Haoran Wang

9 papers and 157 indexed citations i.

About

Haoran Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Haoran Wang has authored 9 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Haoran Wang’s work include Domain Adaptation and Few-Shot Learning (4 papers), COVID-19 diagnosis using AI (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Haoran Wang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), COVID-19 diagnosis using AI (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Haoran Wang collaborates with scholars based in China, Belgium and Switzerland. Haoran Wang's co-authors include Luc Van Gool, Dengxin Dai, Lukas Hoyer, Christos Sakaridis, Wen Li, Zhijian Song, Manning Wang, Yunlong Yu, Zhong Ji and Qingyong Zhang and has published in prestigious journals such as Information Sciences, Physics in Medicine and Biology and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Haoran Wang i

Fields of papers citing papers by Haoran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haoran Wang

Since Specialization
Citations

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