Weide Liu

889 total citations
41 papers, 484 citations indexed

About

Weide Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Weide Liu has authored 41 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Weide Liu's work include Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Weide Liu is often cited by papers focused on Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Weide Liu collaborates with scholars based in Singapore, China and United States. Weide Liu's co-authors include Guosheng Lin, Fayao Liu, Chi Zhang, Tzu-Yi Hung, Jingwen Hou, Henghui Ding, Zichuan Liu, Yuming Fang, Jun Cheng and Weisi Lin and has published in prestigious journals such as NeuroImage, IEEE Transactions on Image Processing and Applied Microbiology and Biotechnology.

In The Last Decade

Weide Liu

34 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weide Liu Singapore 13 348 209 64 49 36 41 484
Zhenzhen Wang China 10 222 0.6× 227 1.1× 26 0.4× 46 0.9× 17 0.5× 33 434
Arsenii Ashukha Russia 4 520 1.5× 181 0.9× 59 0.9× 31 0.6× 14 0.4× 6 694
Honghui Wang China 3 228 0.7× 235 1.1× 28 0.4× 23 0.5× 34 0.9× 4 462
Zhiqiang He China 8 160 0.5× 168 0.8× 47 0.7× 59 1.2× 11 0.3× 25 425
Mingjie Sun China 14 347 1.0× 216 1.0× 43 0.7× 26 0.5× 22 0.6× 44 597
Ahmad Alzu’bi Jordan 11 342 1.0× 81 0.4× 86 1.3× 23 0.5× 35 1.0× 32 490
Guo Zhong China 14 222 0.6× 168 0.8× 56 0.9× 13 0.3× 16 0.4× 87 492
Se Hyun Park South Korea 8 278 0.8× 119 0.6× 88 1.4× 20 0.4× 19 0.5× 29 461
A. Gacsádi Romania 8 144 0.4× 135 0.6× 17 0.3× 50 1.0× 57 1.6× 42 285

Countries citing papers authored by Weide Liu

Since Specialization
Citations

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

Fields of papers citing papers by Weide Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weide Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Weide Liu. A scholar is included among the top collaborators of Weide 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 Weide Liu. Weide 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.
Zhou, Tianwei, et al.. (2025). FedPDN: Personalized Federated Learning With Interclass Similarity Constraint for Medical Image Classification Through Parameter Decoupling. IEEE Transactions on Instrumentation and Measurement. 74. 1–13. 2 indexed citations
2.
Yu, Yang, Jiahao Wang, Weide Liu, et al.. (2025). Multimodal multitask similarity learning for vision language model on radiological images and reports. Neurocomputing. 636. 130018–130018. 1 indexed citations
3.
Yan, Jiebin, et al.. (2025). Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Flexible and Effective Paradigm. ACM Transactions on Multimedia Computing Communications and Applications. 21(5). 1–19. 1 indexed citations
4.
Zhang, Shuli, et al.. (2025). Decentralized learning for medical image classification with prototypical contrastive network. Medical Physics. 52(6). 4188–4204.
5.
Liu, Weide, Xiaoyang Zhong, Jingwen Hou, et al.. (2025). Integrating large foundation models into multimodal named entity recognition with evidential fusion. Neurocomputing. 652. 131015–131015. 1 indexed citations
6.
7.
Yan, Jiebin, et al.. (2025). Subjective and Objective Quality Assessment of Non-Uniformly Distorted Omnidirectional Images. IEEE Transactions on Multimedia. 27. 2695–2707. 1 indexed citations
8.
Liu, Weide, et al.. (2025). Towards automatic US-MR fetal brain image registration with learning-based methods. NeuroImage. 310. 121104–121104.
9.
Liu, Weide, Z. Wu, Henghui Ding, et al.. (2025). Exploiting independent query information for few-shot image segmentation. Displays. 91. 103179–103179.
10.
Liu, Weide, et al.. (2025). Streamline tractography of the fetal brain in utero with machine learning. Imaging Neuroscience. 3.
11.
Yue, Guanghui, Shaoping Zhang, Tianwei Zhou, et al.. (2024). Pyramid Network With Quality-Aware Contrastive Loss for Retinal Image Quality Assessment. IEEE Transactions on Medical Imaging. 44(3). 1416–1431. 3 indexed citations
12.
Wang, Yu, Xiaoye Wang, Zaiwang Gu, et al.. (2024). SuperJunction: Learning-Based Junction Detection for Retinal Image Registration. Proceedings of the AAAI Conference on Artificial Intelligence. 38(1). 292–300. 4 indexed citations
13.
Fang, Yuming, et al.. (2024). FedCov: Enhanced Trustworthy Federated Learning for Machine RUL Prediction With Continuous-to-Discrete Conversion. IEEE Transactions on Industrial Informatics. 20(11). 12565–12574. 5 indexed citations
14.
Liu, Weide, et al.. (2024). Learning Intra-View and Cross-View Geometric Knowledge for Stereo Matching. 20752–20762. 3 indexed citations
15.
16.
Liu, Weide, et al.. (2024). Physically-guided open vocabulary segmentation with weighted patched alignment loss. Neurocomputing. 614. 128788–128788. 2 indexed citations
17.
Liu, Weide, Zhonghua Wu, Yiming Wang, et al.. (2023). LCReg: Long-tailed image classification with Latent Categories based Recognition. Pattern Recognition. 145. 109971–109971. 16 indexed citations
18.
Li, Ling, et al.. (2023). Towards Explainable Recommendation Via Bert-Guided Explanation Generator. 1–5. 3 indexed citations
19.
Liu, Weide, Chi Zhang, Guosheng Lin, & Fayao Liu. (2020). CRNet: Cross-Reference Networks for Few-Shot Segmentation. DR-NTU (Nanyang Technological University). 4164–4172. 150 indexed citations
20.
Jiang, Xiliang, et al.. (2011). Expression of CYP107Z13 in Streptomyces lividans TK54 catalyzes the oxidation of avermectin to 4″-oxo-avermectin. Applied Microbiology and Biotechnology. 93(5). 1957–1963. 7 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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