Juhua Liu

2.0k total citations
53 papers, 1.1k citations indexed

About

Juhua Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Juhua Liu has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 12 papers in Media Technology. Recurrent topics in Juhua Liu's work include Handwritten Text Recognition Techniques (8 papers), Topic Modeling (7 papers) and Natural Language Processing Techniques (7 papers). Juhua Liu is often cited by papers focused on Handwritten Text Recognition Techniques (8 papers), Topic Modeling (7 papers) and Natural Language Processing Techniques (7 papers). Juhua Liu collaborates with scholars based in China, Australia and United States. Juhua Liu's co-authors include Bo Du, Dacheng Tao, Hai Su, Chaoyue Wang, Qihuang Zhong, Zhe Chen, Jian Ye, Liang Ding, Jing Zhang and Yaohua Yi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Food Chemistry.

In The Last Decade

Juhua Liu

52 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juhua Liu China 19 456 273 244 153 145 53 1.1k
Dong Zhang China 18 737 1.6× 219 0.8× 249 1.0× 81 0.5× 88 0.6× 81 1.4k
Kazuhiro Hotta Japan 18 447 1.0× 102 0.4× 157 0.6× 36 0.2× 212 1.5× 119 1.2k
Liang Liao China 21 621 1.4× 147 0.5× 112 0.5× 23 0.2× 66 0.5× 69 1.4k
Wei Cheng China 14 229 0.5× 92 0.3× 31 0.1× 154 1.0× 57 0.4× 68 792
Yen‐Cheng Liu Taiwan 15 648 1.4× 141 0.5× 283 1.2× 49 0.3× 128 0.9× 39 1.1k
Ruimao Zhang China 19 1.2k 2.5× 95 0.3× 533 2.2× 96 0.6× 139 1.0× 72 2.1k
Shuying Liu China 12 322 0.7× 80 0.3× 196 0.8× 31 0.2× 153 1.1× 57 1.0k
Xiaoyong Liu China 17 156 0.3× 41 0.2× 97 0.4× 44 0.3× 301 2.1× 80 1.2k
Donglai Wei United States 18 619 1.4× 129 0.5× 468 1.9× 18 0.1× 189 1.3× 66 1.5k

Countries citing papers authored by Juhua Liu

Since Specialization
Citations

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

Fields of papers citing papers by Juhua Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juhua Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Juhua Liu. A scholar is included among the top collaborators of Juhua 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 Juhua Liu. Juhua Liu 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.
Hu, Jiajun, et al.. (2024). Successive model-agnostic meta-learning for few-shot fault time series prognosis. Neurocomputing. 595. 127879–127879. 6 indexed citations
2.
Zhong, Qihuang, Liang Ding, Juhua Liu, Bo Du, & Dacheng Tao. (2024). ROSE Doesn’t Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. 13721–13736. 2 indexed citations
3.
Zhong, Qihuang, Liang Ding, Li Shen, et al.. (2024). Revisiting Knowledge Distillation for Autoregressive Language Models. 10900–10913. 4 indexed citations
4.
Zhang, Jing, Juhua Liu, Baocai Yin, et al.. (2024). Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(3). 1431–1447. 3 indexed citations
5.
Zhang, Jing, et al.. (2023). DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3241–3249. 46 indexed citations
6.
Zhong, Qihuang, Liang Ding, Juhua Liu, Bo Du, & Dacheng Tao. (2023). Self-Evolution Learning for Discriminative Language Model Pretraining. 4 indexed citations
7.
Zhong, Qihuang, Liang Ding, Juhua Liu, et al.. (2023). Revisiting Token Dropping Strategy in Efficient BERT Pretraining. 10391–10405. 4 indexed citations
8.
Zhong, Qihuang, Liang Ding, Li Shen, et al.. (2022). Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. 4064–4085. 20 indexed citations
9.
Huang, Shaoli, et al.. (2021). FCL-Net: Towards accurate edge detection via Fine-scale Corrective Learning. Neural Networks. 145. 248–259. 30 indexed citations
10.
Yuan, Yuan, et al.. (2019). Locally and multiply distorted image quality assessment via multi-stage CNNs. Information Processing & Management. 57(4). 102175–102175. 7 indexed citations
11.
Guo, Tan, Fulin Luo, Lei Zhang, et al.. (2019). Target Detection in Hyperspectral Imagery via Sparse and Dense Hybrid Representation. IEEE Geoscience and Remote Sensing Letters. 17(4). 716–720. 31 indexed citations
12.
Liu, Juhua, Ming‐Yen Ng, TT Cheung, et al.. (2017). Ten-year progression of coronary artery, carotid artery, and aortic calcification in patients with rheumatoid arthritis. Clinical Rheumatology. 36(4). 807–816. 14 indexed citations
13.
Liu, Juhua, et al.. (2016). Efficient Hardware Implementation of Roadrunner for Lightweight Application. 224–227. 4 indexed citations
14.
Wu, Wei, Li Liu, Zhigao Dai, et al.. (2015). Low-Cost, Disposable, Flexible and Highly Reproducible Screen Printed SERS Substrates for the Detection of Various Chemicals. Scientific Reports. 5(1). 10208–10208. 135 indexed citations
15.
Hu, Xiaohui, Mi Deng, Juhua Liu, et al.. (2013). Protein Serine/Threonine Phosphotase-2A is Differentially Expressed and Regulates Eye Development in Vertebrates. Current Molecular Medicine. 13(8). 1376–1384. 4 indexed citations
16.
Yan, Qin, Xiangcheng Tang, Juhua Liu, et al.. (2012). Protein Serine/Threonine Phosphotase-1 is Essential in Governing Normal Development of Vertebrate Eye. Current Molecular Medicine. 12(10). 1361–1371. 8 indexed citations
17.
Ji, Wei-Ke, Shujun Fu, Lili Gong, et al.. (2012). Alpha-Crystallins and Tumorigenesis. Current Molecular Medicine. 12(9). 1164–1173. 16 indexed citations
18.
Yan, Qin, et al.. (2010). Apoptosis: Its Functions and Control in the Ocular Lens. Current Molecular Medicine. 10(9). 864–875. 27 indexed citations
19.
20.
Cheng, Hongrui, et al.. (2004). Wavelet domain image denoising via support vector regression. Electronics Letters. 40(23). 1479–1481. 20 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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