Hailin Wang

28 papers and 243 indexed citations i.

About

Hailin Wang is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Computational Mathematics. According to data from OpenAlex, Hailin Wang has authored 28 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Mechanics, 13 papers in Computer Vision and Pattern Recognition and 10 papers in Computational Mathematics. Recurrent topics in Hailin Wang’s work include Sparse and Compressive Sensing Techniques (14 papers), Image and Signal Denoising Methods (11 papers) and Tensor decomposition and applications (10 papers). Hailin Wang is often cited by papers focused on Sparse and Compressive Sensing Techniques (14 papers), Image and Signal Denoising Methods (11 papers) and Tensor decomposition and applications (10 papers). Hailin Wang collaborates with scholars based in China, Macao and Qatar. Hailin Wang's co-authors include Jianjun Wang, Jiangjun Peng, Deyu Meng, Tingwen Huang, Jianwen Huang, Xiangyong Cao, Xin Luo, Xiao Zhu, Guangzhi Zhu and A. G. Kozlov and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

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

Fields of papers citing papers by Hailin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hailin Wang

Since Specialization
Citations

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