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.
Survey of Hallucination in Natural Language Generation
20221.5k citationsZiwei Ji, Nayeon Lee et al.profile →
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity
2023388 citationsYejin 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 ·
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This map shows the geographic impact of Pascale Fung'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 Pascale Fung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascale Fung more than expected).
This network shows the impact of papers produced by Pascale Fung. 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 Pascale Fung. The network helps show where Pascale Fung may publish in the future.
Co-authorship network of co-authors of Pascale Fung
This figure shows the co-authorship network connecting the top 25 collaborators of Pascale Fung.
A scholar is included among the top collaborators of Pascale Fung 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 Pascale Fung. Pascale Fung is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Madotto, Andrea, Zhaojiang Lin, Zhenpeng Zhou, et al.. (2021). Continual Learning in Task-Oriented Dialogue Systems. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 7452–7467.48 indexed citations
Yu, Tiezheng, Dan Su, Wenliang Dai, & Pascale Fung. (2020). Dimsum @LaySumm 20. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 303–309.2 indexed citations
8.
Lee, Nayeon, Yejin Bang, Jamin Shin, & Pascale Fung. (2019). Understanding the Shades of Sexism in Popular TV Series. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 122–125.1 indexed citations
9.
Park, Ji Ho, et al.. (2017). Emojive! Collecting Emotion Data from Speech and Facial Expression Using Mobile Game App.. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 827–828.1 indexed citations
10.
Fung, Pascale, Farhad Bin Siddique, Ruixi Lin, et al.. (2016). Zara: A Virtual Interactive Dialogue System Incorporating Emotion, Sentiment and Personality Recognition. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 278–281.12 indexed citations
11.
Wan, Yan, et al.. (2016). A Machine Learning based Music Retrieval and Recommendation System. Language Resources and Evaluation. 1970–1977.2 indexed citations
12.
Fung, Pascale, et al.. (2014). A Hindi-English Code-Switching Corpus. Language Resources and Evaluation. 2410–2413.39 indexed citations
13.
Li, Ying & Pascale Fung. (2012). Code Switching Language Model with Translation Constraint for Mixed Language Speech Recognition. International Conference on Computational Linguistics. 1671.12 indexed citations
14.
Li, Ying & Pascale Fung. (2012). Code-Switch Language Model with Inversion Constraints for Mixed Language Speech Recognition. International Conference on Computational Linguistics. 1671–1680.30 indexed citations
15.
Li, Ying, et al.. (2012). A Mandarin-English Code-Switching Corpus. Language Resources and Evaluation. 2515–2519.27 indexed citations
16.
Liu, Yi, et al.. (2010). A Very Large Scale Mandarin Chinese Broadcast Corpus for GALE Project. Language Resources and Evaluation.1 indexed citations
17.
Liu, Yi, et al.. (2010). A Very Large Scale Mandarin Chinese Broadcast Collection for the GALE Program. Language Resources and Evaluation.1 indexed citations
18.
Fung, Pascale, et al.. (2004). Mining Very-Non-Parallel Corpora: Parallel Sentence and Lexicon Extraction via Bootstrapping and E. Empirical Methods in Natural Language Processing. 75. 57–63.29 indexed citations
19.
Zheng, Fang, et al.. (2002). CASS: A phonetically transcribed corpus of Mandarin spontaneous speech. Cambridge University Engineering Department Publications Database.16 indexed citations
20.
Fung, Pascale, et al.. (1998). Translating Unknown Words Using Nonparallel, Comparable Texts. Rare & Special e-Zone (The Hong Kong University of Science and Technology).2 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.