Qingchuan Tao

1.1k total citations · 1 hit paper
27 papers, 950 citations indexed

About

Qingchuan Tao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Biomedical Engineering. According to data from OpenAlex, Qingchuan Tao has authored 27 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 6 papers in Biomedical Engineering. Recurrent topics in Qingchuan Tao's work include Advanced Sensor and Energy Harvesting Materials (5 papers), Advanced Vision and Imaging (4 papers) and Face and Expression Recognition (4 papers). Qingchuan Tao is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (5 papers), Advanced Vision and Imaging (4 papers) and Face and Expression Recognition (4 papers). Qingchuan Tao collaborates with scholars based in China, Japan and United States. Qingchuan Tao's co-authors include Yanmei Yu, Xinxing Zhang, Canhui Lu, Jie Cao, Jian Zhuang, Fengyuan Zhao, Tao Zhou, Quanquan Guo, Quancheng Song and Zehang Zhou and has published in prestigious journals such as Angewandte Chemie International Edition, ACS Nano and Neurocomputing.

In The Last Decade

Qingchuan Tao

25 papers receiving 936 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.

Multiple Hydrogen Bonding Enables the Self‐Healing of Sensors for Human–Machine Interactions

2017 465 citations Jie Cao, Canhui Lu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qingchuan Tao China	7	566	538	190	176	142	27	950
Youngmin Kim South Korea	19	675 1.2×	382 0.7×	200 1.1×	86 0.5×	438 3.1×	65	1.1k
Orr Zohar Israel	10	420 0.7×	314 0.6×	51 0.3×	84 0.5×	122 0.9×	14	632
Ruonan Liu China	17	786 1.4×	310 0.6×	137 0.7×	63 0.4×	193 1.4×	51	1.1k
Matthew Tan Singapore	14	708 1.3×	407 0.8×	164 0.9×	108 0.6×	110 0.8×	28	1.0k
Byong Chon Park South Korea	14	650 1.1×	292 0.5×	173 0.9×	34 0.2×	295 2.1×	43	934
Mingkun Li China	8	680 1.2×	324 0.6×	195 1.0×	80 0.5×	147 1.0×	20	835
Huixin Luan China	8	568 1.0×	285 0.5×	132 0.7×	40 0.2×	186 1.3×	8	658
Kaixi Huang China	8	574 1.0×	358 0.7×	47 0.2×	74 0.4×	112 0.8×	20	836

Countries citing papers authored by Qingchuan Tao

Since Specialization

Citations

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

Fields of papers citing papers by Qingchuan Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingchuan Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Qingchuan Tao. A scholar is included among the top collaborators of Qingchuan Tao 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 Qingchuan Tao. Qingchuan Tao 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.

Wang, Shuang, et al.. (2025). DPEC: Dual-Path Error Compensation for low-light image enhancement. Neurocomputing. 637. 129980–129980. 1 indexed citations

2.

Tao, Qingchuan, et al.. (2025). Learning Source-Free Domain Adaptation for Infrared Small Target Detection. IEEE Signal Processing Letters. 32. 1121–1125. 1 indexed citations

3.

Tao, Qingchuan, et al.. (2024). DEAR: a novel deep-level semantics feature reinforce framework for Infrared Small Object Segmentation. The Visual Computer. 41(3). 1855–1872. 1 indexed citations

4.

Pang, Bo, et al.. (2024). GA-UNet: A Lightweight Ghost and Attention U-Net for Medical Image Segmentation. Journal of Imaging Informatics in Medicine. 37(4). 1874–1888. 6 indexed citations

5.

Xiang, Yong, et al.. (2024). Underdetermined Blind Signal Separation with Smooth Approximation Function for Insufficiently Sparse Sources. Circuits Systems and Signal Processing. 44(4). 2503–2526.

6.

Peng, Dezhong, et al.. (2023). Statistically Dependent Blind Signal Separation under Relaxed Sparsity. IEEE Signal Processing Letters. 1–5. 4 indexed citations

7.

Tao, Qingchuan, et al.. (2021). SF-GAN: Face De-Identification Method Without Losing Facial Attribute Information. IEEE Signal Processing Letters. 28. 1345–1349. 17 indexed citations

8.

Tao, Qingchuan, et al.. (2019). 结合改进Deeplab v3+网络的水岸线检测算法. 24(12). 2174–2182. 1 indexed citations

9.

Tao, Qingchuan, et al.. (2019). Non‐orthogonal multiple access without channel state information for similar channel conditions. Electronics Letters. 55(8). 493–495. 1 indexed citations

10.

Tao, Qingchuan, et al.. (2018). Sketch simplification based on conditional random field and least squares generative adversarial networks. Neurocomputing. 316. 178–189. 10 indexed citations

11.

Li, Rui, et al.. (2018). Target Detection Algorithm Based on Chamfer Distance Transform and Random Template. 52. 106–112. 1 indexed citations

12.

Cao, Jie, Canhui Lu, Jian Zhuang, et al.. (2017). Multiple Hydrogen Bonding Enables the Self‐Healing of Sensors for Human–Machine Interactions. Angewandte Chemie. 129(30). 8921–8926. 123 indexed citations

13.

Li, Xiangqun, Xiaohai He, Linbo Qing, Qingchuan Tao, & Di Wu. (2017). Research on compression performance of ultrahigh-definition videos. Journal of Electronic Imaging. 26(6). 1–1. 1 indexed citations

14.

He, Xiaohai, et al.. (2009). Restoration method for COSM image based on RBF neural network. Journal of Computer Applications. 29(1). 78–80. 1 indexed citations

15.

Liu, Zhiming, Chengjun Liu, & Qingchuan Tao. (2009). Learning-based image representation and method for face recognition. 5681. 1–6. 1 indexed citations

16.

Tao, Qingchuan, et al.. (2006). A Landmark Paper in Face Recognition. University of Twente Research Information. 73–78. 34 indexed citations

17.

Tao, Qingchuan, et al.. (2005). Detection of human faces in color image using genetic algorithm. 6. 3563–3567.

18.

Tao, Qingchuan, Xiaohai He, Jia Zhao, Qizhi Teng, & Jianguo Chen. (2005). Image estimation based on depth-variant imaging model in three-dimensional microscopy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5637. 590–590. 1 indexed citations

19.

He, Xiaohai, et al.. (2002). Triplet circular Hough transform for circle detection. Journal of Electronics (China). 19(4). 356–362. 3 indexed citations

20.

Tao, Qingchuan, et al.. (2002). <title>New car plate recognition method based on fuzzy entropy</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4922. 144–148. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Youngmin Kim Breakdown of academic impact, for papers by Orr Zohar Breakdown of academic impact, for papers by Ruonan Liu Breakdown of academic impact, for papers by Matthew Tan Breakdown of academic impact, for papers by Byong Chon Park Breakdown of academic impact, for papers by Mingkun Li Breakdown of academic impact, for papers by Huixin Luan Breakdown of academic impact, for papers by Kaixi Huang