Erdenebileg Batbaatar

549 total citations
16 papers, 325 citations indexed

About

Erdenebileg Batbaatar is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Erdenebileg Batbaatar has authored 16 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Molecular Biology and 4 papers in Health Information Management. Recurrent topics in Erdenebileg Batbaatar's work include AI in cancer detection (4 papers), Artificial Intelligence in Healthcare (4 papers) and Biomedical Text Mining and Ontologies (2 papers). Erdenebileg Batbaatar is often cited by papers focused on AI in cancer detection (4 papers), Artificial Intelligence in Healthcare (4 papers) and Biomedical Text Mining and Ontologies (2 papers). Erdenebileg Batbaatar collaborates with scholars based in South Korea, Vietnam and China. Erdenebileg Batbaatar's co-authors include Keun Ho Ryu, Meijing Li, Ho Sun Shon, Seong Gon Choi, Kwang Ho Park, Eun Jong, Nipon Theera‐Umpon, Yongjun Piao, Kui Son Choi and Lkhagvadorj Munkhdalai and has published in prestigious journals such as IEEE Access, International Journal of Environmental Research and Public Health and Applied Sciences.

In The Last Decade

Erdenebileg Batbaatar

15 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erdenebileg Batbaatar South Korea	8	181	66	46	45	33	16	325
Muhammed J. A. Patwary Bangladesh	13	158 0.9×	20 0.3×	21 0.5×	65 1.4×	37 1.1×	43	359
Md. Rafiqul Islam Bangladesh	8	184 1.0×	83 1.3×	10 0.2×	34 0.8×	45 1.4×	29	389
Mansur Alp Toçoğlu Türkiye	8	291 1.6×	13 0.2×	20 0.4×	36 0.8×	62 1.9×	11	427
S. Mohanavalli India	8	98 0.5×	64 1.0×	29 0.6×	33 0.7×	38 1.2×	24	283
Yue Qu China	8	101 0.6×	15 0.2×	33 0.7×	34 0.8×	21 0.6×	11	390
Tanoy Debnath Bangladesh	7	222 1.2×	28 0.4×	36 0.8×	131 2.9×	74 2.2×	12	561
K. Anandakumar India	6	76 0.4×	13 0.2×	20 0.4×	85 1.9×	63 1.9×	17	280
Minlong Peng China	9	484 2.7×	32 0.5×	12 0.3×	61 1.4×	77 2.3×	21	556
Muhammad Mujahid Saudi Arabia	10	257 1.4×	11 0.2×	43 0.9×	59 1.3×	56 1.7×	32	508
Moon-Il Joo South Korea	9	98 0.5×	17 0.3×	15 0.3×	27 0.6×	129 3.9×	25	370

Countries citing papers authored by Erdenebileg Batbaatar

Since Specialization

Citations

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

Fields of papers citing papers by Erdenebileg Batbaatar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erdenebileg Batbaatar

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

All Works

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16 of 16 papers shown

Batbaatar, Erdenebileg & Keun Ho Ryu. (2025). Bio-Inspired Generative Network with Knowledge Integration. Applied Sciences. 15(24). 12918–12918.

Batbaatar, Erdenebileg, et al.. (2023). Synthetic Tabular Data Based on Generative Adversarial Networks in Health Care: Generation and Validation Using the Divide-and-Conquer Strategy. JMIR Medical Informatics. 11. e47859–e47859. 6 indexed citations

Batbaatar, Erdenebileg, et al.. (2022). Deep Autoencoder based Classification for Clinical Prediction of Kidney Cancer. The Transactions of The Korean Institute of Electrical Engineers. 71(10). 1393–1404. 1 indexed citations

Shon, Ho Sun, et al.. (2021). Unsupervised Pre-Training of Imbalanced Data for Identification of Wafer Map Defect Patterns. IEEE Access. 9. 52352–52363. 26 indexed citations

Batbaatar, Erdenebileg, et al.. (2021). Effect of Psychological Factors on Credit Risk: A Case Study of the Microlending Service in Mongolia. Behavioral Sciences. 11(4). 47–47. 7 indexed citations

Park, Kwang Ho, Erdenebileg Batbaatar, Yongjun Piao, Nipon Theera‐Umpon, & Keun Ho Ryu. (2021). Deep Learning Feature Extraction Approach for Hematopoietic Cancer Subtype Classification. International Journal of Environmental Research and Public Health. 18(4). 2197–2197. 19 indexed citations

Batbaatar, Erdenebileg, et al.. (2020). Class-Incremental Learning With Deep Generative Feature Replay for DNA Methylation-Based Cancer Classification. IEEE Access. 8. 210800–210815. 6 indexed citations

Munkhdalai, Lkhagvadorj, Kwang Ho Park, Erdenebileg Batbaatar, Nipon Theera‐Umpon, & Keun Ho Ryu. (2020). Deep Learning-Based Demand Forecasting for Korean Postal Delivery Service. IEEE Access. 8. 188135–188145. 8 indexed citations

Shon, Ho Sun, et al.. (2020). Classification of Kidney Cancer Data Using Cost-Sensitive Hybrid Deep Learning Approach. Symmetry. 12(1). 154–154. 29 indexed citations

10.

Batbaatar, Erdenebileg, Van-Huy Pham, & Keun Ho Ryu. (2020). Multi-Task Topic Analysis Framework for Hallmarks of Cancer with Weak Supervision. Applied Sciences. 10(3). 834–834. 1 indexed citations

11.

Lee, Sangwon, et al.. (2020). A Deep Learning Model for Estimation of Patients with Undiagnosed Diabetes. Applied Sciences. 10(1). 421–421. 19 indexed citations

12.

Batbaatar, Erdenebileg & Keun Ho Ryu. (2019). Ontology-Based Healthcare Named Entity Recognition from Twitter Messages Using a Recurrent Neural Network Approach. International Journal of Environmental Research and Public Health. 16(19). 3628–3628. 39 indexed citations

13.

Batbaatar, Erdenebileg, Meijing Li, & Keun Ho Ryu. (2019). Semantic-Emotion Neural Network for Emotion Recognition From Text. IEEE Access. 7. 111866–111878. 149 indexed citations

14.

Park, Hyun Woo, et al.. (2018). Application of a Mobile Chronic Disease Health-Care System for Hypertension Based on Big Data Platforms. Journal of Sensors. 2018. 1–13. 8 indexed citations

15.

Park, Hyun Woo, et al.. (2016). Risk factors rule mining in hypertension: Korean National Health and Nutrient Examinations Survey 2007–2014. 19. 1–4. 4 indexed citations

16.

Park, Hyun Woo, et al.. (2016). Design and Partial Implementation of Health Care System for Disease Detection and Behavior Analysis by Using DM Techniques. 781–786. 3 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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