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Ahn, Sejung
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1

Deep learning-based prediction of future growth potential o..:

Lee, June Young ; Ahn, Sejung ; Kim, Dohyun.
PLOS ONE.  16 (2021)  6 - p. e0252753 , 2021
Link: https://doi.org/10.1371/..
 
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2

Return to basics: Clustering of scientific literature using..:

Yun, Jinhyuk ; Ahn, Sejung ; Lee, June Young
Journal of Informetrics.  14 (2020)  4 - p. 101099 , 2020
Link: https://doi.org/10.1016/..
 
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3

Recent trends on the stent research for blood arteries by b..:

Ahn, Sejung ; Sung, Jung-Suk ; Choi, Brad..
Biomaterials Research.  18 (2014)  1 - p. , 2014
Link: https://doi.org/10.1186/..
 
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4

RFM analysis for detecting future core technology:

, In: Proceedings of the 2012 ACM Research in Applied Computation Symposium,
Kim, Dohyun ; Lee, June Young ; Ahn, Sejung.. - p. 55-59 , 2012
Link: https://dl.acm.org/doi/1..
 
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5

Synthesis and electrical conductivity of perchlorate-doped ..:

Ahn, Sejung ; Kim, Yukyung ; Beak, Seungjae...
Journal of Materials Chemistry.  20 (2010)  48 - p. 10817 , 2010
Link: https://doi.org/10.1039/..
 
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6

Temperature dependent conductivity and thermoelectric power..:

Ahn, Sejung ; Yoo, Honam ; Nam, Youngwoo...
Synthetic Metals.  159 (2009)  19-20 - p. 2086-2090 , 2009
Link: https://doi.org/10.1016/..
 
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7

Magnetotransport in iodine-doped single-walled carbon nanot..:

Ahn, Sejung ; Kim, Yukyung ; Nam, Youngwoo...
Physical Review B.  80 (2009)  16 - p. , 2009
Link: https://doi.org/10.1103/..
 
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8

Return to basics: Clustering of scientific literature using..:

Yun, Jinhyuk ; Ahn, Sejung ; Lee, June Young
http://arxiv.org/abs/2004.05904.  , 2020
Link: http://arxiv.org/abs/200..
 
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9

On the Heterogeneous Distributions in Paper Citations:

Yun, Jinhyuk ; Ahn, Sejung ; Lee, June Young
http://arxiv.org/abs/1810.08809.  , 2018
Link: http://arxiv.org/abs/181..
 
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10

Recent trends on the stent research for blood arteries by b..:

Ahn, Sejung ; Sung, Jung-Suk ; Choi, Brad..
http://www.biomaterialsres.com/content/18/1/17.  , 2014
Link: http://www.biomaterialsr..
 
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11

Deep learning-based prediction of future growth potential o..:

June Young Lee ; Sejung Ahn ; Dohyun Kim
https://doi.org/10.1371/journal.pone.0252753.  , 2021
Link: https://doi.org/10.1371/..
 
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12

Performance of prediction models:

June Young Lee (9421247) ; Sejung Ahn (5722108) ; Dohyun Kim (1921894)
https://figshare.com/articles/dataset/Performance_of_prediction_models_/14735087.  , 2021
Link: https://doi.org/10.1371/..
 
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13

Construction of training and prediction datasets:

June Young Lee (9421247) ; Sejung Ahn (5722108) ; Dohyun Kim (1921894)
https://figshare.com/articles/figure/Construction_of_training_and_prediction_datasets_/14735054.  , 2021
Link: https://doi.org/10.1371/..
 
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14

Motifs used to embed citation network:

June Young Lee (9421247) ; Sejung Ahn (5722108) ; Dohyun Kim (1921894)
https://figshare.com/articles/figure/Motifs_used_to_embed_citation_network_/14735060.  , 2021
Link: https://doi.org/10.1371/..
 
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15

Similarity-based mapping of all technology clusters:

June Young Lee (9421247) ; Sejung Ahn (5722108) ; Dohyun Kim (1921894)
https://figshare.com/articles/figure/Similarity-based_mapping_of_all_technology_clusters_/14735066.  , 2021
Link: https://doi.org/10.1371/..
 
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