Eunjoon Cho

3.2k total citations · 1 hit paper
14 papers, 2.2k citations indexed

About

Eunjoon Cho is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Eunjoon Cho has authored 14 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Signal Processing and 2 papers in Computer Networks and Communications. Recurrent topics in Eunjoon Cho's work include Topic Modeling (7 papers), Speech and dialogue systems (5 papers) and Music and Audio Processing (3 papers). Eunjoon Cho is often cited by papers focused on Topic Modeling (7 papers), Speech and dialogue systems (5 papers) and Music and Audio Processing (3 papers). Eunjoon Cho collaborates with scholars based in United States, Israel and Hong Kong. Eunjoon Cho's co-authors include Jure Leskovec, Seth A. Myers, Paul Crook, Seungwhan Moon, Zhiguang Wang, Zhaojiang Lin, Andrea Madotto, Zhenpeng Zhou, Bing Liu and Pascale Fung and has published in prestigious journals such as Language Resources and Evaluation, Knowledge Discovery and Data Mining and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Eunjoon Cho

13 papers receiving 2.2k citations

Hit Papers

Friendship and mobility 2011 2026 2016 2021 2011 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eunjoon Cho United States 8 1.5k 576 530 468 454 14 2.2k
Anastasios Noulas United Kingdom 17 1.3k 0.9× 259 0.4× 316 0.6× 452 1.0× 263 0.6× 36 1.9k
Jagan Sankaranarayanan United States 18 269 0.2× 504 0.9× 529 1.0× 342 0.7× 542 1.2× 50 1.9k
Cheng–Te Li Taiwan 22 213 0.1× 678 1.2× 457 0.9× 301 0.6× 165 0.4× 132 1.4k
Kwan Hui Lim Singapore 19 343 0.2× 474 0.8× 443 0.8× 153 0.3× 92 0.2× 65 1.2k
Jean Bolot United States 20 331 0.2× 331 0.6× 206 0.4× 214 0.5× 1.1k 2.4× 36 1.9k
Manolis Terrovitis Greece 21 270 0.2× 727 1.3× 284 0.5× 27 0.1× 232 0.5× 52 1.8k
Florian Mansmann Germany 19 130 0.1× 318 0.6× 132 0.2× 202 0.4× 160 0.4× 46 1.1k
Yudian Zheng China 17 130 0.1× 874 1.5× 285 0.5× 94 0.2× 171 0.4× 29 1.4k
Aya Soffer Israel 18 81 0.1× 731 1.3× 780 1.5× 88 0.2× 418 0.9× 51 1.6k
Hui Zang United States 26 283 0.2× 455 0.8× 143 0.3× 58 0.1× 1.5k 3.2× 63 3.6k

Countries citing papers authored by Eunjoon Cho

Since Specialization
Citations

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

Fields of papers citing papers by Eunjoon Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunjoon Cho

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

All Works

14 of 14 papers shown
1.
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
2.
Kottur, Satwik, Paul Crook, Seungwhan Moon, et al.. (2021). An Analysis of State-of-the-Art Models for Situated Interactive MultiModal Conversations (SIMMC). 144–153. 1 indexed citations
3.
Sun, Kai, Seungwhan Moon, Paul Crook, et al.. (2021). Adding Chit-Chat to Enhance Task-Oriented Dialogues. 22 indexed citations
4.
Lin, Zhaojiang, Bing Liu, Seungwhan Moon, et al.. (2021). Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue StateTracking. 5640–5648. 40 indexed citations
5.
Chua, M., et al.. (2018). Text Normalization Infrastructure that Scales to Hundreds of Language Varieties. Language Resources and Evaluation. 7 indexed citations
6.
Cho, Eunjoon & Shankar Kumar. (2018). A Conversational Neural Language Model for Speech Recognition in Digital Assistants. 3. 5784–5788. 2 indexed citations
7.
Li, David, et al.. (2018). Cross-Lingual Phoneme Mapping for Language Robust Contextual Speech Recognition. 5924–5928. 2 indexed citations
8.
Hall, Keith, Eunjoon Cho, Cyril Allauzen, et al.. (2015). Composition-based on-the-fly rescoring for salient n-gram biasing. 1418–1422. 33 indexed citations
9.
Cho, Eunjoon, et al.. (2013). Characteristic contours of syllabic-level units in laughter. 158–162. 3 indexed citations
10.
Cho, Eunjoon, Julius O. Smith, & Bernard Widrow. (2012). Exploiting the harmonic structure for speech enhancement. 11. 4569–4572. 7 indexed citations
11.
Cho, Eunjoon, Seth A. Myers, & Jure Leskovec. (2011). Friendship and mobility. Knowledge Discovery and Data Mining. 13 indexed citations
12.
Cho, Eunjoon, Seth A. Myers, & Jure Leskovec. (2011). Friendship and mobility. 1082–1090. 2048 indexed citations breakdown →
13.
Cho, Eunjoon, et al.. (2011). Inferring mobile trajectories using a network of binary proximity sensors. 1. 188–196. 5 indexed citations
14.
Cho, Eunjoon, et al.. (2009). Recovering network topology with binary sensors. 387–388.

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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