Ruichao Hou

899 total citations
37 papers, 650 citations indexed

About

Ruichao Hou is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Ruichao Hou has authored 37 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 22 papers in Media Technology and 6 papers in Aerospace Engineering. Recurrent topics in Ruichao Hou's work include Advanced Image Fusion Techniques (22 papers), Image Enhancement Techniques (13 papers) and Remote-Sensing Image Classification (10 papers). Ruichao Hou is often cited by papers focused on Advanced Image Fusion Techniques (22 papers), Image Enhancement Techniques (13 papers) and Remote-Sensing Image Classification (10 papers). Ruichao Hou collaborates with scholars based in China, Hong Kong and South Korea. Ruichao Hou's co-authors include Dongming Zhou, Rencan Nie, Yanyu Liu, Yanbu Guo, Lei Xiong, Dong Liu, Xiaoli Ruan, Dong Liu, Jinde Cao and Dong Liu and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and BioMed Research International.

In The Last Decade

Ruichao Hou

33 papers receiving 624 citations

Peers

Ruichao Hou

CVPR

EEE

Kan Chang China

Xinyi Ying China

Jun-Pyo Hong South Korea

Khosro Bahrami United States

Golam Dastegir Al-Quaderi Bangladesh

Shuochen Su Canada

Taeg Sang Cho United States

Bongsoon Kang South Korea

Md Arifur Rahman Australia

Kan Chang China

Ruichao Hou

147 ×0.3

256 ×0.6

CVPR

61 ×0.4

31 ×0.4

EEE

41 ×0.6

Citations per year, relative to Ruichao Hou Ruichao Hou (= 1×) peers Kan Chang

Countries citing papers authored by Ruichao Hou

Since Specialization

Citations

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

Fields of papers citing papers by Ruichao Hou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruichao Hou

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

All Works

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20 of 20 papers shown

Hou, Ruichao, et al.. (2025). DSKFuse: Passive-active distillation learning for multi-modal image fusion via dynamic sparse kansformer. Expert Systems with Applications. 303. 130610–130610.

Liu, Yanyu, et al.. (2025). ACL-Net: Attribute-Aware Contrastive Learning Network for Medical Image Fusion. IEEE Signal Processing Letters. 32. 2484–2488. 1 indexed citations

Hou, Ruichao, Xingyuan Li, Tongwei Ren, et al.. (2025). HyPSAM: Hybrid Prompt-Driven Segment Anything Model for RGB-Thermal Salient Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 36(3). 2697–2712.

Hou, Ruichao, et al.. (2025). Mamba4SOD: RGB‐T Salient Object Detection Using Mamba‐Based Fusion Module. IET Computer Vision. 19(1).

Hou, Ruichao, et al.. (2024). Jointly modeling association and motion cues for robust infrared UAV tracking. The Visual Computer. 40(12). 8413–8424. 4 indexed citations

Liu, Yanyu, et al.. (2023). An Improved Hybrid Network With a Transformer Module for Medical Image Fusion. IEEE Journal of Biomedical and Health Informatics. 27(7). 3489–3500. 23 indexed citations

Hou, Ruichao, et al.. (2023). ADNet: An Asymmetric Dual-Stream Network for RGB-T Salient Object Detection. 1–7. 3 indexed citations

Liu, Yanyu, et al.. (2022). TSE_Fuse: Two stage enhancement method using attention mechanism and feature-linking model for infrared and visible image fusion. Digital Signal Processing. 123. 103387–103387. 12 indexed citations

Hou, Ruichao, Tongwei Ren, & Gangshan Wu. (2022). MIRNet: A Robust RGBT Tracking Jointly with Multi-Modal Interaction and Refinement. 2022 IEEE International Conference on Multimedia and Expo (ICME). 1–6. 19 indexed citations

10.

Li, Haiyan, et al.. (2022). A robust infrared and visible image fusion framework via multi-receptive-field attention and color visual perception. Applied Intelligence. 53(7). 8114–8132. 18 indexed citations

11.

Liu, Yanyu, Ruichao Hou, Dongming Zhou, et al.. (2020). Multimodal medical image fusion based on the spectral total variation and local structural patch measurement. International Journal of Imaging Systems and Technology. 31(1). 391–411. 11 indexed citations

12.

Zhou, Dongming, et al.. (2020). Brain Medical Image Fusion Based on Dual‐Branch CNNs in NSST Domain. BioMed Research International. 2020(1). 6265708–6265708. 29 indexed citations

13.

Guo, Yanbu, et al.. (2020). Attentive gated neural networks for identifying chromatin accessibility. Neural Computing and Applications. 32(19). 15557–15571. 4 indexed citations

14.

Liu, Yanyu, et al.. (2020). Construction of high dynamic range image based on gradient information transformation. IET Image Processing. 14(7). 1327–1338. 14 indexed citations

15.

Ruan, Xiaoli, et al.. (2019). Prediction of apoptosis protein subcellular location based on position-specific scoring matrix and isometric mapping algorithm. Medical & Biological Engineering & Computing. 57(12). 2553–2565. 4 indexed citations

16.

Liu, Yanyu, et al.. (2018). Brain CT and MRI medical image fusion scheme Using NSST And Dictionary Learning. 1579–1583. 7 indexed citations

17.

Hou, Ruichao, Dongming Zhou, Rencan Nie, Dong Liu, & Xiaoli Ruan. (2018). Brain CT and MRI medical image fusion using convolutional neural networks and a dual-channel spiking cortical model. Medical & Biological Engineering & Computing. 57(4). 887–900. 85 indexed citations

18.

Liu, Dong, Dongming Zhou, Rencan Nie, & Ruichao Hou. (2018). Infrared and visible image fusion based on convolutional neural network model and saliency detection via hybrid l0-l1 layer decomposition. Journal of Electronic Imaging. 27(6). 1–1. 20 indexed citations

19.

Hou, Ruichao, Rencan Nie, Dongming Zhou, Jinde Cao, & Dong Liu. (2018). Infrared and visible images fusion using visual saliency and optimized spiking cortical model in non-subsampled shearlet transform domain. Multimedia Tools and Applications. 78(20). 28609–28632. 34 indexed citations

20.

Leung, Yiu-Wing & Ruichao Hou. (2005). Assignment of Movies to Heterogeneous Video Servers. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 35(5). 665–681. 7 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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