Haohan Wang

About

Haohan Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Civil and Structural Engineering. According to data from OpenAlex, Haohan Wang has authored 20 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Civil and Structural Engineering. Recurrent topics in Haohan Wang’s work include Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (6 papers) and Adversarial Robustness in Machine Learning (3 papers). Haohan Wang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (6 papers) and Adversarial Robustness in Machine Learning (3 papers). Haohan Wang collaborates with scholars based in China, United States and South Korea. Haohan Wang's co-authors include Eric P. Xing, Zeyi Huang, Xindi Wu, Sheng Zha, He He, Haoqian Wang, Zhuoling Li, Zachary C. Lipton, Songwei Ge and Zexue He and has published in prestigious journals such as Chemosphere, Corrosion Science and Composites Part B Engineering.

In The Last Decade

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

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Fields of papers citing papers by Haohan Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haohan Wang

Since Specialization

Citations

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