Yohan Jo

1.7k citations

31 papers · 1.0k indexed · 2 hit papers · h-index 12

Impact in

Computer Science Applications top 2%
- Online Learning and Analytics
Artificial Intelligence top 2%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
- Natural Language Processing Techniques

Papers in ⓘ

Artificial Intelligence 27
- Topic Modeling 15
- Natural Language Processing Techniques 10
- Sentiment Analysis and Opinion Mining 7
- Advanced Text Analysis Techniques 5
- Multi-Agent Systems and Negotiation 4
- Speech and dialogue systems 3
Computer Science Applications 4
- Online Learning and Analytics 4

Co-authors: Alice Oh (2 shared papers)Carolyn Penstein Rosé (11 shared papers)Oliver Ferschke (3 shared papers)Dragan Gašević (2 shared papers)Gaurav Singh Tomar (3 shared papers)Il‐Chul Moon (1 shared paper)Chris Reed (6 shared papers)Eduard Hovy (5 shared papers)
Journals: Transactions of the Association for Computational Linguistics (1 paper)Language Resources and Evaluation (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)Edinburgh Research Explorer (1 paper)PubMed (1 paper)
Partner nations: United States South Korea United Kingdom

In The Last Decade

Yohan Jo

26 papers receiving 960 citations

Hit Papers

align trajectories log scale

Proceedings of the 9th International Conference on Educational Data Mining (EDM 2016) 2016 · 270 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2016 Proceedings of the 9th International Conference on Educational Data Mining (EDM 2016)
2011 Aspect and sentiment unification model for online review analysis

Peers

Countries citing papers authored by Yohan Jo

Since Specialization

Citations

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

Fields of papers citing papers by Yohan Jo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yohan Jo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yohan Jo Line = papers co-authored together Yohan Jo links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Aspect and sentiment unification model for online review analysis Yohan Jo, Alice Oh Hit paper breakdown →	2011	497
2	Proceedings of the 9th International Conference on Educational Data Mining (EDM 2016) Yohan Jo, Gaurav Singh Tomar, Oliver Ferschke, Carolyn Penstein Rosé, Dragan Gašević Hit paper breakdown →	2016	270
3	Analysis of Twitter Lists as a Potential Source for Discovering Latent Characteristics of Users Dongwoo Kim, Yohan Jo, Il‐Chul Moon, Alice Oh	2010	61
4	Metaphor Detection in Discourse Hyeju Jang, Seungwhan Moon, Yohan Jo, Carolyn Penstein Rosé	2015	21
5	Attentive Interaction Model: Modeling Changes in View in Argumentation Yohan Jo, Shivani Poddar, Byungsoo Jeon, Qinlan Shen, Carolyn Penstein Rosé, Graham Neubig	2018	18
6	Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes Transactions of the Association for Computational Linguistics ·Yohan Jo, Seojin Bang, Chris Reed, Eduard Hovy	2021	16
7	Metaphor Detection with Topic Transition, Emotion and Cognition in Context Hyeju Jang, Yohan Jo, Qinlan Shen, Michael Miller, Seungwhan Moon, Carolyn Penstein Rosé	2016	15
8	Detecting Attackable Sentences in Arguments Yohan Jo, Seojin Bang, Emaad Manzoor, Eduard Hovy, Chris Reed	2020	14
9	KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models Jiho Kim, Yeonsu Kwon, Yohan Jo, Edward Choi	2023	14
10	FactKG: Fact Verification via Reasoning on Knowledge Graphs Jiho Kim, Sungjin Park, Yeonsu Kwon, Yohan Jo, James H. Thorne, Edward Choi	2023	13
11	A Cascade Model for Proposition Extraction in Argumentation Discovery Research Portal (University of Dundee) ·Yohan Jo, Jacky Visser, Chris Reed, Eduard Hovy	2019	12
12	Time Series Analysis of Nursing Notes for Mortality Prediction via a State Transition Topic Model Yohan Jo, Natasha A. Loghmanpour, Carolyn Penstein Rosé	2015	11
13	Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes Sunjun Kweon, Junu Kim, Jiyoun Kim, Sujeong Im, Eunbyeol Cho, Seongsu Bae, Jungwoo Oh, Gyubok Lee, Jong Hak Moon, Seng Chan You, Seung-Jin Baek, Chang Hoon Han, Yoon Bin Jung, Yohan Jo, Edward Choi	2024	8
14	Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences PubMed ·Yohan Jo, Michael Miller Yoder, Hyeju Jang, Carolyn Penstein Rosé	2017	6
15	Roles and Success in Wikipedia Talk Pages: Identifying Latent Patterns of Behavior International Joint Conference on Natural Language Processing ·Keith Maki, Michael Miller Yoder, Yohan Jo, Carolyn Penstein Rosé	2017	5
16	Perceptions of Censorship and Moderation Bias in Political Debate Forums Proceedings of the International AAAI Conference on Web and Social Media ·Qinlan Shen, Michael Miller Yoder, Yohan Jo, Carolyn Penstein Rosé	2018	5
17	Machine-Aided Annotation for Fine-Grained Proposition Types in Argumentation Language Resources and Evaluation ·Yohan Jo, Elijah Mayfield, Chris Reed, Eduard Hovy	2020	4
18	Using Functional Schemas to Understand Social Media Narratives Xinru Yan, Aakanksha Naik, Yohan Jo, Carolyn Penstein Rosé	2019	4
19	Pipeline for expediting learning analytics and student support from data in social learning Edinburgh Research Explorer ·Yohan Jo, Gaurav Singh Tomar, Oliver Ferschke, Carolyn Penstein Rosé, Dragan Gašević	2016	4
20	Open-WikiTable : Dataset for Open Domain Question Answering with Complex Reasoning over Table Sunjun Kweon, Yeonsu Kwon, Seonhee Cho, Yohan Jo, Edward Choi	2023	2

About Yohan Jo

Yohan Jo is a scholar working on Artificial Intelligence, Computer Science Applications, Communication, General Social Sciences and Information Systems, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (10 papers), Sentiment Analysis and Opinion Mining (7 papers), Advanced Text Analysis Techniques (5 papers), Online Learning and Analytics (4 papers), Software Engineering Research (4 papers), Multi-Agent Systems and Negotiation (4 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Computer Science Applications (165 citations), Artificial Intelligence (745 citations), Information Systems (227 citations), General Social Sciences (30 citations) and Developmental and Educational Psychology (82 citations). Yohan Jo has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Alice Oh, Carolyn Penstein Rosé, Oliver Ferschke, Dragan Gašević, Gaurav Singh Tomar, Il‐Chul Moon, Chris Reed, Eduard Hovy, Hyeju Jang and Seungwhan Moon. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Language Resources and Evaluation, Proceedings of the International AAAI Conference on Web and Social Media, Edinburgh Research Explorer and PubMed.

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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