Long Hoang Pham

23 papers and 226 indexed citations i.

About

Long Hoang Pham is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Long Hoang Pham has authored 23 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 8 papers in Automotive Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Long Hoang Pham’s work include Advanced Neural Network Applications (10 papers), Video Surveillance and Tracking Methods (9 papers) and Autonomous Vehicle Technology and Safety (8 papers). Long Hoang Pham is often cited by papers focused on Advanced Neural Network Applications (10 papers), Video Surveillance and Tracking Methods (9 papers) and Autonomous Vehicle Technology and Safety (8 papers). Long Hoang Pham collaborates with scholars based in South Korea, Singapore and Vietnam. Long Hoang Pham's co-authors include Jun Sun, Tai D. Nguyen, Quang Tran Minh, Yun Lin, Jae Wook Jeon, Hyung‐Joon Jeon, Jie Shi, J. E. Mark, Yen Vu and Guangdong Bai and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Co-authorship network of co-authors of Long Hoang Pham i

Fields of papers citing papers by Long Hoang Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long Hoang Pham. 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 Long Hoang Pham. The network helps show where Long Hoang Pham may publish in the future.

Countries citing papers authored by Long Hoang Pham

Since Specialization
Citations

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