Seongyong Lee

1.5k citations
46 papers · 930 indexed · 3 hit papers · h-index 12
Topics
Second Language Learning and Teaching (15 papers)EFL/ESL Teaching and Learning (13 papers)AI in Service Interactions (12 papers)

In The Last Decade

Seongyong Lee

43 papers receiving 862 citations

Hit Papers

Large language models in education: A focus on the comple...2023202620242025202320232023100200300

Peers

Seongyong Lee
Comparison fields: 5 of 101
  • Artificial Intelligence 380
  • Computer Science Applications 257
  • Health Informatics 191
  • Developmental and Educational Psychology 137
  • Education 129
Replace Mei‐Rong Alice Chen with:
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Yun‐Fang Tu Taiwan
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Seongyong Lee relative to Mei‐Rong Alice Chen Taiwan Mei‐Rong Alice Chen's profile →
Citations per field
00.5×5.0×
Mei‐Rong Alice Chen · 1×
Citations per year

Countries citing papers authored by Seongyong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Seongyong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seongyong Lee

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 15
2 3
3 2
4 14
5 6
6 25
7 1
8
Beyond ChatGPT: A conceptual framework and systematic review of speech-recognition chatbots for language learningbreakdown →
127
9 5
10 3
11 29
12 17
13 7
14 2
15 4
16 9
17 1
18 3
19
Development of Landscape Diagnosis Model based on Public Participation GIS for Public Participation
1
20
Physicochemical Properties of G009
1

About Seongyong Lee

Seongyong Lee is a scholar working on Linguistics and Language, Literature and Literary Theory and Health Informatics, having authored 46 papers that have together received 930 indexed citations. Recurring topics across this work include Second Language Learning and Teaching (15 papers), EFL/ESL Teaching and Learning (13 papers) and AI in Service Interactions (12 papers). The work is most often cited by research in Health Informatics (191 citations), Computer Science Applications (257 citations) and Artificial Intelligence (380 citations). Seongyong Lee has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Jaeho Jeon, Hohsung Choe, Seongyune Choi, Siew Fan Wong, Younghoon Chang, Beom-Hee Lee, Myoung Hwan Choi, Di Zou, Ji Ye Lee and Ra Gyoung Yoon. Their work appears in journals such as Computers & Education, TESOL Quarterly and Cancers.

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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