Liujuan Cao

4.3k total citations · 3 hit papers
108 papers, 2.7k citations indexed

About

Liujuan Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Liujuan Cao has authored 108 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Computer Vision and Pattern Recognition, 41 papers in Artificial Intelligence and 10 papers in Media Technology. Recurrent topics in Liujuan Cao's work include Advanced Neural Network Applications (35 papers), Advanced Image and Video Retrieval Techniques (34 papers) and Domain Adaptation and Few-Shot Learning (26 papers). Liujuan Cao is often cited by papers focused on Advanced Neural Network Applications (35 papers), Advanced Image and Video Retrieval Techniques (34 papers) and Domain Adaptation and Few-Shot Learning (26 papers). Liujuan Cao collaborates with scholars based in China, United States and Singapore. Liujuan Cao's co-authors include Rongrong Ji, Feiyue Huang, Quan Zou, Yongjian Wu, Xiaoshuai Sun, Cheng Wang, Jonathan Li, Qixiang Ye, Baochang Zhang and Shaohui Lin and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Liujuan Cao

101 papers receiving 2.6k 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.

Towards Optimal Structured CNN Pruning via Generative Adversarial Learning

2019 358 citations Shaohui Lin, Rongrong Ji et al. profile →
A novel features ranking metric with application to scalable visual and bioinformatics data classification

2015 338 citations Liujuan Cao, Rongrong Ji et al. profile →
Dual-level Collaborative Transformer for Image Captioning

2021 216 citations Xiaoshuai Sun, Liujuan Cao et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers

Liujuan Cao

CVPR

AI

MB

MT

AE

Wen Li China

Cor J. Veenman Netherlands

Sheraz Ahmed Germany

Baoyuan Wu China

Martin Heusel Austria

Yong Luo China

Qingyao Wu China

Xinzhong Zhu China

Zhi Tang China

Wen Li China

Liujuan Cao

2.0k ×1.0

CVPR

1.7k ×1.8

AI

163 ×0.6

MB

209 ×0.9

MT

58 ×0.4

AE

Citations per year, relative to Liujuan Cao Liujuan Cao (= 1×) peers Wen Li

Countries citing papers authored by Liujuan Cao

Since Specialization

Citations

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

Fields of papers citing papers by Liujuan Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liujuan Cao

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

Lin, Mingbao, et al.. (2025). UniVST: A Unified Framework for Training-Free Localized Video Style Transfer. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(3). 2820–2836. 1 indexed citations

2.

Shen, Yunhang, et al.. (2025). CLIP-Driven Transformer for Weakly Supervised Object Localization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(6). 4878–4896. 1 indexed citations

3.

Chen, Lingxi, et al.. (2025). UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning. 30365–30375.

4.

Dai, Pingyang, et al.. (2024). Occluded Person Re-identification via Saliency-Guided Patch Transfer. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 5070–5078. 14 indexed citations

5.

Shen, Yunhang, et al.. (2024). Weakly Supervised Open-Vocabulary Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3404–3412. 8 indexed citations

6.

Cao, Liujuan, et al.. (2024). FocSAM: Delving Deeply into Focused Objects in Segmenting Anything. 3120–3130. 1 indexed citations

7.

Zhang, Mengdan, Chaoyou Fu, Yunhang Shen, et al.. (2024). Cantor: Inspiring Multimodal Chain-of-Thought of MLLM. 9096–9105. 5 indexed citations

8.

Cao, Liujuan, et al.. (2024). GOI: Find 3D Gaussians of Interest with an Optimizable Open-vocabulary Semantic-space Hyperplane. 5328–5337. 4 indexed citations

9.

Li, Jiahan, Pingyang Dai, Qixiang Ye, et al.. (2023). Unsupervised Domain Adaptation on Person Reidentification Via Dual-Level Asymmetric Mutual Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(1). 1371–1382. 2 indexed citations

10.

Zhang, Shengchuan, et al.. (2023). CAM R-CNN: End-to-End Object Detection with Class Activation Maps. Neural Processing Letters. 55(8). 10483–10499. 5 indexed citations

11.

Lin, Mingbao, et al.. (2023). Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(9). 11108–11119. 2 indexed citations

12.

Li, Bo, et al.. (2023). Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3660–3668. 9 indexed citations

13.

Jin, Taisong, Liujuan Cao, Baochang Zhang, et al.. (2022). Deepwalk-aware graph convolutional networks. Science China Information Sciences. 65(5). 18 indexed citations

14.

Mi, Peng, Yiyi Zhou, Yunhang Shen, et al.. (2022). Active Teacher for Semi-Supervised Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14462–14471. 56 indexed citations

15.

Shen, Yunhang, Liujuan Cao, Baochang Zhang, et al.. (2021). Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8178–8188. 11 indexed citations

16.

Ji, Rongrong, Fuhai Chen, Liujuan Cao, & Yue Gao. (2018). Cross-Modality Microblog Sentiment Prediction via Bi-Layer Multimodal Hypergraph Learning. IEEE Transactions on Multimedia. 21(4). 1062–1075. 59 indexed citations

17.

Zang, Yu, et al.. (2016). Road Network Extraction via Aperiodic Directional Structure Measurement. IEEE Transactions on Geoscience and Remote Sensing. 54(6). 3322–3335. 29 indexed citations

18.

Zhang, Weinan, Ting Liu, Yang Yang, et al.. (2014). A Topic Clustering Approach to Finding Similar Questions from Large Question and Answer Archives. PLoS ONE. 9(3). e71511–e71511. 14 indexed citations

19.

Liu, Ting, Weinan Zhang, Liujuan Cao, & Yu Zhang. (2014). Question Popularity Analysis and Prediction in Community Question Answering Services. PLoS ONE. 9(5). e85236–e85236. 13 indexed citations

20.

Cao, Liujuan, et al.. (2014). High-capacity reversible watermarking scheme of 2D-vector data. Signal Image and Video Processing. 9(6). 1387–1394. 19 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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