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For: Hwang YC, Lee IS, Ryu Y, Lee MS, Chae Y. Exploring traditional acupuncture point selection patterns for pain control: data mining of randomised controlled clinical trials. Acupunct Med 2020;:964528420926173. [PMID: 32567332 DOI: 10.1177/0964528420926173] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Lee S, Lee I, Chae Y. Similarities between Ashi acupoints and myofascial trigger points: Exploring the relationship between body surface treatment points. Front Neurosci 2022;16. [DOI: 10.3389/fnins.2022.947884] [Reference Citation Analysis]
2 Lee H, Choi Y, Son B, Lim J, Lee S, Kang JW, Kim KH, Kim EJ, Yang C, Lee J. Deep autoencoder-powered pattern identification of sleep disturbance using multi-site cross-sectional survey data. Front Med 2022;9. [DOI: 10.3389/fmed.2022.950327] [Reference Citation Analysis]
3 Liu W, Wang CC, Lee KH, Ma X, Kang TL. Efficacy and Safety of Acupuncture and or Moxibustion for Managing Primary Dysmenorrhea: A Systematic Review and Meta-Analysis. Clin Nurs Res 2022;:10547738221086984. [PMID: 35499150 DOI: 10.1177/10547738221086984] [Reference Citation Analysis]
4 Lee S, Ryu Y, Park HJ, Lee IS, Chae Y. Characteristics of five-phase acupoints from data mining of randomized controlled clinical trials followed by multidimensional scaling. Integr Med Res 2022;11:100829. [PMID: 35024336 DOI: 10.1016/j.imr.2021.100829] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
5 Dilts JJ, Esparham AE, Boorigie ME, Connelly M, Bickel J. Development and Assessment of an Abbreviated Acupuncture Curriculum for Pediatricians. Acad Pediatr 2022;22:160-5. [PMID: 34425264 DOI: 10.1016/j.acap.2021.08.011] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Chae YB. Suggestions for the Study of Acupoint Indications in the Era of Artificial Intelligence. kjopp 2021;35:132-138. [DOI: 10.15188/kjopp.2021.10.35.5.132] [Reference Citation Analysis]
7 Choi D, Lee S, Lee I, Ryu Y, Chae Y. Characteristics of Source Acupoints: Data Mining of Clinical Trials Database. Korean J Acupunct 2021;38:100-109. [DOI: 10.14406/acu.2021.007] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
8 Lu L, Wen Q, Hao X, Zheng Q, Li Y, Li N. Acupoints for Tension-Type Headache: A Literature Study Based on Data Mining Technology. Evid Based Complement Alternat Med 2021;2021:5567697. [PMID: 33777156 DOI: 10.1155/2021/5567697] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 4.5] [Reference Citation Analysis]
9 Lee I, Ryu Y, Chae Y. The Principle of Acupoint Selection Based on Branch and Root Treatment. Korean J Acupunct 2020;37:203-208. [DOI: 10.14406/acu.2020.015] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
10 Hwang YC, Lee IS, Ryu Y, Lee YS, Chae Y. Identification of Acupoint Indication from Reverse Inference: Data Mining of Randomized Controlled Clinical Trials. J Clin Med 2020;9:E3027. [PMID: 32962229 DOI: 10.3390/jcm9093027] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 3.0] [Reference Citation Analysis]