Dianhuan Lin

About

Dianhuan Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Dianhuan Lin has authored 3 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Control and Systems Engineering. Recurrent topics in Dianhuan Lin’s work include Machine Learning and Algorithms (2 papers), Logic, Reasoning, and Knowledge (1 paper) and Multimodal Machine Learning Applications (1 paper). Dianhuan Lin is often cited by papers focused on Machine Learning and Algorithms (2 papers), Logic, Reasoning, and Knowledge (1 paper) and Multimodal Machine Learning Applications (1 paper). Dianhuan Lin collaborates with scholars based in United Kingdom. Dianhuan Lin's co-authors include Alireza Tamaddoni‐Nezhad, Stephen Muggleton, Miguel Lázaro-Gredilla, J. Swaroop Guntupalli and Dileep George and has published in prestigious journals such as Machine Learning and Science Robotics.

In The Last Decade

Co-authorship network of co-authors of Dianhuan Lin i

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Fields of papers citing papers by Dianhuan Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dianhuan Lin

Since Specialization

Citations

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