Eunjoon Cho
- Transportation top 0.2%
- Artificial Intelligence top 2%
- Information Systems top 1%
- Statistical and Nonlinear Physics top 1%
- Computer Networks and Communications top 2%
- Co-authors
- Jure LeskovecSeth A. MyersPaul CrookSeungwhan MoonZhiguang WangZhaojiang LinAndrea MadottoZhenpeng Zhou
- Topics
- Topic Modeling (7 papers)Speech and dialogue systems (5 papers)Music and Audio Processing (3 papers)
- Journals
- Language Resources and EvaluationKnowledge Discovery and Data MiningProceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Partner nations
- United StatesIsraelHong Kong
In The Last Decade
Eunjoon Cho
13 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Transportation 1.5k
- Artificial Intelligence 576
- Information Systems 530
- Statistical and Nonlinear Physics 468
- Computer Networks and Communications 454
Countries citing papers authored by Eunjoon Cho
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 48 | |
| 2 | 1 | |
| 3 | 22 | |
| 4 | 40 | |
| 5 | Text Normalization Infrastructure that Scales to Hundreds of Language Varieties | 7 |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 33 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | Friendship and mobility | 13 |
| 12 | Friendship and mobilitybreakdown → | 2048 |
| 13 | 5 | |
| 14 | 0 |
About Eunjoon Cho
Eunjoon Cho is a scholar working on Signal Processing, Artificial Intelligence and Transportation, having authored 14 papers that have together received 2.2k indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Speech and dialogue systems (5 papers) and Music and Audio Processing (3 papers). The work is most often cited by research in Transportation (1.5k citations), Signal Processing (409 citations) and Statistical and Nonlinear Physics (468 citations). Eunjoon Cho has collaborated with scholars based in United States, Israel and Hong Kong. Frequent 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. Their work appears in 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.
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.