Abstract: Objective To analyze the clinical acupoint selection rule and characteristics of acupuncture for smoking cessation based on data mining technology. Methods The literature on acupuncture for smoking cessation collected and published by CNKI，Wanfang and VIP database from the establishment of the database until July 1，2020 were retrieved，and the acupoint information of acupuncture prescription was collected. TCMISS V2.5 was used to analyze the data. Results A total of 36 articles were collected，including 37 acupuncture prescriptions and involving 40 acupoints，which mainly belonged to the stomach meridian and the large intestine meridian. Among them，there were 10 acupoints with a frequency of ≥ 5 times. The top 5 acupoints were 21 times of Zusanli（ST36），17 times of Hegu（LI4），17 times of Baihui（GV20），16 times of Sweet acupoints and 12 times of Shenmen（HT7）. There were 17 commonly used acupoint combinations with a frequency of ≥ 6. The top 5 acupoint combinations were Shenmen （HT7） -Sweet acupoint， Zusanli （ST36）-Sanyinjiao （SP6），Zusanli （ST36）-Sweet acupoint，Hegu （LI4）-Baihui （GV20），and Zusanli （ST36）-Hegu （LI4）. Six acupoint combinations and three new acupoint prescriptions were obtained based on the entropy clustering algorithm. Conclusion The main meridians of acupuncture for smoking cessation are stomach meridian， large intestine meridian and Du-meridian. The acupoints are based on Zusanli（ST36），Sweet acupoints and Shenmen（HT7）. The use of specific acupoints mainly focuses on intersection acupoints，Wushu acupoints and original acupoints，paying attention to the use of Sweet acupoints with experience.

Key words: acupuncture, smoking cessation, rules of acupoint selection, traditional Chinese medicine inheritance support system