This systematic review of science mapping literature, authored by Dr. Chaomei Chen, explores the evolution of science mapping as a method for analyzing and visualizing scientific domains. The study aims to demonstrate the application of science mapping techniques to conduct a systematic review and to identify key research areas, milestones, and transitions within the field. The review is based on a comprehensive dataset of 17,731 bibliographic records retrieved from the Web of Science, covering publications from 1980 to 2017. The dataset was analyzed using CiteSpace, a visual analytics software that helps identify patterns, trends, and structural relationships in scientific literature. The review outlines four major stages of scientific development: conceptualization, tool construction, application, and codification. These stages are used to analyze the evolution of science mapping and its related specialties. The study identifies several key specialties, including science mapping, domain analysis, research evaluation, and information visualization. Each specialty is analyzed in terms of its intellectual base, research fronts, and the evolution of its methodologies and tools. The review highlights the importance of citation analysis in understanding the development of scientific fields. It identifies major milestones in science mapping, such as the introduction of the h-index and the development of visualization techniques. The study also discusses the role of computational and visual analytic methods in identifying emerging trends and transformative changes in science and technology. The review emphasizes the need for a systematic approach to science mapping, which involves the use of bibliometric and visual analytic techniques to analyze the structure and dynamics of scientific domains. It also discusses the practical implications of science mapping, including its applications in bibliometric mapping, knowledge domain visualization, and the visualization of scientific literature. The study concludes that science mapping is a valuable tool for understanding the evolution of scientific fields and for identifying key research areas and trends. It provides a systematic methodology for researchers to gain insights into the development of scientific disciplines and to synthesize information to capture the state of the art in a particular domain. The review also highlights the importance of interdisciplinary collaboration and the need for researchers to develop a diverse set of skills and knowledge to effectively apply science mapping techniques.This systematic review of science mapping literature, authored by Dr. Chaomei Chen, explores the evolution of science mapping as a method for analyzing and visualizing scientific domains. The study aims to demonstrate the application of science mapping techniques to conduct a systematic review and to identify key research areas, milestones, and transitions within the field. The review is based on a comprehensive dataset of 17,731 bibliographic records retrieved from the Web of Science, covering publications from 1980 to 2017. The dataset was analyzed using CiteSpace, a visual analytics software that helps identify patterns, trends, and structural relationships in scientific literature. The review outlines four major stages of scientific development: conceptualization, tool construction, application, and codification. These stages are used to analyze the evolution of science mapping and its related specialties. The study identifies several key specialties, including science mapping, domain analysis, research evaluation, and information visualization. Each specialty is analyzed in terms of its intellectual base, research fronts, and the evolution of its methodologies and tools. The review highlights the importance of citation analysis in understanding the development of scientific fields. It identifies major milestones in science mapping, such as the introduction of the h-index and the development of visualization techniques. The study also discusses the role of computational and visual analytic methods in identifying emerging trends and transformative changes in science and technology. The review emphasizes the need for a systematic approach to science mapping, which involves the use of bibliometric and visual analytic techniques to analyze the structure and dynamics of scientific domains. It also discusses the practical implications of science mapping, including its applications in bibliometric mapping, knowledge domain visualization, and the visualization of scientific literature. The study concludes that science mapping is a valuable tool for understanding the evolution of scientific fields and for identifying key research areas and trends. It provides a systematic methodology for researchers to gain insights into the development of scientific disciplines and to synthesize information to capture the state of the art in a particular domain. The review also highlights the importance of interdisciplinary collaboration and the need for researchers to develop a diverse set of skills and knowledge to effectively apply science mapping techniques.