Retraction

Martial Arts Routine Training Method Based on Artificial Intelligence and Big Data of Lactate Measurement

Retraction Details

Nature of Retraction:

Retraction

Retraction Notice:
10.1155/2023/9762526
Additional Notes:

See also: https://pubpeer.com/publications/8F832BA248EBEC858D291961953727

Citations (7)

7
Total Citations
2
Post-Retraction
(28.6%)
4
Pre-Retraction
0
Same Day
Post-Retraction Citation Analysis
0 Within 30 days
1 Within 1 year
0 After 2+ years
705 Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Role of artificial intelligence in enhancing competency assessment and transforming curriculum in higher vocational education
Jingli Yan, Haibo Tian, Xia Sun et al. (4 authors)
Frontiers in Education Open Access
Published: Apr 2025
705 days after retraction
Analysis of the correlation between balance ability of Wushu athletes and their physical training loads
Lili Zhang
Applied Mathematics and Nonlinear Sciences Open Access
Published: Jan 2024
222 days after retraction
Retracted: Martial Arts Routine Training Method Based on Artificial Intelligence and Big Data of Lactate Measurement
Journal of Healthcare Engineering
Journal of Healthcare Engineering Open Access
Published: Jan 2023
143 days before retraction
Marketing Strategy of Rural Tourism Based on Big Data and Artificial Intelligence
Dan Xie, Yu He
Mobile Information Systems Open Access
Published: Jun 2022
39 citations
328 days before retraction
Smart Tourism Recommendation Method in Southeast Asia under Big Data and Artificial Intelligence Algorithms
Ping-Tsan Ho
Mobile Information Systems Open Access
Published: Apr 2022
6 citations
404 days before retraction
Application of Artificial Intelligence Technology in Martial Arts Education Governance
Weiwu Ye, Shihong Li, Shuaibing Liu et al. (4 authors)
Discrete Dynamics in Nature and Society Open Access
Published: Jan 2022
4 citations
508 days before retraction
Quick Stats
Total Citations: 13
Years Since Retraction: 2.5 years
Open Access: Yes
Last Checked: Jul 24, 2025
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