Retraction
Model for Evaluating the Technical and Tactical Effectiveness of Tennis Matches Based on Machine Learning
Paper Information
Record ID:
60315
Author(s):
Journal:
Publication Date:
September 23, 2022
Retraction Date:
October 18, 2023
(2.1 years years ago)
Subjects:
Country:
🇨🇳 ChinaArticle Type:
Publisher:
Hindawi
Open Access:
Yes
DOI:
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed
Retraction Details
Retraction Reasons:
- Concerns/Issues About Data
- Concerns/Issues about Results and/or Conclusions
- Concerns/Issues about Referencing/Attributions
- Concerns/Issues with Peer Review
- Investigation by Journal/Publisher
- Investigation by Third Party
- Paper Mill
- Computer-Aided Content or Computer-Generated Content
- Unreliable Results and/or Conclusions
Nature of Retraction:
Retraction
Retraction Notice:
10.1155/2023/9853863Citations (5)
5
Total Citations3
Post-Retraction(60.0%)
0
Pre-Retraction1
Same DayPost-Retraction Citation Analysis
0
Within 30 days
3
Within 1 year
0
After 2+ years
238
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
A Study of the Impact of Tennis Momentum Based on Markov and Decision Tree Models
Yitian Cai, Liyuan Yu, Yuchang Ji et al. (5 authors)
Unknown Journal
Published: Jun 2024
238 days after retraction
Exploring the Relationship Between Key Factors and Victory and Defeat in Volleyball Matches using Bayesian Network Modeling
Yang Ge
Deleted Journal
Open Access
Published: Apr 2024
194 days after retraction
Tactical Intelligent Decision Modelling in Sports Competitions Based on Reinforcement Learning Algorithms
Chong Xu
Deleted Journal
Open Access
Published: Apr 2024
194 days after retraction
Retracted: Model for Evaluating the Technical and Tactical Effectiveness of Tennis Matches Based on Machine Learning
Mobile Information Systems
Mobile Information Systems
Open Access
Published: Oct 2023
Same day as retraction
Quick Stats
Total Citations:
8
Years Since Retraction:
2.1 years
Open Access:
Yes
Last Checked:
Jul 24, 2025