Genta Indra Winata

3.0k total citations
45 papers, 617 citations indexed

About

Genta Indra Winata is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics. According to data from OpenAlex, Genta Indra Winata has authored 45 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Language and Linguistics. Recurrent topics in Genta Indra Winata's work include Natural Language Processing Techniques (34 papers), Topic Modeling (30 papers) and Speech Recognition and Synthesis (8 papers). Genta Indra Winata is often cited by papers focused on Natural Language Processing Techniques (34 papers), Topic Modeling (30 papers) and Speech Recognition and Synthesis (8 papers). Genta Indra Winata collaborates with scholars based in Hong Kong, United States and Indonesia. Genta Indra Winata's co-authors include Pascale Fung, Zhaojiang Lin, Andrea Madotto, Zihan Liu, Peng Xu, Samuel Cahyawijaya, Chien-Sheng Wu, Alham Fikri Aji, Ayu Purwarianti and Sebastian Ruder and has published in prestigious journals such as Machine Learning Science and Technology, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and Monash University Research Portal (Monash University).

In The Last Decade

Genta Indra Winata

39 papers receiving 587 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Genta Indra Winata Hong Kong 13 562 82 60 39 17 45 617
Stephen Roller United States 12 597 1.1× 130 1.6× 54 0.9× 42 1.1× 7 0.4× 16 720
Mihael Arčan Ireland 12 415 0.7× 50 0.6× 52 0.9× 31 0.8× 37 2.2× 52 434
Luís Marujo Portugal 10 502 0.9× 77 0.9× 62 1.0× 21 0.5× 11 0.6× 15 536
Anil Kumar Singh India 11 308 0.5× 73 0.9× 52 0.9× 13 0.3× 14 0.8× 77 397
Benjamin Snyder United States 13 790 1.4× 48 0.6× 87 1.4× 17 0.4× 22 1.3× 26 835
Helen Yannakoudakis United Kingdom 12 767 1.4× 62 0.8× 123 2.0× 10 0.3× 23 1.4× 28 823
Katharina Kann United States 14 505 0.9× 103 1.3× 22 0.4× 9 0.2× 16 0.9× 45 538
Vishrav Chaudhary United States 13 569 1.0× 163 2.0× 45 0.8× 19 0.5× 10 0.6× 29 603
Shuohuan Wang China 7 527 0.9× 131 1.6× 75 1.3× 20 0.5× 7 0.4× 15 605
Mohamed Al-Badrashiny United States 11 685 1.2× 94 1.1× 68 1.1× 11 0.3× 75 4.4× 27 730

Countries citing papers authored by Genta Indra Winata

Since Specialization
Citations

This map shows the geographic impact of Genta Indra Winata'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 Genta Indra Winata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genta Indra Winata more than expected).

Fields of papers citing papers by Genta Indra Winata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Genta Indra Winata. 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 Genta Indra Winata. The network helps show where Genta Indra Winata may publish in the future.

Co-authorship network of co-authors of Genta Indra Winata

This figure shows the co-authorship network connecting the top 25 collaborators of Genta Indra Winata. A scholar is included among the top collaborators of Genta Indra Winata 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 Genta Indra Winata. Genta Indra Winata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cahyawijaya, Samuel, Holy Lovenia, Fajri Koto, et al.. (2024). Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 14899–14914. 3 indexed citations
2.
Winata, Genta Indra, Ruochen Zhang, & David Ifeoluwa Adelani. (2024). MINERS: Multilingual Language Models as Semantic Retrievers. 2742–2766.
3.
Forde, Jessica Zosa, Ruochen Zhang, Lintang Sutawika, et al.. (2024). Re-Evaluating Evaluation for Multilingual Summarization. 19476–19493.
4.
Yong, Zheng, Ruochen Zhang, Jessica Zosa Forde, et al.. (2023). Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages. 43–63. 10 indexed citations
5.
Winata, Genta Indra, Alham Fikri Aji, Samuel Cahyawijaya, et al.. (2023). NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 815–834. 25 indexed citations
6.
Zhang, Ruochen, et al.. (2023). Multilingual Large Language Models Are Not (Yet) Code-Switchers. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 12567–12582. 9 indexed citations
7.
Cahyawijaya, Samuel, Holy Lovenia, Fajri Koto, et al.. (2023). NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 921–945. 5 indexed citations
8.
9.
Winata, Genta Indra, et al.. (2023). Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning. 768–777. 3 indexed citations
10.
Kabra, Anubha, Simran Khanuja, Alham Fikri Aji, et al.. (2023). Multi-lingual and Multi-cultural Figurative Language Understanding. 8269–8284. 6 indexed citations
11.
Cahyawijaya, Samuel, et al.. (2022). IndoRobusta: Towards Robustness Against Diverse Code-Mixed Indonesian Local Languages. 25–34. 5 indexed citations
12.
Aji, Alham Fikri, Genta Indra Winata, Fajri Koto, et al.. (2022). One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 7226–7249. 45 indexed citations
13.
Winata, Genta Indra, et al.. (2022). Cross-lingual Few-Shot Learning on Unseen Languages. 777–791. 6 indexed citations
14.
Liu, Zihan, Genta Indra Winata, Andrea Madotto, & Pascale Fung. (2021). Preserving Cross-Linguality of Pre-trained Models via Continual Learning. 64–71. 6 indexed citations
15.
Lin, Zhaojiang, Andrea Madotto, Genta Indra Winata, & Pascale Fung. (2020). MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3391–3405. 82 indexed citations
16.
Wilie, Bryan, Karissa Vincentio, Genta Indra Winata, et al.. (2020). IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 843–857. 28 indexed citations
17.
Winata, Genta Indra, Andrea Madotto, Chien-Sheng Wu, & Pascale Fung. (2019). Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 43 indexed citations
18.
Su, Dan, Yan Xu, Genta Indra Winata, et al.. (2019). Generalizing Question Answering System with Pre-trained Language Model Fine-tuning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 203–211. 41 indexed citations
19.
Winata, Genta Indra, Zhaojiang Lin, Jamin Shin, Zihan Liu, & Pascale Fung. (2019). Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3539–3545. 7 indexed citations
20.
Winata, Genta Indra, et al.. (2017). Nora the empathetic psychologist. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2017. 3437–3438. 8 indexed citations

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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