Sehee Chung

489 total citations
6 papers, 245 citations indexed

About

Sehee Chung is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Sehee Chung has authored 6 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 3 papers in Artificial Intelligence and 3 papers in Management Science and Operations Research. Recurrent topics in Sehee Chung's work include Recommender Systems and Techniques (3 papers), Advanced Bandit Algorithms Research (3 papers) and Topic Modeling (2 papers). Sehee Chung is often cited by papers focused on Recommender Systems and Techniques (3 papers), Advanced Bandit Algorithms Research (3 papers) and Topic Modeling (2 papers). Sehee Chung collaborates with scholars based in South Korea. Sehee Chung's co-authors include Hoyeop Lee, Hyunsouk Cho, Jinbae Im, Seongwon Jang and Jeong Woo Choi and has published in prestigious journals such as Proceedings of the AAAI Conference on Artificial Intelligence and 2022 IEEE International Conference on Multimedia and Expo (ICME).

In The Last Decade

Sehee Chung

5 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sehee Chung South Korea	4	186	181	66	50	13	6	245
Jinbae Im South Korea	4	177 1.0×	183 1.0×	63 1.0×	57 1.1×	14 1.1×	4	245
Hyunsouk Cho South Korea	7	189 1.0×	201 1.1×	73 1.1×	61 1.2×	22 1.7×	13	284
Biao Li China	8	161 0.9×	130 0.7×	75 1.1×	56 1.1×	21 1.6×	13	220
Gabriel de Souza Pereira Moreira United States	7	185 1.0×	144 0.8×	38 0.6×	47 0.9×	14 1.1×	18	220
Teng Xiao China	9	176 0.9×	182 1.0×	66 1.0×	47 0.9×	25 1.9×	17	259
Shuqing Bian China	8	305 1.6×	323 1.8×	56 0.8×	79 1.6×	16 1.2×	11	409
Fuyu Lv China	7	151 0.8×	134 0.7×	33 0.5×	53 1.1×	25 1.9×	10	194
Felice Antonio Merra Italy	8	149 0.8×	191 1.1×	41 0.6×	87 1.7×	25 1.9×	19	266
Chenxu Zhu China	7	187 1.0×	155 0.9×	40 0.6×	76 1.5×	20 1.5×	16	246
Xinyu Lin China	8	184 1.0×	174 1.0×	39 0.6×	75 1.5×	6 0.5×	17	276

Countries citing papers authored by Sehee Chung

Since Specialization

Citations

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

Fields of papers citing papers by Sehee Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sehee Chung

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

All Works

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6 of 6 papers shown

1.

Jang, Seongwon, et al.. (2022). Towards Proper Contrastive Self-Supervised Learning Strategies for Music Audio Representation. 2022 IEEE International Conference on Multimedia and Expo (ICME). 1–6. 3 indexed citations

2.

Choi, Jeong Woo, et al.. (2022). FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 36(4). 4039–4047. 5 indexed citations

3.

Chung, Sehee, et al.. (2021). One-Step Pixel-Level Perturbation-Based Saliency Detector.

4.

Im, Jinbae, et al.. (2021). Self-Supervised Multimodal Opinion Summarization. 19 indexed citations

5.

Jang, Seongwon, Hoyeop Lee, Hyunsouk Cho, & Sehee Chung. (2020). CITIES: Contextual Inference of Tail-Item Embeddings for Sequential Recommendation. 202–211. 9 indexed citations

6.

Lee, Hoyeop, Jinbae Im, Seongwon Jang, Hyunsouk Cho, & Sehee Chung. (2019). MeLU. 1073–1082. 209 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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