Liying Yang

684 total citations
43 papers, 395 citations indexed

About

Liying Yang is a scholar working on Molecular Biology, Cancer Research and Cognitive Neuroscience. According to data from OpenAlex, Liying Yang has authored 43 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Cancer Research and 12 papers in Cognitive Neuroscience. Recurrent topics in Liying Yang's work include EEG and Brain-Computer Interfaces (11 papers), Cancer Genomics and Diagnostics (11 papers) and Emotion and Mood Recognition (8 papers). Liying Yang is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), Cancer Genomics and Diagnostics (11 papers) and Emotion and Mood Recognition (8 papers). Liying Yang collaborates with scholars based in China, Japan and United States. Liying Yang's co-authors include Xiguo Yuan, Junying Zhang, Junbo Duan, Jun Bai, Yaoyao Li, Jiaao Yu, Zhe Li, Jianing Xi, Junliang Shang and Reo Maruyama and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and British Journal of Cancer.

In The Last Decade

Liying Yang

39 papers receiving 389 citations

Peers

Liying Yang

GENET

Yannis Assael United Kingdom

Guoli Ji China

Shibiao Wan United States

Basel Abu‐Jamous United Kingdom

Mingzhe Han China

Renqiang Min Canada

Devin Kwok Canada

Shashank Singh India

Li Ai China

Yannis Assael United Kingdom

Liying Yang

407 ×2.1

92 ×0.7

GENET

37 ×0.4

184 ×2.4

17 ×0.4

Citations per year, relative to Liying Yang Liying Yang (= 1×) peers Yannis Assael

Countries citing papers authored by Liying Yang

Since Specialization

Citations

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

Fields of papers citing papers by Liying Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liying Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Liying Yang. A scholar is included among the top collaborators of Liying Yang 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 Liying Yang. Liying Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yuan, Ping, et al.. (2024). Physiological and transcriptional analyses reveal the resistance mechanisms of kiwifruit (Actinidia chinensis) mutant with enhanced heat tolerance. Plant Physiology and Biochemistry. 207. 108331–108331. 4 indexed citations

Yang, Liying, et al.. (2024). Identification of lineage-specific epigenetic regulators FOXA1 and GRHL2 through chromatin accessibility profiling in breast cancer cell lines. Cancer Gene Therapy. 31(5). 736–745. 4 indexed citations

Yang, Liying, et al.. (2023). FOXD1 is associated with poor outcome and maintains tumor-promoting enhancer–gene programs in basal-like breast cancer. Frontiers in Oncology. 13. 1156111–1156111. 6 indexed citations

Zhang, Yueqi, et al.. (2023). Towards neuromorphic brain-computer interfaces: Model and circuit Co-design of the spiking EEGNet. Microelectronics Journal. 137. 105808–105808. 4 indexed citations

Ito, Kenji, Kohei Nagata, Sho Ohta, et al.. (2022). The oncogene-dependent resistance to reprogramming unveils cancer therapeutic targets. Cell Reports. 39(4). 110721–110721. 10 indexed citations

Wang, Shaoqiang, et al.. (2022). svBreak: A New Approach for the Detection of Structural Variant Breakpoints Based on Convolutional Neural Network. BioMed Research International. 2022(1). 7196040–7196040. 1 indexed citations

Yang, Liying, et al.. (2022). EEG emotion recognition via Identity based Multi-gate Mixture-of-Experts network. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 100. 2498–2505. 2 indexed citations

Nakadai, Tomoyoshi, et al.. (2022). Estrogen receptor α K303R mutation reorganizes its binding to forkhead box protein A1 regions and induces chromatin opening. Molecular Biology Reports. 50(2). 1209–1220. 1 indexed citations

Yang, Liying, et al.. (2022). An efficient EEGNet processor design for portable EEG-Based BCIs. Microelectronics Journal. 120. 105356–105356. 15 indexed citations

10.

Yang, Liying, et al.. (2022). Electroencephalogram Emotion Recognition Based on Individual Frontal Asymmetry Hypothesis. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 1994–2001. 2 indexed citations

11.

Takahashi, Yōko, Liying Yang, Tomoyoshi Nakadai, et al.. (2022). GRHL2 motif is associated with intratumor heterogeneity of cis-regulatory elements in luminal breast cancer. npj Breast Cancer. 8(1). 70–70. 18 indexed citations

12.

Fujita, Risa, Tatsuro Yamamoto, Yasuhiro Arimura, et al.. (2020). Nucleosome destabilization by nuclear non-coding RNAs. Communications Biology. 3(1). 60–60. 9 indexed citations

13.

Yuan, Xiguo, et al.. (2020). STIC: Predicting Single Nucleotide Variants and Tumor Purity in Cancer Genome. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(6). 2692–2701. 4 indexed citations

14.

Zhou, Shudong, Lijun Ou, Feng Liu, et al.. (2019). A novel single-base mutation in CaBRI1 confers dwarf phenotype and brassinosteroid accumulation in pepper. Molecular Genetics and Genomics. 295(2). 343–356. 12 indexed citations

15.

Li, Yaoyao, Xiguo Yuan, Junying Zhang, et al.. (2019). SM-RCNV: a statistical method to detect recurrent copy number variations in sequenced samples. Genes & Genomics. 41(5). 529–536. 4 indexed citations

16.

Yang, Liying, et al.. (2017). Analysis of breast cancer subtypes by AP-ISA biclustering. BMC Bioinformatics. 18(1). 481–481. 3 indexed citations

17.

Yang, Liying, et al.. (2016). Random Subspace Aggregation for Cancer Prediction with Gene Expression Profiles. BioMed Research International. 2016. 1–10. 10 indexed citations

18.

Yuan, Xiguo, et al.. (2012). TAGCNA: A Method to Identify Significant Consensus Events of Copy Number Alterations in Cancer. PLoS ONE. 7(7). e41082–e41082. 3 indexed citations

19.

Yang, Liying. (2011). Teaching Methods for Promoting Learning Interests in Introduction to Artificial Intelligence. Computer education.

20.

Yang, Liying, et al.. (2010). Minimum Configuration Insensitive Multifunctional Current-Mode Biquad Using Current Conveyors and All-Grounded Passive Components. SHILAP Revista de lepidopterología. 15 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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