Hyunsouk Cho

538 total citations
13 papers, 284 citations indexed

About

Hyunsouk Cho is a scholar working on Artificial Intelligence, Signal Processing and Management Science and Operations Research. According to data from OpenAlex, Hyunsouk Cho has authored 13 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Signal Processing and 4 papers in Management Science and Operations Research. Recurrent topics in Hyunsouk Cho's work include Topic Modeling (6 papers), Advanced Text Analysis Techniques (4 papers) and Data Management and Algorithms (4 papers). Hyunsouk Cho is often cited by papers focused on Topic Modeling (6 papers), Advanced Text Analysis Techniques (4 papers) and Data Management and Algorithms (4 papers). Hyunsouk Cho collaborates with scholars based in South Korea, Sweden and China. Hyunsouk Cho's co-authors include Sehee Chung, Hoyeop Lee, Jinbae Im, Seongwon Jang, Seung-won Hwang, Jongwuk Lee, Jinyoung Yeo, Seung-won Hwang, Seung-won Hwang and Zaiqing Nie and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, The VLDB Journal and Language Resources and Evaluation.

In The Last Decade

Hyunsouk Cho

12 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hyunsouk Cho South Korea	7	201	189	73	61	24	13	284
Flavian Vasile United States	8	192 1.0×	198 1.0×	83 1.1×	57 0.9×	26 1.1×	20	290
Felice Antonio Merra Italy	8	191 1.0×	149 0.8×	41 0.6×	87 1.4×	21 0.9×	19	266
Sehee Chung South Korea	4	181 0.9×	186 1.0×	66 0.9×	50 0.8×	11 0.5×	6	245
Yukihiro Tagami Japan	5	309 1.5×	308 1.6×	38 0.5×	110 1.8×	18 0.8×	15	418
Jinbae Im South Korea	4	183 0.9×	177 0.9×	63 0.9×	57 0.9×	8 0.3×	4	245
Aghiles Salah Singapore	10	181 0.9×	210 1.1×	42 0.6×	107 1.8×	16 0.7×	14	305
Benjamin Kille Germany	8	123 0.6×	209 1.1×	63 0.9×	89 1.5×	11 0.5×	32	255
Shuqing Bian China	8	323 1.6×	305 1.6×	56 0.8×	79 1.3×	9 0.4×	11	409
Gabriel de Souza Pereira Moreira United States	7	144 0.7×	185 1.0×	38 0.5×	47 0.8×	8 0.3×	18	220

Countries citing papers authored by Hyunsouk Cho

Since Specialization

Citations

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

Fields of papers citing papers by Hyunsouk Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyunsouk Cho

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Cho, Hyunsouk, et al.. (2024). Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation. 15232–15261. 4 indexed citations

2.

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

3.

Cho, Hyunsouk, et al.. (2020). SQuAD2-CR: Semi-supervised Annotation for Cause and Rationales for Unanswerability in SQuAD 2.0. Language Resources and Evaluation. 5425–5432. 5 indexed citations

4.

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

5.

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

6.

Lee, Hoyeop, et al.. (2018). PREFER. 1–2.

7.

Yeo, Jinyoung, et al.. (2018). Machine-Translated Knowledge Transfer for Commonsense Causal Reasoning. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 6 indexed citations

8.

Cho, Hyunsouk, et al.. (2017). Understanding Relations using Concepts and Semantics. 1–2. 1 indexed citations

9.

Yeo, Jinyoung, Hyunsouk Cho, Jin-Woo Park, & Seung-won Hwang. (2017). Multimodal KB Harvesting for Emerging Spatial Entities. IEEE Transactions on Knowledge and Data Engineering. 29(5). 1073–1086. 4 indexed citations

10.

Cho, Hyunsouk, Jinyoung Yeo, & Seung-won Hwang. (2016). Event Grounding from Multimodal Social Network Fusion. 835–840. 3 indexed citations

11.

Lee, Jongwuk, et al.. (2013). Hybrid entity clustering using crowds and data. The VLDB Journal. 22(5). 711–726. 9 indexed citations

12.

Lee, Jongwuk, et al.. (2013). Toward Scalable Indexing for Top-<inline-formula> <tex-math notation="TeX">\(k\) </tex-math></inline-formula> Queries. IEEE Transactions on Knowledge and Data Engineering. 26(12). 3103–3116. 6 indexed citations

13.

Lee, Jongwuk, Hyunsouk Cho, & Seung-won Hwang. (2012). Efficient Dual-Resolution Layer Indexing for Top-k Queries. 13. 1084–1095. 9 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.

Explore authors with similar magnitude of impact