Yi Niu

125 total papers · 2.1k total citations
74 papers, 1.2k citations indexed

About

Yi Niu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience. According to data from OpenAlex, Yi Niu has authored 74 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 19 papers in Media Technology and 10 papers in Cognitive Neuroscience. Recurrent topics in Yi Niu's work include Handwritten Text Recognition Techniques (11 papers), Advanced Vision and Imaging (11 papers) and Image and Signal Denoising Methods (10 papers). Yi Niu is often cited by papers focused on Handwritten Text Recognition Techniques (11 papers), Advanced Vision and Imaging (11 papers) and Image and Signal Denoising Methods (10 papers). Yi Niu collaborates with scholars based in China, Canada and United States. Yi Niu's co-authors include Guangming Shi, Zhanzhan Cheng, Shiliang Pu, Shuigeng Zhou, Fan Bai, Fu Li, Boxun Fu, Fei Wu, Yunlu Xu and Qiao Liang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Yi Niu

69 papers receiving 1.1k citations

Hit Papers

GMSS: Graph-Based Multi-T... 2022 2026 2023 2024 2022 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yi Niu 706 299 222 195 127 74 1.2k
Hatim Aboalsamh 562 0.8× 268 0.9× 104 0.5× 297 1.5× 136 1.1× 97 1.3k
Hyo Jong Lee 516 0.7× 509 1.7× 146 0.7× 169 0.9× 276 2.2× 99 1.3k
Lijuan Duan 419 0.6× 315 1.1× 83 0.4× 247 1.3× 32 0.3× 95 1.1k
L.G. Vuurpijl 724 1.0× 274 0.9× 160 0.7× 397 2.0× 29 0.2× 58 1.2k
Rajkumar Saini 386 0.5× 363 1.2× 71 0.3× 230 1.2× 89 0.7× 66 1.2k
Minoru Fukumi 546 0.8× 231 0.8× 90 0.4× 204 1.0× 52 0.4× 233 1.1k
Paola Campadelli 712 1.0× 179 0.6× 143 0.6× 309 1.6× 22 0.2× 65 1.4k
Jie Li 819 1.2× 176 0.6× 145 0.7× 169 0.9× 32 0.3× 72 1.3k
Uma Shanker Tiwary 346 0.5× 288 1.0× 174 0.8× 197 1.0× 277 2.2× 73 1.1k
Sebastian Bosse 1.1k 1.5× 315 1.1× 261 1.2× 103 0.5× 53 0.4× 53 1.4k

Countries citing papers authored by Yi Niu

Since Specialization
Citations

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

Fields of papers citing papers by Yi Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Niu

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

All Works

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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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