Abstract: Copper is a strategic mineral resource with a high external dependency in China, and its stable supply is crucial to national resource security. As one of the major sources of global copper resources, porphyry copper mines have significant metallogenic potential and exploration value in Xinjiang, China. Based on research literature on porphyry copper mines in Xinjiang which is published in 2000—2025 and indexed in the Web of Science （WoS） database, this study employed CiteSpace, GIS, and other software to conduct bibliometric and knowledge graph analyses, systematically reviewing international research progress, collaboration networks, hot topics, and development trends in this field. The results show that China dominates research in this field, with publications accounting for 76.3 % of the total, and has formed a close-knit institutional collaboration network centered on the Chinese Academy of Sciences. At the international level, research teams represented by Shen Ping constitute a key academic network. Keyword co-occurrence and clustering analyses identify 10 major research directions, among which "West Junggar", "East Tianshan", "geochemistry", and "fluid inclusions" have long been research foci, while "tectonic evolution", "multivariate big data", and "thermal history modeling" have emerged as frontier hot topics in recent years. Visualization methods reveal the evolutionary pathway of research on porphyry copper mines in Xinjiang, which has gradually shifted from early regional geological background exploration toward microscopic mechanisms of mineralization processes and intelligent prospecting prediction methods integrating multi-source data. The findings of this study can provide theoretical basis and literature support for deep exploration, target area optimization, and technical method integration for porphyry copper mines in Xinjiang, facilitating systematic and intelligent prospecting prediction.