'''Yeheidie'erding (, ? – 1312), also known as Amir al-Din' (, Amīr al-Dīn''), was a Muslim architect who helped design and led the construction of the capital of the Yuan dynasty, Khanbaliq, located in present-day Beijing, the current capital of the People's Republic of China. According to Cary Y. Liu interpretation of the Ma-ho-ma-sha Stele inscription, either Amir al-Din's ancestors came from the Western Regions, although originating from Arabia, or that he directly came from Arabia.
5 total works indexed
· 1994 · cited 2,963x
· 1996 · cited 1,712x
· 1996 · cited 890x
· 1995 · cited 438x
· 1995 · cited 381x
via Crossref · CC0
'''Yeheidie'erding (, ? – 1312), also known as Amir al-Din' (, Amīr al-Dīn''), was a Muslim architect who helped design and led the construction of the capital of the Yuan dynasty, Khanbaliq, located in present-day Beijing, the current capital of the People's Republic of China. According to Cary Y. Liu interpretation of the Ma-ho-ma-sha Stele inscription, either Amir al-Din's ancestors came from the Western Regions, although originating from Arabia, or that he directly came from Arabia.
==Construction of Khanbaliq== Yeheidie'erding learned from Han architecture. In 1264, in preparation to establish the Yuan dynasty, Kublai Khan decided to rebuild the city which was then known as Zhongdu (中都, "central capital", pinyin: Zhōngdū) as his new capital. Liu Bingzhong was the planner and the original architect and was appointed as the supervisor of its construction, while Yeheidie'erding help designed and led the construction. The construction of the walls of the city began in the same year, while the imperial palace was built from 1274 onwards. The design of the city followed the Confucianism classic Zhouli (周禮, "rites of Zhou"), in that the rules of “9 vertical axis, 9 horizontal axis”, “palaces in the front, markets in the rear”, “left ancestral worship, right god worship” were taken into consideration. It was broad in scale, strict in planning and execution, complete in equipment.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).