Research Progress of Optic Nerve Imaging During 1991-2023: a Bibliometric Analysis

Overview

Journal Quant Imaging Med Surg

Specialty Radiology

Date 2024 Sep 16

PMID 39281143

Authors

Haiyang Zhang

Xin Ning Lee

Kexin Tan

Qianyue Zhang

Jipeng Li

Huifang Zhou

Xuefei Song

Xianqun Fan

Affiliations

Soon will be listed here.

Abstract

Background: Optic nerve imaging is crucial for diagnosing and understanding optic neuropathies because it provides detailed visualization of the nerve's structure and pathologies through advanced modalities. This study conducted a bibliometric analysis within the field of optic nerve imaging, aiming to pinpoint the latest research trends and focal points in optic nerve imaging.

Methods: The core literature on optic nerve imaging published between January 1991 and August 2023 was retrieved from the Web of Science Core Collection. The analysis and visualization of scientific productivity and emerging trends were facilitated through the utilization of Bibliometrix software, CiteSpace, Gephi, VOSviewer, R software, and Python.

Results: In total, 15,247 publications on optic nerve imaging were included in the analysis. Notably, the top 3 journals contributing to this field were , , and the . This research on optic nerve imaging extended across 97 countries, with the USA leading in research endeavors. Noteworthy burst term analysis revealed that "Segmentation" and "Machine learning" are gaining attention. Additionally, the Latent Dirichlet Allocation model indicated that image processing has been a hotspot in recent years.

Conclusions: This study revealed the research trends, hotspots, and emerging topics in optic nerve imaging through bibliometric analysis and network visualization. At present, the research focus is directed towards employing artificial intelligence for image post-processing. The findings of this study offer valuable insights into future research direction and clinical applications.

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