Holy Lovenia

9 papers and 238 indexed citations i.

About

Holy Lovenia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Holy Lovenia has authored 9 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Social Psychology. Recurrent topics in Holy Lovenia’s work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Face recognition and analysis (1 paper). Holy Lovenia is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Face recognition and analysis (1 paper). Holy Lovenia collaborates with scholars based in Hong Kong, Indonesia and Japan. Holy Lovenia's co-authors include Samuel Cahyawijaya, Pascale Fung, Willy Chung, Ziwei Ji, Dan Su, Nayeon Lee, Tiezheng Yu, Yan Xu, Wenliang Dai and Bryan Wilie and has published in prestigious journals such as arXiv (Cornell University), Interspeech 2022 and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

In The Last Decade

Co-authorship network of co-authors of Holy Lovenia i

Fields of papers citing papers by Holy Lovenia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Holy Lovenia

Since Specialization
Citations

This map shows the geographic impact of Holy Lovenia'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 Holy Lovenia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Holy Lovenia 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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2025