Wang, Zhongyi, Wang, Na, Zhang, Haoxuan, Wang, Zeren, Wang, Zhou, Ding, Junhua, and Chen, Haihua. IBID-CCT: A novel model for interdisciplinary breakthrough innovation detection based on the cusp catastrophe theory. Retrieved from https://par.nsf.gov/biblio/10650161. Information Processing & Management 62.4 Web. doi:10.1016/j.ipm.2025.104121.

Wang, Zhongyi, Wang, Na, Zhang, Haoxuan, Wang, Zeren, Wang, Zhou, Ding, Junhua, & Chen, Haihua. IBID-CCT: A novel model for interdisciplinary breakthrough innovation detection based on the cusp catastrophe theory. Information Processing & Management, 62 (4). Retrieved from https://par.nsf.gov/biblio/10650161. https://doi.org/10.1016/j.ipm.2025.104121

Wang, Zhongyi, Wang, Na, Zhang, Haoxuan, Wang, Zeren, Wang, Zhou, Ding, Junhua, and Chen, Haihua. "IBID-CCT: A novel model for interdisciplinary breakthrough innovation detection based on the cusp catastrophe theory". Information Processing & Management 62 (4). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.ipm.2025.104121. https://par.nsf.gov/biblio/10650161.

@article{osti_10650161,
place = {Country unknown/Code not available}, title = {IBID-CCT: A novel model for interdisciplinary breakthrough innovation detection based on the cusp catastrophe theory}, url = {https://par.nsf.gov/biblio/10650161}, DOI = {10.1016/j.ipm.2025.104121}, abstractNote = {Not Available}, journal = {Information Processing & Management}, volume = {62}, number = {4}, publisher = {Elsevier}, author = {Wang, Zhongyi and Wang, Na and Zhang, Haoxuan and Wang, Zeren and Wang, Zhou and Ding, Junhua and Chen, Haihua}, }