Buru Chang
Impact in
- Transportation top 5%
- Human Mobility and Location-Based Analysis
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Advanced Graph Neural Networks
- Imbalanced Data Classification Techniques
- Topic Modeling
Papers in
-
- Topic Modeling 7
- Natural Language Processing Techniques 3
- Speech and dialogue systems 3
- Domain Adaptation and Few-Shot Learning 2
-
- Recommender Systems and Techniques 4
- Co-authors
- Jaewoo Kang (5 shared papers)Seongsoon Kim (2 shared papers)Yong Gyu Park (2 shared papers)Kwanghee Choi (4 shared papers)Seungju Han (4 shared papers)Beomsu Kim (4 shared papers)Seokjun Seo (3 shared papers)Jacob Morton (1 shared paper)
- Journals
- Information Sciences (1 paper)Genes (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)Designing Interactive Systems Conference (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Buru Chang
16 papers receiving 415 citations
Peers
Comparison fields: 5 of 78
- Transportation 139
- Artificial Intelligence 219
- Information Systems 142
- Computer Vision and Pattern Recognition 111
- Signal Processing 54
Countries citing papers authored by Buru Chang
This map shows the geographic impact of Buru Chang'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 Buru Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Buru Chang more than expected).
Fields of papers citing papers by Buru Chang
This network shows the impact of papers produced by Buru Chang. 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 Buru Chang. The network helps show where Buru Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Buru Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 143 | |
| 2 | 2018 | 132 | |
| 3 | 2020 | 62 | |
| 4 | 2019 | 25 | |
| 5 | 2018 | 14 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 9 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 |
About Buru Chang
Buru Chang is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Social Psychology and Experimental and Cognitive Psychology, having authored 17 papers that have together received 429 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Recommender Systems and Techniques (4 papers), Natural Language Processing Techniques (3 papers), Speech and dialogue systems (3 papers), Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Mental Health Research Topics (2 papers) and Human Mobility and Location-Based Analysis (2 papers). The work is most often cited by research in Transportation (139 citations), Artificial Intelligence (219 citations), Information Systems (142 citations), Computer Vision and Pattern Recognition (111 citations) and Signal Processing (54 citations). Buru Chang has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jaewoo Kang, Seongsoon Kim, Yong Gyu Park, Kwanghee Choi, Seungju Han, Beomsu Kim, Seokjun Seo, Jacob Morton, Kyu‐Man Han and Junhyun Lee. Their work appears in journals such as Information Sciences, Genes, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Proceedings of the AAAI Conference on Artificial Intelligence and Designing Interactive Systems Conference.
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.