Kailing Guo

629 total citations
36 papers, 398 citations indexed

About

Kailing Guo is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Kailing Guo has authored 36 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 8 papers in Artificial Intelligence. Recurrent topics in Kailing Guo's work include Emotion and Mood Recognition (8 papers), Advanced Neural Network Applications (6 papers) and EEG and Brain-Computer Interfaces (6 papers). Kailing Guo is often cited by papers focused on Emotion and Mood Recognition (8 papers), Advanced Neural Network Applications (6 papers) and EEG and Brain-Computer Interfaces (6 papers). Kailing Guo collaborates with scholars based in China, Australia and Italy. Kailing Guo's co-authors include Dacheng Tao, Bolun Cai, Xiangmin Xu, Bin Hu, Kui Jia, Xiaofen Xing, Liu Liu, Dong Xu, Ziyang Zhang and Yuan Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and Expert Systems with Applications.

In The Last Decade

Kailing Guo

32 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kailing Guo China 9 296 96 52 43 41 36 398
Yuanyuan Shang China 12 388 1.3× 60 0.6× 58 1.1× 21 0.5× 11 0.3× 47 503
Alireza Bosaghzadeh Iran 11 212 0.7× 55 0.6× 118 2.3× 24 0.6× 17 0.4× 34 311
Zhihao Gu China 10 305 1.0× 70 0.7× 120 2.3× 10 0.2× 24 0.6× 19 442
Yueli Cui China 9 237 0.8× 73 0.8× 43 0.8× 78 1.8× 35 0.9× 29 344
Daisuke Sugimura Japan 13 284 1.0× 83 0.9× 62 1.2× 26 0.6× 12 0.3× 37 389
Bruce Culbertson United States 10 374 1.3× 107 1.1× 12 0.2× 9 0.2× 32 0.8× 19 477
Erik Hjelmås United Kingdom 3 580 2.0× 58 0.6× 46 0.9× 23 0.5× 28 0.7× 3 649
Rogério Feris United States 12 424 1.4× 26 0.3× 64 1.2× 116 2.7× 24 0.6× 27 494
Constantin Vertan Romania 12 271 0.9× 89 0.9× 38 0.7× 25 0.6× 29 0.7× 78 411
K. Sobottka Switzerland 8 561 1.9× 68 0.7× 36 0.7× 22 0.5× 9 0.2× 15 646

Countries citing papers authored by Kailing Guo

Since Specialization
Citations

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

Fields of papers citing papers by Kailing Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kailing Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Kailing Guo. A scholar is included among the top collaborators of Kailing 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 Kailing Guo. Kailing 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.
Guo, Kailing, et al.. (2025). DCPTalk: Speech-Driven 3D Face Animation With Personalized Facial Dynamic Coupling Properties. IEEE Transactions on Multimedia. 27. 4427–4440.
2.
Guo, Kailing, et al.. (2025). Facial expression recognition based on multi-task self-distillation with coarse and fine grained labels. Expert Systems with Applications. 281. 127440–127440.
3.
Xing, Xiaofen, et al.. (2025). CSE-GResNet: A Simple and Highly Efficient Network for Facial Expression Recognition. IEEE Transactions on Affective Computing. 16(3). 1732–1746. 2 indexed citations
4.
Zhai, Yikui, Xiaofen Xing, Kailing Guo, et al.. (2025). CLIP-Vision Guided Few-Shot Metal Surface Defect Recognition. IEEE Transactions on Industrial Informatics. 21(5). 4273–4284. 1 indexed citations
5.
Liang, Zhihao, Hongdong Li, Kui Jia, Kailing Guo, & Qi Zhang. (2025). GUS-IR: Gaussian Splatting With Unified Shading for Inverse Rendering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(10). 8364–8378.
6.
Guo, Kailing, et al.. (2024). CorrTalk: Correlation Between Hierarchical Speech and Facial Activity Variances for 3D Animation. IEEE Transactions on Circuits and Systems for Video Technology. 34(9). 8953–8965. 7 indexed citations
7.
Guo, Kailing, et al.. (2024). Label-Guided Dynamic Spatial-Temporal Fusion for Video-Based Facial Expression Recognition. IEEE Transactions on Multimedia. 26. 10503–10513. 2 indexed citations
8.
Guo, Kailing, et al.. (2024). Tensor self-representation network for subspace clustering via alternating direction method of multipliers. Knowledge-Based Systems. 310. 112921–112921. 1 indexed citations
9.
Guo, Kailing, et al.. (2024). Compact Model Training by Low-Rank Projection With Energy Transfer. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 6708–6722. 2 indexed citations
10.
Wen, Yiting, et al.. (2023). Predicting case difficulty in endodontic microsurgery using machine learning algorithms. Journal of Dentistry. 133. 104522–104522. 7 indexed citations
11.
Xing, Xiaofen, et al.. (2023). Cross Range Quantization for Network Compression. 1–9.
12.
Xing, Xiaofen, et al.. (2022). Emotion Recognition With Knowledge Graph Based on Electrodermal Activity. Frontiers in Neuroscience. 16. 911767–911767. 8 indexed citations
13.
Liu, Fang, Xiangmin Xu, Xiaofen Xing, Kailing Guo, & Lin Wang. (2022). Simple-action-guided dictionary learning for complex action recognition. Neurocomputing. 501. 387–396. 5 indexed citations
14.
Xing, Xiaofen, et al.. (2022). Not All Electrode Channels Are Needed: Knowledge Transfer From Only Stimulated Brain Regions for EEG Emotion Recognition. Frontiers in Neuroscience. 16. 865201–865201. 3 indexed citations
15.
Liu, Fang, Feifei Qi, Xiaofen Xing, & Kailing Guo. (2021). Simple to complex dictionary learning for action recognition. 1–5. 1 indexed citations
16.
Guo, Kailing, et al.. (2019). Compressing by Learning in a Low-Rank and Sparse Decomposition Form. IEEE Access. 7. 150823–150832. 4 indexed citations
17.
Guo, Kailing, Tong Zhang, Xiangmin Xu, & Xiaofen Xing. (2019). Low-Rank Tensor Thresholding Ridge Regression. IEEE Access. 7. 153761–153772. 2 indexed citations
18.
Xu, Xiangmin, et al.. (2018). Learning Adaptive Selection Network for Real-Time Visual Tracking. 37. 1–6. 2 indexed citations
19.
Li, Haoyu, Xiangmin Xu, Bolun Cai, Kailing Guo, & Xiaofen Xing. (2018). Style Transfer at 100+ FPS Via Sub-Pixel Super-Resolution. 1–6. 2 indexed citations
20.
Guo, Kailing, Liu Liu, Xiangmin Xu, Dong Xu, & Dacheng Tao. (2017). GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy. IEEE Transactions on Neural Networks and Learning Systems. 29(6). 2323–2336. 40 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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