Dong‐Gi Lee

468 total citations
33 papers, 252 citations indexed

About

Dong‐Gi Lee is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dong‐Gi Lee has authored 33 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dong‐Gi Lee's work include Bioinformatics and Genomic Networks (8 papers), Biomedical Text Mining and Ontologies (4 papers) and Computational Drug Discovery Methods (4 papers). Dong‐Gi Lee is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Biomedical Text Mining and Ontologies (4 papers) and Computational Drug Discovery Methods (4 papers). Dong‐Gi Lee collaborates with scholars based in South Korea, United States and France. Dong‐Gi Lee's co-authors include Hyunjung Shin, S. Dey, Myung-Jun Kim, Duck‐Ho Bae, Joo-Young Hwang, Jaeheon Jeong, Insoon Jo, Sangyeun Cho, Dokyoon Kim and Dong-Hyeok Son and has published in prestigious journals such as Bioinformatics, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Dong‐Gi Lee

25 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dong‐Gi Lee South Korea	10	50	46	45	42	38	33	252
Rahmat Mulyawan Indonesia	10	34 0.7×	9 0.2×	238 5.3×	48 1.1×	61 1.6×	50	374
Yukiko Yamauchi Japan	9	141 2.8×	16 0.3×	56 1.2×	13 0.3×	14 0.4×	36	236
Robert Gmyr Germany	10	101 2.0×	42 0.9×	13 0.3×	26 0.6×	104 2.7×	24	244
Zijie Ji China	10	62 1.2×	11 0.2×	193 4.3×	52 1.2×	47 1.2×	24	290
Ibrahim Ahmed United States	8	36 0.7×	18 0.4×	207 4.6×	14 0.3×	171 4.5×	17	320
Jungsun Kim South Korea	7	22 0.4×	29 0.6×	25 0.6×	136 3.2×	61 1.6×	18	289
Ivica Slavkov Slovenia	6	52 1.0×	51 1.1×	4 0.1×	25 0.6×	53 1.4×	9	209
Weihao Gao China	8	18 0.4×	22 0.5×	25 0.6×	37 0.9×	84 2.2×	36	240
Ting-Yi Wu Taiwan	8	86 1.7×	25 0.5×	225 5.0×	14 0.3×	99 2.6×	46	323
Yin Li China	8	54 1.1×	40 0.9×	28 0.6×	109 2.6×	75 2.0×	44	331

Countries citing papers authored by Dong‐Gi Lee

Since Specialization

Citations

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

Fields of papers citing papers by Dong‐Gi Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Gi Lee. 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 Dong‐Gi Lee. The network helps show where Dong‐Gi Lee may publish in the future.

Co-authorship network of co-authors of Dong‐Gi Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Gi Lee. A scholar is included among the top collaborators of Dong‐Gi Lee 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 Dong‐Gi Lee. Dong‐Gi Lee 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

Lee, Dong‐Gi, et al.. (2025). PPIxGPN: plasma proteomic profiling of neurodegenerative biomarkers with protein–protein interaction-based eXplainable graph propagational network. Briefings in Bioinformatics. 26(3).

Kim, Do Yoon, Chang Hyung Hong, Sang Joon Son, et al.. (2024). Plasma protein-based identification of neuroimage-driven subtypes in mild cognitive impairment via protein-protein interaction aware explainable graph propagational network. Computers in Biology and Medicine. 183. 109303–109303. 1 indexed citations

Kim, Jaesik, Sang‐Hyuk Jung, Erica Suh, et al.. (2024). Harnessing Artificial Intelligence in Multimodal Omics Data Integration: Paving the Path for the Next Frontier in Precision Medicine. PubMed. 7(1). 225–250. 29 indexed citations

Lee, Dong‐Gi, et al.. (2024). Dissatisfaction-considered waiting time prediction for outpatients with interpretable machine learning. Health Care Management Science. 27(3). 370–390. 3 indexed citations

Lee, Dong‐Gi, et al.. (2024). Illegal Online Gambling Site Detection using Multiple Resource-Oriented Machine Learning. Journal of Gambling Studies. 40(4). 2237–2255.

Kim, Hwan‐Cheol, et al.. (2024). A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records. BioData Mining. 17(1). 14–14. 4 indexed citations

Kim, Soo Young, Su‐Jin Shin, Dong‐Gi Lee, et al.. (2023). Clinicopathological and Genetic Characteristics of Patients of Different Ages with Diffuse Sclerosing Variant Papillary Thyroid Carcinoma. Cancers. 15(12). 3101–3101. 9 indexed citations

Hong, Chang Hyung, et al.. (2023). Prospective classification of Alzheimer’s disease conversion from mild cognitive impairment. Neural Networks. 164. 335–344. 15 indexed citations

Kim, Myung-Jun, et al.. (2020). Inference on historical factions based on multi-layered network of historical figures. Expert Systems with Applications. 161. 113703–113703. 3 indexed citations

10.

Lee, Dong‐Gi, et al.. (2019). The translational network for metabolic disease – from protein interaction to disease co-occurrence. BMC Bioinformatics. 20(1). 576–576. 8 indexed citations

11.

Lee, Dong‐Gi, Myung-Jun Kim, & Hyunjung Shin. (2019). Inference on chains of disease progression based on disease networks. PLoS ONE. 14(6). e0218871–e0218871. 5 indexed citations

12.

Bae, Duck‐Ho, Insoon Jo, Joo-Young Hwang, et al.. (2018). 2B-SSD: The Case for Dual, Byte- and Block-Addressable Solid-State Drives. 425–438. 35 indexed citations

13.

Lee, Dong‐Gi & Hyunjung Shin. (2017). Disease causality extraction based on lexical semantics and document-clause frequency from biomedical literature. BMC Medical Informatics and Decision Making. 17(S1). 53–53. 16 indexed citations

14.

Lee, Dong‐Gi, et al.. (2017). Network mirroring for drug repositioning. BMC Medical Informatics and Decision Making. 17(S1). 55–55. 14 indexed citations

15.

Lee, Dong‐Gi, Young‐Woo Jo, Dong-Hyeok Son, et al.. (2016). Performance of AlGaN/GaN Nanowire Omega-Shaped-Gate Fin-Shaped Field-Effect Transistor. Journal of Nanoscience and Nanotechnology. 16(5). 5049–5052. 5 indexed citations

16.

Son, Dong-Hyeok, Dong‐Gi Lee, Yoon‐Ha Jeong, et al.. (2015). 1/f Noise Characteristics of AlGaN/GaN FinFETs with and without TMAH surface treatment. Microelectronic Engineering. 147. 134–136. 10 indexed citations

17.

Kim, Jin Hyoung, et al.. (2010). Effects of Molding Condition on Surface Unevenness of GFRP Composites in Compression Molding. Transactions of the Korean Society of Mechanical Engineers A. 34(11). 1649–1657. 1 indexed citations

18.

Lee, Dong‐Gi & Sujit Dey. (2003). Addressing Server Latency and Capacity to Enable Fast and Affordable Wireless Image Data Services.. 40–47. 1 indexed citations

19.

Lee, Dong‐Gi, et al.. (2000). Optimization of the Path of Inner Reinforcement for an Automobile Hood Using Design Sensitivity Analysis. Transactions of the Korean Society of Mechanical Engineers A. 24(1). 62–68. 1 indexed citations

20.

Jung, Tae‐Sung, Sung‐Hee Cho, Dong‐Gi Lee, et al.. (1997). A 3.3-V single power supply 16-Mb nonvolatile virtual DRAM using a NAND flash memory technology. IEEE Journal of Solid-State Circuits. 32(11). 1748–1757. 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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