Juhee Bae

545 total citations
28 papers, 376 citations indexed

About

Juhee Bae is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Juhee Bae has authored 28 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 5 papers in Management Science and Operations Research. Recurrent topics in Juhee Bae's work include Data Visualization and Analytics (8 papers), Forecasting Techniques and Applications (4 papers) and Data Management and Algorithms (3 papers). Juhee Bae is often cited by papers focused on Data Visualization and Analytics (8 papers), Forecasting Techniques and Applications (4 papers) and Data Management and Algorithms (3 papers). Juhee Bae collaborates with scholars based in Sweden, United States and South Korea. Juhee Bae's co-authors include Jooho Kim, Makarand Hastak, Benjamin Watson, Maria Riveiro, Jean‐Daniel Fekete, Pierre Dragicevic, Anastasia Bezerianos, Tove Helldin, Yurong Li and Gunnar Mathiason and has published in prestigious journals such as Sensors, ACM Computing Surveys and International Journal of Information Management.

In The Last Decade

Juhee Bae

24 papers receiving 361 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Juhee Bae 104 95 82 73 72 28 376
O‐Joun Lee 114 1.1× 76 0.8× 169 2.1× 17 0.2× 64 0.9× 58 421
Kevin Robert Canini 65 0.6× 89 0.9× 221 2.7× 18 0.2× 59 0.8× 16 413
Enrico Corradini 58 0.6× 95 1.0× 177 2.2× 27 0.4× 87 1.2× 40 454
Dilek Küçük 45 0.4× 85 0.9× 328 4.0× 26 0.4× 27 0.4× 36 547
Patrick Riehmann 202 1.9× 38 0.4× 105 1.3× 12 0.2× 39 0.5× 21 421
Teresa Onorati 57 0.5× 69 0.7× 96 1.2× 39 0.5× 19 0.3× 33 342
Marin Vuković 42 0.4× 77 0.8× 105 1.3× 83 1.1× 37 0.5× 45 342
Kostiantyn Kucher 328 3.2× 66 0.7× 355 4.3× 13 0.2× 53 0.7× 48 678
Alvin Chin 64 0.6× 115 1.2× 125 1.5× 83 1.1× 187 2.6× 63 689

Countries citing papers authored by Juhee Bae

Since Specialization
Citations

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

Fields of papers citing papers by Juhee Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juhee Bae

This figure shows the co-authorship network connecting the top 25 collaborators of Juhee Bae. A scholar is included among the top collaborators of Juhee Bae 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 Juhee Bae. Juhee Bae 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.
Bae, Juhee. (2024). Factor-augmented forecasting in big data. International Journal of Forecasting. 40(4). 1660–1688.
3.
Ahn, Seung C. & Juhee Bae. (2022). Forecasting with Partial Least Squares When a Large Number of Predictors Are Available. SSRN Electronic Journal. 5 indexed citations
4.
Bae, Juhee. (2022). Factor-Augmented Forecasting in Big Data. SSRN Electronic Journal. 1 indexed citations
5.
Bae, Juhee, Tove Helldin, Maria Riveiro, et al.. (2020). Interactive Clustering. ACM Computing Surveys. 53(1). 1–39. 30 indexed citations
6.
Bae, Juhee, et al.. (2020). Using Machine Learning for Robust Target Prediction in a Basic Oxygen Furnace System. Metallurgical and Materials Transactions B. 51(4). 1632–1645. 38 indexed citations
7.
Holst, Anders, Juhee Bae, Alexander Karlsson, & Mohamed-Rafik Bouguelia. (2019). Interactive Clustering for Exploring Multiple Data Streams at Different Time Scales and Granularity. 297. 1–7. 1 indexed citations
8.
Holst, Anders, Sepideh Pashami, & Juhee Bae. (2019). Incremental Causal Discovery and Visualization. 1–6. 1 indexed citations
9.
Bae, Juhee, et al.. (2019). UIBK. 131–132.
10.
Kim, Jooho, Juhee Bae, & Makarand Hastak. (2018). Emergency information diffusion on online social media during storm Cindy in U.S.. International Journal of Information Management. 40. 153–165. 126 indexed citations
11.
Pashami, Sepideh, Anders G. Holst, Juhee Bae, & Sławomir Nowaczyk. (2018). Causal discovery using clusters from observational data. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
12.
Karlsson, Alexander, et al.. (2018). Evaluation of the Dirichlet Process Multinomial Mixture Model for Short-Text Topic Modeling. 79–83. 2 indexed citations
13.
Bae, Juhee, et al.. (2017). A Billiard Metaphor for Exploring Complex Graphs. 1798. 37–40. 2 indexed citations
14.
Bae, Juhee, et al.. (2017). Evaluating Multi-attributes on Cause and Effect Relationship Visualization. University Library of Skövde (University of Skövde). 64–74. 5 indexed citations
15.
Son, Seungmin, Chang Jae Oh, Juhee Bae, Hyoungseok Lee, & Chung Sun An. (2015). GmREM1.1 and GmREM2.1, which encode the remorin proteins in soybean, have distinct roles during root nodule development. Journal of Plant Biology. 58(1). 17–25. 9 indexed citations
16.
Kim, Goon-Bo, Juhee Bae, Chung Sun An, & Youngwoo Nam. (2013). Single or Multiple Gene Silencing Directed by U6 Promoter-Based shRNA Vectors Facilitates Efficient Functional Genome Analysis in Medicago truncatula. Plant Molecular Biology Reporter. 31(4). 963–977. 4 indexed citations
17.
Bae, Juhee & Benjamin Watson. (2011). Developing and Evaluating Quilts for the Depiction of Large Layered Graphs. IEEE Transactions on Visualization and Computer Graphics. 17(12). 2268–2275. 15 indexed citations
18.
Bezerianos, Anastasia, Pierre Dragicevic, Jean‐Daniel Fekete, Juhee Bae, & Benjamin Watson. (2010). GeneaQuilts: A System for Exploring Large Genealogies. IEEE Transactions on Visualization and Computer Graphics. 16(6). 1073–1081. 62 indexed citations
19.
Bae, Juhee, et al.. (2007). Technology Forecasting of RFID by Using Bibliometric Analysis and Bass Diffusion Model. 1. 1637–1642. 19 indexed citations
20.
Bae, Juhee, et al.. (2007). Poster: Scalable Service-Oriented Telemetry Acquisition and Distribution. 1–3. 1 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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