Hwanjo Yu

1.9k total citations
42 papers, 1.1k citations indexed

About

Hwanjo Yu is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Hwanjo Yu has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 11 papers in Molecular Biology and 7 papers in Computer Networks and Communications. Recurrent topics in Hwanjo Yu's work include Topic Modeling (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Biomedical Text Mining and Ontologies (5 papers). Hwanjo Yu is often cited by papers focused on Topic Modeling (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Biomedical Text Mining and Ontologies (5 papers). Hwanjo Yu collaborates with scholars based in South Korea, United States and China. Hwanjo Yu's co-authors include Xiaoqian Jiang, Jaideep Vaidya, Jiawei Han, Jiong Yang, Jinha Kim, Dongha Lee, Yejin Kim, Gyoung S. Na, Chanyoung Park and Min Song and has published in prestigious journals such as Bioinformatics, PLoS ONE and Biotechnology Advances.

In The Last Decade

Hwanjo Yu

42 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hwanjo Yu South Korea 16 731 172 169 158 150 42 1.1k
Saman Forouzandeh Australia 15 483 0.7× 171 1.0× 188 1.1× 198 1.3× 95 0.6× 24 917
Yu Xue China 13 454 0.6× 96 0.6× 178 1.1× 119 0.8× 180 1.2× 22 898
Hisashi Kashima Japan 12 563 0.8× 143 0.8× 234 1.4× 108 0.7× 65 0.4× 28 1.0k
Tossapon Boongoen Thailand 18 615 0.8× 139 0.8× 286 1.7× 177 1.1× 111 0.7× 59 994
Shaohua Sun United States 12 1.3k 1.7× 91 0.5× 289 1.7× 328 2.1× 91 0.6× 35 1.7k
Shengfeng Tian China 14 673 0.9× 120 0.7× 156 0.9× 295 1.9× 232 1.5× 46 1.0k
Yixin Liu United States 14 1.0k 1.4× 197 1.1× 189 1.1× 226 1.4× 206 1.4× 48 1.3k
Wu Xiaoyun United States 12 889 1.2× 166 1.0× 393 2.3× 234 1.5× 58 0.4× 18 1.4k
Justin Zhan United States 19 669 0.9× 125 0.7× 179 1.1× 317 2.0× 167 1.1× 69 1.1k
Hasan Davulcu United States 18 465 0.6× 156 0.9× 141 0.8× 351 2.2× 193 1.3× 79 908

Countries citing papers authored by Hwanjo Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hwanjo Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hwanjo Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Hwanjo Yu. A scholar is included among the top collaborators of Hwanjo Yu 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 Hwanjo Yu. Hwanjo Yu 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
1.
Lee, Seonghyeon, et al.. (2024). Exploring Language Model’s Code Generation Ability with Auxiliary Functions. 2836–2848. 1 indexed citations
2.
3.
Park, Chanyoung, Jiawei Han, & Hwanjo Yu. (2020). Deep multiplex graph infomax: Attentive multiplex network embedding using global information. Knowledge-Based Systems. 197. 105861–105861. 33 indexed citations
4.
Kim, Young-Jin, et al.. (2020). Input initialization for inversion of neural networks using k-nearest neighbor approach. Information Sciences. 519. 229–242. 14 indexed citations
5.
Lee, Dongha, Xiaoqian Jiang, & Hwanjo Yu. (2020). Harmonized representation learning on dynamic EHR graphs. Journal of Biomedical Informatics. 106. 103426–103426. 20 indexed citations
6.
7.
Park, Chanyoung, et al.. (2020). Learning to utilize auxiliary reviews for recommendation. Information Sciences. 545. 595–607. 15 indexed citations
8.
Lee, Dongha, Jinoh Oh, & Hwanjo Yu. (2019). OCam: Out-of-core coordinate descent algorithm for matrix completion. Information Sciences. 514. 587–604. 3 indexed citations
9.
10.
Kim, Yejin, et al.. (2018). Phenotyping of Korean patients with better-than-expected efficacy of moderate-intensity statins using tensor factorization. PLoS ONE. 13(6). e0197518–e0197518. 4 indexed citations
11.
Long, Kenneth D., et al.. (2016). Medical diagnostics with mobile devices: Comparison of intrinsic and extrinsic sensing. Biotechnology Advances. 34(3). 291–304. 59 indexed citations
12.
13.
Lee, Jin‐Soo, et al.. (2011). Processing SPARQL queries with regular expressions in RDF databases. BMC Bioinformatics. 12(S2). S6–S6. 9 indexed citations
14.
Lee, Jin‐Soo, et al.. (2010). Processing SPARQL queries with regular expressions in RDF databases. 23–30. 3 indexed citations
15.
Vien, Ngo Anh, et al.. (2009). VRIFA. 2081–2082. 1 indexed citations
16.
Yu, Hwanjo, et al.. (2009). RefMed. 2099–2100. 7 indexed citations
17.
Park, Byungchul, et al.. (2009). Fault detection in IP-based process control networks using data mining. 211–217. 5 indexed citations
18.
Vaidya, Jaideep, Hwanjo Yu, & Xiaoqian Jiang. (2007). Privacy-preserving SVM classification. Knowledge and Information Systems. 14(2). 161–178. 104 indexed citations
19.
Yu, Hwanjo. (2005). Single-Class Classification with Mapping Convergence. Machine Learning. 61(1-3). 49–69. 48 indexed citations
20.
Yu, Hwanjo, Jiong Yang, Wei Wang, & Ju Han. (2004). Discovering compact and highly discriminative features or combinations of drug activities using support vector machines. PubMed. 2. 220–228. 28 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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