Jintao Guo

521 total citations
21 papers, 163 citations indexed

About

Jintao Guo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Jintao Guo has authored 21 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Materials Chemistry. Recurrent topics in Jintao Guo's work include Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Neural Network Applications (3 papers). Jintao Guo is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Neural Network Applications (3 papers). Jintao Guo collaborates with scholars based in China, Bangladesh and Australia. Jintao Guo's co-authors include Lei Qi, Yinghuan Shi, Yong Liu, Fuliang Jiang, Sheng‐Li Chen, Tingting Fan, Chen Guan, Changcheng Zhang, Wei Sun and Guan Chen and has published in prestigious journals such as Chemical Engineering Journal, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Jintao Guo

20 papers receiving 161 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jintao Guo China 8 47 35 24 23 19 21 163
Yuhan Cheng China 10 15 0.3× 17 0.5× 16 0.7× 15 0.7× 7 0.4× 34 237
Céline Helbert France 11 55 1.2× 6 0.2× 17 0.7× 28 1.2× 29 1.5× 26 303
Dongju Liu United States 6 34 0.7× 84 2.4× 7 0.3× 13 0.6× 5 0.3× 17 292
Peng Lin China 10 39 0.8× 37 1.1× 13 0.5× 14 0.6× 27 1.4× 47 332
Yafei Huang China 9 103 2.2× 8 0.2× 19 0.8× 28 1.2× 13 0.7× 25 296
Nitin Gawande United States 10 25 0.5× 18 0.5× 61 2.5× 22 1.0× 10 0.5× 17 347
Jian Wen China 13 49 1.0× 10 0.3× 13 0.5× 31 1.3× 12 0.6× 35 452
Tianchi Li China 10 25 0.5× 8 0.2× 33 1.4× 96 4.2× 46 2.4× 14 303
Marzieh Khosravi United States 7 19 0.4× 8 0.2× 8 0.3× 58 2.5× 18 0.9× 9 229

Countries citing papers authored by Jintao Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jintao Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jintao Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Jintao Guo. A scholar is included among the top collaborators of Jintao 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 Jintao Guo. Jintao 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.
Wang, Ruofan, et al.. (2025). A hybrid dual-augmentation constraint framework for single-source domain generalization in medical image segmentation. Pattern Recognition. 170. 112082–112082. 2 indexed citations
2.
Cheng, Zihan, Jintao Guo, Lei Qi, et al.. (2025). Mamba-Sea: A Mamba-Based Framework With Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation. IEEE Transactions on Medical Imaging. 44(9). 3741–3755. 2 indexed citations
3.
Xu, Ying, et al.. (2024). Aggregation behaviour of paraffin molecules with different branched distributions during crude oil gelling: A molecular dynamics study. Journal of Molecular Structure. 1320. 139501–139501. 3 indexed citations
4.
Qi, Lei, et al.. (2024). Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations. IEEE Transactions on Image Processing. 33. 1627–1642. 1 indexed citations
5.
Guo, Jintao, Lei Qi, Yinghuan Shi, & Yang Gao. (2024). SETA: Semantic-Aware Edge-Guided Token Augmentation for Domain Generalization. IEEE Transactions on Image Processing. 33. 5622–5636. 2 indexed citations
6.
Gao, Yang, Jintao Guo, Qi Lei, & Yinghuan Shi. (2024). START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation. 55286–55313.
7.
Guo, Jintao, Lei Qi, & Yinghuan Shi. (2023). DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization. 19057–19067. 26 indexed citations
8.
9.
Guo, Jintao, et al.. (2023). PLACE Dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain Generalization. ACM Transactions on Multimedia Computing Communications and Applications. 20(3). 1–23. 4 indexed citations
10.
Guo, Jintao, et al.. (2022). Measurement of pore diffusion factor of porous solid materials. Petroleum Science. 19(4). 1897–1904. 11 indexed citations
11.
Zhang, Zijing, et al.. (2021). Kinetics of microwave liquid-phase desorption with chemical dissociation: SO2 desorption of basic aluminum sulfate desulfurization rich liquid. Journal of the Taiwan Institute of Chemical Engineers. 129. 154–161. 3 indexed citations
12.
Jiang, Fuliang, et al.. (2021). Experimental study of the damage evolution and radon exhalation characteristics of quasi-uranium ore under constant amplitude cyclic loading and unloading. Journal of Radioanalytical and Nuclear Chemistry. 327(1). 373–384. 8 indexed citations
13.
Jiang, Fuliang, et al.. (2020). Comprehensive evaluation system for stability of multiple dams in a uranium tailings reservoir: based on the TOPSIS model and bow tie model. Royal Society Open Science. 7(4). 191566–191566. 17 indexed citations
14.
Lei, Bo, et al.. (2020). Investigation on the soil gas radon concentrations in Northwest Huahai Basin, Gansu Province, China. Journal of Radioanalytical and Nuclear Chemistry. 326(1). 1–9. 3 indexed citations
15.
Jiang, Fuliang, Guan Chen, Ming Li, et al.. (2019). Experimental study of different admixture effects on the properties of uranium mill tailing solidified bodies. Journal of Radioanalytical and Nuclear Chemistry. 322(2). 1159–1168. 10 indexed citations
16.
Chen, Sheng‐Li, et al.. (2019). A model for transient diffusion in bidisperse pore structures. Petroleum Science. 16(6). 1455–1470. 3 indexed citations
17.
Jiang, Fuliang, Jintao Guo, Xiaoli Wang, et al.. (2019). Experimental study on the leaching performance of U(VI) solidified by uranium tailing cement with different admixtures and ratios. Environmental Technology & Innovation. 17. 100506–100506. 7 indexed citations
18.
Chen, Sheng‐Li, et al.. (2019). The diffusion of molecules inside porous materials with bidisperse pore structures. Chemical Engineering Journal. 365. 201–219. 12 indexed citations
19.
Jiang, Fuliang, Jintao Guo, Xiangyang Li, et al.. (2018). Evaluation of a Lead-Zinc Mine's Ventilation System Based on Unascertained Measurement Model. 19. 208–211. 1 indexed citations
20.
Jiang, Fuliang, Ming Li, Jintao Guo, et al.. (2018). Evaluation of blasting effect based on analytic hierarchy process and cloud model in open-pit mines. 57–61. 2 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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