Seongsoon Kim

471 total citations
15 papers, 332 citations indexed

About

Seongsoon Kim is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Seongsoon Kim has authored 15 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Molecular Biology and 6 papers in Information Systems. Recurrent topics in Seongsoon Kim's work include Biomedical Text Mining and Ontologies (7 papers), Topic Modeling (6 papers) and Sentiment Analysis and Opinion Mining (3 papers). Seongsoon Kim is often cited by papers focused on Biomedical Text Mining and Ontologies (7 papers), Topic Modeling (6 papers) and Sentiment Analysis and Opinion Mining (3 papers). Seongsoon Kim collaborates with scholars based in South Korea, United States and Japan. Seongsoon Kim's co-authors include Jaewoo Kang, Yong Gyu Park, Buru Chang, Kyubum Lee, Sunwon Lee, Aik Choon Tan, Sunkyu Kim, Minji Jeon, Donghyeon Kim and Jaehoon Choi and has published in prestigious journals such as PLoS ONE, IEEE Access and BMC Bioinformatics.

In The Last Decade

Seongsoon Kim

15 papers receiving 321 citations

Peers

Countries citing papers authored by Seongsoon Kim

Since Specialization

Citations

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

Fields of papers citing papers by Seongsoon Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seongsoon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Seongsoon Kim. A scholar is included among the top collaborators of Seongsoon Kim 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 Seongsoon Kim. Seongsoon Kim 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:

15 of 15 papers shown

#	Work	Indexed citations
1	Can Machines Learn to Comprehend Scientific Literature? 2019 ·IEEE Access ·(unknown), Yonghwa Choi, (unknown), (unknown), Seongsoon Kim, Jaewoo Kang	5
2	Deep learning of mutation-gene-drug relations from the literature 2018 ·BMC Bioinformatics ·Kyubum Lee, (unknown), Yonghwa Choi, Sunkyu Kim, Won‐Ho Shin, Sunwon Lee, Sung‐Joon Park, Seongsoon Kim, Aik Choon Tan, Jaewoo Kang	32
3	A Pilot Study of Biomedical Text Comprehension using an Attention-Based Deep Neural Reader: Design and Experimental Analysis 2018 ·JMIR Medical Informatics ·Seongsoon Kim, (unknown), Yonghwa Choi, Kyubum Lee, (unknown), Minji Jeon, Jihye Kim, Aik Choon Tan, Jaewoo Kang	17
4	DeepPIM: A deep neural point-of-interest imputation model 2018 ·Information Sciences ·Buru Chang, Yong Gyu Park, Seongsoon Kim, Jaewoo Kang	14
5	Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation 2018 ·Buru Chang, Yong Gyu Park, (unknown), Seongsoon Kim, Jaewoo Kang	132
6	Constructing and Evaluating a Novel Crowdsourcing-based Paraphrased Opinion Spam Dataset 2017 ·Seongsoon Kim, (unknown), (unknown), Jaewoo Kang	8
7	BEST: Next-Generation Biomedical Entity Search Tool for Knowledge Discovery from Biomedical Literature 2016 ·PLoS ONE ·Sunwon Lee, Donghyeon Kim, Kyubum Lee, Jaehoon Choi, Seongsoon Kim, Minji Jeon, (unknown), Donghee Choi, Sunkyu Kim, Aik Choon Tan, Jaewoo Kang	62
8	Smith Search 2015 ·Jaehoon Choi, Donghyeon Kim, Donghee Choi, (unknown), Seongsoon Kim, Jaewoo Kang, Young‐Jae Choi	2
9	Deep Semantic Frame-Based Deceptive Opinion Spam Analysis 2015 ·Seongsoon Kim, (unknown), (unknown), (unknown), Jaewoo Kang	32
10	On the efficacy of per-relation basis performance evaluation for PPI extraction and a high-precision rule-based approach 2013 ·BMC Medical Informatics and Decision Making ·Junkyu Lee, Seongsoon Kim, Sunwon Lee, Kyubum Lee, Jaewoo Kang	8
11	BOSS: context-enhanced search for biomedical objects 2012 ·BMC Medical Informatics and Decision Making ·Jaehoon Choi, Donghyeon Kim, Seongsoon Kim, Sunwon Lee, Kyubum Lee, Jaewoo Kang	9
12	High precision rule based PPI extraction and per-pair basis performance evaluation 2012 ·Junkyu Lee, Seongsoon Kim, Sunwon Lee, Kyubum Lee, Jaewoo Kang	4
13	CONSENTO 2012 ·Jaehoon Choi, Donghyeon Kim, Seongsoon Kim, Junkyu Lee, (unknown), Sunwon Lee, Jaewoo Kang	1
14	CONSENTO 2012 ·Jaehoon Choi, Donghyeon Kim, Seongsoon Kim, Junkyu Lee, (unknown), Sunwon Lee, Jaewoo Kang	5
15	BOSS 2011 ·Jaehoon Choi, Donghyeon Kim, Seongsoon Kim, Sunwon Lee, Kyubum Lee, Jaewoo Kang	1

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