ArticlePeerJ2021
The kinematic analysis of the lower limb during topspin forehand loop between different level table tennis athletes.
Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Effects of exercise training on physical fitness of youth table tennis players: a systematic review.Frontiers in physiology · 2026Pooled it
- Ankle proprioception during lateral cutting and stroke performance in adolescent table tennis players.Frontiers in bioengineering and biotechnology · 2026Article
- Effects of 8-week polarized vs. threshold training on cardiorespiratory fitness, post-exercise heart-rate recovery, and target accuracy under fatigue in table tennis players.Frontiers in physiology · 2026Article
- Multi-objective optimization of table tennis serve kinematic parameters using an improved particle swarm optimization algorithm.Frontiers in physiology · 2026Article
- Chasse-Step and One-Step Footwork Reported Different Biomechanical Profiles in Elite Table Tennis Athletes.Journal of sports science & medicine · 2025Article
- Kinematics of Topspin Stroke Combinations in Table Tennis and its Inter-Individual Variability.Journal of sports science & medicine · 2025Review
- Impacts of Racket Handle Design on Table Tennis Topspin Forehand Rally Performance Among Beginner Players.Sports (Basel, Switzerland) · 2025Article
- Development of a MediaPipe-based framework for biomechanical quantification of table tennis forehand strokes.Frontiers in sports and active living · 2025Article
- Effects of Fatigue on Ankle Flexor Activity and Ground Reaction Forces in Elite Table Tennis Players.Sensors (Basel, Switzerland) · 2024Article
- Biomechanics of Topspin Forehand Loop in Table Tennis: An Application of OpenSim Musculoskeletal Modelling.Healthcare (Basel, Switzerland) · 2023Article
- Lumbar and pelvis movement comparison between cross-court and long-line topspin forehand in table tennis: based on musculoskeletal model.Frontiers in bioengineering and biotechnology · 2023Article
- Lower Limb Biomechanics during the Topspin Forehand in Table Tennis: A Systemic Review.Bioengineering (Basel, Switzerland) · 2022Review
- Physical Fitness Profiling of National Category Table Tennis Players: Implication for Health and Performance.International journal of environmental research and public health · 2021Article
- Gender Differences in Kinematic Analysis of the Lower Limbs during the Chasse Step in Table Tennis Athletes.Healthcare (Basel, Switzerland) · 2021Article
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Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTopspin is one of the most attacking stroke in table tennis sport. The aim of this research was to investigate the kinematic characteristics of the lower limb (driving leg) during topspin forehand loop in different playing level table tennis athletes.
methodsTen male table tennis athletes performed topspin forehand loop shots with maximal force to hit the ball that was played by a professional table tennis coach. The three-dimensional Vicon motion analysis system was used to capture the kinematic information.
resultsThe key findings from this research indicate that there were no significant differences in motion time between elite athletes (EA) and medium athletes (MA) during the entire phase (
conclusionAnkle activities in the all plane displayed significant differences in kinematic characteristics between EA and MA. MA should pay attention to the function that ankle played in the kinetic chain, such as training the lower limb muscle rapid reaction ability to improve the energy transfer efficiency and capability of the kinetic chain.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.