{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T20:17:09Z","timestamp":1791836229682,"version":"4.3.4"},"reference-count":0,"publisher":"MRE Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,12]]},"abstract":"<jats:p>Background: To conduct a bibliometric analysis mapping the intellectual landscape and emerging trends in Magnetic resonance imaging (MRI) research of temporomandibular disorders (TMD), identifying knowledge gaps and future directions. Methods: A total of 1017 articles were retrieved from the Web of Science Core Collection (WOSCC) database from 1995 to 2024 using the search formula: TS (Topic Search) = (\u201cTemporomandibular Disorders\u201d OR \u201cTemporomandibular Joint Disease\u201d OR TMD) AND TS = (\u201cMagnetic Resonance Imaging\u201d OR MRI). Author\/country collaboration network, co-citation analysis, keyword clustering, and burst detection were conducted via CiteSpace 6.4.R1 (Parameters: Time slice: 1 year\u037e g-index k = 25\u037e Log-Likelihood Ratio clustering). Results: Annual publications exhibited triphasic growth, peaking at 75 articles in 2022. The United States (160 articles, centrality = 0.22) dominated global collaborations, while Shanghai Jiao Tong University emerged as the most productive institution (30 articles). Key clusters revealed 15 clusters (Q = 0.4235, S = 0.7521), with core clusters including \u201cjuvenile idiopathic arthritis\u201d and \u201cdeep learning\u201d. Burst strength identified four major research frontier directions: analysis of pathological characteristics of diseases (morphology with a burst strength of 4.49\u037e anterior disc displacement with a burst strength of 3.69)\u037e innovation in imaging examination methods (ultrasonography with a burst strength of 3.61\u037e cone-beam computed tomography with a burst strength of 3.51)\u037e development of intelligent diagnostic technologies (diagnostic criteria with a burst strength of 12.09\u037e deep learning with a burst strength of 5.81)\u037e and support for clinical management applications (management with a burst strength of 4.62). Conclusions: This study delineates an evolving research paradigm integrating Artificial Intelligence (AI)-driven diagnostics with multimodal imaging.<\/jats:p>","DOI":"10.22514\/jofph.2025.072","type":"journal-article","created":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T08:28:55Z","timestamp":1765528135000},"page":"150","source":"Crossref","is-referenced-by-count":3,"title":["Global research trends in MRI of temporomandibular disorders: a bibliometric study and visualization analysis via CiteSpace"],"prefix":"10.22514","author":[{"given":"Yu","family":"Luo","sequence":"first","affiliation":[{"name":"Department of Radiology, Hainan Hospital of PLA General Hospital, 572013 Sanya, Hainan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"26027","published-online":{"date-parts":[[2025,12,12]]},"container-title":["Journal of Oral &amp; Facial Pain and Headache"],"original-title":[],"deposited":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T08:28:56Z","timestamp":1765528136000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jofph.com\/articles\/10.22514\/jofph.2025.072"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,12]]},"references-count":0,"URL":"https:\/\/doi.org\/10.22514\/jofph.2025.072","relation":{},"ISSN":["2333-0384","2333-0376"],"issn-type":[{"value":"2333-0384","type":"print"},{"value":"2333-0376","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,12]]}}}