Young-Seob Jeong

923 total citations
63 papers, 571 citations indexed

About

Young-Seob Jeong is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Young-Seob Jeong has authored 63 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 11 papers in Signal Processing and 10 papers in Computer Networks and Communications. Recurrent topics in Young-Seob Jeong's work include Topic Modeling (15 papers), Natural Language Processing Techniques (14 papers) and Advanced Text Analysis Techniques (8 papers). Young-Seob Jeong is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (14 papers) and Advanced Text Analysis Techniques (8 papers). Young-Seob Jeong collaborates with scholars based in South Korea, United Arab Emirates and Singapore. Young-Seob Jeong's co-authors include Jiyoung Woo, Ah Reum Kang, Ho‐Jin Choi, Guang J. Choi, Kyo-Joong Oh, Sang Hyun Kim, Min‐Jeong Lee, Jiyoon Lee, Dahye Kim and Jung‐Hyun Kim and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Young-Seob Jeong

56 papers receiving 555 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Young-Seob Jeong South Korea	14	230	79	74	74	70	63	571
K. V. Prema India	11	84 0.4×	54 0.7×	28 0.4×	43 0.6×	75 1.1×	55	521
Chao Che China	16	296 1.3×	36 0.5×	15 0.2×	60 0.8×	125 1.8×	59	793
Daniel Schlegel United States	9	121 0.5×	43 0.5×	67 0.9×	21 0.3×	309 4.4×	36	763
Dariusz Brzeziński Poland	14	705 3.1×	81 1.0×	181 2.4×	95 1.3×	35 0.5×	37	1.0k
Haoran Li China	11	113 0.5×	48 0.6×	35 0.5×	15 0.2×	31 0.4×	43	340
José Luis Abellán Spain	19	171 0.7×	62 0.8×	7 0.1×	22 0.3×	116 1.7×	86	758
Lijun Cai China	12	135 0.6×	40 0.5×	11 0.1×	25 0.3×	15 0.2×	42	365
Heba Mamdouh Farghaly Egypt	6	140 0.6×	42 0.5×	27 0.4×	11 0.1×	37 0.5×	8	339
Eunho Yang South Korea	15	405 1.8×	34 0.4×	26 0.4×	31 0.4×	136 1.9×	74	691

Countries citing papers authored by Young-Seob Jeong

Since Specialization

Citations

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

Fields of papers citing papers by Young-Seob Jeong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young-Seob Jeong. 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 Young-Seob Jeong. The network helps show where Young-Seob Jeong may publish in the future.

Co-authorship network of co-authors of Young-Seob Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of Young-Seob Jeong. A scholar is included among the top collaborators of Young-Seob Jeong 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 Young-Seob Jeong. Young-Seob Jeong 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

Rajapakse, Jagath C., et al.. (2025). Positional embeddings and zero-shot learning using BERT for molecular-property prediction. Journal of Cheminformatics. 17(1). 17–17. 1 indexed citations

Jeong, Young-Seob, et al.. (2025). Subset selection for domain adaptive pre-training of language model. Scientific Reports. 15(1). 9539–9539. 1 indexed citations

Jeong, Young-Seob, et al.. (2025). HWP Malware Detection using Transformer. Journal of the Korea Society of Computer and Information. 30(1). 87–97.

Jeong, Young-Seob, et al.. (2024). Effects of Swahili Monolingual Tokenizer on Downstream Tasks. 357–358. 1 indexed citations

Jo, Kyuri, et al.. (2024). Graph Neural Networks with Multi-features for Predicting Cocrystals using APIs and Coformers Interactions. Current Medicinal Chemistry. 31(36). 5953–5968. 1 indexed citations

Jeong, Young-Seob, et al.. (2024). Transformer-based models for chemical SMILES representation: A comprehensive literature review. Heliyon. 10(20). e39038–e39038. 22 indexed citations

Jo, Kyuri, et al.. (2024). Graph Neural Network and BERT Model for Antimalarial Drug Predictions Using Plasmodium Potential Targets. Applied Sciences. 14(4). 1472–1472. 2 indexed citations

Jeong, Young-Seob, et al.. (2024). Tokenizers for African Languages. IEEE Access. 13. 1046–1054. 1 indexed citations

Jeong, Young-Seob, et al.. (2023). Multi-task learning approach for utilizing temporal relations in natural language understanding tasks. Scientific Reports. 13(1). 8587–8587. 1 indexed citations

10.

Lee, Hanbyul, et al.. (2022). Deep Learning-Based Prediction of Physical Stability considering Class Imbalance for Amorphous Solid Dispersions. Journal of Chemistry. 2022. 1–11. 11 indexed citations

11.

Jeong, Young-Seob, et al.. (2019). Survey of Temporal Information Extraction. Journal of Information Processing Systems. 15(4). 931–956. 11 indexed citations

12.

Jeong, Young-Seob, et al.. (2018). Korean TimeBank Including Relative Temporal Information. Language Resources and Evaluation. 1 indexed citations

13.

Jeong, Young-Seob, et al.. (2018). Political Opinion Mining from Article Comments using Deep Learning. Journal of the Korea Society of Computer and Information. 23(1). 9–15. 1 indexed citations

14.

Oh, Kyo-Joong, Dong Kun Lee, Young-Seob Jeong, & Ho‐Jin Choi. (2018). Out-of-Domain Detection Based on Sentence Distance for Dialogue System. 673–676. 1 indexed citations

15.

Jeong, Young-Seob, et al.. (2016). Korean TimeML and Korean TimeBank.. Language Resources and Evaluation. 356–359. 6 indexed citations

16.

Kim, Junseok, et al.. (2016). papago: A Machine Translation Service with Word Sense Disambiguation and Currency Conversion. International Conference on Computational Linguistics. 185–188. 7 indexed citations

17.

Jeong, Young-Seob, et al.. (2016). Issues about combination of temporal information and spatial information. 462–465. 2 indexed citations

18.

Jeong, Young-Seob, et al.. (2016). Another dummy generation technique in location-based services. 532–538. 10 indexed citations

19.

Jeong, Young-Seob & Ho‐Jin Choi. (2014). Overlapped latent Dirichlet allocation for efficient image segmentation. Soft Computing. 19(4). 829–838. 1 indexed citations

20.

Jeong, Young-Seob, et al.. (2013). Topic Masks for Image Segmentation. KSII Transactions on Internet and Information Systems. 7(12). 10 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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