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Eric Zhong
주역 학습 편집 책임자
Eric Zhong 은 원전에 기반한 괘 학습 구성, 다국어 편집, 현대 독자를 위한 해설 구조를 맡고 있습니다.
연구 분야
주역 학습 콘텐츠 편집현대 독자를 위한 괘 해설 구조 설계다국어 교육형 콘텐츠 정리
I Ching Wisdom
편집진
주역 학습은 역학·철학·동아시아 연구 학술 배경을 가진 편집진이 운영합니다. 각 편집자는 전용 저자 페이지를 통해 학술 이력과 연구 분야를 공개합니다.
저자 페이지 보기
Huang Junjie
Professor of Philosophy, National Taiwan University
National Taiwan University
Huang Junjie is a Professor of Philosophy at National Taiwan University and Team Lead at the International I Ching Research Center. His work bridges pre-Qin Confucian philosophy with comparative Yijing studies, examining how the Zhouyi shaped Confucian ethical thought and practical wisdom.
연구 분야
Comparative Yijing studies and cross-cultural interpretationPractical application of hexagram wisdom to modern ethical questionsConfucian philosophy and its intersection with the Book of Changes
Zhang Shanwen
Associate Professor of Philosophy, National Taiwan University
National Taiwan University
Zhang Shanwen is an Associate Professor at National Taiwan University specializing in Yijing textual criticism and the comparative study of excavated manuscripts. His philological expertise grounds I Ching Wisdom's content in the most reliable textual foundations.
연구 분야
Yijing textual criticism and manuscript collationComparative analysis of excavated silk and bamboo Zhouyi manuscriptsHexagram structure and trigram composition methodology
Li Shujuan
Associate Professor of Philosophy, National Taiwan University
National Taiwan University
Li Shujuan is an Associate Professor at National Taiwan University specializing in Song dynasty Yijing studies and Neo-Confucian thought. Her research on the interpretive traditions of Cheng Yi and Zhu Xi brings historical depth to modern I Ching reading.
연구 분야
Song dynasty Yijing scholarship and Neo-Confucian philosophyHistorical development of hexagram interpretation methodsComparative study of Cheng Yi and Zhu Xi's Yijing commentaries
Wang Dong
Associate Professor, International I Ching Research Center
International I Ching Research Center
Wang Dong is an Associate Professor at the International I Ching Research Center whose research explores the deep connections between the Zhouyi's image-number system and ancient Chinese science — astronomy, calendrical science, and mathematics.
연구 분야
Image-number (xiangshu) Yijing studies and scientific thoughtAncient Chinese astronomy, calendrical systems, and natural philosophyEast-West comparative perspectives on the Zhouyi and science
Chen Xi
Lecturer, International I Ching Research Center
International I Ching Research Center
Chen Xi is a Lecturer at the International I Ching Research Center specializing in Han dynasty image-number (xiangshu) Yijing studies. Her expertise in the early technical traditions of hexagram interpretation illuminates the roots of changing-line theory.
연구 분야
Han dynasty image-number Yijing systems and prognosticationChanging-line (moving line) theory and interpretation methodsJing Fang and Meng Xi Yijing scholarship
Liu Xiaofeng
Associate Professor, International I Ching Research Center
International I Ching Research Center
Liu Xiaofeng is an Associate Professor at the International I Ching Research Center specializing in Yijing aesthetics and literary theory. His work explores how the Zhouyi shaped the deepest categories of Chinese aesthetic thought — image-idea, balanced harmony, and the rhythm of firmness and yielding.
연구 분야
Yijing aesthetics and the philosophy of artLiterary and cultural interpretation of hexagram imageryComparative study of divination systems as cultural forms
Yang Ming
Postdoctoral Researcher, International I Ching Research Center
International I Ching Research Center
Yang Ming is a Postdoctoral Researcher at the International I Ching Research Center, working at the intersection of digital humanities and Yijing studies. He applies computational methods to the Zhouyi text while contributing to the platform's digital content strategy.
연구 분야
Digital humanities and computational approaches to Yijing text analysisModern digital reading experiences and app-based I Ching practiceData-driven content optimization for learning platforms