Cusuh Ham

About

Cusuh Ham is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Cusuh Ham has authored 5 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Cusuh Ham’s work include Advanced Image and Video Retrieval Techniques (2 papers), Multimodal Machine Learning Applications (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Cusuh Ham is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Multimodal Machine Learning Applications (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Cusuh Ham collaborates with scholars based in United States. Cusuh Ham's co-authors include James Hays, Patsorn Sangkloy, Charles C. Kemp, Samarth Brahmbhatt, Jingwan Lu, Zhifei Zhang, Amit Raj, Tobias Hinz, Connelly Barnes and Vladimir G. Kim and has published in prestigious journals such as ACM Transactions on Graphics, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Cusuh Ham i

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Fields of papers citing papers by Cusuh Ham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cusuh Ham

Since Specialization

Citations

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