在IEEE Transactions on Pattern Analysis and Machine Intelligence、 IEEE Transactions on Image Processing、IEEE Transactions on Multimedia、 IEEE Transactions on Circuits and Systems for Video Technology、Pattern Recognition、Information Fusion、Computer Vision and Image Understanding、《红外与毫米波学报》、《自动化学报》、International Conference on Computer Vision (ICCV)、Computer Vision and Pattern Recognition等国内外期刊和CCF A 类会议发表相关论文40余篇，SCI检索30多篇，单篇最高SCI他引168次，ESI高被引论文2篇，申请国家发明专利30余项（已获授权20项），荣获陕西高等学校科学技术奖二等奖1项（2017年），吴文俊人工智能技术发明奖二等奖1项（2018年）。

1. Yi Liu, Dingwen Zhang, Qiang Zhang*, Jungong Han*. Part-object relational visual saliency. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021. Accepted. DOI：10.1109/TPAMI.2021.3053577.（中科院1区，Top）
2. Qiang Zhang, Nianchang Huang, Lin Yao, Dingwen Zhang, Caifeng Shan, Jungong Han. RGB-T salient object detection via fusion multi-level CNN features. IEEE Transactions on Image Processing, 2020, 29:3321-3335.（中科院1区，Top，检索号：WOS:000510750900034）
3. Qiang Zhang, Tonglin Xiao, Nianchang Huang, Dingwen Zhang, Jungong Han. Revisiting feature fusion for RGB-T salient object detection. IEEE Transactions on Circuits and Systems for Video Technology. 2021, 31(5):1804 - 1818. （中科院2区，检索号：WOS:000647394100011）
4. Qiang Zhang, Martin D. Levine. Robust multi-focus image fusion using multi-task sparse representation and spatial context. IEEE Transactions on Image Processing, 2016, 25(5): 2045-2058. （中科院1区，Top，检索号：WOS:000373131000007）
5. Qiang Zhang, Fan Wang, Yongjiang Luo, Jungong Han. Exploring a unified low rank representation for multi-focus image fusion. Pattern Recognition, 2021, 113: 107752. （中科院1区，Top, 检索号：WOS:000626268400005）
6. Qiang Zhang, Guanghe Li, Yunfeng Cao, Jungong Han. Multi-focus image fusion based on non-negative sparse representation and patch-level consistency rectification. Pattern Recognition, 2020, 104:107325. （中科院1区，Top，检索号：WOS:000532701300006）
7. Qiang Zhang, Jinghan Wang, Zaihao Liu, Dingwen Zhang. A structure-aware splitting framework for separating cell clumps in biomedical images. Signal Processing, 2020, 168: 107331.（中科院2区， 检索号：WOS:000503095100011）
8. Qiang Zhang, Zhen Huo, Yi Liu, Yunhui Pan, Caifeng Shan, Jungong Han. Salient object detection employing a local tree-structured low-rank representation and foreground consistency. Pattern Recognition, 2019, 92:119-134. （中科院1区，Top，检索号：WOS:000468013000010）
9. Qiang Zhang, Yi Liu, Rick S. Blum, Jungong Han, Dacheng Tao, Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review. Information Fusion, 2018, 40: 57-75. （中科院1区，Top，检索号：WOS:000413059200006）(ESI)
10. Qiang Zhang, Tao Shi, Fan Wang, Rick S. Blum, Jungong Han. Robust sparse representation based multi-focus image fusion with dictionary construction and local spatial consistency. Pattern Recognition, 2018, 83: 299-313. （中科院1区，Top，检索号：WOS:000442172200023）
11. Qiang Zhang, Yi Liu, Siyang Zhu, Jungong Han. Salient object detection based on super-pixel clustering and unified low-rank representation. Computer Vision and Image Understanding, 2017, 161: 51-64. （中科院3区，检索号：WOS:000410718600006）
12. Qiang Zhang, Shenlu Zhao, Yongjiang Luo, Dingwen Zhang, Nianchang Huang, Jungong Han. ABMDRNet: Adaptive-weighted bi-directional modality difference reduction network for RGB-T semantic segmentation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021.（CCF A类）
13. Nianchang Huang, Yi Liu, Qiang Zhang*, Jungong Han*. Joint cross-modal and unimodal features for RGB-D salient object detection. IEEE Transactions on Multimedia, 2020. Accepted. DOI：10.1109/TMM.2020.3011327. （中科院1区，Top）
14. Nianchang Huang, Yang Yang, Dingwen Zhang, Qiang Zhang*, Jungong Han*. Employing bilinear fusion and saliency prior information for RGB-D salient object detection. IEEE Transactions on Multimedia, 2021. Accepted. DOI：10.1109/TMM.2021.306929.（中科院1区，Top）
15. Tianlu Zhang, Xueru Liu, Qiang Zhang*, Jungong Han. SiamCDA: Complementarity-and distractor-aware RGB-T tracking based on Siamese network. IEEE Transactions on Circuits and Systems for Video Technology, 2021. Accepted. DOI：10.1109/TCSVT.2021.3072207.（中科院2区）
16. Yi Liu, Jungong Han, Qiang Zhang*, Caifeng Shan. Deep salient object detection with contextual information guidance. IEEE Transactions on Image Processing, 2020, 29:360-374. （中科院1区，Top, 检索号：WOS:000497434700008）
17. Yi Liu, Qiang Zhang*, Dingwen Zhang, Jungong Han. Employing deep part-object relationships for salient object detection. IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, 2019, pp. 1232-1241. （CCF A类）
18. Yi Liu, Jungong Han, Qiang, Zhang*, Long Wang. Salient object detection via two-stage graphs. IEEE Transactions on Circuits and Systems for Video Technology, 2019, 29(4): 1023-1037. （中科院2区，检索号：WOS:000464149700009）
19. Yi Liu, Qiang Zhang*, Jungong Han, Long Wang. Salient object detection employing robust sparse representation and local consistency. Image and Vision Computing, 2018, 69: 155-167. （中科院3区，检索号：WOS:000425075100013）
20. Dingwen Zhang, Guohai Huang, Qiang Zhang*, Jungong Han*, Junwei Han, Yizhou Wang, Yizhou Yu. Exploring task structure for brain tumor segmentation from multi-modality MR images. IEEE Transactions on Image Processing, 2020, 29: 9032-9043. （中科院1区，Top, 检索号：WOS:000464149700009）
21. Dingwen Zhang, Guohai Huang, Qiang Zhang*, Jungong Han*, Junwei Han, Yizhou Yu. Cross-modality deep feature learning for brain tumor segmentation. Pattern Recognition, 2021, 110: 107562. （中科院1区，Top, 检索号：WOS:000585302200004）
22. Dingwen Zhang, Jiajia Zhang, Qiang Zhang*, Jungong Han*, Shu Zhang, Junwei Han. Automatic pancreas segmentation based on lightweight DCNN modules and spatial prior propagation. Pattern Recognition, 2021,114: 107762. （中科院1区，Top, 检索号：WOS:000632383600003）
23. Dingwen Zhang, Bo Wang, Gerong Wang, Qiang Zhang*, Jiajia Zhang, Jungong Han*, Zhen You. Onfocus detection: Identifying individual-camera eye contact from unconstrained images. SCIENCE CHINA Information Sciences, 2021. Accepted. DOI：10.1007/s11432-020-3181-9. （中科院2区）
24. Qiang Zhang, Lin Yao, Yajun Li. et al. Video Synchronization Based on Projective-Invariant Descriptor. Neural Processing Letters, 2019, 49:1093–1110 (2019). （中科院4区，检索号：WOS:000483206800015）
25. Yongjiang Luo, Jiali Yang, Qiang Zhang and Canglong Wang. A Fractional-Order Adaptive Filtering Algorithm in Impulsive Noise Environments. in IEEE Transactions on Circuits and Systems II: Express Briefs, DOI: 10.1109/TCSII.2021.3073961. （中科院2区）

1. 张强，刘毅，关永强，霍臻，王龙.基于鲁棒稀疏表示与拉普拉斯正则项的显著目标检测方法.国家发明专利，2019年授权，授权号：ZL201710419857.0.

2. 张强，邵蓓，韩军功，王龙. 基于单应变换的视频同步方法.国家发明专利，2019年授权，授权号：ZL201810086745.2.

3. 张强，李亚军，朱韵茹，相朋，王龙. 基于变换不变低秩纹理的投影变换图像匹配方法.国家发明专利，2019年授权，授权号：ZL201510969075.5

4. 张强，梁宁，朱四洋，王龙. 基于稀疏子空间聚类和低秩表示的显著性目标检测方法.国家发明专利，2019年授权，授权号：ZL201510951934.8.

5. 张强，邵蓓，关永强，焦强，李亚军.基于投影不变描述子的视频同步方法.国家发明专利，2019年授权，授权号：ZL201710430461.6.

6. 张强，郑元世，陈月玲，王亚彬，王龙. 结合区域匹配和点匹配的大视角图像匹配方法. 国家发明专利，2016年授权，授权号：ZL201310325400.5.

7. 张强，华胜，袁小青，王龙. 基于高阶奇异值分解的视频融合性能评价方法. 国家发明专利，2016年授权，授权号：ZL201410099933.0.

8. 张强, 陈月玲, 陈闵利, 王龙. 基于时空显著性检测的多传感器视频融合方法.国家发明专利，2015年授权，授权号：ZL201310047223.9.

9.  张强，马兆坤，王龙. 基于SCDPT变换及其幅相结合的多模态图像融合方法.国家发明专利，2015年授权，授权号：ZL201210275279.5.

10.  张强，华胜，袁小青，王龙. 基于时空显著性检测的视频融合性能评价方法.国家发明专利，2015年授权，授权号：ZL201410114553. X.

11. 张强，陈闵利，王龙. 基于3维Log-Gabor变换的视频图像融合性能评价方法. 国家发明专利，2015年授权，授权号：ZL201210493342.2.