Donghyeon Kim

7.4k total citations · 1 hit paper
24 papers, 4.0k citations indexed

About

Donghyeon Kim is a scholar working on Molecular Biology, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Donghyeon Kim has authored 24 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Donghyeon Kim's work include Biomedical Text Mining and Ontologies (7 papers), Topic Modeling (7 papers) and Speech and Audio Processing (4 papers). Donghyeon Kim is often cited by papers focused on Biomedical Text Mining and Ontologies (7 papers), Topic Modeling (7 papers) and Speech and Audio Processing (4 papers). Donghyeon Kim collaborates with scholars based in South Korea, United States and China. Donghyeon Kim's co-authors include Jaewoo Kang, Jinhyuk Lee, Sunkyu Kim, Wonjin Yoon, Sungdong Kim, Minbyul Jeong, Mujeen Sung, Jeong Wook Lee, Yonghwa Choi and Yong-Hwa Choi and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Donghyeon Kim

23 papers receiving 3.8k 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.

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

2019 3.6k citations Jinhyuk Lee, Wonjin Yoon et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Donghyeon Kim South Korea	8	3.0k	1.7k	280	248	248	24	4.0k
Wonjin Yoon South Korea	6	2.9k 1.0×	1.6k 0.9×	279 1.0×	225 0.9×	220 0.9×	13	3.8k
Sungdong Kim South Korea	12	2.8k 0.9×	1.5k 0.9×	274 1.0×	213 0.9×	215 0.9×	42	4.0k
Jinhyuk Lee South Korea	21	3.2k 1.1×	2.1k 1.2×	280 1.0×	263 1.1×	265 1.1×	43	4.6k
Karin Verspoor Australia	34	2.1k 0.7×	1.8k 1.0×	179 0.6×	299 1.2×	171 0.7×	246	3.8k
Hoifung Poon United States	25	3.3k 1.1×	1.0k 0.6×	327 1.2×	276 1.1×	270 1.1×	66	4.3k
Hong Yu United States	32	3.2k 1.1×	1.9k 1.1×	120 0.4×	360 1.5×	143 0.6×	173	4.5k
Kirk Roberts United States	29	1.9k 0.6×	1.0k 0.6×	180 0.6×	211 0.9×	72 0.3×	136	3.0k
Tapio Salakoski Finland	30	2.0k 0.7×	2.0k 1.2×	167 0.6×	248 1.0×	172 0.7×	166	3.8k
Özlem Uzuner United States	37	4.2k 1.4×	2.8k 1.6×	201 0.7×	332 1.3×	107 0.4×	113	5.3k
Tristan Naumann United States	17	2.2k 0.7×	919 0.5×	429 1.5×	76 0.3×	85 0.3×	34	3.0k

Countries citing papers authored by Donghyeon Kim

Since Specialization

Citations

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

Fields of papers citing papers by Donghyeon Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghyeon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Donghyeon Kim. A scholar is included among the top collaborators of Donghyeon 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 Donghyeon Kim. Donghyeon Kim 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:

20 of 20 papers shown

1.

Choi, Yun‐Nam, et al.. (2025). Quadruplet codon decoding-based versatile genetic biocontainment system. Nucleic Acids Research. 53(1). 2 indexed citations

2.

Kim, Donghyeon, et al.. (2024). WaveVC: Speech and Fundamental Frequency Consistent Raw Audio Voice Conversion. Neural Processing Letters. 56(3). 1 indexed citations

3.

Kim, Donghyeon, et al.. (2023). Efficient Dynamic Filter For Robust and Low Computational Feature Extraction. 540–547. 1 indexed citations

4.

Kim, Donghyeon & Jinsung Kim. (2023). Optimization of designing multiple genes encoding the same protein based on NSGA-II for efficient execution on GPUs. Electronic Research Archive. 31(9). 5313–5339. 1 indexed citations

5.

Kim, Donghyeon, et al.. (2023). Open Set Bioacoustic Signal Classification based on Class Anchor Clustering with Closed Set Unknown Bioacoustic Signals. PubMed. 2023. 1–4. 2 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.

Kim, Donghyeon, et al.. (2022). Discriminatory and Orthogonal Feature Learning for Noise Robust Keyword Spotting. IEEE Signal Processing Letters. 29. 1913–1917. 3 indexed citations

8.

Kim, Jung‐Min, et al.. (2020). Temporal attention based animal sound classification. The Journal of the Acoustical Society of Korea. 39(5). 406–413.

9.

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

10.

Kim, Donghyeon & Jeong Wook Lee. (2020). Genetic Biocontainment Systems for the Safe Use of Engineered Microorganisms. Biotechnology and Bioprocess Engineering. 25(6). 974–984. 24 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.

Lee, Jinhyuk, Wonjin Yoon, Sungdong Kim, et al.. (2019). BioBERT: a pre-trained biomedical language representation model for biomedical text mining. Bioinformatics. 36(4). 1234–1240. 3644 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

14.

Lee, Sunwon, Donghyeon Kim, Kyubum Lee, et al.. (2016). BEST: Next-Generation Biomedical Entity Search Tool for Knowledge Discovery from Biomedical Literature. PLoS ONE. 11(10). e0164680–e0164680. 62 indexed citations

15.

Choi, Jaehoon, Donghyeon Kim, Donghee Choi, et al.. (2015). Smith Search. 187–190. 2 indexed citations

16.

Choi, Jaehoon, Donghyeon Kim, Seongsoon Kim, et al.. (2012). BOSS: context-enhanced search for biomedical objects. BMC Medical Informatics and Decision Making. 12(S1). S7–S7. 9 indexed citations

17.

Choi, Jaehoon, Donghyeon Kim, Seongsoon Kim, et al.. (2012). CONSENTO. 481–482. 1 indexed citations

18.

Choi, Jaehoon, Donghyeon Kim, Seongsoon Kim, et al.. (2012). CONSENTO. 1935–1939. 5 indexed citations

19.

Choi, Jaehoon, Donghyeon Kim, Seongsoon Kim, et al.. (2011). BOSS. 19–26. 1 indexed citations

20.

Kim, Donghyeon & Woojin Chung. (2011). Localization of outdoor mobile robots using road features. 363–365. 2 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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