Jin‐Dong Dong

3 papers and 184 indexed citations i.

About

Jin‐Dong Dong is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Jin‐Dong Dong has authored 3 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Molecular Biology and 1 paper in Artificial Intelligence. Recurrent topics in Jin‐Dong Dong’s work include Advanced Neural Network Applications (1 paper), Chemical Synthesis and Reactions (1 paper) and Visual Attention and Saliency Detection (1 paper). Jin‐Dong Dong is often cited by papers focused on Advanced Neural Network Applications (1 paper), Chemical Synthesis and Reactions (1 paper) and Visual Attention and Saliency Detection (1 paper). Jin‐Dong Dong collaborates with scholars based in Taiwan, United States and China. Jin‐Dong Dong's co-authors include Min Sun, Tyng-Luh Liu, Hsien-Tzu Cheng, Na An, Wenting Du, Wei‐Ping Deng, An-Chieh Cheng, Da-Cheng Juan and Wei Wei and has published in prestigious journals such as Tetrahedron, arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Co-authorship network of co-authors of Jin‐Dong Dong i

Fields of papers citing papers by Jin‐Dong Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Dong Dong. 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 Jin‐Dong Dong. The network helps show where Jin‐Dong Dong may publish in the future.

Countries citing papers authored by Jin‐Dong Dong

Since Specialization
Citations

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