Research status and trends of deep learning in colorectal cancer (2011-2023): Bibliometric analysis and visualization

doi:10.4251/wjgo.v17.i5.103667

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 17, Issue 5

This Article

Academic Content and Language Evaluation of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Number of Hits and Downloads for This Article

Total Article Views (0)

All Articles published online

The chart showing PDF series, HTML series, Figures (1-8) series, Tables (1-7) series.

Item

Count

PDF

HTML

Figures (1-8)

Tables (1-7)

Sum=0

May 15, 2025 (publication date) through May 15, 2025

Times Cited of This Article

Times Cited (0)

Journal Information of This Article

Publication Name

World Journal of Gastrointestinal Oncology

ISSN

1948-5204

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Scientometrics

World J Gastrointest Oncol. May 15, 2025; 17(5): 103667
Published online May 15, 2025. doi: 10.4251/wjgo.v17.i5.103667

Full Size Figure Download Figure

Figure 8 Analysis of keywords. A: Keyword co-occurrence chart; B: Keyword clustering chart; C: Keyword timeline chart; D: Top 25 keywords with the highest citation explosion rates.

Citation: Qi LY, Li BW, Chen JQ, Bian HP, Xue JN, Zhao HX. Research status and trends of deep learning in colorectal cancer (2011-2023): Bibliometric analysis and visualization. World J Gastrointest Oncol 2025; 17(5): 103667
URL: https://www.wjgnet.com/1948-5204/full/v17/i5/103667.htm
DOI: https://dx.doi.org/10.4251/wjgo.v17.i5.103667