Alice Oh

3.7k total citations · 1 hit paper
98 papers, 1.8k citations indexed

About

Alice Oh is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Alice Oh has authored 98 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 13 papers in Information Systems and 13 papers in Statistical and Nonlinear Physics. Recurrent topics in Alice Oh's work include Topic Modeling (32 papers), Natural Language Processing Techniques (30 papers) and Speech and dialogue systems (11 papers). Alice Oh is often cited by papers focused on Topic Modeling (32 papers), Natural Language Processing Techniques (30 papers) and Speech and dialogue systems (11 papers). Alice Oh collaborates with scholars based in South Korea, United States and Canada. Alice Oh's co-authors include Yohan Jo, Alexander I. Rudnicky, Suin Kim, JinYeong Bak, Dongwoo Kim, Sungjoon Park, Il‐Chul Moon, Jianwen Zhang, Zheng Chen and Shi‐Xia Liu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Intelligent Transportation Systems and Journal of Psychiatric Research.

In The Last Decade

Alice Oh

93 papers receiving 1.7k citations

Hit Papers

Aspect and sentiment unification model for online review ... 2011 2026 2016 2021 2011 100 200 300 400
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.

  1. Aspect and sentiment unification model for online review analysis
    2011 497 citations Alice Oh et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alice Oh South Korea 20 1.2k 323 286 135 132 98 1.8k
Franciska de Jong Netherlands 22 1.4k 1.2× 484 1.5× 203 0.7× 136 1.0× 62 0.5× 126 2.0k
Srécko Joksimovíc Australia 33 664 0.5× 405 1.3× 246 0.9× 46 0.3× 100 0.8× 98 3.5k
Justin Cheng United States 21 391 0.3× 296 0.9× 428 1.5× 133 1.0× 215 1.6× 44 1.5k
Ujwal Gadiraju Netherlands 23 734 0.6× 268 0.8× 301 1.1× 106 0.8× 33 0.3× 112 1.6k
Jaime Arguello United States 24 676 0.5× 911 2.8× 281 1.0× 108 0.8× 58 0.4× 86 1.9k
David Bamman United States 22 1.0k 0.8× 112 0.3× 216 0.8× 64 0.5× 45 0.3× 57 1.7k
Hugo Liu United States 14 647 0.5× 197 0.6× 274 1.0× 91 0.7× 52 0.4× 23 1.1k
Jalal Mahmud United States 16 360 0.3× 337 1.0× 265 0.9× 82 0.6× 233 1.8× 63 1.0k
Viviana Patti Italy 25 2.4k 1.9× 543 1.7× 334 1.2× 73 0.5× 103 0.8× 128 2.7k
Isabelle Augenstein Denmark 22 1.3k 1.1× 308 1.0× 386 1.3× 61 0.5× 87 0.7× 88 1.6k

Countries citing papers authored by Alice Oh

Since Specialization
Citations

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

Fields of papers citing papers by Alice Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alice Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Alice Oh. A scholar is included among the top collaborators of Alice Oh 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 Alice Oh. Alice Oh 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.
2.
Yoo, Haneul, Tak Yeon Lee, Hwajung Hong, et al.. (2024). LLM-as-a-tutor in EFL Writing Education: Focusing on Evaluation of Student-LLM Interaction. 284–293. 2 indexed citations
3.
Oh, Alice, et al.. (2024). Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and Sundanese. 20571–20590. 5 indexed citations
4.
Yoon, Seunghyun, et al.. (2024). Multi-hop Database Reasoning with Virtual Knowledge Graph. 1–11. 1 indexed citations
5.
Kim, Jiseon, et al.. (2024). KoBBQ: Korean Bias Benchmark for Question Answering. Transactions of the Association for Computational Linguistics. 12. 507–524. 3 indexed citations
6.
Oblath, Rachel, et al.. (2023). Psychiatric emergencies among urban youth during COVID-19: Volume and acuity in a multi-channel program for the publicly insured. Journal of Psychiatric Research. 160. 71–77. 1 indexed citations
7.
8.
Lee, Nayeon, et al.. (2023). Hate Speech Classifiers are Culturally Insensitive. 35–46. 8 indexed citations
9.
Lee, Hwaran, Seok‐Hee Hong, Joonsuk Park, et al.. (2023). SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration. 6692–6712. 1 indexed citations
10.
Bak, JinYeong, et al.. (2022). Translating Hanja Historical Documents to Contemporary Korean and English. 1260–1272. 1 indexed citations
11.
Lee, Jongwon, et al.. (2022). KOLD: Korean Offensive Language Dataset. 10818–10833. 23 indexed citations
12.
Oh, Alice, et al.. (2022). IDK-MRC: Unanswerable Questions for Indonesian Machine Reading Comprehension. 6918–6933. 7 indexed citations
13.
Oh, Alice, et al.. (2021). Emergent Communication under Varying Sizes and Connectivities. Neural Information Processing Systems. 34. 1 indexed citations
14.
Kim, Auk, Ahsan H. Khandoker, Leontios J. Hadjileontiadis, et al.. (2020). K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations. Zenodo (CERN European Organization for Nuclear Research). 116 indexed citations
15.
Kim, Jiseon, et al.. (2019). Denoising Recurrent Neural Networks for Classifying Crash-Related Events. IEEE Transactions on Intelligent Transportation Systems. 21(7). 2906–2917. 5 indexed citations
16.
Kim, Suin, et al.. (2016). Understanding Editing Behaviors in Multilingual Wikipedia. PLoS ONE. 11(5). e0155305–e0155305. 14 indexed citations
17.
Sturm, Christian, Alice Oh, Sebastian Linxen, et al.. (2015). How WEIRD is HCI?: Extending HCI Principles to other Countries and Cultures. IT University Of Copenhagen (IT University of Copenhagen). 1 indexed citations
18.
Bak, JinYeong, Chin-Yew Lin, & Alice Oh. (2014). Self-disclosure topic model for classifying and analyzing Twitter conversations. 1986–1996. 32 indexed citations
19.
Kim, Dongwoo, Haixun Wang, & Alice Oh. (2013). Context-dependent conceptualization. ANU Open Research (Australian National University). 2654–2661. 34 indexed citations
20.
Lee, Woongsup, et al.. (2010). A rapid prototyping method for discovering user-driven opportunities for personal informatics: A case study in a domestic environment. 261–266. 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.

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