Yu–Gang Jiang

231 papers and 9.3k indexed citations i.

About

Yu–Gang Jiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Yu–Gang Jiang has authored 231 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Computer Vision and Pattern Recognition, 97 papers in Artificial Intelligence and 10 papers in Molecular Biology. Recurrent topics in Yu–Gang Jiang’s work include Advanced Image and Video Retrieval Techniques (77 papers), Multimodal Machine Learning Applications (74 papers) and Human Pose and Action Recognition (55 papers). Yu–Gang Jiang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (77 papers), Multimodal Machine Learning Applications (74 papers) and Human Pose and Action Recognition (55 papers). Yu–Gang Jiang collaborates with scholars based in China, United States and Hong Kong. Yu–Gang Jiang's co-authors include Chong‐Wah Ngo, Shih‐Fu Chang, Xiangyang Xue, Zuxuan Wu, Jun Yang, Wei Liu, Jingjing Chen, Jun Wang, Yanwei Fu and Rongrong Ji and has published in prestigious journals such as Nano Letters, Nature Nanotechnology and Advanced Functional Materials.

In The Last Decade

Co-authorship network of co-authors of Yu–Gang Jiang i

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Fields of papers citing papers by Yu–Gang Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu–Gang Jiang. 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 Yu–Gang Jiang. The network helps show where Yu–Gang Jiang may publish in the future.

Countries citing papers authored by Yu–Gang Jiang

Since Specialization

Citations

This map shows the geographic impact of Yu–Gang Jiang'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 Yu–Gang Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu–Gang Jiang 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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