Willy Chung

959 total citations · 1 hit paper
5 papers, 396 citations indexed

About

Willy Chung is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Willy Chung has authored 5 papers receiving a total of 396 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 Social Psychology. Recurrent topics in Willy Chung's work include Topic Modeling (3 papers), Speech and dialogue systems (2 papers) and Digital Mental Health Interventions (1 paper). Willy Chung is often cited by papers focused on Topic Modeling (3 papers), Speech and dialogue systems (2 papers) and Digital Mental Health Interventions (1 paper). Willy Chung collaborates with scholars based in Hong Kong and Greece. Willy Chung's co-authors include Holy Lovenia, Samuel Cahyawijaya, Pascale Fung, Bryan Wilie, Yejin Bang, Tiezheng Yu, Ziwei Ji, Yan Xu, Nayeon Lee and Wenliang Dai and has published in prestigious journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Willy Chung

5 papers receiving 383 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

2023 388 citations Yejin Bang, Samuel Cahyawijaya et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Willy Chung Hong Kong	2	262	79	58	30	26	5	396
Nayeon Lee South Korea	4	280 1.1×	79 1.0×	61 1.1×	32 1.1×	27 1.0×	6	417
Holy Lovenia Hong Kong	6	286 1.1×	79 1.0×	60 1.0×	31 1.0×	34 1.3×	13	431
Yejin Bang Hong Kong	5	291 1.1×	80 1.0×	59 1.0×	39 1.3×	31 1.2×	11	468
Bryan Wilie Hong Kong	6	361 1.4×	79 1.0×	82 1.4×	33 1.1×	37 1.4×	14	509
Arkadiusz Janz Poland	7	297 1.1×	119 1.5×	36 0.6×	36 1.2×	23 0.9×	19	465
Bartłomiej Koptyra Poland	3	246 0.9×	118 1.5×	32 0.6×	30 1.0×	23 0.9×	5	403
Łukasz Radliński Poland	2	243 0.9×	118 1.5×	31 0.5×	30 1.0×	21 0.8×	2	397
Julita Bielaniewicz Poland	6	295 1.1×	124 1.6×	36 0.6×	36 1.2×	23 0.9×	8	458
Konrad Wojtasik Poland	3	252 1.0×	118 1.5×	31 0.5×	30 1.0×	30 1.2×	3	442
Mateusz Kochanek Poland	3	246 0.9×	122 1.5×	31 0.5×	32 1.1×	22 0.8×	3	404

Countries citing papers authored by Willy Chung

Since Specialization

Citations

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

Fields of papers citing papers by Willy Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Willy Chung

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Chung, Willy, Samuel Cahyawijaya, Bryan Wilie, Holy Lovenia, & Pascale Fung. (2023). InstructTODS: Large Language Models for End-to-End Task-Oriented Dialogue Systems. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5 indexed citations

2.

Ishii, Etsuko, Bryan Wilie, Ziwei Ji, et al.. (2023). Contrastive Learning for Inference in Dialogue. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 10202–10221. 1 indexed citations

3.

Bang, Yejin, Samuel Cahyawijaya, Nayeon Lee, et al.. (2023). A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 675–718. 388 indexed citations breakdown →

4.

Cahyawijaya, Samuel, Holy Lovenia, Tiezheng Yu, Willy Chung, & Pascale Fung. (2023). InstructAlign: High-and-Low Resource Language Alignment via Continual Crosslingual Instruction Tuning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 55–78. 1 indexed citations

5.

Cahyawijaya, Samuel, Holy Lovenia, Willy Chung, et al.. (2023). Cross-Lingual Cross-Age Adaptation for Low-Resource Elderly Speech Emotion Recognition. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3352–3356. 1 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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