Chanjun Park
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Speech Recognition and Synthesis
- Advanced Text Analysis Techniques
- Speech and dialogue systems
Papers in
-
- Natural Language Processing Techniques 41
- Topic Modeling 38
- Speech Recognition and Synthesis 9
- Text Readability and Simplification 5
- Advanced Text Analysis Techniques 4
- Hate Speech and Cyberbullying Detection 3
-
- Multimodal Machine Learning Applications 7
- Co-authors
- Heuiseok Lim (40 shared papers)Yeongwook Yang (4 shared papers)Chanhee Lee (6 shared papers)Seolhwa Lee (9 shared papers)Kinam Park (5 shared papers)Jungseob Lee (5 shared papers)Chanwoo Yang (1 shared paper)Jaeyoung Jang (1 shared paper)
- Journals
- IEEE Access (13 papers)Applied Sciences (6 papers)Expert Systems with Applications (1 paper)Knowledge-Based Systems (1 paper)IEEE Transactions on Nuclear Science (1 paper)
- Partner nations
- South KoreaUnited StatesEstonia
In The Last Decade
Chanjun Park
41 papers receiving 321 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 214
- Health Informatics 8
- Computer Vision and Pattern Recognition 44
- Information Systems 39
- General Social Sciences 5
Countries citing papers authored by Chanjun Park
This map shows the geographic impact of Chanjun Park'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 Chanjun Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chanjun Park more than expected).
Fields of papers citing papers by Chanjun Park
This network shows the impact of papers produced by Chanjun Park. 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 Chanjun Park. The network helps show where Chanjun Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Chanjun Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 46 | |
| 2 | 2024 | 34 | |
| 3 | 2010 | 31 | |
| 4 | 2020 | 21 | |
| 5 | 2021 | 18 | |
| 6 | 2020 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2022 | 5 |
About Chanjun Park
Chanjun Park is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Molecular Biology and Language and Linguistics, having authored 59 papers that have together received 334 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (41 papers), Topic Modeling (38 papers), Speech Recognition and Synthesis (9 papers), Multimodal Machine Learning Applications (7 papers), Text Readability and Simplification (5 papers), Advanced Text Analysis Techniques (4 papers), Hate Speech and Cyberbullying Detection (3 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Artificial Intelligence (214 citations), Health Informatics (8 citations), Computer Vision and Pattern Recognition (44 citations), Information Systems (39 citations) and General Social Sciences (5 citations). Chanjun Park has collaborated with scholars based in South Korea, United States and Estonia. Frequent co-authors include Heuiseok Lim, Yeongwook Yang, Chanhee Lee, Seolhwa Lee, Kinam Park, Jungseob Lee, Chanwoo Yang, Jaeyoung Jang, Se Hyun Kim and Won Min Yun. Their work appears in journals such as IEEE Access, Applied Sciences, Expert Systems with Applications, Knowledge-Based Systems and IEEE Transactions on Nuclear Science.
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.