Hao Dong

34 papers and 1.9k indexed citations i.

About

Hao Dong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Hao Dong has authored 34 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Hao Dong’s work include Advanced Image and Video Retrieval Techniques (5 papers), Robot Manipulation and Learning (5 papers) and Advanced Neural Network Applications (4 papers). Hao Dong is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Robot Manipulation and Learning (5 papers) and Advanced Neural Network Applications (4 papers). Hao Dong collaborates with scholars based in China, United Kingdom and United States. Hao Dong's co-authors include Yike Guo, Chao Wu, Akara Supratak, Simiao Yu, Fangde Liu, Guang Yang, Simon Arridge, Pier Luigi Dragotti, Greg Slabaugh and Jennifer Keegan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Hao Dong i

Fields of papers citing papers by Hao Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hao Dong

Since Specialization
Citations

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