Holy Lovenia

1.1k citations
13 papers · 431 indexed · 1 hit paper · h-index 6
Topics
Topic Modeling (7 papers)Natural Language Processing Techniques (7 papers)Speech and dialogue systems (3 papers)
Journals
Rare & Special e-Zone (The Hong Kong University of Science and Technology)arXiv (Cornell University)
Partner nations
Hong KongIndonesiaJapan

In The Last Decade

Holy Lovenia

11 papers receiving 416 citations

Hit Papers

A Multitask, Multilingual, Multimodal Evaluation of ChatG...20232026202420252023100200300

Peers

Holy Lovenia
Comparison fields: 5 of 82
  • Artificial Intelligence 286
  • Health Informatics 79
  • Information Systems 60
  • Computer Vision and Pattern Recognition 34
  • Sociology and Political Science 31
Replace Yejin Bang with:
Yejin Bang Hong Kong
Willy Chung Hong Kong
Nayeon Lee South Korea
Bryan Wilie Hong Kong
Wenliang Dai Hong Kong
Samuel Cahyawijaya Hong Kong
Marcin Gruza Poland
Kamil Kanclerz Poland
Arkadiusz Janz Poland
Julita Bielaniewicz Poland
Holy Lovenia relative to Yejin Bang Hong Kong Yejin Bang's profile →
Citations per field
00.5×1.5×
Yejin Bang · 1×
Citations per year

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

13 of 13 papers shown
#WorkIndexed citations
1 3
2 7
3 7
4 5
5 1
6 5
7 10
8
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivitybreakdown →
388
9 1
10 1
11 0
12 0
13 3

About Holy Lovenia

Holy Lovenia is a scholar working on Computational Mathematics, Health Informatics and Artificial Intelligence, having authored 13 papers that have together received 431 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Health Informatics (79 citations), Artificial Intelligence (286 citations) and Computer Science Applications (27 citations). Holy Lovenia has collaborated with scholars based in Hong Kong, Indonesia and Japan. Frequent co-authors include Samuel Cahyawijaya, Pascale Fung, Willy Chung, Bryan Wilie, Wenliang Dai, Ziwei Ji, Yan Xu, Nayeon Lee, Dan Su and Yejin Bang. Their work appears in journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology) and arXiv (Cornell University).

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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