1.XiaXia and Qingchen Zhang*, “An Edge-cloud-aided Incremental Tensor-based Fuzzy C-means Approach with Big Data Fusion for Exploring Smart Data,” Information Fusion, 2021, 76: 168-174.

2. Hang Yu, Laurence T. Yang, Xiangchao Fan, and Qingchen Zhang*, “A deep Residual Computation Model for Heterogeneous Data Learning in Smart Internet of Things,” Applied Soft Computing, 2021, 107: 107361.

3. Hang Yu, Laurence T. Yang, Qingchen Zhang*, David Armstrong, and M. Jamal Deen, “Convolutional Neural Networks for Medical Image Analysis: State-of-the-art, Comparisons, Improvement and Perspectives,” Neurocomputing, 2021, 444: 92-110.

4. Fanyu Bu, Chengsheng Hu, Qingchen Zhang*, Changchuan Bai, Laurence T. Yang, and Thar Bake, “A Cloud-Edge-aided Incremental High-order Possibilistic c-Means Algorithm for Medical Data Clustering,” IEEE Transactions on Fuzzy Systems, 2021, 29(1): 148-155. (SCI，IF=9.518,中科院大类一区，CCF/B)

5. Qingchen Zhang, Changchuan Bai, Zhikui Chen*, Peng Li*, Hang Yu, Shuo Wang, and He Gao, “Deep Learning Models for Diagnosing Spleen and Stomach Diseases in Smart Chinese Medicine with Cloud Computing,” 2021, 33(7): 1-1. (SCI，CCF/C，高被引)

6. Qingchen Zhang, Changchuan Bai, Laurence T Yang, Zhikui Chen, Peng Li, and Hang Yu, “A Unified Smart Chinese Medicine Framework for Healthcare and Medical Services,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021, 18(3): 882-890.（SCI，CCF/B）

7. Qingchen Zhang, Changchuan Bai, Zhuo Liu, Laurence T. Yang, Hang Yu, Jingyuan Zhao, and Hong Yuan,“A GPU-based Residual Network for Medical Image Classification in Smart Medicine,”Information Sciences, 2020, 536: 91-100. (SCI，IF=5.91，中科院大类二区，CCF/B)

8. Qingchen Zhang, Laurence T. Yang*, Zhikui Chen, and Peng Li,“Incremental Deep Computation Model for Wireless Big Data Feature Learning,”IEEE Transactions on Big Data, 2020, 6(2): 248-257. (EI，CCF/C)

9. Qingchen Zhang*, Changchuan Bai, Zhikui Chen, Peng Li, Shuo Wang, and He Gao,“Smart Chinese Medicine for Hypertension Treatment with a Deep Learning Model,”Journal of Network and Computer Applications, 2019, 129:1-8. (SCI，IF=5.57，中科院大类二区, CCF/C)

10. Qingchen Zhang, Min Lin, Laurence T. Yang*, Zhikui Chen, Samee U. Khan, and Peng Li,“A Double Deep Q-learning Model for Energy-efficient Edge Scheduling,”IEEE Transactions on Services Computing, 2019, 12(5): 739-749. (SCI，IF=5.832,中科院大类二区，高被引论文，CCF/B)

11. Qingchen Zhang, Man Lin, Laurence T. Yang*, Zhikui Chen, and Peng Li, “Energy-Efficient Scheduling for Real-Time Systems Based on Deep Q-Learning Model,” IEEE Transactions on Sustainable Computing, 2019, 4(1): 132-141. (EI)

12. Qingchen Zhang, Laurence T. Yang*, Zhikui Chen, and Peng Li,“Secure Weighted Possibilistic c-Means Algorithm on Cloud for Clustering Big Data,”Information Sciences, 2019, 479: 515-525. (SCI，IF=5.91，中科院大类二区，CCF/B)

13. Qingchen Zhang, Laurence T. Yang*, Zhikui Chen, Peng Li, and Fanyu Bu, “An Adaptive Dropout Deep Computation Model for Industrial IoT Big Data Learning with Crowdsourcing to Cloud Computing,” IEEE Transactions on Industrial Informatics, 2019, 15(4): 2330-2337. (SCI，IF=9.112，中科院大类一区，高被引论文)

14. Qingchen Zhang, Laurence T. Yang*, Zheng Yan, Zhikui Chen, and Peng Li,“An Efficient Deep Learning Model to Predict Cloud Workload for Industry Informatics,”IEEE Transactions on Industrial Informatics, 2018, 14(7): 3170-3178. (SCI，IF=9.112，中科院大类一区)

15. Qingchen Zhang, Laurence T. Yang*, Zhikui Chen, and Peng Li,“A Tensor-Train Deep Computation Model for Industry Informatics Big Data Feature Learning,”IEEE Transactions on Industrial Informatics, 2018, 14(7): 3197-3204. (SCI，IF=9.112，中科院大类一区)

16. Qingchen Zhang, Laurence T. Yang*, Zhikui Chen, and Peng Li,“A Dropconnect Deep Computation Model for Highly Heterogeneous Data Feature Learning in Mobile Sensing Network,”IEEE Network Magazine, 2018, 32(4): 22-27. (SCI，IF=8.808，中科院大类一区)

17. Qingchen Zhang, Laurence T. Yang*, Zhikui Chen, and Peng Li,“An Improved Deep Computation Model Based on Canonical Polyadic Decomposition,”IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018, 48(10): 1657-1666. (SCI，IF=9.309，中科院大类一区，热点论文/高被引论文)

18. Qingchen Zhang, Laurence T. Yang*, Zhikui Chen, Peng Li, and M. J. Deen,“Privacy-preserving Double-Projection Deep Computation Model with Crowdsourcing on Cloud for Big Data Feature Learning,”IEEE Internet of Things Journal, 2018, 5(4): 2896-2903. (SCI，IF=9.936，中科院大类一区，高被引论文)

19. Qingchen Zhang, Laurence T. Yang*, Zhikui Chen, and Peng Li, “Dependable Deep Computation Model for Feature Learning on Big Data in Cyber-Physical Systems,” ACM Transactions on Cyber-Physical Systems, 2018, 3(1): 11:1-11:17. (EI)

20. Qingchen Zhang, Laurence T. Yang*, Zhikui Chen, and Peng Li,“A Survey on Deep Learning for Big Data,”Information Fusion, 2018, 42: 146-157. (SCI，IF=13.669，中科院大类一区，热点论文/高被引论文)

21.Qingchen Zhang, Laurence T. Yang*, Zhikui Chen, and Peng Li,“High-order Possibilistic c-Means Algorithms Based on Tensor Decompositions for Big Data in IoT,”Information Fusion, 2018, 39: 72-80. (SCI，IF=13.669，中科院大类一区，热点论文/高被引论文)

22.Qingchen Zhang, Chunsheng Zhu, Laurence T. Yang*, Zhikui Chen, Liang Zhao…,“An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things,”IEEE Transactions on Industrial Informatics, 2017, 13(3): 1193-1201. (SCI，IF=9.112，中科院大类一区，热点论文/高被引论文, IEEE TCCPS最有影响力论文奖)

23.Qingchen Zhang, Laurence T. Yang*, Zhikui Chen, and Feng Xia,“A High-order Possibilistic C-means Algorithm for Clustering Incomplete Multimedia Data,”IEEE Systems Journal, 2017, 11(4): 2160-2169. (SCI，IF=3.987，中科院大类二区)

24.Qingchen Zhang, Laurence T. Yang*, Xingang Liu, Zhikui Chen, and Peng Li,“A Tucker Deep Computation Model for Mobile Multimedia Feature Learning,”ACM Transactions on Multimedia Computing, Communications and Applications, 2017, 13(3s): 39:1-39:18. (SCI，IF=3.275，中科院大类三区，高被引论文，CCF/B)

25. Qingchen Zhang, Laurence T. Yang*, Zhikui Chen, and Peng Li;“PPHOPCM: Privacy-preserving High-order Possibilistic c-Means Algorithm for Heterogeneous Data Fuzzy Clustering,”IEEE Transactions on Big Data, 2017, DOI: 10.1109/TBDATA.2017.2701816. (EI，CCF/C)

26.Qingchen Zhang, Laurence T. Yang*, and Zhikui Chen,“Deep Computation Model for Unsupervised Feature Learning on Big Data,”IEEE Transactions on Services Computing, 2016, 9(1): 161-171.(SCI，IF=5.823，中科院大类二区，CCF/B，IEEE TCSTC最有影响力论文奖)

27.Qingchen Zhang, Laurence T. Yang*, and Zhikui Chen,“Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning,”IEEE Transactions on Computers, 2016, 65(5): 1351-1362. (SCI，IF=2.711，中科院大类三区，高被引论文，CCF/A)

28.Qingchen Zhang, Hua Zhong, Luarence T. Yang*, Zhikui Chen, and Fanyu Bu, “PPHOCFS: Privacy Preserving High-order CFS Algorithm on Cloud for Clustering Multimedia Data,” ACM Transactions on Multimedia Computing, Communications and Applications, 2016, 12(4s): 66:1-66:15. (SCI，IF=3.275，中科院大类三区，CCF/B)