Kaihua Tang

13 papers and 1.4k indexed citations i.

About

Kaihua Tang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Kaihua Tang has authored 13 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Kaihua Tang’s work include Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Kaihua Tang is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Kaihua Tang collaborates with scholars based in China, Singapore and Cayman Islands. Kaihua Tang's co-authors include Hanwang Zhang, Jianfei Cai, Xu Yang, Yulei Niu, Jiaxin Shi, Jianqiang Huang, Wenhan Luo, Xian‐Sheng Hua, Baoyuan Wu and Wei Liu and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Multimedia and European journal of medical research.

In The Last Decade

Co-authorship network of co-authors of Kaihua Tang i

Fields of papers citing papers by Kaihua Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaihua Tang

Since Specialization
Citations

This map shows the geographic impact of Kaihua Tang'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 Kaihua Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaihua Tang 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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2025