国际期刊：

[1] Zhihua Cui, Xu Liu, Dongmei Liu, Jianchao Zeng and Zhongzhi Shi, Using gravitropism artificial plant optimization algorithm to solve toy model of protein folding, Journal of Computational and Theoretical Nanoscience,10(6): 1540-1544. (SCI: 180NA; EI: 20132816480795)

[2] Zhihua Cui, Shujing Fan and Zhongzhi Shi, Social emotional optimization algorithm with gaussian distribution for optimal coverage problem, Sensor Letters, 2013, 11(2): 259-263. (SCI: 180NC; EI: 20133116553302)

[3] Zhihua Cui, Shujing Fan, Jianchao Zeng and Zhongzhi Shi, Artificial plant optimization algorithm with hybrid photosynthesis operator and application to wireless sensor networks, Sensor Letters, 2013, 11(2): 299-304. (SCI: 180NC; EI: 20133116553309)

[4] Zhihua Cui, Shujing Fan, Jianchao Zeng and Zhongzhi Shi, APOA with parabola model for directing orbits of chaotic systems, International Journal of Bio-inspired Computation, 2013, 5(1): 67-72. (SCI: 150DQ)

[5] Zhihua Cui, Shujing Fan, Jianchao Zeng and Zhongzhi Shi, Artificial plant optimisation algorithm with three-period photosynthesis, International Journal of Bio-inspired Computation, 2013, 5(2): 133-139. (SCI:161YQ)

[6] Zhihua Cui, Sheela Ramanna, James F. Peters and Sankar K. Pal, Cognitive informatics and computational intelligence: Theory and applications, Fundamenta Informaticae, 2013, 124(1-2): v-viii. (SCI:165RM; EI:20132716467524)

[7] Xingjuan Cai, Dongmei Liu, Lei Wang, Qi Kang and Qidi Wu, Using social emotional optimization algorithm to solve toy model of protein folding, Journal of Computational and Theoretical Nanoscience,10(6): 1545-1549. (SCI: 180NA)

[8] Xingjuan Cai, Xuexue Wu, Lei Wang, Qi Kang and Qidi Wu, Hydrophobic-polar model structure prediction with binary-coded artificial plant optimization algorithm, Journal of Computational and Theoretical Nanoscience,10(6): 1550-1554. (SCI: 180NA)

[9] Chaoli Sun, Jianchao Zeng, Jengshyang Pan, Songdong Xue and Yaochu Jin, A new fitness estimation strategy for particle swarm optimization, Information Sciences, 221, 355-370, 2013.

[10] Yongjing Ren, Chaoli Sun, Jianchao Zeng and Jengshyang Pan, GRNN-based prediction strategy for particle swarm optimization, International Journal of Advancements in Computing Technology, 5(6), 390-398, 2013.

[11] Dongmei Liu and Zhihua Cui, Protein folding structure prediction with artificial plant optimization algorithm based golden section and limited memory broyden–fletcher–goldfarb–shanno, Journal of Bionanoscience, 2013, 7(1): 114-120. (EI: 20132316401447)

[12] Zhihua Cui, A special issue on recent advances on bioinformatics, Journal of Bionanoscience, 2013, 7(1): 1-4. (EI: 20132316401429)

[13] Jun Li and Zhihua Cui, Reactive power optimisation of power system with APPM, International Journal of Computing Science and Mathematics, 2013, 4(1): 34-41. (EI: 20132716473653)

[14] Xu Liu and Zhihua Cui, Using hybrid APPM to solve Lennard-Jones Cluster Problems, International Journal of Wireless and Mobile Computing, 2013, 6(3): 236-242. (EI: 20133516664382)

[15] Gangjun Yang, Liping Xie, Ying Tan and Zhihua Cui, Artificial physics optimisation algorithm guided by diversity, International Journal of Computer Applications in Technology, 2013, 46(4): 369-375. (EI: 20131816288752)

[16] Liping Xie, Ying Tan, Jianchao Zeng and Zhihua Cui, The selection strategy of mass functions in artificial physics optimisation algorithm, International Journal of Modelling, Identification and Control, 2013, 18(3): 226-233. (EI: 20131416180759)

[17] Liping Xie, Gangjun Yang, Jianchao Zeng and Zhihua Cui, Swarm robots search based on artificial physics optimisation algorithm, International Journal of Computing Science and Mathematics, 2013, 4(1): 62-71. (EI: 20132716473649)

国内期刊：

国际会议：

[1] Chaoli Sun, Jianchao Zeng, Jengshyang Pan and Yaochu Jin, Similarity-based evolution control for fitness estimation in particle swarm optimization, 2013 IEEE Symposium Series on Computational Intelligence in Dynamic and Uncertain Environment (CIDUE), 2013.4.16-19, 1-8, Singapore, 2013.

[2] Ran Cheng, Chaoli Sun and Yaochu Jin, A multi-swarm evolutionary framework based on a feedback mechanism, 2013 IEEE Congress on Evolutionary Computation (CEC), 2013, 718-724, Cancún, México, 2013.