Xiaobao Guo

764 total citations
12 papers, 489 citations indexed

About

Xiaobao Guo is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaobao Guo has authored 12 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Signal Processing, 4 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaobao Guo's work include Speech and Audio Processing (3 papers), Music and Audio Processing (2 papers) and Deception detection and forensic psychology (2 papers). Xiaobao Guo is often cited by papers focused on Speech and Audio Processing (3 papers), Music and Audio Processing (2 papers) and Deception detection and forensic psychology (2 papers). Xiaobao Guo collaborates with scholars based in Singapore, China and United States. Xiaobao Guo's co-authors include Jinxing Li, Guangming Lu, Wei Liu, Han Yang, Wangmeng Zuo, Ruimao Zhang, Ping Luo, Yong Xu, David Zhang and Feng Wu and has published in prestigious journals such as IEEE Transactions on Image Processing, Journal of Cellular Biochemistry and IEEE Transactions on Multimedia.

In The Last Decade

Xiaobao Guo

12 papers receiving 468 citations

Peers

Xiaobao Guo

CVPR

MT

CM

AI

RNMI

Xiawu Zheng China

Phu‐Hung Dinh Vietnam

Sen He China

Yijun Xiao China

Partha Bhowmick India

Omri Avrahami Israel

Pingbo Pan Australia

Iyad F. Jafar Jordan

Nikolaos Zioulis Greece

Xiawu Zheng China

Xiaobao Guo

338 ×1.1

CVPR

56 ×0.3

MT

56 ×0.7

CM

225 ×2.9

AI

16 ×0.3

RNMI

Citations per year, relative to Xiaobao Guo Xiaobao Guo (= 1×) peers Xiawu Zheng

Countries citing papers authored by Xiaobao Guo

Since Specialization

Citations

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

Fields of papers citing papers by Xiaobao Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobao Guo

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

All Works

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12 of 12 papers shown

1.

Yu, Zitong, et al.. (2024). Flexible-Modal Deception Detection with Audio-Visual Adapter. 1–10. 3 indexed citations

2.

Zhao, R. P., Chengwei Qin, Bosheng Ding, et al.. (2023). Retrieving Multimodal Information for Augmented Generation: A Survey. 4736–4756. 30 indexed citations

3.

Guo, Xiaobao, Alex C. Kot, & Adams Wai‐Kin Kong. (2023). Pace-Adaptive and Noise-Resistant Contrastive Learning for Multimodal Feature Fusion. IEEE Transactions on Multimedia. 25. 9437–9448. 3 indexed citations

4.

Guo, Xiaobao, et al.. (2023). Adapter Incremental Continual Learning of Efficient Audio Spectrogram Transformers. 909–913. 5 indexed citations

5.

Guo, Xiaobao, et al.. (2023). Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learning. 22078–22088. 9 indexed citations

6.

Guo, Xiaobao, Adams Wai‐Kin Kong, & Alex C. Kot. (2022). Deep Multimodal Sequence Fusion by Regularized Expressive Representation Distillation. IEEE Transactions on Multimedia. 25. 2085–2096. 17 indexed citations

7.

Guo, Xiaobao, Adams Wai‐Kin Kong, Huan Zhou, Xianfeng Wang, & Min Wang. (2021). Unimodal and Crossmodal Refinement Network for Multimodal Sequence Fusion. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 9143–9153. 4 indexed citations

8.

Yang, Han, Ruimao Zhang, Xiaobao Guo, et al.. (2020). Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content. The HKU Scholars Hub (University of Hong Kong). 7847–7856. 173 indexed citations

9.

Li, Jinxing, Xiaobao Guo, Guangming Lu, et al.. (2020). DRPL: Deep Regression Pair Learning for Multi-Focus Image Fusion. IEEE Transactions on Image Processing. 29. 4816–4831. 168 indexed citations

10.

Guo, Xiaobao, Jinxing Li, Bingzhi Chen, & Guangming Lu. (2019). Mask-Most Net: Mask Approximation Based Multi-oriented Scene Text Detection Network. 4. 206–211. 2 indexed citations

11.

Chen, Bingzhi, Jinxing Li, Xiaobao Guo, & Guangming Lu. (2019). DualCheXNet: dual asymmetric feature learning for thoracic disease classification in chest X-rays. Biomedical Signal Processing and Control. 53. 101554–101554. 65 indexed citations

12.

Xu, Lingyuan, et al.. (2019). Total flavonoids, extracted from Polygonum knotweed L, exert beneficial hepatoprotection against liver injury. Journal of Cellular Biochemistry. 120(8). 12677–12683. 10 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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