Minbyul Jeong

1.5k total citations · 1 hit paper
13 papers, 736 citations indexed

About

Minbyul Jeong is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Minbyul Jeong has authored 13 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Minbyul Jeong's work include Topic Modeling (10 papers), Natural Language Processing Techniques (6 papers) and Biomedical Text Mining and Ontologies (5 papers). Minbyul Jeong is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (6 papers) and Biomedical Text Mining and Ontologies (5 papers). Minbyul Jeong collaborates with scholars based in South Korea, United States and China. Minbyul Jeong's co-authors include Jaewoo Kang, Hyunwoo J. Kim, Raehyun Kim, Mujeen Sung, Donghyeon Kim, Jinhyuk Lee, Wonjin Yoon, Yonghwa Choi, Chongyan Chen and Ying Ding and has published in prestigious journals such as Bioinformatics, IEEE Access and Neural Networks.

In The Last Decade

Minbyul Jeong

12 papers receiving 708 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Graph Transformer Networks

2019 316 citations Minbyul Jeong, Raehyun Kim et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minbyul Jeong South Korea	9	468	229	101	96	70	13	736
Alneu de Andrade Lopes Brazil	16	419 0.9×	95 0.4×	117 1.2×	199 2.1×	178 2.5×	72	808
Chanyoung Park South Korea	17	538 1.1×	75 0.3×	361 3.6×	147 1.5×	142 2.0×	52	781
Weijia Xu United States	12	305 0.7×	159 0.7×	135 1.3×	105 1.1×	14 0.2×	94	712
Stephen H. Bach United States	12	1.1k 2.4×	100 0.4×	203 2.0×	162 1.7×	33 0.5×	32	1.4k
Fabrício Olivetti de França Brazil	14	382 0.8×	108 0.5×	91 0.9×	82 0.9×	48 0.7×	67	638
Zheng Xie China	16	145 0.3×	96 0.4×	52 0.5×	68 0.7×	164 2.3×	109	699
Xiaoyan Cai China	21	886 1.9×	65 0.3×	440 4.4×	129 1.3×	110 1.6×	73	1.1k
Jaime G. Carbonell United States	8	288 0.6×	80 0.3×	274 2.7×	139 1.4×	41 0.6×	21	738
Janez Brank Slovenia	9	608 1.3×	185 0.8×	321 3.2×	102 1.1×	27 0.4×	26	828

Countries citing papers authored by Minbyul Jeong

Since Specialization

Citations

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

Fields of papers citing papers by Minbyul Jeong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minbyul Jeong

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Park, Jungwoo, et al.. (2025). Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information. 16616–16643.

2.

Hwang, Hyeon Seok, et al.. (2024). CompAct: Compressing Retrieved Documents Actively for Question Answering. 21424–21439. 1 indexed citations

3.

Jeong, Minbyul, et al.. (2024). Improving medical reasoning through retrieval and self-reflection with retrieval-augmented large language models. Bioinformatics. 40(Supplement_1). i119–i129. 39 indexed citations

4.

Jeong, Minbyul & Jaewoo Kang. (2023). Consistency enhancement of model prediction on document-level named entity recognition. Bioinformatics. 39(6). 4 indexed citations

5.

Jeong, Minbyul, et al.. (2022). Graph Transformer Networks: Learning meta-path graphs to improve GNNs. Neural Networks. 153. 104–119. 49 indexed citations

6.

Sung, Mujeen, Minbyul Jeong, Yonghwa Choi, et al.. (2022). BERN2: an advanced neural biomedical named entity recognition and normalization tool. Bioinformatics. 38(20). 4837–4839. 65 indexed citations

7.

Liu, Meijun, Yi Bu, Chongyan Chen, et al.. (2021). Pandemics are catalysts of scientific novelty: Evidence from COVID‐19. Journal of the Association for Information Science and Technology. 73(8). 1065–1078. 29 indexed citations

8.

Yoon, Wonjin, et al.. (2021). KU-DMIS at BioASQ 9: Data-centric and model-centric approaches for biomedical question answering.. CLEF (Working Notes). 351–359. 1 indexed citations

9.

Jeong, Minbyul, et al.. (2020). Transferability of Natural Language Inference to Biomedical Question Answering. CLEF (Working Notes). 9 indexed citations

10.

Lee, Jinhyuk, Minbyul Jeong, Mujeen Sung, et al.. (2020). Answering Questions on COVID-19 in Real-Time. 20 indexed citations

11.

Xu, Jian, Sunkyu Kim, Min Song, et al.. (2020). Building a PubMed knowledge graph. Scientific Data. 7(1). 31–205. 118 indexed citations

12.

Jeong, Minbyul, et al.. (2019). Graph Transformer Networks. arXiv (Cornell University). 32. 11960–11970. 316 indexed citations breakdown →

13.

Kim, Donghyeon, Jinhyuk Lee, Hwisang Jeon, et al.. (2019). A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining. IEEE Access. 7. 73729–73740. 85 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.

Explore authors with similar magnitude of impact