{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T10:06:38Z","timestamp":1785405998373,"version":"3.56.0"},"reference-count":0,"publisher":"African Journals Online (AJOL)","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Mal. Med. J"],"abstract":"<jats:p>AimTo quantify publication trends, map international collaboration networks, and identify dominant and emerging research themes inPulmonary fibrosis(PF) imaging (2015\u20132024).MethodsA structured Web of Science search combining PF- and imaging-related terms yielded 1,159 English-language original researcharticles. Analyses employed CiteSpace, VOSviewer, and Scimago Graphica for trend assessment, keyword co-occurrence, citationburst detection, and collaboration network visualization.ResultsAnnual publication volume showed sustained linear growth (R\u00b2 = 0.867). Researchers from 64 countries contributed; the UnitedStates led in output (332 publications) and citation impact (9,821 citations), while China ranked second in volume (224publications) with lower proportional citation impact. The Western Europe\u2013North America axis showed the densest collaborativeties. Keyword co-occurrence revealed close thematic links among idiopathic pulmonary fibrosis, high-resolution computedtomography (HRCT), usual interstitial pneumonia (UIP), survival, and mortality. Citation burst analysis identified \u201cdeep learning\u201das the strongest and most sustained burst (2021\u20132024), by which point it had shifted from exploratory method to establisheddomain. Three overlapping research phases emerged: diagnostic framework consolidation (2015\u20132018), computational computedtomography (CT)-based phenotyping (2016\u20132022), and therapeutic expansion toward antifibrotics and progressive fibrosinginterstitial lung disease (2019\u2013 2024).ConclusionPF imaging research has shifted from diagnostic consensus toward quantitative CT biomarkers and artificial intelligence(AI)drivenphenotyping, driven by the need to reduce interobserver variability and enable individualized risk stratification. Geographicfragmentation and limited multicenter validation remain key barriers to AI generalizability. Future priorities include standardizedimaging protocols, prospective multicenter validation cohorts, and integration of AI-driven CT phenotyping with multi-omics andcirculating biomarkers for prognostic precision.<\/jats:p>","DOI":"10.4314\/mmj.v38i2.9","type":"journal-article","created":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T09:53:13Z","timestamp":1785405193000},"page":"116-122","source":"Crossref","is-referenced-by-count":0,"title":["Bibliometric Analysis of Pulmonary Fibrosis Imaging Research: Knowledge Graph Construction Based on the Web of Science Core Database"],"prefix":"10.4314","volume":"38","author":[{"given":"Shuo","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiyue","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuting","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaqi","family":"Yan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuhan","family":"Bian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pardis","family":"Bahadori","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenwang","family":"Jin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2895","published-online":{"date-parts":[[2026]]},"container-title":["Malawi Medical Journal"],"original-title":[],"link":[{"URL":"https:\/\/www.ajol.info\/index.php\/mmj\/article\/download\/330609\/310814","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.ajol.info\/index.php\/mmj\/article\/download\/330609\/310814","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T09:53:16Z","timestamp":1785405196000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ajol.info\/index.php\/mmj\/article\/view\/330609"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":0,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2026]]}},"URL":"https:\/\/doi.org\/10.4314\/mmj.v38i2.9","relation":{},"ISSN":["1995-7262","1995-7270"],"issn-type":[{"value":"1995-7262","type":"electronic"},{"value":"1995-7270","type":"print"}],"subject":[],"published":{"date-parts":[[2026]]}}}