Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Classification of teeth in cone-beam CT using deep convolutional neural network
2016241 citationsChisako Muramatsu, Tatsuro Hayashi et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Xiangrong Zhou
Since
Specialization
Citations
This map shows the geographic impact of Xiangrong Zhou'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 Xiangrong Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangrong Zhou more than expected).
This network shows the impact of papers produced by Xiangrong Zhou. 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 Xiangrong Zhou. The network helps show where Xiangrong Zhou may publish in the future.
Co-authorship network of co-authors of Xiangrong Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Xiangrong Zhou.
A scholar is included among the top collaborators of Xiangrong Zhou 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 Xiangrong Zhou. Xiangrong Zhou is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhou, Xiangrong, et al.. (2013). Automatic organ localizations on 3D CT images by using majority- voting of multiple 2D detections based on local binary patterns and Haar-like features. Proceedings of SPIE - The International Society for Optical Engineering. 8670.2 indexed citations
8.
Zhou, Xiangrong, et al.. (2012). Improvement of MDL Method by Adaptive Sampling on Spherical Parameter Space. IEICE Technical Report; IEICE Tech. Rep.. 111(389). 173–178.1 indexed citations
9.
Matsumoto, Takuya, Tatsuro Hayashi, Takeshi Hara, et al.. (2011). Automatic method for measuring mandibular cortical thickness by using active contour model on dental panoramic radiographs. IEICE Technical Report; IEICE Tech. Rep.. 111(127). 1–5.1 indexed citations
10.
Hatanaka, Yuji, et al.. (2010). Automated detection and classification of major arteries and veins for arteriolar narrowing analysis on retinal fundus images. IEICE Technical Report; IEICE Tech. Rep.. 109(407). 189–193.1 indexed citations
11.
Hayashi, Tatsuro, Takeshi Hara, Akitoshi Katsumata, et al.. (2010). A method to detect calcified region using grayscale top-hat filter on dental panoramic radiographs. IEICE Technical Report; IEICE Tech. Rep.. 109(407). 337–340.1 indexed citations
12.
Hayashi, Tatsuro, Xiangrong Zhou, Takeshi Hara, et al.. (2009). A semi-automatic approach for evaluating thoracic kyphosis and lumbar lordosis on X-ray CT images. IEICE Technical Report; IEICE Tech. Rep.. 108(385). 97–100.1 indexed citations
13.
Zhou, Xiangrong, Takeshi Hara, Hiroshi Fujita, et al.. (2009). Initial Examination of Automatic Calculation Method of Non-rigid Deformity of the Liver in MR Tagging Images. IEICE technical report. Speech. 109(65). 213–218.1 indexed citations
14.
Hara, Takeshi, et al.. (2008). Automated scoring and temporal subtraction system on FDG-PET images. IEICE technical report. Speech. 108(131). 15–18.3 indexed citations
15.
Lee, Gobert, Masayuki Kanematsu, Hiroki Kato, et al.. (2008). K-means clustering and classification of medical images based on regions-of-interest. IEICE technical report. Speech. 107(461). 55–56.1 indexed citations
Hara, Takeshi, et al.. (2007). Automated detection of chest nodules in 3D chest CT scans by using 2nd-order autocorrelation features. IEICE Technical Report; IEICE Tech. Rep.. 106(509). 71–72.
Kobayashi, S., Xiangrong Zhou, Takeshi Hara, et al.. (2002). Extraction of Thoracic Cage Based on Bone Structure from 3D Chest CT Images. IEICE technical report. Speech. 102(299). 35–39.1 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.