Yun Ni

About

Yun Ni is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Yun Ni has authored 11 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Electrical and Electronic Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Yun Ni’s work include Advanced Vision and Imaging (3 papers), Image Enhancement Techniques (3 papers) and Multimodal Machine Learning Applications (2 papers). Yun Ni is often cited by papers focused on Advanced Vision and Imaging (3 papers), Image Enhancement Techniques (3 papers) and Multimodal Machine Learning Applications (2 papers). Yun Ni collaborates with scholars based in China, Singapore and United States. Yun Ni's co-authors include Jie Chen, Lap‐Pui Chau, Jun Liu, Junhui Hou, Wei Zhang, Zhiheng Li, Zhi‐Hong Jiang, Junping Kou, Jingrong Wang and Na Li and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Internet of Things Journal and Computational Statistics & Data Analysis.

In The Last Decade

Co-authorship network of co-authors of Yun Ni i

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Fields of papers citing papers by Yun Ni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yun Ni

Since Specialization

Citations

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

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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