Ji-Ung Lee

590 total citations
7 papers, 57 citations indexed

About

Ji-Ung Lee is a scholar working on Artificial Intelligence, Communication and Management Information Systems. According to data from OpenAlex, Ji-Ung Lee has authored 7 papers receiving a total of 57 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Communication and 1 paper in Management Information Systems. Recurrent topics in Ji-Ung Lee's work include Topic Modeling (4 papers), Natural Language Processing Techniques (2 papers) and Knowledge Management and Sharing (1 paper). Ji-Ung Lee is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (2 papers) and Knowledge Management and Sharing (1 paper). Ji-Ung Lee collaborates with scholars based in Germany, United Kingdom and Türkiye. Ji-Ung Lee's co-authors include Iryna Gurevych, Steffen Eger, Andreas Rücklé, Mohsen Mesgar, Gözde Gül Şahin, Cláudia Schulz, Edwin Simpson, Nafise Sadat Moosavi, Johannes Daxenberger and Joachim Metternich and has published in prestigious journals such as Computational Linguistics, Explore Bristol Research and Procedia CIRP.

In The Last Decade

Ji-Ung Lee

6 papers receiving 55 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ji-Ung Lee Germany	3	55	11	5	4	3	7	57
Agata Savary France	5	76 1.4×	6 0.5×	6 1.2×	4 1.0×	7 2.3×	24	84
Shantanu Thakoor United States	2	42 0.8×	15 1.4×	4 0.8×	2 0.5×	8 2.7×	2	45
Saikrishna Badrinarayanan United States	4	23 0.4×	6 0.5×	13 2.6×	5 1.3×	4 1.3×	6	32
Noah Fiedel	2	29 0.5×	7 0.6×	9 1.8×	11 2.8×	4 1.3×	2	52
Sabrina J. Mielke United States	5	61 1.1×	7 0.6×	3 0.6×	12 3.0×	2 0.7×	5	67
Nathalie Camelin France	6	77 1.4×	18 1.6×	3 0.6×	4 1.0×	1 0.3×	16	84
Simran Khanuja United States	5	97 1.8×	21 1.9×	2 0.4×	6 1.5×	2 0.7×	8	109
Kris Cao United Kingdom	5	61 1.1×	8 0.7×	4 0.8×	14 3.5×	3 1.0×	7	71
Prajjwal Bhargava United States	2	56 1.0×	3 0.3×	10 2.0×	14 3.5×	2 0.7×	3	68
Ashutosh Adhikari Algeria	3	72 1.3×	3 0.3×	9 1.8×	8 2.0×		3	81

Countries citing papers authored by Ji-Ung Lee

Since Specialization

Citations

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

Fields of papers citing papers by Ji-Ung Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji-Ung Lee. 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 Ji-Ung Lee. The network helps show where Ji-Ung Lee may publish in the future.

Co-authorship network of co-authors of Ji-Ung Lee

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Lee, Ji-Ung, et al.. (2023). Lessons Learned from a Citizen Science Project for Natural Language Processing. 3594–3608. 1 indexed citations

2.

Lee, Ji-Ung, et al.. (2023). Transformers with Learnable Activation Functions. 2382–2398. 4 indexed citations

3.

Lee, Ji-Ung, et al.. (2022). Annotation Curricula to Implicitly Train Non-Expert Annotators. Computational Linguistics. 48(2). 343–373. 3 indexed citations

4.

Lee, Ji-Ung, et al.. (2021). Extracting problem related entities from production chats to enhance the data base for assistance functions on the shop floor. Procedia CIRP. 103. 231–236. 1 indexed citations

5.

Lee, Ji-Ung, et al.. (2020). Substituto - A Synchronous Educational Language Game for Simultaneous Teaching and Crowdsourcing. Linköping electronic conference proceedings. 175. 1–9. 1 indexed citations

6.

Eger, Steffen, Gözde Gül Şahin, Andreas Rücklé, et al.. (2019). Text Processing Like Humans Do: Visually Attacking and Shielding. Explore Bristol Research. 1634–1647. 45 indexed citations

7.

Lee, Ji-Ung, Steffen Eger, Johannes Daxenberger, & Iryna Gurevych. (2017). UKP TU-DA at GermEval 2017: Deep Learning for Aspect Based Sentiment Detection. TUbilio (Technical University of Darmstadt). 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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