Jinqiu Sun

2.2k total citations · 1 hit paper
73 papers, 1.3k citations indexed

About

Jinqiu Sun is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Jinqiu Sun has authored 73 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Vision and Pattern Recognition, 25 papers in Media Technology and 12 papers in Aerospace Engineering. Recurrent topics in Jinqiu Sun's work include Advanced Image Processing Techniques (32 papers), Advanced Vision and Imaging (26 papers) and Image and Signal Denoising Methods (19 papers). Jinqiu Sun is often cited by papers focused on Advanced Image Processing Techniques (32 papers), Advanced Vision and Imaging (26 papers) and Image and Signal Denoising Methods (19 papers). Jinqiu Sun collaborates with scholars based in China, Australia and South Korea. Jinqiu Sun's co-authors include Yanning Zhang, Qingsen Yan, Yu Zhu, Shaolin Su, Cheng Zhang, Xin Ge, Qinfeng Shi, Yu Liu, Lei Zhang and Dong Gong and has published in prestigious journals such as Analytical Biochemistry, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Jinqiu Sun

68 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network

2020 451 citations Shaolin Su, Qingsen Yan et al. Adelaide Research & Scholarship (AR&S) (University of Adelaide) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jinqiu Sun China	17	1.1k	462	98	73	65	73	1.3k
Yuchen Fan China	14	1.6k 1.5×	772 1.7×	57 0.6×	94 1.3×	57 0.9×	47	1.9k
Yifan Jiang United States	5	1.5k 1.4×	570 1.2×	74 0.8×	160 2.2×	57 0.9×	10	1.7k
Xinyu Gong China	10	1.5k 1.4×	555 1.2×	93 0.9×	208 2.8×	83 1.3×	27	1.8k
Seungjun Nah South Korea	6	1.7k 1.6×	764 1.7×	37 0.4×	65 0.9×	61 0.9×	8	1.8k
Fan‐Chieh Cheng Taiwan	16	1.3k 1.3×	593 1.3×	84 0.9×	73 1.0×	71 1.1×	35	1.5k
Jae-Young Sim South Korea	19	1.6k 1.5×	475 1.0×	147 1.5×	31 0.4×	41 0.6×	62	1.7k
Xiangyu Xu China	14	1.3k 1.2×	497 1.1×	28 0.3×	49 0.7×	30 0.5×	33	1.5k
Faming Fang China	22	1.4k 1.3×	962 2.1×	96 1.0×	51 0.7×	25 0.4×	71	1.7k
Hai‐Miao Hu China	18	1.9k 1.8×	830 1.8×	121 1.2×	102 1.4×	50 0.8×	69	2.1k

Countries citing papers authored by Jinqiu Sun

Since Specialization

Citations

This map shows the geographic impact of Jinqiu Sun'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 Jinqiu Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinqiu Sun more than expected).

Fields of papers citing papers by Jinqiu Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jinqiu Sun. 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 Jinqiu Sun. The network helps show where Jinqiu Sun may publish in the future.

Co-authorship network of co-authors of Jinqiu Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Jinqiu Sun. A scholar is included among the top collaborators of Jinqiu Sun 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 Jinqiu Sun. Jinqiu Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhang, Jingcheng, et al.. (2025). A multi-scale feature cross-dimensional interaction network for stereo image super-resolution. Multimedia Systems. 31(2). 1 indexed citations

2.

Zhu, Yu, et al.. (2025). Enhancing Border Learning for Better Image Denoising. Mathematics. 13(7). 1119–1119. 1 indexed citations

3.

Zhu, Yu, et al.. (2025). Inter-view dual-domain guided stable diffusion for real-world stereo image super-resolution. Expert Systems with Applications. 296. 129201–129201.

4.

Yan, Qingsen, Cheng Zhang, Guansong Pang, et al.. (2025). HVI: A New Color Space for Low-light Image Enhancement. 5678–5687. 13 indexed citations

5.

Wu, Jiang, et al.. (2025). Sparse2DGS: Geometry-Prioritized Gaussian Splatting for Surface Reconstruction from Sparse Views. 11307–11316.

6.

Yao, Rui, et al.. (2024). Dual-Stream Edge-Target Learning Network for Infrared Small Target Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 8 indexed citations

7.

Su, Shaolin, et al.. (2024). GSDD: Generative Space Dataset Distillation for Image Super-resolution. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 7069–7077. 1 indexed citations

8.

Sun, Jinqiu, et al.. (2024). Dynamic center point learning for multiple object tracking under Severe occlusions. Knowledge-Based Systems. 300. 112130–112130. 22 indexed citations

9.

Su, Shaolin, et al.. (2023). Learning depth via leveraging semantics: Self-supervised monocular depth estimation with both implicit and explicit semantic guidance. Pattern Recognition. 137. 109297–109297. 20 indexed citations

10.

Wang, Pei, Yu Zhu, Jinqiu Sun, et al.. (2023). Take a Prior from Other Tasks For Severe Blur Removal. SSRN Electronic Journal. 1 indexed citations

11.

Yan, Qingsen, Weiye Chen, Song Zhang, et al.. (2023). A Unified HDR Imaging Method with Pixel and Patch Level. 22211–22220. 23 indexed citations

12.

Zhu, Yu, et al.. (2022). Self-Supervised Monocular Depth Estimation With Frequency-Based Recurrent Refinement. IEEE Transactions on Multimedia. 25. 5626–5637. 15 indexed citations

13.

Zhang, Shuang, Lian Jin, Jinqiu Sun, et al.. (2022). Target recognition initiated self-dissociation based DNA nanomachine for sensitive and accurate MicroRNA (miRNA) detection. Analytical Biochemistry. 662. 115014–115014. 3 indexed citations

14.

Zhu, Yu, et al.. (2022). Real-World Image Super-Resolution Via Kernel Augmentation And Stochastic Variation. 2022 IEEE International Conference on Image Processing (ICIP). 2506–2510. 1 indexed citations

15.

Yan, Qingsen, Lei Zhang, Yu Liu, et al.. (2020). Deep HDR Imaging via A Non-Local Network. IEEE Transactions on Image Processing. 29. 4308–4322. 144 indexed citations

16.

Zhang, Cheng, Qingsen Yan, Yu Zhu, et al.. (2020). Attention-Based Network For Low-Light Image Enhancement. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1–6. 29 indexed citations

17.

Gong, Dong, et al.. (2018). Blind image deblurring by promoting group sparsity. Neurocomputing. 310. 190–200. 9 indexed citations

18.

Sun, Jinqiu, et al.. (2018). ARSAC: Efficient model estimation via adaptively ranked sample consensus. Neurocomputing. 328. 88–96. 13 indexed citations

19.

Zhang, Yanning, et al.. (2014). Motion deblurring using the similarity of the multiscales. Optik. 126(4). 473–477. 6 indexed citations

20.

Hu, Fuyuan, Yanning Zhang, Lan Yao, & Jinqiu Sun. (2007). A new method of moving object detection and shadow removing. Journal of Electronics (China). 24(4). 528–536. 3 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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