Buru Chang

814 total citations
17 papers, 429 citations indexed

About

Buru Chang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Buru Chang has authored 17 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Buru Chang's work include Topic Modeling (7 papers), Recommender Systems and Techniques (4 papers) and Speech and dialogue systems (3 papers). Buru Chang is often cited by papers focused on Topic Modeling (7 papers), Recommender Systems and Techniques (4 papers) and Speech and dialogue systems (3 papers). Buru Chang collaborates with scholars based in South Korea and United States. Buru Chang's co-authors include Jaewoo Kang, Yong Gyu Park, Seongsoon Kim, Kwanghee Choi, Beomsu Kim, Seungju Han, Seokjun Seo, Jacob Morton, Minji Jeon and Kyu‐Man Han and has published in prestigious journals such as Information Sciences, Genes and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Buru Chang

16 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Buru Chang South Korea 7 219 142 139 111 54 17 429
Chenyi Zhuang Japan 9 295 1.3× 98 0.7× 49 0.4× 138 1.2× 28 0.5× 29 469
Jinyang Gao China 9 324 1.5× 405 2.9× 21 0.2× 182 1.6× 72 1.3× 13 567
Kyosuke Nishida Japan 13 347 1.6× 69 0.5× 50 0.4× 118 1.1× 151 2.8× 40 506
Yushun Dong United States 12 349 1.6× 94 0.7× 20 0.1× 57 0.5× 18 0.3× 25 448
Yue Hu China 16 599 2.7× 225 1.6× 31 0.2× 285 2.6× 25 0.5× 69 811
Chang Hu China 11 185 0.8× 97 0.7× 69 0.5× 60 0.5× 98 1.8× 41 564
Martin Mladenov Germany 11 158 0.7× 42 0.3× 36 0.3× 95 0.9× 49 0.9× 32 332
Georgios Petkos Greece 10 379 1.7× 210 1.5× 38 0.3× 142 1.3× 51 0.9× 18 621

Countries citing papers authored by Buru Chang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Buru Chang

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

All Works

17 of 17 papers shown
1.
Chang, Buru, et al.. (2025). SHARE: Shared Memory-Aware Open-Domain Long-Term Dialogue Dataset Constructed from Movie Script. 14474–14498. 1 indexed citations
2.
Park, Yeji, et al.. (2025). ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 39(6). 6434–6442. 1 indexed citations
3.
4.
Kim, Sunjun, et al.. (2024). Exploring Intervention Techniques to Alleviate Negative Emotions during Video Content Moderation Tasks as a Worker-centered Task Design. Designing Interactive Systems Conference. 1701–1721. 4 indexed citations
5.
6.
Chang, Buru, et al.. (2023). Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models. 4438–4448. 3 indexed citations
7.
Choi, Kwanghee, et al.. (2023). TiDAL: Learning Training Dynamics for Active Learning. 22278–22288. 6 indexed citations
8.
Han, Seungju, Beomsu Kim, & Buru Chang. (2022). Measuring and Improving Semantic Diversity of Dialogue Generation. 934–950. 4 indexed citations
9.
Han, Seungju, Beomsu Kim, Jin Yong Yoo, et al.. (2022). Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 5114–5132. 9 indexed citations
10.
Han, Seungju, et al.. (2022). Understanding and Improving the Exemplar-based Generation for Open-domain Conversation. 218–230. 2 indexed citations
11.
Choi, Kwanghee, et al.. (2022). Temporal Knowledge Distillation for on-device Audio Classification. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 486–490. 14 indexed citations
12.
Han, Seungju, et al.. (2021). Disentangling Label Distribution for Long-tailed Visual Recognition. 6622–6632. 143 indexed citations
13.
14.
Chang, Buru, et al.. (2020). Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation. 135–144. 62 indexed citations
15.
Chang, Buru, Yonghwa Choi, Minji Jeon, et al.. (2019). ARPNet: Antidepressant Response Prediction Network for Major Depressive Disorder. Genes. 10(11). 907–907. 25 indexed citations
16.
Chang, Buru, Yong Gyu Park, Seongsoon Kim, & Jaewoo Kang. (2018). DeepPIM: A deep neural point-of-interest imputation model. Information Sciences. 465. 61–71. 14 indexed citations
17.
Chang, Buru, et al.. (2018). Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation. 3301–3307. 132 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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