Impact Factor
3.21
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
2.53
319 total citations
h5-index
22
h5 depth signal
Cited share
71.1%
91 of 128
Total citations
319
Citation footprint
Metric signal
2.87
External metric anchor
Self-citation
2.2%
7 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
Japan
217
Turkey
187
Brazil
60
China
55
United States
42
Citing Fields of Research
Dentistry & Oral Medicine
527
Musculoskeletal & Nerve Cancer
100
Cosmetic Surgery
72
Oncology
67
Osteopathies
65
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
1,392
Articles tracked across the journal lifetime
Indexed publication set
128
91 cited publications
Last 12 months
103
8.6 publications/month
Open access share
25.2%
26 OA publications in the last year
Leading citing country
Japan
217 citing publications
Leading citing field
Dentistry & Oral Medicine
527 citing publications
Latest tracked publication
8 September 2026
10 recent records available
Coverage & Indexing History
v34n1, Jan. 2018-
v34n1, Jan. 2018- ; Selected citations only before this date
Research Focus & Classification
Indexed Subjects
Dentistry & Oral Medicine
Issuing & Sponsoring Bodies
Contributor
Nihon Shika Hōshasen Gakkai
Broad Categories
Radiology
Dentistry & Oral Medicine
MeSH Descriptors
Diagnosis, Oral
Radiography, Dental
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1007/s11282-026-00969-9
Open DOI
Artificial intelligence–based segmentation of mandibular canal on cone-beam computed tomography: a systematic review and meta-analysis
Objectives To systematically evaluate the accuracy and generalizability of artificial intelligence (AI)–based segmentation of mandibular canal and related anatomical structures on cone-beam computed tomography (CBCT) and to examine metho...
02
DOI 10.1007/s11282-026-00968-w
Open DOI
A narrative review of artificial intelligence in dental imaging: from dataset design to clinical translation
Objectives To review the development pipeline of artificial intelligence (AI) in dental imaging, focusing on dataset design, annotation quality, model development, validation, and clinical translation. Data Published literature on AI app...
03
04
05
DOI 10.1007/s11282-026-00966-y
Open DOI
Positron emission tomography/computed tomography radiomics-based prediction of cervical nodal metastasis in patients with tongue squamous cell carcinoma
Objectives To develop and validate a logistic regression model that integrates clinical and fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT)-derived radiomic features to predict cervical lymph node metasta...
06
DOI 10.1007/s11282-026-00958-y
Open DOI
Research progress of gubernacular canal morphology and function
07
DOI 10.1007/s11282-026-00964-0
Open DOI
Minimum fascia–tumor distance as an independent predictor for deep lobe parotid tumors and postoperative facial palsy
To evaluate the clinical utility of ultrasound (US)-measured minimum fascia-tumor distance (MFTD) as a predictor of deep lobe tumor location and postoperative temporary facial nerve (FN) injury in benign parotid tumors. This retrospectiv...
08
DOI 10.1007/s11282-026-00965-z
Open DOI
Performance of generative artificial intelligence in oral and maxillofacial radiology based on the board-certification examination of Japan
Objective: To evaluate the performance and potential utility of generative artificial intelligence (AI) in oral and maxillofacial radiology using the board-certification examination administered by the Japanese Society for Oral and Maxil...
09
DOI 10.1007/s11282-026-00963-1
Open DOI
Two-stage deep learning framework for magnetic resonance imaging-based detection of temporomandibular joint osteoarthritis
Objectives Cone-beam computed tomography (CBCT) is the reference standard for detecting osseous changes in temporomandibular joint osteoarthritis (TMJ-OA) but involves ionizing radiation. MRI avoids radiation exposure and enables simulta...
10
DOI 10.1007/s11282-026-00960-4
Open DOI
Nationwide registry-based automated dose monitoring for dental CBCT: a feasibility study
Bibliographical & Catalog Notes
Description based on: Vol. 3, no. 1 (June 1987); title from cover.
Also issued online
Journal of the Japanese Society of Dental Radiology.