Holy Lovenia

50 total papers · 1.1k total citations
13 papers, 418 citations indexed

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 13 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 9 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 Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers) and Speech and dialogue systems (3 papers). Holy Lovenia is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers) and Speech and dialogue systems (3 papers). Holy Lovenia collaborates with scholars based in Hong Kong, Indonesia and Japan. Holy Lovenia's co-authors include Samuel Cahyawijaya, Pascale Fung, Ziwei Ji, Bryan Wilie, Willy Chung, Wenliang Dai, Dan Su, Nayeon Lee, Yejin Bang and Yan Xu and has published in prestigious journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology) and arXiv (Cornell University).

In The Last Decade

Holy Lovenia

11 papers receiving 406 citations

Hit Papers

A Multitask, Multilingual... 2023 2026 2024 2023 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Holy Lovenia 278 79 60 33 31 13 418
Yejin Bang 284 1.0× 80 1.0× 59 1.0× 30 0.9× 39 1.3× 11 454
Bryan Wilie 349 1.3× 79 1.0× 79 1.3× 36 1.1× 33 1.1× 14 493
Nayeon Lee 270 1.0× 79 1.0× 60 1.0× 26 0.8× 32 1.0× 6 403
Willy Chung 254 0.9× 79 1.0× 58 1.0× 25 0.8× 30 1.0× 5 384
Marcin Oleksy 268 1.0× 114 1.4× 33 0.6× 23 0.7× 34 1.1× 18 441
Arkadiusz Janz 288 1.0× 115 1.5× 36 0.6× 21 0.6× 36 1.2× 19 448
Julita Bielaniewicz 287 1.0× 120 1.5× 36 0.6× 22 0.7× 36 1.2× 8 443
Stanisław Woźniak 240 0.9× 115 1.5× 31 0.5× 21 0.6× 30 1.0× 5 399
Qiang Ning 214 0.8× 97 1.2× 32 0.5× 29 0.9× 24 0.8× 13 442
Bartłomiej Koptyra 237 0.9× 114 1.4× 32 0.5× 21 0.6× 30 1.0× 4 386

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).

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.

Co-authorship network of co-authors of Holy Lovenia

This figure shows the co-authorship network connecting the top 25 collaborators of Holy Lovenia. A scholar is included among the top collaborators of Holy Lovenia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Holy Lovenia. Holy Lovenia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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