Liangli Zhen

2.1k total citations · 1 hit paper
41 papers, 1.4k citations indexed

About

Liangli Zhen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Liangli Zhen has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Liangli Zhen's work include Advanced Image and Video Retrieval Techniques (12 papers), Multimodal Machine Learning Applications (7 papers) and Video Analysis and Summarization (4 papers). Liangli Zhen is often cited by papers focused on Advanced Image and Video Retrieval Techniques (12 papers), Multimodal Machine Learning Applications (7 papers) and Video Analysis and Summarization (4 papers). Liangli Zhen collaborates with scholars based in Singapore, China and United Kingdom. Liangli Zhen's co-authors include Peng Hu, Dezhong Peng, Xu Wang, Xi Peng, Rick Siow Mong Goh, Joey Tianyi Zhou, Miqing Li, Xin Yao, Hongyuan Zhu and Jie Lin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Optics Express.

In The Last Decade

Liangli Zhen

39 papers receiving 1.3k 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.

Deep Supervised Cross-Modal Retrieval

2019 326 citations Liangli Zhen, Peng Hu et al. profile →

Peers

Liangli Zhen

CVPR

AI

SP

MT

CTM

Muhammad Atif Tahir United Kingdom

Ezequiel López‐Rubio Spain

Thanh Minh Nguyen Canada

Chong Fu China

Jinwen Ma China

Yisen Wang China

Sung Ju Hwang South Korea

Shan You China

Luping Ji China

Muhammad Atif Tahir United Kingdom

Liangli Zhen

704 ×0.9

CVPR

795 ×1.3

AI

130 ×0.9

SP

193 ×2.2

MT

47 ×0.5

CTM

Citations per year, relative to Liangli Zhen Liangli Zhen (= 1×) peers Muhammad Atif Tahir

Countries citing papers authored by Liangli Zhen

Since Specialization

Citations

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

Fields of papers citing papers by Liangli Zhen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangli Zhen

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

Wu, Yu-Huan, Yun Liu, Le Zhang, et al.. (2025). Low-Resolution Self-Attention for Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(9). 8180–8192.

2.

Tan, Tien‐En, Jie Yao, Liangli Zhen, et al.. (2025). Detection of Center-Involved Diabetic Macular Edema With Visual Impairment Using Multimodal Artificial Intelligence Algorithms. Ophthalmology Retina. 9(10). 955–963.

3.

Xue, Yu, Danilo Pelusi, Peng Chen, et al.. (2024). Neural Architecture Search with Progressive Evaluation and Subpopulation Preservation. IEEE Transactions on Evolutionary Computation. 29(5). 1678–1691. 9 indexed citations

4.

Wang, Zizhou, Yan Wang, Yangqin Feng, et al.. (2024). Continuous Disentangled Joint Space Learning for Domain Generalization. IEEE Transactions on Neural Networks and Learning Systems. 36(7). 13122–13134. 1 indexed citations

5.

Wang, Yan, Liangli Zhen, Tien‐En Tan, et al.. (2024). Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis. IEEE Transactions on Medical Imaging. 43(5). 1945–1957. 15 indexed citations

6.

Feng, Yangqin, Jordan Sim, Xinxing Xu, et al.. (2023). Deep Neural Network Augments Performance of Junior Residents in Diagnosing COVID-19 Pneumonia on Chest Radiographs. Diagnostics. 13(8). 1397–1397. 3 indexed citations

7.

Feng, Yangqin, Zizhou Wang, Xinxing Xu, et al.. (2022). Contrastive domain adaptation with consistency match for automated pneumonia diagnosis. Medical Image Analysis. 83. 102664–102664. 19 indexed citations

8.

Wang, Yan, Yangqin Feng, Lei Zhang, et al.. (2022). Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images. Medical Image Analysis. 81. 102535–102535. 59 indexed citations

9.

Zhang, Chi, et al.. (2022). Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning. IEEE Transactions on Big Data. 10(6). 742–751. 39 indexed citations

10.

Wang, Zhehui, Tao Luo, Miqing Li, et al.. (2021). Evolutionary Multi-Objective Model Compression for Deep Neural Networks. IEEE Computational Intelligence Magazine. 16(3). 10–21. 12 indexed citations

11.

Hu, Peng, Xi Peng, Hongyuan Zhu, et al.. (2021). Deep Semisupervised Multiview Learning With Increasing Views. IEEE Transactions on Cybernetics. 52(12). 12954–12965. 11 indexed citations

12.

Zhen, Liangli, et al.. (2021). Partially Encrypted Multi-Party Computation for Federated Learning. 828–835. 37 indexed citations

13.

Zhen, Liangli, Dezhong Peng, Wei Wang, & Xin Yao. (2020). Kernel truncated regression representation for robust subspace clustering. Information Sciences. 524. 59–76. 15 indexed citations

14.

Hu, Peng, Xi Peng, Hongyuan Zhu, et al.. (2020). Cross-modal discriminant adversarial network. Pattern Recognition. 112. 107734–107734. 21 indexed citations

15.

Zhen, Liangli, Peng Hu, Xi Peng, Rick Siow Mong Goh, & Joey Tianyi Zhou. (2020). Deep Multimodal Transfer Learning for Cross-Modal Retrieval. IEEE Transactions on Neural Networks and Learning Systems. 33(2). 798–810. 63 indexed citations

16.

Hu, Peng, Xi Peng, Hongyuan Zhu, et al.. (2020). Joint Versus Independent Multiview Hashing for Cross-View Retrieval. IEEE Transactions on Cybernetics. 51(10). 4982–4993. 25 indexed citations

17.

Zhen, Liangli, et al.. (2020). Adaptive stochastic parallel gradient descent approach for efficient fiber coupling. Optics Express. 28(9). 13141–13141. 32 indexed citations

18.

Hu, Peng, Xu Wang, Liangli Zhen, & Dezhong Peng. (2019). Separated Variational Hashing Networks for Cross-Modal Retrieval. 1721–1729. 27 indexed citations

19.

Zhen, Liangli, Miqing Li, Dezhong Peng, & Xin Yao. (2019). Objective reduction for visualising many-objective solution sets. Information Sciences. 512. 278–294. 13 indexed citations

20.

Chen, Peng, et al.. (2017). Underdetermined Blind Separation by Combining Sparsity and Independence of Sources. IEEE Access. 5. 21731–21742. 10 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.

Explore authors with similar magnitude of impact