Byeong Man Kim

811 total citations
40 papers, 511 citations indexed

About

Byeong Man Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Byeong Man Kim has authored 40 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Information Systems. Recurrent topics in Byeong Man Kim's work include Recommender Systems and Techniques (9 papers), Music and Audio Processing (8 papers) and Image Retrieval and Classification Techniques (4 papers). Byeong Man Kim is often cited by papers focused on Recommender Systems and Techniques (9 papers), Music and Audio Processing (8 papers) and Image Retrieval and Classification Techniques (4 papers). Byeong Man Kim collaborates with scholars based in South Korea, United States and Uzbekistan. Byeong Man Kim's co-authors include Qing Li, Sung Hyon Myaeng, Ju Youn Kim, Adele E. Howe, Hyun Ah Lee, Wansu Lim, Dong‐Seong Kim, Dong Seong Kim, Hae-Yeoun Lee and Yuanzhu Peter Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and Information Processing & Management.

In The Last Decade

Byeong Man Kim

32 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Byeong Man Kim South Korea	10	350	166	154	106	73	40	511
Anna Maclachlan Canada	6	354 1.0×	127 0.8×	175 1.1×	43 0.4×	70 1.0×	8	478
Jay Budzik United States	11	452 1.3×	141 0.8×	267 1.7×	105 1.0×	104 1.4×	19	689
Marius Kaminskas Italy	9	388 1.1×	229 1.4×	200 1.3×	222 2.1×	38 0.5×	11	619
Simon Dooms Belgium	13	357 1.0×	126 0.8×	157 1.0×	38 0.4×	72 1.0×	25	426
Negar Hariri United States	12	550 1.6×	120 0.7×	281 1.8×	136 1.3×	78 1.1×	15	643
A. Nanopoulos Greece	8	308 0.9×	107 0.6×	128 0.8×	147 1.4×	170 2.3×	13	516
Justin Basilico United States	9	279 0.8×	111 0.7×	181 1.2×	35 0.3×	40 0.5×	14	432
SangKeun Lee South Korea	13	232 0.7×	106 0.6×	329 2.1×	74 0.7×	210 2.9×	92	670
Jonathan Gemmell United States	10	373 1.1×	124 0.7×	274 1.8×	46 0.4×	88 1.2×	27	581
Álvaro Barreiro Spain	14	317 0.9×	95 0.6×	352 2.3×	72 0.7×	58 0.8×	58	561

Countries citing papers authored by Byeong Man Kim

Since Specialization

Citations

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

Fields of papers citing papers by Byeong Man Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byeong Man Kim. 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 Byeong Man Kim. The network helps show where Byeong Man Kim may publish in the future.

Co-authorship network of co-authors of Byeong Man Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Byeong Man Kim. A scholar is included among the top collaborators of Byeong Man Kim 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 Byeong Man Kim. Byeong Man Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kim, Byeong Man, et al.. (2023). Comparative Analysis of Vision Transformer Models for Facial Emotion Recognition Using Augmented Balanced Datasets. Applied Sciences. 13(22). 12271–12271. 8 indexed citations

Kim, Byeong Man, et al.. (2021). How to Retrieve Music using Mood Tags in a Folksonomy. Journal of Web Engineering.

Jung, Yuchul, et al.. (2020). Low-resource YouTube comment encoding for Luganda sentiment classification performance. Journal of Digital Contents Society. 21(5). 951–958.

Kim, Dong Seong, et al.. (2019). Analysis of Mood Tags For Music Recommendation. Journal of the Korea Industrial Information Systems Research. 24(1). 13–21. 2 indexed citations

Kim, Byeong Man, et al.. (2019). The Color-Music Relationship Direct Modeling using Machine Learning. 629–631.

Kim, Byeong Man, et al.. (2019). Real-time Parallel Image-processing Scheme for a Fire-control System. IEIE Transactions on Smart Processing and Computing. 8(1). 27–35. 1 indexed citations

Kim, Byeong Man, et al.. (2019). A layer-wise Perturbation based Privacy Preserving Deep Neural Networks. 389–394. 13 indexed citations

Kim, Dong‐Seong, et al.. (2019). Multimedia content recommendation in social networks using mood tags and synonyms. Multimedia Systems. 26(2). 139–156. 6 indexed citations

Lim, Wansu, et al.. (2017). Eigenface analysis for brain signal classification: a novel algorithm. 2(2). 148–148. 4 indexed citations

10.

Kim, Hyun Soo, et al.. (2016). A Fast Way for Alignment Marker Detection and Position Calibration. KIPS Transactions on Software and Data Engineering. 5(1). 35–42. 1 indexed citations

11.

Kim, Byeong Man, et al.. (2012). POS Data Analysis System based on Association Rule Analysis. Journal of the Korea Industrial Information Systems Research. 17(5). 9–17. 1 indexed citations

12.

Kim, Byeong Man, et al.. (2009). Automatic Music Mood Detection through Musical Structure Analysis. 2. 1–6. 3 indexed citations

13.

Kim, Byeong Man & Qing Li. (2005). Probabilistic Model Estimation for Collaborative Filtering Based on Items Attributes. 185–191. 4 indexed citations

14.

Kim, Byeong Man, et al.. (2005). The design and implementation of automata-based testing environment for Java multi-thread programs. 221–228. 7 indexed citations

15.

Kim, Byeong Man & Qing Li. (2004). Probabilistic Model Estimation for Collaborative Filtering Based on Items Attributes. 185–191. 17 indexed citations

16.

Li, Qing & Byeong Man Kim. (2004). Clustering approach for hybrid recommender system. 33–38. 105 indexed citations

17.

Kim, Byeong Man, et al.. (2003). A GA-Based Fuzzy Traffic Controller for an Intersection with Time-Varying Flow Rate. IEICE Transactions on Information and Systems. 86(7). 1270–1279. 1 indexed citations

18.

Li, Qing & Byeong Man Kim. (2003). An approach for combining content-based and collaborative filters. 11. 17–24. 47 indexed citations

19.

Kim, Byeong Man, et al.. (2000). A New Approach to Deterministic Execution Testing for Concurrent Programs. IEICE Transactions on Information and Systems. 84(12). 1756–1766. 2 indexed citations

20.

Kim, Byeong Man, et al.. (1992). A new subsumption method in the connection graph proof procedure. Theoretical Computer Science. 103(2). 283–309. 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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