Ya Zhang

381 papers and 6.5k indexed citations i.

About

Ya Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Ya Zhang has authored 381 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Artificial Intelligence, 91 papers in Computer Vision and Pattern Recognition and 54 papers in Molecular Biology. Recurrent topics in Ya Zhang’s work include Domain Adaptation and Few-Shot Learning (22 papers), Anomaly Detection Techniques and Applications (20 papers) and Human Pose and Action Recognition (16 papers). Ya Zhang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (22 papers), Anomaly Detection Techniques and Applications (20 papers) and Human Pose and Action Recognition (16 papers). Ya Zhang collaborates with scholars based in China, United States and Australia. Ya Zhang's co-authors include Yanfeng Wang, Zhe Xu, Siheng Chen, Shaoli Huang, Maosen Li, Dacheng Tao, Xiaoqin Zeng, Qi Tian, Chen Lu and Qinwei Xu and has published in prestigious journals such as Cell, Nature Communications and Blood.

In The Last Decade

Co-authorship network of co-authors of Ya Zhang i

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Fields of papers citing papers by Ya Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ya Zhang

Since Specialization

Citations

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