterFormer: A Novel Cluster Center Enhanced Transformer... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuting Guo China 9 144 107 102 47 40 25 297
Trupti Kolur India 5 96 0.7× 135 1.3× 32 0.3× 42 0.9× 26 0.7× 8 292
Ross D. Uthoff United States 6 112 0.8× 143 1.3× 25 0.2× 60 1.3× 23 0.6× 9 299
Hanya Mahmood United Kingdom 11 145 1.0× 159 1.5× 39 0.4× 35 0.7× 30 0.8× 21 419
Andreas Maier Germany 2 140 1.0× 119 1.1× 14 0.1× 25 0.5× 15 0.4× 3 269
Jyotsna Rimal Nepal 5 80 0.6× 133 1.2× 33 0.3× 21 0.4× 11 0.3× 10 269
Suthin Jinaporntham Thailand 5 87 0.6× 127 1.2× 30 0.3× 19 0.4× 9 0.2× 7 234
Nicola Altini Italy 12 153 1.1× 172 1.6× 37 0.4× 50 1.1× 50 1.3× 26 343
Tanushree Meena India 7 133 0.9× 100 0.9× 11 0.1× 71 1.5× 32 0.8× 15 291
Yassir Edrees Almalki Saudi Arabia 8 136 0.9× 100 0.9× 8 0.1× 35 0.7× 23 0.6× 32 258
Andrew Colucci United States 5 227 1.6× 84 0.8× 25 0.2× 71 1.5× 75 1.9× 8 380

Countries citing papers authored by Yuting Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuting Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yuting Guo. A scholar is included among the top collaborators of Yuting 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 Yuting Guo. Yuting Guo 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
1.
Zeng, Xiangxiang, Yuting Guo, Linlin Zhuo, et al.. (2025). MultiCTox: Empowering Accurate Cardiotoxicity Prediction through Adaptive Multimodal Learning. Journal of Chemical Information and Modeling. 65(7). 3517–3528. 1 indexed citations
2.
Yan, Xiaotian, Yuting Guo, Jinghao Li, et al.. (2025). ICA-SAMv7: Internal carotid artery segmentation with coarse to fine network. Computerized Medical Imaging and Graphics. 123. 102555–102555.
3.
Song, Wenfeng, et al.. (2024). CenterFormer: A Novel Cluster Center Enhanced Transformer for Unconstrained Dental Plaque Segmentation. IEEE Transactions on Multimedia. 26. 10965–10978. 51 indexed citations breakdown →
4.
Guo, Weihua, Lina Meng, Junyan Han, et al.. (2024). Intrinsic capacity and its association with predictors among Chinese empty nest older adults in communities: a latent class analysis. BMC Geriatrics. 24(1). 1008–1008. 3 indexed citations
5.
Xu, Wei, et al.. (2024). GC-UNet: Enhance UNet with GCN for Periodontitis Segmentation. 2740–2747. 1 indexed citations
6.
Guo, Yuting, et al.. (2024). Application of a Multi-Model Fusion Forecasting Approach in Runoff Prediction: A Case Study of the Yangtze River Source Region. Sustainability. 16(14). 5964–5964. 1 indexed citations
7.
Guo, Yuting, et al.. (2023). Complex-Valued U-Net with Capsule Embedded for Semantic Segmentation of PolSAR Image. Remote Sensing. 15(5). 1371–1371. 3 indexed citations
8.
Song, Wenfeng, et al.. (2023). Automatic Generation of 3D Scene Animation Based on Dynamic Knowledge Graphs and Contextual Encoding. International Journal of Computer Vision. 131(11). 2816–2844. 11 indexed citations
9.
Yang, Le, Dan Guo, Jiaming Zheng, Yuting Guo, & Zeyuan Li. (2023). Association between Social Participation and Remaining Teeth and Urban–Rural Difference among Older Adults in China. International Journal of Environmental Research and Public Health. 20(2). 1283–1283. 5 indexed citations
10.
Guo, Yuting, et al.. (2023). Weakly Supervised Semantic Segmentation of PolSAR Image Based on Improved SEAM. Journal of Physics Conference Series. 2456(1). 12003–12003. 1 indexed citations
11.
Guo, Yuting, et al.. (2021). An unsupervised generative adversarial network for single image deraining. IET Image Processing. 15(13). 3105–3117. 2 indexed citations
12.
Guo, Yuting, et al.. (2021). Symmetry broken solutions of coupled non-local nonlinear Schrödinger equations with variable coefficients. Optik. 247. 168042–168042. 2 indexed citations
13.
Guo, Yuting, et al.. (2021). Complex-valued U-Net for PolSAR Image Semantic Segmentation. Journal of Physics Conference Series. 2010(1). 12102–12102. 2 indexed citations
14.
Ding, Lei, Xianxiang Zhang, Shanglong Liu, et al.. (2020). A deep learning nomogram kit for predicting metastatic lymph nodes in rectal cancer. Cancer Medicine. 9(23). 8809–8820. 18 indexed citations
15.
16.
Ding, Lei, Yunpeng Zhou, Shuai Li, et al.. (2019). Artificial intelligence system of faster region-based convolutional neural network surpassing senior radiologists in evaluation of metastatic lymph nodes of rectal cancer. Chinese Medical Journal. 132(4). 379–387. 36 indexed citations
17.
Gao, Yuan, Zhengdong Zhang, Shuo Li, et al.. (2019). Deep neural network-assisted computed tomography diagnosis of metastatic lymph nodes from gastric cancer. Chinese Medical Journal. 132(23). 2804–2811. 42 indexed citations
18.
Guo, Yuting, et al.. (2019). Detection of Metastatic Lymph Nodules in Gastric Cancer Using Deep Convolutional Neural Networks. 37. 942–947. 3 indexed citations
19.
Liu, Shanglong, Shuo Li, Yuting Guo, et al.. (2019). Establishment and application of an artificial intelligence diagnosis system for pancreatic cancer with a faster region-based convolutional neural network. Chinese Medical Journal. 132(23). 2795–2803. 57 indexed citations

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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