| An alternative topic model based on Common Interest Authors for topic evolution analysis S Jung, WC Yoon Journal of Informetrics 14 (3), 101040, 2020 | 38 | 2020 |
| Analyzing future communities in growing citation networks S Jung, A Segev Proceedings of the 2013 international workshop on Mining unstructured big …, 2013 | 33 | 2013 |
| Analysis of technology trends basedon diverse data sources A Segev, S Jung, S Choi IEEE Transactions on Services Computing 8 (6), 903-915, 2014 | 17 | 2014 |
| Analysis of technology trends based on big data A Segev, C Jung, S Jung 2013 IEEE International Congress on Big Data, 419-420, 2013 | 16 | 2013 |
| Invisible brain: Knowledge in research works and neuron activity A Segev, D Curtis, S Jung, S Chae PloS one 11 (7), e0158590, 2016 | 9 | 2016 |
| Identification and prediction of emerging topics through their relationships to existing topics S Jung, R Datta, A Segev 2020 IEEE International conference on big data (Big Data), 5078-5087, 2020 | 8 | 2020 |
| Knowledge base driven automatic text summarization using multi-objective optimization C Jung, WC Yoon, R Datta, S Jung International journal of advanced computer science and applications 12 (8), 2021 | 5 | 2021 |
| Citation-based author contribution measure for byline-independency S Jung, WC Yoon 2019 IEEE International Conference on Big Data (Big Data), 6086-6088, 2019 | 5 | 2019 |
| Analyzing future nodes in a knowledge network S Jung, TM Lai, A Segev 2016 IEEE International congress on big data (BigData Congress), 357-360, 2016 | 5 | 2016 |
| DAC: Descendant-aware clustering algorithm for network-based topic emergence prediction S Jung, A Segev Journal of Informetrics 16 (3), 101320, 2022 | 4 | 2022 |
| Analyzing the generalizability of the network-based topic emergence identification method S Jung, A Segev Semantic Web 13 (3), 423-439, 2022 | 4 | 2022 |
| Learning Material Bookmarking Service based on Collective Intelligence J Jang, S Jung, S Lee, C Jung, WC Yoon, MY Yi Journal of Intelligence and Information Systems 20 (2), 179-192, 2014 | 4 | 2014 |
| A knowledge distribution model to support an author in narrative creation H Kwon, S Jung, HT Kwon, WC Yoon Human Interface and the Management of Information. Information and Knowledge …, 2014 | 4 | 2014 |
| Identifying a common pattern within ancestors of emerging topics for pan-domain topic emergence prediction S Jung, A Segev Knowledge-Based Systems 258, 110020, 2022 | 3 | 2022 |
| Identification of Technology-Relevant Entities Based on Trend Curves S Jung, RR Kandadi, R Datta, R Benton, A Segev Proceedings of the 9th International Conference on Information Technology …, 2020 | 2 | 2020 |
| Neuronless knowledge processing in forests A Segev, D Curtis, C Balili, S Jung Applied Sciences 10 (7), 2509, 2020 | 2 | 2020 |
| WeStudy: 집단지성 기반 학습자료 북마킹 서비스 구현 및 사용성 평가 장진철， 이슬기， 정석환， 정치훈， 윤완철， 이문용 한국지능정보시스템학회 학술대회논문집, 257-263, 2014 | 2 | 2014 |
| Common knowledge processing patterns in networks of different systems A Segev, S Jung Plos one 18 (10), e0290326, 2023 | | 2023 |
| Semantic Similarity Analysis between Future Topics and Their Neighbors in Topic Networks for Network-based Topic Evolution S Jung, A Segev 2022 IEEE International Conference on Big Data (Big Data), 5952-5961, 2022 | | 2022 |
| Optimizing the Descendant-Aware Clustering Parameters S Jung, A Segev 2022 IEEE International Conference on Big Data (Big Data), 3675-3683, 2022 | | 2022 |
