Google Scholar Citations

  1. Bayabaatar Amgalan, Ider Tseveendorj, Hyunju Lee$ (2018) An Integrative Model for the Identification of Key Players of Cancer Networks. Applied Mathematical Modelling, 2018 June 01; 58:65-75.(IF: 2.35) (JCR 2016: 19/100, 19%, MATHEMATICS, INTERDISCIPLINARY APPLICATIONS)
  2. Ho Jang and Hyunju Lee$ (2018) Identification of cancer driver genes in focal genomic aberrations from whole-exome sequencing data. Bioinformatics, 2018 Feb 1;34(3):519-521. (IF: 7.307) (JCR 2016: 2/57, 3.5%, MATHEMATICAL & COMPUTATIONAL BIOLOGY)
  3. Daeyong Jin and Hyunju Lee$ (2017) FGMD: A novel approach for functional gene module detection in cancer. PLoS One, 15 December 2017;12(12): e0188900. (IF: 2.806) (JCR 2016: 15/64, 23.4%, MULTIDISCIPLINARY SCIENCES).
  4. Hyejin Cho, Wonjun Choi and Hyunju Lee (2017) A method for named entity normalization in biomedical articles: application to diseases and plants. BMC Bioinformatics, 13 October 2017;18(1):451.  (IF: 2.448) (JCR 2016: 10/57, 17.5%, MATHEMATICAL & COMPUTATIONAL BIOLOGY)
  5. Baeksoo Kim, Jihoon Jo, Jonghyun Han, Chungoo Park$ and Hyunju Lee$ (2017) In silico re-identification of properties of drug target proteins. BMC Bioinformatics, 31 May 2017;18(Suppl 7):248.  (IF: 2.448) (JCR 2016: 10/57, 17.5%, MATHEMATICAL & COMPUTATIONAL BIOLOGY) ($: co-corresponding authors). (Presented at DTMBIO 2016 in conjuction with CIKM, Indianapolis, USA)
  6. Yeonghun Lee, Sehhoon Park, Se-Hoon Lee$, Hyunju Lee$ (2017) Characterization of Genetic Aberrations in a Single Case of Metastatic Thymic Adenocarcinoma.  BMC Cancer, 2017 May 15;17(1):330. (IF: 3.288) (JCR 2016: 93/217, 42.86%, Oncology) ($: co-corresponding authors).
  7. Seungchul Lee#, Jingu Lee#, Sung Hoon Sim#, Yeonghun Lee, Kyung Chul Moon, Cheol Lee, Woong-Yang Park, Nayoung K. D. Kim, Se-Hoon Lee$, and Hyunju Lee$ (2017) Comprehensive somatic genome alterations of urachal carcinoma. Journal of Medical Genetics, 2017 August 01; 54(8):572-578 (IF: 5.451) (JCR 2016: 20/166, 12.05%, GENETICS & HEREDITY) (#: co-first authors, $: co-corresponding authors).
  8. Jaeyong Kang and Hyunju Lee* (2017) Modeling User Interest in Social Media using News Media and Wikipedia. Information Systems,  2017 April 01; 65:52-64 (IF: 2.777) (JCR 2016: 40/146, 27.4%, COMPUTER SCIENCE, INFORMATION SYSTEMS).
  9. Jeongkyun Kim, Jung-jae Kim and Hyunju Lee* (2017) An analysis of disease-gene relationship from Medline abstracts by DigSee. Scientific Reports, 2017 January 05; 7:40154 (IF: 4.259) (JCR 2016: 10/64, 15.6%, MULTIDISCIPLINARY SCIENCES).
  10. Jiyoun Seo, Daeyong Jin, Chan-Hun Choi and Hyunju Lee* (2017) Integration of MicroRNA, mRNA, and Protein Expression Data for the Identification of Cancer-Related MicroRNAs. PLoS One, 2017 January 5; 12(1):e0168412 (IF: 2.806) (JCR 2016: 15/64, 23.4%, MULTIDISCIPLINARY SCIENCES).
  11. Daeyong Jin and Hyunju Lee* (2016) Prioritizing cancer-related microRNAs by integrating microRNA and mRNA datasets. Scientific Reports, 2016 October 13;  6:35350 (IF: 5.228) (JCR 2015: 7/63, 11.3%, MULTIDISCIPLINARY SCIENCES).
  12. Wonjun Choi, Baeksoo Kim, Hyejin Cho, Doheon Lee and Hyunju Lee* (2016) A corpus for plant-chemical relationships in the biomedical domain. BMC Bioinformatics, 2016 September 20; 17:386 (IF: 2.435) (JCR 2015: 10/56, 17.9%, MATHEMATICAL & COMPUTATIONAL BIOLOGY).
  13. Jonghyun Han and Hyunju Lee* (2016)  Characterizing the interests of social media users: Refinement of a topic model for incorporating heterogeneous media. Information Sciences, 2016 September 01; 358-359:112-128 (IF: 3.364) (JCR 2015: 8/144, 5.56%, COMPUTER SCIENCE, INFORMATION SYSTEMS). 
  14. Wangin Kim, Sangbin Park, Chanhun Choi, Youg Ran mKim, Inkyu Park, Changseob Seo, Daehwan Youn, Wook Shin, Yumi Lee, Donghee Choi, Mirae Kim, Hyunju Lee, Seonjong Kim, and Changsu Na (2016) Evaluation of Anti-Inflammatory Potential of the New Ganghwaljetongyeum on Adjuvant-Induced Inflammatory Arthritis in Rats. Evidence-Based Complementary and Alternative Medicine, 2016 June 13; 2016:1230294 (IF 1.931) (JCR 2015: 7/24, 29.2%, INTEGRATIVE & COMPLEMENTARY MEDICINE).
  15. Ho Jang, Youngmi Hur and Hyunju Lee* (2016) Identification of cancer-driver genes in focal genomic alterations from whole genome sequencing data. Scientific Reports, 2016 May 09; 6:25582  (IF: 5.228) (JCR 2015: 7/63, 11.3%, MULTIDISCIPLINARY SCIENCES).
  16. Wonjun Choi, Chan-Hun Choi, Young Ran Kim, Seon-Jong Kim, Chang-Su Na and Hyunju Lee* (2016) HerDing: herb recommendation system to treat diseases using genes and chemicals. Database-The Journal of Biological Databases and Curation (Oxford) , 2016 March 15; 2016:baw011 (IF: 2.627) (JCR 2015: 8/56, 14.3%, MATHEMATICAL & COMPUTATIONAL BIOLOGY).
  17. Bayarbaatar Amgalan and Hyunju Lee* (2015) DEOD: Uncovering dominant effects of cancer-driver genes based on a partial covariance selection method. Bioinformatics, 2015 Aug 1;31(15):2452-60. (IF: 4.981) (JCR: 3/56, 5.36%, MATHEMATICAL & COMPUTATIONAL BIOLOGY).
  18. Daeyong Jin and Hyunju Lee (2015) A Computational Approach to Identifying Gene-microRNA Modules in Cancer. PLoS Computational Biology, 2015 Jan 22; 11(1):e1004042. (IF: 4.620) (JCR: 4/56, 7.14%, MATHEMATICAL & COMPUTATIONAL BIOLOGY).
  19. Jonghyun Han and Hyunju Lee* (2015) Adaptive Landmark Recommendations for Travel Planning: Personalizing and Clustering. Pervasive and Mobile Computing, 2015 April 1; 18(C):4-17 (2014 Aug 13; Online Published) (IF: 2.079) (JCR: 20/139, 14.39%, COMPUTER SCIENCE, INFORMATION SYSTEMS).
  20. Bayabaatar Amgalan and Hyunju Lee* (2014) WMAXC: a weighted maximum clique method for identifying condition-specific sub-network. PLoS One, 2014 Aug 22; 9(8): e104993 (IF: 3.534) (JCR: 8/55, 15%, MULTIDISCIPLINARY SCIENCES)
  21. Hee-Jin Lee, Tien Cuong Dang, Hyunju Lee, and Jong C. Park (2014) OncoSearch: Cancer Gene Search Engine with Literature Evidence  Nucleic Acids Research (9 May 2014) (IF: 8.278) (JCR: 22/291, 7.5%, BIOCHEMISTRY & MOLECULAR BIOLOGY).
  22. Ho Jang, Jeongkyun Kim, and Hyunju Lee* (2014)Data and Text Mining for Cancer Research. KIISE, 32 (3):61-70 (March 2014).
  23. Hee-Jin Lee, Sang-Hyung Shim, Mi-Ryoung Song, Hyunju Lee, and Jong C. Park (2013) CoMAGC: a Corpus with Multi-faceted Annotations of Gene-Cancer Relations. BMC Bioinformatics, 14:323 (14 November 2013) (IF: 3.02).
  24. Shinhyuk Kim, Daeyong Jin and Hyunju Lee* (2013) Predicting drug-target interactions using drug-drug interactions. PLoS One, 2013 Nov 21; 8(11): e80129  (IF: 3.730).
  25. A.K.M. Azad and Hyunju Lee* (2013) Voting-based cancer module identification by combining topological and data-driven properties. PLoS One, 2013 Aug 5; 8(8):e70498 (IF: 3.730)
  26. Jeongkyun Kim, Seongeun So, Hee-Jin Lee, Jong C. Park, Jung-jae Kim, and Hyunju Lee* (2013) DigSee: Disease Gene Search Engine with Evidence sentences (version cancer). Nucleic acids research, 2013 Jul; 41 (Web server issue) (IF: 8.278)
  27. Ho Jang and Hyunju Lee* (2012) Meta-Analysis of Pain Relief Effects by Laser Irradiation on Joint Areas, Photomedicine and Laser Surgery, 30(8) (IF: 1.255)
  28. Bongjun Song and Hyunju Lee* (2012) Prioritizing Disease Genes by Integrating Domain Interactions and Disease Mutations in a Protein-Protein Interaction Network,IJICIC, 8(2), 1327-1338
  29. Azad, A., Shahid, S., Noman N., and Lee, H.* (2011) Prediction of Plant Promoters Based on hexamers and Random Triplet Pair Analysis. Algorithms for Molecular Biology, 6:19 (IF: 2.80) 
  30. Hur, Y. and Lee, H.* (2011) Wavelet-based identification of DNA focal genomic aberrations from single nucleotide polymorphism arrays. BMC Bioinformatics, 12:146 (IF: 3.43)
  31. Oh, M., and Song, B., and Lee, H.* (2010) CAM:web tool for combining arrayCGH and microarray gene expression data from multiple samples. Computers in Biology and Medicine, 40(9):781-785. (IF: 1.269)
  32. Lee, H. Chen, T., and Sun, F. (2010) Frontiers in Computational and Systems Biology, Chapter 8 Computational Methods for Predicting Domain Domain Interactions. Springer
  33. Ko, S and Lee, H.* (2009) Integrative approaches to the prediction of protein functions based on the feature selection. BMC Bioinformatics, 10:455 (IF: 3.78)
  34. Kim, S.S. and Lee, H.* (2009) An Enhanced Dimension Reduction Approach for Microarray Gene Expression Data. Interdisciplinary Bio Central, 1(4):13.
  35. Pena-Castillo, L., Tasan, M., Myers, C. L., Lee, H., et al. (2008) A critical assessment of M. musculus gene function prediction using integrated genome evidence. Genome Biology,9 (Suppl 1):S2 (IF: 7.17)
  36. Lee, H., Kong, S., and Park, P. K. (2008) Integrative analysis reveals the direct and indirect interactions between DNA copy number aberrations and gene expression changes. Bioinformatics, 24(7):889-896. (IF:4.894)
  37. Ma, X.†, Lee, H.†, Li, W., and Sun, F. (2007) CGI: a new approach for prioritizing Genes by Combining Gene Expression and Protein- Protein Interactions. Bioinformatics, 23(2): 215-221. († These two authors contribute equally.) (IF: 4.894)
  38. Lee, H., Deng, M., Sun, F., and Chen, T. (2006) An Integrated Approach to the Prediction of Domain-Domain Interactions. BMC Bioinformatics, 7:269. (IF:3.62)
  39. Lee, H., Tu, Z., Deng, M., Sun, F., and Chen, T. (2006) Diffusion Kernel-Based Logistic Regression Models for Protein Function Prediction. OMICS: A Journal of Integrative Biology, 10(1): 40-55. (IF: 2.056)
  40. Lee, H., Deng, M., Sun, F., and Chen, T. (2005) Assessment of the Reliability of Protein-Protein Interactions Using Protein Localization and Gene Expression Data. BIOINFO 2005, Busan, Korea.
  41. Sun, F., Chen, T., Deng, M., Lee, H., and Tu, Z. (2009) Data integration for the study of protein interactions. In Rudy Guerra and David Allison: Meta-analysis and Combining Information in Genetics, Chapman and Hall
  42. Lee, H., Lee, S., and Kim, H. (2005) Design and implementation of an extended relationship semantics in an ODMG-compliant OODBMS. Journal of Systems and Software, 76(2): 171-180. (IF:0.562)