Yao Qian

892 total citations
25 papers, 619 citations indexed

About

Yao Qian is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Yao Qian has authored 25 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Media Technology, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Aerospace Engineering. Recurrent topics in Yao Qian's work include Advanced Image Fusion Techniques (13 papers), Image Enhancement Techniques (9 papers) and Remote-Sensing Image Classification (7 papers). Yao Qian is often cited by papers focused on Advanced Image Fusion Techniques (13 papers), Image Enhancement Techniques (9 papers) and Remote-Sensing Image Classification (7 papers). Yao Qian collaborates with scholars based in China, Norway and Denmark. Yao Qian's co-authors include Gang Liu, Xiaoxia Du, Mengxing Wang, Jian‐Ren Liu, Qiting Zhang, Ying Zhao, Yilan Wu, Jianqi Li, Haifeng Lu and Yan-Hui Shi and has published in prestigious journals such as Scientific Reports, Environment International and Pattern Recognition.

In The Last Decade

Yao Qian

20 papers receiving 613 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yao Qian China	14	227	168	143	114	84	25	619
Mohamed Shaban United States	12	27 0.1×	99 0.6×	35 0.2×	6 0.1×	80 1.0×	36	492
Weikai Li China	16	130 0.6×	384 2.3×	3 0.0×	18 0.2×	30 0.4×	45	627
David Browne United States	10	30 0.1×	159 0.9×	11 0.1×	5 0.0×	13 0.2×	29	465
Donghyeon Kim South Korea	14	100 0.4×	163 1.0×	5 0.0×		48 0.6×	64	483
Andreas Koch Germany	12	171 0.8×	36 0.2×	2 0.0×	30 0.3×	6 0.1×	51	735
Hongyang Lu China	13	7 0.0×	34 0.2×	55 0.4×		69 0.8×	47	627
Sebastian Magda United States	6	249 1.1×	126 0.8×	3 0.0×		91 1.1×	8	482
Manabu Hashimoto Japan	12	33 0.1×	33 0.2×	22 0.2×		230 2.7×	88	493
Lin Meng China	11	29 0.1×	112 0.7×	5 0.0×		28 0.3×	89	463
Jianpeng Li China	10	128 0.6×	136 0.8×	12 0.1×		26 0.3×	24	430

Countries citing papers authored by Yao Qian

Since Specialization

Citations

This map shows the geographic impact of Yao Qian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yao Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Qian more than expected).

Fields of papers citing papers by Yao Qian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yao Qian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yao Qian. The network helps show where Yao Qian may publish in the future.

Co-authorship network of co-authors of Yao Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Yao Qian. A scholar is included among the top collaborators of Yao Qian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yao Qian. Yao Qian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Zixuan, et al.. (2025). Transformer architecture with illumination aware mechanisms for low-light image enhancement via Retinex decomposition. Engineering Applications of Artificial Intelligence. 162. 112414–112414.

Qian, Yao, et al.. (2025). TransFusion: Transfer learning-driven adaptive fusion network for infrared and visible image. Infrared Physics & Technology. 150. 105906–105906.

Qian, Yao, et al.. (2025). Optimization of Heat Transfer and Flow Performance of Microchannel Liquid-Cooled Plate Based on Orthogonal Test. Buildings. 15(6). 905–905. 2 indexed citations

Liu, Gang, et al.. (2024). MRASFusion: A multi-scale residual attention infrared and visible image fusion network based on semantic segmentation guidance. Infrared Physics & Technology. 139. 105343–105343. 4 indexed citations

Liu, Gang, et al.. (2024). EgeFusion: Towards Edge Gradient Enhancement in Infrared and Visible Image Fusion With Multi-Scale Transform. IEEE Transactions on Computational Imaging. 10. 385–398. 32 indexed citations

Liu, Gang, et al.. (2024). ALFusion: Adaptive fusion for infrared and visible images under complex lighting conditions. Digital Signal Processing. 156. 104864–104864.

Qian, Yao, et al.. (2024). LiMFusion: Infrared and visible image fusion via local information measurement. Optics and Lasers in Engineering. 181. 108435–108435. 9 indexed citations

Wu, Jiacheng, et al.. (2024). GAN-GA: infrared and visible image fusion generative adversarial network based on global awareness. Applied Intelligence. 54(13-14). 7296–7316. 9 indexed citations

Gao, Yu, Jiajun Luo, X. Lei, et al.. (2024). Effect modification by maternal vitamin D status in the association between prenatal exposure to per- and polyfluoroalkyl substances and neurodevelopment in 2-year-old children. Environment International. 185. 108563–108563. 12 indexed citations

10.

Liu, Gang, et al.. (2024). Infrared and visible image fusion method based on visual saliency objects and fuzzy region attributes. The Visual Computer. 41(2). 1109–1125.

11.

Liu, Gang, et al.. (2024). CFNet: An infrared and visible image compression fusion network. Pattern Recognition. 156. 110774–110774. 22 indexed citations

12.

Qian, Yao, et al.. (2024). MPCFusion: Multi-scale parallel cross fusion for infrared and visible images via convolution and vision Transformer. Optics and Lasers in Engineering. 176. 108094–108094. 13 indexed citations

13.

Liu, Gang, et al.. (2024). RDGMEF: a multi-exposure image fusion framework based on Retinex decompostion and guided filter. Neural Computing and Applications. 36(20). 12083–12102. 1 indexed citations

14.

Liu, Gang, et al.. (2023). Multi-level adaptive perception guidance based infrared and visible image fusion. Optics and Lasers in Engineering. 171. 107804–107804. 21 indexed citations

15.

Qian, Yao, et al.. (2023). BTSFusion: Fusion of infrared and visible image via a mechanism of balancing texture and salience. Optics and Lasers in Engineering. 173. 107925–107925. 27 indexed citations

16.

Li, Kaixin, et al.. (2023). DANT-GAN: A dual attention-based of nested training network for infrared and visible image fusion. Digital Signal Processing. 145. 104316–104316. 21 indexed citations

17.

Han, Wenchao, Yu Gao, Yao Qian, et al.. (2018). Perfluoroalkyl and polyfluoroalkyl substances in matched parental and cord serum in Shandong, China. Environment International. 116. 206–213. 44 indexed citations

18.

Zhang, Jilei, Jingjing Su, Mengxing Wang, et al.. (2017). The sensorimotor network dysfunction in migraineurs without aura: a resting-state fMRI study. Journal of Neurology. 264(4). 654–663. 87 indexed citations

19.

Wang, Mengxing, Jingjing Su, Jilei Zhang, et al.. (2017). Visual cortex and cerebellum hyperactivation during negative emotion picture stimuli in migraine patients. Scientific Reports. 7(1). 41919–41919. 33 indexed citations

20.

Zhang, Jilei, Jingjing Su, Mengxing Wang, et al.. (2016). Increased default mode network connectivity and increased regional homogeneity in migraineurs without aura. The Journal of Headache and Pain. 17(1). 98–98. 73 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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