Qingshan Liu

13.0k total citations · 5 hit papers
273 papers, 8.5k citations indexed

About

Qingshan Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Qingshan Liu has authored 273 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 183 papers in Computer Vision and Pattern Recognition, 60 papers in Media Technology and 43 papers in Artificial Intelligence. Recurrent topics in Qingshan Liu's work include Face and Expression Recognition (54 papers), Advanced Image and Video Retrieval Techniques (51 papers) and Remote-Sensing Image Classification (40 papers). Qingshan Liu is often cited by papers focused on Face and Expression Recognition (54 papers), Advanced Image and Video Retrieval Techniques (51 papers) and Remote-Sensing Image Classification (40 papers). Qingshan Liu collaborates with scholars based in China, United States and Singapore. Qingshan Liu's co-authors include Renlong Hang, Dimitris Metaxas, Kaihua Zhang, Zengqun Zhao, Feng Zhou, Pedram Ghamisi, Huihui Song, Hanqing Lu, Peng Yang and Yuchi Huang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Bioresource Technology.

In The Last Decade

Qingshan Liu

259 papers receiving 8.3k citations

Hit Papers

align trajectories sort by overperformance

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.

Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images

2015 625 citations Qingshan Liu et al. profile →
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

2020 341 citations Renlong Hang, Li Zhu et al. IEEE Transactions on Geoscience and Remote Sensing profile →
Hyperspectral Image Classification With Attention-Aided CNNs

2020 267 citations Renlong Hang, Zhu Li et al. IEEE Transactions on Geoscience and Remote Sensing profile →
Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild

2021 210 citations Qingshan Liu, Shanmin Wang et al. profile →
Robust Lightweight Facial Expression Recognition Network with Label Distribution Training

2021 162 citations Qingshan Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qingshan Liu China	47	5.2k	2.2k	1.7k	924	909	273	8.5k
Jingyu Yang China	63	10.4k 2.0×	3.2k 1.5×	3.0k 1.7×	255 0.3×	519 0.6×	609	15.8k
Tong Zhang China	40	2.5k 0.5×	756 0.3×	4.0k 2.3×	894 1.0×	208 0.2×	213	7.9k
Jungong Han China	59	11.0k 2.1×	2.5k 1.1×	3.9k 2.2×	190 0.2×	312 0.3×	357	15.0k
Peihua Li China	29	4.6k 0.9×	1.2k 0.6×	1.9k 1.1×	123 0.1×	278 0.3×	118	8.2k
Kin‐Man Lam Hong Kong	52	4.9k 0.9×	1.1k 0.5×	589 0.3×	257 0.3×	239 0.3×	375	8.0k
Songcan Chen China	48	6.3k 1.2×	1.6k 0.7×	3.8k 2.2×	151 0.2×	332 0.4×	271	9.5k
Qilong Wang China	21	4.3k 0.8×	1.2k 0.5×	1.9k 1.1×	116 0.1×	254 0.3×	67	7.3k
Chen Chen United States	54	8.9k 1.7×	4.1k 1.9×	2.4k 1.4×	122 0.1×	939 1.0×	257	12.1k
Xiaoqiang Lu China	55	5.9k 1.1×	4.9k 2.2×	1.7k 1.0×	59 0.1×	2.1k 2.3×	246	9.5k
Mingsheng Long China	45	5.5k 1.0×	550 0.3×	5.7k 3.3×	180 0.2×	757 0.8×	94	10.6k

Countries citing papers authored by Qingshan Liu

Since Specialization

Citations

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

Fields of papers citing papers by Qingshan Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingshan Liu

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

Liu, Qingshan, Yang Cao, Yaoyao Ren, et al.. (2025). Single-atom nanozyme immunoassay with electron-rich property for clinical patient cancer detection. Chemical Engineering Journal. 506. 159940–159940. 5 indexed citations

Zhao, Xuan, et al.. (2025). A high-deck coach evacuation model framework: Behavioural modelling, numerical analyses and insights. Reliability Engineering & System Safety. 265. 111582–111582. 1 indexed citations

Wu, Baoyuan, Mingli Zhu, Mingda Zhang, et al.. (2025). Defenses in Adversarial Machine Learning: A Systematic Survey From the Lifecycle Perspective. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(1). 876–895.

Liu, Qingshan, Jiarong Li, Shuangjie Liu, et al.. (2025). Single-atom nanozymes with intelligent response to pathological microenvironments for bacterially infected wound healing. Biomaterials Science. 13(4). 1033–1044. 3 indexed citations

Xia, Guiyu, et al.. (2025). Text-driven human image generation with texture and pose control. Neurocomputing. 634. 129813–129813. 1 indexed citations

Liu, Qingshan, et al.. (2024). Neutrophil hitchhiking for nanoparticle delivery to the central nervous system. Applied Materials Today. 38. 102259–102259. 10 indexed citations

Wang, Huiyan, H. J. Yang, Xinqi Fan, et al.. (2024). Comprehensive analysis of ankyrin repeat gene family revealed SbANK56 confers drought tolerance in sorghum. Environmental and Experimental Botany. 228. 105989–105989. 1 indexed citations

Xia, Guiyu, et al.. (2024). 3D human model guided pose transfer via progressive flow prediction network. Journal of Visual Communication and Image Representation. 105. 104327–104327.

Hang, Renlong, et al.. (2024). DiFormer: A Difference Transformer Network for Remote Sensing Change Detection. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 25 indexed citations

10.

Gao, Zhenfeng, Huiyan Wang, Qi Guo, et al.. (2024). Identification of heterosis and combining ability in the hybrids of male sterile and restorer sorghum [Sorghum bicolor (L.) Moench] lines. PLoS ONE. 19(1). e0296416–e0296416. 3 indexed citations

11.

Xue, Xiaoyan, Meili Guo, Hao Zhang, et al.. (2024). Valence-engineering modulation of MoS₂ clusters for enhancing biocatalytic activity. Nanoscale. 17(6). 3487–3497. 1 indexed citations

12.

Hang, Renlong, et al.. (2024). Spatiotemporal Enhanced Adversarial Network for Precipitation Nowcasting. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 7608–7620. 4 indexed citations

13.

Liu, Qingshan, et al.. (2024). Estimating Tropical Cyclone Intensity Using an STIA Model From Himawari-8 Satellite Images in the Western North Pacific Basin. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 10 indexed citations

14.

Liu, Yan, et al.. (2023). Bi-RRNet: Bi-level recurrent refinement network for camouflaged object detection. Pattern Recognition. 139. 109514–109514. 26 indexed citations

15.

Zhang, Kaihua, et al.. (2022). Deep Object Co-Segmentation and Co-Saliency Detection via High-Order Spatial-Semantic Network Modulation. IEEE Transactions on Multimedia. 25. 5733–5746. 13 indexed citations

16.

Hang, Renlong, Li Zhu, Pedram Ghamisi, et al.. (2020). Classification of Hyperspectral and LiDAR Data Using Coupled CNNs. IEEE Transactions on Geoscience and Remote Sensing. 58(7). 4939–4950. 341 indexed citations breakdown →

17.

Hang, Renlong, Zhu Li, Qingshan Liu, Pedram Ghamisi, & Shuvra S. Bhattacharyya. (2020). Hyperspectral Image Classification With Attention-Aided CNNs. IEEE Transactions on Geoscience and Remote Sensing. 59(3). 2281–2293. 267 indexed citations breakdown →

18.

Liu, Guangcan, Qingshan Liu, & Xiao–Tong Yuan. (2017). A New Theory for Matrix Completion. Neural Information Processing Systems. 30. 785–794. 17 indexed citations

19.

Zhang, Kaihua, Qingshan Liu, Yi Wu, & Ming–Hsuan Yang. (2015). Robust Tracking via Convolutional Networks without Learning.. arXiv (Cornell University). 6 indexed citations

20.

Liu, Qingshan. (2006). Comprehensive model of mid-and long-term load forecasting based on maximum entropy principle. Relay. 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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