Seong-Bae Park

1.7k citations
133 papers · 1.0k indexed · h-index 16
Topics
Topic Modeling (47 papers)Natural Language Processing Techniques (36 papers)Text and Document Classification Technologies (18 papers)

In The Last Decade

Seong-Bae Park

114 papers receiving 929 citations

Peers

Seong-Bae Park
Comparison fields: 5 of 126
  • Artificial Intelligence 501
  • Information Systems 200
  • Computer Vision and Pattern Recognition 130
  • Biomaterials 99
  • Electrical and Electronic Engineering 85
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Countries citing papers authored by Seong-Bae Park

Since Specialization
Citations

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

Fields of papers citing papers by Seong-Bae Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seong-Bae Park. 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 Seong-Bae Park. The network helps show where Seong-Bae Park may publish in the future.

Co-authorship network of co-authors of Seong-Bae Park

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 9
4 2
5 3
6 5
7
Sentence Representation Network for Arabic Sentiment Analysis
7
8 1
9
PRICAI 2014: trends in artificial intelligence : 13th Pacific Rim international conference on artificial intelligence Gold Coast, QLD, Australia, December 1-5, 2014, proceedings
10
10 1
11
A Cost Sensitive Part-of-Speech Tagging: Differentiating Serious Errors from Minor Errors
6
12
Automatic Collection of Natural Language Expressions of Relations for Natural Language Interface
1
13
Successful Treatment of Severe Lactic Acidosis by Continuous Venovenous Hemodiafiltration.
2
14
Long-term Prognosis of IgA Nephroapthy
0
15
Effects of Amniotic Membrane after LASEK on Epithelial Healing, Clinical and Refractive Outcomes
3
16
Classification of Human Papillomavirus (HPV) Risk Type via Text Mining
3
17 10
18
A Boosted Maximum Entropy Model for Learning Text Chunking
5
19
Drug Release Characterization and Preparation of Ca-Alginate Microparticle Drug Carrier using Membrane Emulsification Method
0
20 10

About Seong-Bae Park

Seong-Bae Park is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 133 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (47 papers), Natural Language Processing Techniques (36 papers) and Text and Document Classification Technologies (18 papers). The work is most often cited by research in Artificial Intelligence (501 citations), Information Systems (200 citations) and Biomaterials (99 citations). Seong-Bae Park has collaborated with scholars based in South Korea, United States and Cyprus. Frequent co-authors include Jeong-Woo Son, Jin‐Oh You, Se‐Young Park, Laith H. Baniata, Byoung‐Tak Zhang, Byoung‐Tak Zhang, Choong Seon Hong, Sang-Jo Lee, Sang Won Yoon and Md. Shirajum Munir. Their work appears in journals such as Biomaterials, IEEE Access and BMC Bioinformatics.

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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