Dilin Wang

About

Dilin Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Dilin Wang has authored 16 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Dilin Wang’s work include Advanced Neural Network Applications (8 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Adversarial Robustness in Machine Learning (3 papers). Dilin Wang is often cited by papers focused on Advanced Neural Network Applications (8 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Adversarial Robustness in Machine Learning (3 papers). Dilin Wang collaborates with scholars based in United States, Israel and China. Dilin Wang's co-authors include Chengyue Gong, Vikas Chandra, Qiang Liu, David Z. Pan, Qiang Liu, Wei Ye, Qiang Liu, Meng Li, Liangzhen Lai and Meng Li and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

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

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Fields of papers citing papers by Dilin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dilin Wang

Since Specialization

Citations

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