The potential mass markers of Eucommia ulmoides were predicted by establishing an HPLC fingerprint analysis method for different parts of E. ulmoides combined with network pharmacology.Based on the theoretical basis of traditional Chinese medicine (TCM) quality markers (Q-Marker) combined with fingerprint mapping and network pharmacology for primary prediction analysis of Q-Marker of E. ulmoides, 63 batches of samples from different parts of E. ulmoides were evaluated for similarity,along with principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA),respectively;Through network pharmacology to screen the targets and pathways of related ingredients in E. ulmoides,a ‘ingredient target pathway’ network diagram was constructed to predict Q-Marker in E. ulmoides. In this study, we established 63 batches of fingerprints from different parts of E. ulmoides with similarity scores greater than 0.900,which were screened to obtain eight compounds and 173 targets,including 11 core targets including PIK3R1,HRAS,AKT1,EGFR,SRC,and other major pathways involved in ammonia metabolism,cancer pathways,lipids and atherosclerosis,cancer proteoglycans,PI3K Akt signaling pathway,and ovarian steroidogenesis,and constructed component target pathway maps.Chlorogenic acid,rutin and geniposide were predicted to be potential Q-Marker for E. ulmoides leaves,aucubin,geniposidic acid and pinoresinol diglucoside were predicted to be potential Q-Marker for E. ulmoides bark,geniposidic acid,geniposide and aucubin were predicted to be potential Q-Marker for E. ulmoides male flower,chlorogenic acid,geniposidic acid,aucubin were identified as potential Q-Marker for E. ulmoides pods.