Na Hong

3.6k total citations
88 papers, 1.2k citations indexed

About

Na Hong is a scholar working on Molecular Biology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Na Hong has authored 88 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 26 papers in Artificial Intelligence and 10 papers in Epidemiology. Recurrent topics in Na Hong's work include Biomedical Text Mining and Ontologies (22 papers), Machine Learning in Healthcare (10 papers) and Topic Modeling (7 papers). Na Hong is often cited by papers focused on Biomedical Text Mining and Ontologies (22 papers), Machine Learning in Healthcare (10 papers) and Topic Modeling (7 papers). Na Hong collaborates with scholars based in China, United States and Canada. Na Hong's co-authors include K. Andrew White, Guoqian Jiang, Debashish Ray, Marc R. Fabian, Chen Wang, Peter D. Nagy, Hongfang Liu, Longxiang Su, Andrew Wen and Chun Liu and has published in prestigious journals such as Cell, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Na Hong

78 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Na Hong China 20 296 237 208 152 124 88 1.2k
Mauro Giacomini Italy 21 307 1.0× 67 0.3× 136 0.7× 179 1.2× 55 0.4× 171 1.6k
Raquel Dias United States 17 707 2.4× 99 0.4× 217 1.0× 131 0.9× 20 0.2× 44 1.6k
Hwa Jin Cho South Korea 20 193 0.7× 115 0.5× 107 0.5× 362 2.4× 25 0.2× 130 1.5k
Zisis Kozlakidis France 20 315 1.1× 200 0.8× 72 0.3× 201 1.3× 184 1.5× 127 1.7k
Guillermo López–Campos Spain 20 356 1.2× 41 0.2× 44 0.2× 158 1.0× 46 0.4× 76 1.1k
Simone Marini United States 19 596 2.0× 50 0.2× 231 1.1× 116 0.8× 11 0.1× 69 1.5k
Frank De Smet Belgium 21 628 2.1× 35 0.1× 261 1.3× 307 2.0× 34 0.3× 46 1.9k
Joyce A. Mitchell United States 24 965 3.3× 72 0.3× 288 1.4× 94 0.6× 15 0.1× 79 2.6k
Jie Cao China 22 438 1.5× 18 0.1× 75 0.4× 223 1.5× 84 0.7× 74 1.6k
Longxiang Xie China 20 944 3.2× 44 0.2× 118 0.6× 285 1.9× 80 0.6× 63 2.2k

Countries citing papers authored by Na Hong

Since Specialization
Citations

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

Fields of papers citing papers by Na Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Hong

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

All Works

20 of 20 papers shown
1.
Wang, Shichang, Yanping Song, Shuai Han, et al.. (2025). Surface modification of tantalum foil for enhanced capacitance using flash-induced tantalum powder coating and electrochemical etching. Materials Today Communications. 47. 112980–112980. 1 indexed citations
2.
Fan, Wen, Li Zhao, Jixiang Zhang, et al.. (2025). Flash Joule heating-enhanced in-situ synthesis of 3D graphene/high-entropy alloy composites for efficient electromagnetic wave absorption. Carbon. 243. 120561–120561. 4 indexed citations
3.
Gao, Qing, Shuai Han, Zhao Li, et al.. (2025). Laser-Induced Synthesis of ZnO/Graphene Composites with a Porous Structure for Supercapacitors. ACS Applied Nano Materials. 8(23). 11906–11918. 1 indexed citations
4.
Hu, Yan, Na Hong, Yiming Li, et al.. (2025). PheCatcher: Leveraging LLM-Generated Synthetic Data for Automated Phenotype Definition Extraction from Biomedical Literature. Studies in health technology and informatics. 329. 718–722. 1 indexed citations
5.
Giang, Nguyen Thi Phuong, et al.. (2024). Factors Affecting the Intention to Continue Using Online Payment Applications of SMEs at Viet Nam. 15(4). 1023–1023. 1 indexed citations
6.
Gao, Daming, Cui Liu, Liqing Chen, et al.. (2024). Regulating the Conductive Network of Graphene/Ni Composite Films toward Tunable Electromagnetic Shielding Efficiency. ACS Applied Materials & Interfaces. 16(49). 68144–68156. 5 indexed citations
7.
8.
Chen, Liqing, Nian Li, Xinling Yu, et al.. (2024). 3D graphene decorated with nickel nanoparticles: in situ synthesis, enhanced dispersibility, and absorption-dominated electromagnetic interference shielding. Journal of Materials Chemistry C. 12(10). 3579–3588. 4 indexed citations
9.
Li, Nian, Jun Kang, Xinling Yu, et al.. (2024). Valence state regulation of iron oxide composited with graphene towards negative electrodes in asymmetric supercapacitors. Journal of Materials Chemistry C. 12(20). 7325–7337. 5 indexed citations
10.
Song, Yanping, Nian Li, Jun Kang, et al.. (2024). Heterostructure-anchored 3D CNT-bridged graphene architecture via layer-by-layer structural engineering for thick electrodes of supercapacitors. Chemical Engineering Journal. 497. 154557–154557. 9 indexed citations
11.
Kang, Jun, Zhong Li, Nian Li, et al.. (2023). Oxygen-Enriched Hierarchical Nanoporous Carbon Electrodes for Supercapacitors. ACS Applied Nano Materials. 6(13). 11841–11855. 14 indexed citations
12.
Yu, Xing, Jixiang Zhang, Nian Li, et al.. (2023). Laser-induced manganese oxide/graphene composite electrodes with commercial-level mass loading towards high-performance supercapacitors. Journal of Alloys and Compounds. 969. 172435–172435. 9 indexed citations
13.
Hong, Na, Jie Ying Wu, Jianwei Gao, et al.. (2022). Machine learning‐based prognostic and metastasis models of kidney cancer. SHILAP Revista de lepidopterología. 1(2). 124–134. 5 indexed citations
14.
Katz, Daniel S. & Na Hong. (2018). FAIR is not Fair Enough, Particularly for Software Citation, Availability, or Quality. AGUFM. 2018. 1 indexed citations
15.
Sharma, Deepak, Kevin J. Peterson, Na Hong, & Guoqian Jiang. (2018). The D2Refine Platform for the Standardization of Clinical Research Study Data Dictionaries: Usability Study. JMIR Human Factors. 5(3). e10205–e10205. 3 indexed citations
16.
Yu, Yue, et al.. (2018). Developing A Standards-based Signal Detection and Validation Framework of Immune-related Adverse Events Using the OHDSI Common Data Model.. AMIA. 1 indexed citations
17.
Hong, Na, et al.. (2012). Infection Disease Ontology Construction and Application in the Knowledge Service Platform. Shuju fenxi yu zhishi faxian. 28(1). 7–12. 1 indexed citations
18.
Hong, Na, et al.. (2011). Detection Method of Latent Burst Word Based on the Clue of Energy Evolution. Shuju fenxi yu zhishi faxian. 26(11). 45–52.
19.
Hong, Na. (2006). American Campus Language and Culture-Lexical Features of Modern American Campus Language. Sino-US English Teaching. 3(7). 75–77. 4 indexed citations
20.
Hong, Na. (2003). Preliminary analysis of clinical images of SARS. Zhonghua fangshexian yixue zazhi. 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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