Jonghoon Lee

904 citations
62 papers · 572 · h-index 13

Impact in

Papers in

Jonghoon Lee

56 papers receiving 531 citations

Peers

Jonghoon Lee
Comparison fields: 5 of 109
  • Artificial Intelligence 222
  • Social Psychology 111
  • Computer Science Applications 29
  • Cognitive Neuroscience 74
  • Control and Systems Engineering 78
Replace Agnese Augello with:
Agnese Augello Italy
James MacGlashan United States
Matúš Pleva Slovakia
Raquel Ros Spain
Bart Peintner United States
José Lopes United Kingdom
Matthew Marge United States
A. William Evans United States
Curry Guinn United States
Francisco J. Rodríguez-Lera Spain
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Citations per field
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Agnese Augello · 1×
Citations per year

Countries citing papers authored by Jonghoon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jonghoon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonghoon Lee, 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 Jonghoon Lee Line = papers co-authored together Jonghoon Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011128
2 200586
3
A Cross-lingual Annotation Projection Approach for Relation Detection
201023
4
Cognitive Effects of Robot-Assisted Language Learning on Oral Skills
201018
5 201718
6 202215
7 199615
8 202114
9 201113
10 201313
11 202012
12 202212
13 201112
14 201411
15 202410
16 200610
17 20239
18 20109
19
A Meta Learning Approach to Grammatical Error Correction
20128
20 20228

About Jonghoon Lee

Jonghoon Lee is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Plant Science, having authored 62 papers that have together received 572 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Speech and dialogue systems (10 papers), Topic Modeling (10 papers), Network Security and Intrusion Detection (9 papers), Smart Agriculture and AI (5 papers), Anomaly Detection Techniques and Applications (4 papers), Software System Performance and Reliability (4 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (3 papers). The work is most often cited by research in Artificial Intelligence (222 citations), Social Psychology (111 citations), Computer Science Applications (29 citations), Cognitive Neuroscience (74 citations) and Control and Systems Engineering (78 citations). Jonghoon Lee has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Sung‐Jin Lee, Kyusong Lee, Munsang Kim, Taylor W. Schmitz, Howard A. Rowley, Sterling C. Johnson, Andrew L. Alexander, Richard J. Davidson, Seokhwan Kim and Minwoo Jeong. Their work appears in journals such as IEEE Access, Knowledge-Based Systems, Computers and Electronics in Agriculture, ETRI Journal and Applied Sciences.

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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