Kangfu Mei

1.7k total citations
12 papers, 244 citations indexed

About

Kangfu Mei is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Infectious Diseases. According to data from OpenAlex, Kangfu Mei has authored 12 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 0 papers in Infectious Diseases. Recurrent topics in Kangfu Mei's work include Advanced Image Processing Techniques (8 papers), Image and Signal Denoising Methods (4 papers) and Advanced Vision and Imaging (4 papers). Kangfu Mei is often cited by papers focused on Advanced Image Processing Techniques (8 papers), Image and Signal Denoising Methods (4 papers) and Advanced Vision and Imaging (4 papers). Kangfu Mei collaborates with scholars based in United States, China and Poland. Kangfu Mei's co-authors include Juncheng Li, Faming Fang, Rui Huang, Vishal M. Patel, Guixu Zhang, Jiaqian Li, Jie Li, Haoyu Wu, Aiwen Jiang and Jihua Ye and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, IET Image Processing and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Kangfu Mei

10 papers receiving 239 citations

Peers

Kangfu Mei
Tiantong Guo United States
Junlin Han Australia
Ruifei He Hong Kong
Kangfu Mei
Citations per year, relative to Kangfu Mei Kangfu Mei (= 1×) peers Zhuangzi Li

Countries citing papers authored by Kangfu Mei

Since Specialization
Citations

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

Fields of papers citing papers by Kangfu Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangfu Mei

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

All Works

12 of 12 papers shown
1.
3.
Mei, Kangfu, Mauricio Delbracio, Hossein Talebi, et al.. (2024). CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation. 9048–9058. 4 indexed citations
4.
Mei, Kangfu, et al.. (2024). Latent Feature-Guided Diffusion Models for Shadow Removal. 4301–4310. 6 indexed citations
5.
Mei, Kangfu & Vishal M. Patel. (2023). VIDM: Video Implicit Diffusion Models. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9117–9125. 29 indexed citations
6.
Mei, Kangfu, Yiqun Mei, & Vishal M. Patel. (2022). Thermal to Visible Image Synthesis Under Atmospheric Turbulence. 2022 IEEE International Conference on Image Processing (ICIP). 2051–2055. 4 indexed citations
7.
Mei, Kangfu, et al.. (2022). A Comparison of Different Atmospheric Turbulence Simulation Methods for Image Restoration. 2022 IEEE International Conference on Image Processing (ICIP). 3386–3390. 5 indexed citations
8.
Mei, Kangfu, et al.. (2021). AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing. Proceedings of the AAAI Conference on Artificial Intelligence. 35(3). 2567–2575. 60 indexed citations
9.
Li, Juncheng, Faming Fang, Jiaqian Li, Kangfu Mei, & Guixu Zhang. (2020). MDCN: Multi-Scale Dense Cross Network for Image Super-Resolution. IEEE Transactions on Circuits and Systems for Video Technology. 31(7). 2547–2561. 90 indexed citations
10.
Mei, Kangfu, et al.. (2019). HighEr-Resolution Network for Image Demosaicing and Enhancing. 3441–3448. 17 indexed citations
11.
Li, Juncheng, et al.. (2019). Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution. 3814–3823. 24 indexed citations
12.
Mei, Kangfu, Aiwen Jiang, Juncheng Li, et al.. (2018). Deep residual refining based pseudo‐multi‐frame network for effective single image super‐resolution. IET Image Processing. 13(4). 591–599. 5 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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