Liyang Liu

1.2k total citations
30 papers, 805 citations indexed

About

Liyang Liu is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Liyang Liu has authored 30 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Liyang Liu's work include Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Speech and Audio Processing (4 papers). Liyang Liu is often cited by papers focused on Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Speech and Audio Processing (4 papers). Liyang Liu collaborates with scholars based in China, Australia and United States. Liyang Liu's co-authors include Lei Wei, Xiaowo Wang, Xuegong Zhang, Haochen Wang, Wei Zhang, Zhanghui Kuang, Shao Li, Yimin Chen, Ye Wang and Shuailin Li and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Scientific Reports.

In The Last Decade

Liyang Liu

28 papers receiving 793 citations

Peers

Liyang Liu

CVPR

ECOLO

CAM

Siow‐Wee Chang Malaysia

Wei‐Chun Kao Taiwan

Ning Chen China

Changdong Wang China

Hanwen Huang United States

Wei Peng China

Xiaoli Lin China

Rui Guo China

Qianyi Zhang China

Yongjie Xu China

Siow‐Wee Chang Malaysia

Liyang Liu

126 ×0.4

57 ×0.3

CVPR

176 ×1.2

47 ×0.6

ECOLO

15 ×0.2

CAM

Citations per year, relative to Liyang Liu Liyang Liu (= 1×) peers Siow‐Wee Chang

Countries citing papers authored by Liyang Liu

Since Specialization

Citations

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

Fields of papers citing papers by Liyang Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyang Liu

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

Li, Jiaqi, et al.. (2025). Modeling and designing enhancers by introducing and harnessing transcription factor binding units. Nature Communications. 16(1). 1469–1469. 5 indexed citations

Yang, Xinting, et al.. (2024). Medium- and Long-Term Distributed Photovoltaic Power Prediction Based on Multiple Time Series Feature and Multiple-Model Fusion. Sustainability. 16(20). 8806–8806.

Phan, Vu Minh Hieu, Yutong Xie, Yuankai Qi, et al.. (2024). Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-Training Framework. 11492–11501. 8 indexed citations

Zhang, Bowen, Liyang Liu, Vu Minh Hieu Phan, et al.. (2023). SegViT v2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers. International Journal of Computer Vision. 132(4). 1126–1147. 24 indexed citations

Wang, Haochen, Hanwen Xu, Lei Wei, et al.. (2023). Deep flanking sequence engineering for efficient promoter design using DeepSEED. Nature Communications. 14(1). 6309–6309. 46 indexed citations

Liu, Liyang, Bochao Wang, Zhanghui Kuang, et al.. (2021). GenDet: Meta Learning to Generate Detectors From Few Shots. IEEE Transactions on Neural Networks and Learning Systems. 33(8). 3448–3460. 17 indexed citations

Liu, Liyang, Zhanghui Kuang, Jing‐Hao Xue, et al.. (2021). Towards Impartial Multi-task Learning. UCL Discovery (University College London). 16 indexed citations

Wang, Ye, Haochen Wang, Lei Wei, et al.. (2020). Synthetic promoter design in Escherichia coli based on a deep generative network. Nucleic Acids Research. 48(12). 6403–6412. 134 indexed citations

Liu, Liyang, Zhanghui Kuang, Yimin Chen, et al.. (2020). IncDet: In Defense of Elastic Weight Consolidation for Incremental Object Detection. IEEE Transactions on Neural Networks and Learning Systems. 32(6). 2306–2319. 50 indexed citations

10.

Zhao, Zhen, Qiongye Dong, Xuehui Liu, et al.. (2019). Dynamic transcriptome profiling in DNA damage-induced cellular senescence and transient cell-cycle arrest. Genomics. 112(2). 1309–1317. 28 indexed citations

11.

Wang, Nan, Liyang Liu, Xin Jiang, Daowei Li, & Xiaohong Chen. (2019). Acute multiple cerebral infarction combined with cerebral microhemorrhage in Polycythemia vera: A case report. Experimental and Therapeutic Medicine. 18(4). 2949–2955. 6 indexed citations

12.

Liu, Liyang, et al.. (2019). Analysis and improvement of neighborhood topology of particle swarm optimization. Journal of Computational Methods in Sciences and Engineering. 19(4). 955–968. 5 indexed citations

13.

Yang, Mingran, Shiyu Du, Junfeng Li, et al.. (2018). Tongue coating microbiome as a potential biomarker for gastritis including precancerous cascade. Protein & Cell. 10(7). 496–509. 85 indexed citations

14.

Zhang, Wei, Xueya Zhou, Liyang Liu, et al.. (2017). Identification and functional analysis of a novel LHX1 mutation associated with congenital absence of the uterus and vagina. Oncotarget. 8(5). 8785–8790. 12 indexed citations

15.

Chen, Hui, Xueya Zhou, Jing Wang, et al.. (2016). Exome Sequencing and Gene Prioritization Correct Misdiagnosis in a Chinese Kindred with Familial Amyloid Polyneuropathy. Scientific Reports. 6(1). 26362–26362. 9 indexed citations

16.

Li, Junfeng, Junyi Zhang, Liyang Liu, et al.. (2015). Annual periodicity in planktonic bacterial and archaeal community composition of eutrophic Lake Taihu. Scientific Reports. 5(1). 15488–15488. 66 indexed citations

17.

Fan, Miao, Liyang Liu, & Weifeng Li. (2015). Speech Dereverberation Based on Sparse Matrix Decomposition. 1 indexed citations

18.

Lu, Yu, Xueya Zhou, Jing Cheng, et al.. (2014). Resolving the genetic heterogeneity of prelingual hearing loss within one family: Performance comparison and application of two targeted next generation sequencing approaches. Journal of Human Genetics. 59(11). 599–607. 12 indexed citations

19.

Liu, Liyang, et al.. (2014). Speech enhancement via low-rank matrix decomposition and image based masking. 3. 389–392.

20.

Liang, Xujun, Yang Chen, Tao Ma, et al.. (2012). Integrating next-generation sequencing and traditional tongue diagnosis to determine tongue coating microbiome. Scientific Reports. 2(1). 936–936. 118 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