Loc Trinh

About

Loc Trinh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Loc Trinh has authored 6 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Loc Trinh’s work include Generative Adversarial Networks and Image Synthesis (2 papers), Face recognition and analysis (1 paper) and Enhanced Recovery After Surgery Protocols (1 paper). Loc Trinh is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Face recognition and analysis (1 paper) and Enhanced Recovery After Surgery Protocols (1 paper). Loc Trinh collaborates with scholars based in United States. Loc Trinh's co-authors include Yan Liu, Chuizheng Meng, Nan Xu, Sirisha Rambhatla, Michael Tsang, S. Sivaranjani, Dongqi Wu, Nan Xu, Tong Huang and Le Xie and has published in prestigious journals such as Scientific Reports, Scientific Data and European Urology Focus.

In The Last Decade

Co-authorship network of co-authors of Loc Trinh i

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Fields of papers citing papers by Loc Trinh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Loc Trinh

Since Specialization

Citations

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