Xinhang Song

36 papers and 508 indexed citations i.

About

Xinhang Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Xinhang Song has authored 36 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 4 papers in Aerospace Engineering. Recurrent topics in Xinhang Song’s work include Advanced Image and Video Retrieval Techniques (22 papers), Multimodal Machine Learning Applications (16 papers) and Domain Adaptation and Few-Shot Learning (13 papers). Xinhang Song is often cited by papers focused on Advanced Image and Video Retrieval Techniques (22 papers), Multimodal Machine Learning Applications (16 papers) and Domain Adaptation and Few-Shot Learning (13 papers). Xinhang Song collaborates with scholars based in China, United States and Hong Kong. Xinhang Song's co-authors include Shuqiang Jiang, Luis Herranz, Gongwei Chen, Chengpeng Chen, Xiaodan Zhang, Haitao Zeng, Boyue Wang, Junzhong Ji, Ramesh Jain and Shuang Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Co-authorship network of co-authors of Xinhang Song i

Fields of papers citing papers by Xinhang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xinhang Song

Since Specialization
Citations

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