Qingmin Liao

6.0k total citations · 1 hit paper
282 papers, 4.1k citations indexed

About

Qingmin Liao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Qingmin Liao has authored 282 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 213 papers in Computer Vision and Pattern Recognition, 64 papers in Media Technology and 54 papers in Signal Processing. Recurrent topics in Qingmin Liao's work include Advanced Vision and Imaging (56 papers), Advanced Image Processing Techniques (52 papers) and Face recognition and analysis (42 papers). Qingmin Liao is often cited by papers focused on Advanced Vision and Imaging (56 papers), Advanced Image Processing Techniques (52 papers) and Face recognition and analysis (42 papers). Qingmin Liao collaborates with scholars based in China, United Kingdom and United States. Qingmin Liao's co-authors include Wenming Yang, Jing‐Hao Xue, Fei Zhou, Yapeng Tian, Xuechen Zhang, Wei Wang, Weifeng Li, Biao Wang, Wen Sun and Zongqing Lu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Optics Express.

In The Last Decade

Qingmin Liao

259 papers receiving 3.9k citations

Hit Papers

Deep Learning for Single ... 2019 2026 2021 2023 2019 200 400 600
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.

  1. Deep Learning for Single Image Super-Resolution: A Brief Review
    2019 730 citations Wenming Yang, Xuechen Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingmin Liao China 30 2.9k 1.1k 610 553 258 282 4.1k
Chia‐Wen Lin Taiwan 47 6.7k 2.3× 1.8k 1.6× 1.1k 1.8× 833 1.5× 408 1.6× 262 8.2k
Roberto Lotufo Brazil 21 1.7k 0.6× 415 0.4× 254 0.4× 573 1.0× 220 0.9× 134 3.1k
Yue Wu United States 34 4.0k 1.4× 559 0.5× 595 1.0× 849 1.5× 299 1.2× 118 5.1k
Balasubramanian Raman India 39 3.7k 1.3× 632 0.6× 521 0.9× 1.1k 2.1× 329 1.3× 270 5.7k
Shaohui Liu China 34 2.8k 1.0× 478 0.4× 237 0.4× 600 1.1× 443 1.7× 187 4.7k
Guojun Lu Australia 34 5.4k 1.9× 941 0.8× 671 1.1× 804 1.5× 153 0.6× 209 6.9k
Lizhuang Ma China 38 3.5k 1.2× 709 0.6× 388 0.6× 941 1.7× 187 0.7× 321 4.9k
Lunke Fei China 36 4.1k 1.4× 1.2k 1.1× 1.4k 2.4× 1.5k 2.7× 298 1.2× 116 5.5k
Baochang Zhang China 41 5.5k 1.9× 908 0.8× 632 1.0× 2.4k 4.3× 369 1.4× 228 7.3k
Chi‐Man Pun Macao 36 4.4k 1.5× 1.2k 1.1× 304 0.5× 1.2k 2.1× 236 0.9× 302 5.7k

Countries citing papers authored by Qingmin Liao

Since Specialization
Citations

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

Fields of papers citing papers by Qingmin Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingmin Liao

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

All Works

20 of 20 papers shown
1.
Liu, Yating, Yaowei Li, Xiangyuan Lan, et al.. (2025). UP-Person: Unified Parameter-Efficient Transfer Learning for Text-Based Person Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. 35(12). 12874–12889.
2.
Yang, Wenming, et al.. (2024). DiffVein: A Unified Diffusion Network for Finger Vein Segmentation and Authentication. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12977–12990. 4 indexed citations
3.
Yang, Wenming, et al.. (2024). DRRN: Differential rectification & refinement network for ischemic infarct segmentation. CAAI Transactions on Intelligence Technology. 9(6). 1534–1547. 1 indexed citations
4.
Liao, Qingmin, et al.. (2023). Dual Correlation Network for Efficient Video Semantic Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 34(3). 1572–1585. 4 indexed citations
5.
6.
Yu, Le, et al.. (2023). CDHD: Contrastive Dreamer for Hint Distillation. 33. 1–5. 1 indexed citations
7.
Du, Yaoyao, Zixiao Zhang, Zhihao Li, et al.. (2023). Flowpose: Conditional Normalizing Flows for 3D Human Pose and Shape Estimation from Monocular Videos. 1–5. 1 indexed citations
8.
Ning, Xuefei, Zixuan Zhou, Tianchen Zhao, et al.. (2023). Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start”. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 11316–11326. 1 indexed citations
9.
Yang, Wenming, et al.. (2022). EIFNet: An Explicit and Implicit Feature Fusion Network for Finger Vein Verification. IEEE Transactions on Circuits and Systems for Video Technology. 33(5). 2520–2532. 15 indexed citations
10.
Liao, Qingmin, et al.. (2022). Efficient Semantic Segmentation via Self-Attention and Self-Distillation. IEEE Transactions on Intelligent Transportation Systems. 23(9). 15256–15266. 47 indexed citations
11.
Yang, Wenming, et al.. (2022). Attention-Driven Graph Neural Network for Deep Face Super-Resolution. IEEE Transactions on Image Processing. 31. 6455–6470. 14 indexed citations
12.
Liu, Liyang, Zhanghui Kuang, Jing‐Hao Xue, et al.. (2021). Towards Impartial Multi-task Learning. UCL Discovery (University College London). 16 indexed citations
13.
Zhang, Youcheng, Zongqing Lu, Xuechen Zhang, Jing‐Hao Xue, & Qingmin Liao. (2021). Deep Learning in Lane Marking Detection: A Survey. IEEE Transactions on Intelligent Transportation Systems. 23(7). 5976–5992. 42 indexed citations
14.
Yang, Wenming, et al.. (2020). Class-Variant Margin Normalized Softmax Loss for Deep Face Recognition. IEEE Transactions on Neural Networks and Learning Systems. 32(10). 4742–4747. 31 indexed citations
15.
Zhang, Youcheng, et al.. (2020). Ripple-GAN: Lane Line Detection With Ripple Lane Line Detection Network and Wasserstein GAN. IEEE Transactions on Intelligent Transportation Systems. 22(3). 1532–1542. 54 indexed citations
16.
Wang, Li, et al.. (2018). Multi-Target Detection and Adaptive Waveform Design for Cognitive MIMO Radar. IEEE Sensors Journal. 18(24). 9962–9970. 31 indexed citations
17.
Sun, Wen, Qingmin Liao, Jing‐Hao Xue, & Fei Zhou. (2018). SPSIM: A Superpixel-Based Similarity Index for Full-Reference Image Quality Assessment. IEEE Transactions on Image Processing. 27(9). 4232–4244. 78 indexed citations
18.
Li, Qing, Qing Li, Mingwei Xu, et al.. (2017). Scale the Internet routing table by generalized next hops of strict partial order. Information Sciences. 412-413. 101–115. 4 indexed citations
19.
Liao, Qingmin. (2012). PET preform defect detection based on RANSAC and uniformity of grey level. Jisuanji yingyong yanjiu. 2 indexed citations
20.
Tan, Huan, et al.. (2007). Design and qualitative analysis of the improved algorithm of motion track predictive control with flexible curve calculation for robot manipulator. 92–96. 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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