Yuning Yang

401 citations
20 papers · 255 · h-index 9

Impact in

  • Cancer Research
    • Cancer-related molecular mechanisms research
  • Molecular Biology
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Machine Learning in Bioinformatics
    • Circular RNAs in diseases
    • Single-cell and spatial transcriptomics
    • RNA modifications and cancer
    • Protein Structure and Dynamics

Papers in

  • Molecular Biology 19
    • Single-cell and spatial transcriptomics 7
    • Machine Learning in Bioinformatics 7
    • RNA and protein synthesis mechanisms 7
    • RNA Research and Splicing 4
    • Protein Structure and Dynamics 4
    • Genomics and Phylogenetic Studies 2
  • Cancer Research 5
    • Cancer-related molecular mechanisms research 5
Co-authors
Ka‐Chun Wong (15 shared papers)Xiangtao Li (15 shared papers)Zhiqiang Ma (3 shared papers)Fuzhou Wang (5 shared papers)Yi Chang (3 shared papers)Haoran Zhu (3 shared papers)Yunhe Wang (3 shared papers)Zhaolei Zhang (2 shared papers)
Journals
Briefings in Bioinformatics (4 papers)Advanced Science (4 papers)Nature Communications (3 papers)Communications Biology (2 papers)PLoS Computational Biology (1 paper)
Partner nations
ChinaHong KongCanada

In The Last Decade

Yuning Yang

19 papers receiving 250 citations

Peers

Yuning Yang
Comparison fields: 5 of 32
  • Cancer Research 68
  • Molecular Biology 245
  • Biophysics 12
  • Computational Theory and Mathematics 18
  • Microbiology 3
Replace Stefan Budach with:
Stefan Budach Germany
Johannes Linder United States
Zixiang Pan China
Siguo Wang China
Qijin Yin China
Andreas Tjärnberg Sweden
Ali Oghabian Finland
Akshay Balsubramani United States
Vladimir Rynkov United States
Daniel Visentin United Kingdom
Yuning Yang relative to Stefan Budach Germany Stefan Budach's profile →
Citations per field
00.5×1.6×
Stefan Budach · 1×
Citations per year

Countries citing papers authored by Yuning Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yuning Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuning Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuning Yang Line = papers co-authored together Yuning Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
iCircRBP-DHN: identification of circRNA-RBP interaction sites using deep hierarchical network
Briefings in Bioinformatics ·Yuning Yang, Zilong Hou, Zhiqiang Ma, Xiangtao Li, Ka‐Chun Wong
202060
2
Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning
Communications Biology ·Zilong Hou, Yuning Yang, Zhiqiang Ma, Ka‐Chun Wong, Xiangtao Li
202335
3
Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA
Nature Communications ·Zhuohan Yu, Yanchi Su, Yifu Lu, Yuning Yang, Fuzhou Wang, Shixiong Zhang, Yi Chang, Ka‐Chun Wong, Xiangtao Li
202330
4
Dynamic characterization and interpretation for protein-RNA interactions across diverse cellular conditions using HDRNet
Nature Communications ·Haoran Zhu, Yuning Yang, Yunhe Wang, Fuzhou Wang, Yujian Huang, Yi Chang, Ka‐Chun Wong, Xiangtao Li
202326
5
HCRNet: high-throughput circRNA-binding event identification from CLIP-seq data using deep temporal convolutional network
Briefings in Bioinformatics ·Yuning Yang, Zilong Hou, Yansong Wang, Hongli Ma, Pingping Sun, Zhiqiang Ma, Ka‐Chun Wong, Xiangtao Li
202224
6
iDeepSubMito: identification of protein submitochondrial localization with deep learning
Briefings in Bioinformatics ·Zilong Hou, Yuning Yang, Hui Li, Ka‐Chun Wong, Xiangtao Li
202111
7
EDCNN: identification of genome-wide RNA-binding proteins using evolutionary deep convolutional neural network
Bioinformatics ·Yawei Wang, Yuning Yang, Zhiqiang Ma, Ka‐Chun Wong, Xiangtao Li
202110
8
Deciphering 3'UTR Mediated Gene Regulation Using Interpretable Deep Representation Learning
Advanced Science ·Yuning Yang, Gen Li, Kuan Pang, Wuxinhao Cao, Zhaolei Zhang, Xiangtao Li
20249
9
Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework
PLoS Computational Biology ·Yansong Wang, Zilong Hou, Yuning Yang, Ka‐Chun Wong, Xiangtao Li
20228
10
SOFB is a comprehensive ensemble deep learning approach for elucidating and characterizing protein-nucleic-acid-binding residues
Communications Biology ·Bin Zhang, Zilong Hou, Yuning Yang, Ka‐Chun Wong, Haoran Zhu, Xiangtao Li
20248
11
Accurate Spatial Heterogeneity Dissection and Gene Regulation Interpretation for Spatial Transcriptomics using Dual Graph Contrastive Learning
Advanced Science ·Zhuohan Yu, Yuning Yang, Xingjian Chen, Ka‐Chun Wong, Zhaolei Zhang, Yuming Zhao, Xiangtao Li
20248
12
Distribution‐Agnostic Deep Learning Enables Accurate Single‐Cell Data Recovery and Transcriptional Regulation Interpretation
Advanced Science ·Yanchi Su, Zhuohan Yu, Yuning Yang, Ka‐Chun Wong, Xiangtao Li
20247
13
Reliable Identification and Interpretation of Single‐Cell Molecular Heterogeneity and Transcriptional Regulation using Dynamic Ensemble Pruning
Advanced Science ·Yi Fan, Yunhe Wang, Fuzhou Wang, Lei Huang, Yuning Yang, Ka‐Chun Wong, Xiangtao Li
20235
14
An Improved Topology Prediction of Alpha-Helical Transmembrane Protein Based on Deep Multi-Scale Convolutional Neural Network
IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Yuning Yang, Jiawen Yu, Zhe Liu, Xi Wang, Han Wang, Zhiqiang Ma, Dong Xu
20204
15
DMCTOP: Topology Prediction of Alpha-Helical Transmembrane Protein Based on Deep Multi-Scale Convolutional Neural Network
Han Wang, Yuning Yang, Jiawen Yu, Xi Wang, Dawei Zhao, Dong Xu, Pingping Sun
20194
16
Topological identification and interpretation for single-cell epigenetic regulation elucidation in multi-tasks using scAGDE
Nature Communications ·Guoqian Hao, Fan Yi, Zhuohan Yu, Yanchi Su, Haoran Zhu, Fuzhou Wang, Xingjian Chen, Yuning Yang, Guohua Wang, Ka‐Chun Wong, Xiangtao Li
20252
17
Identification of haploinsufficient genes from epigenomic data using deep forest
Briefings in Bioinformatics ·Yuning Yang, Shaochuan Li, Yunhe Wang, Zhiqiang Ma, Ka‐Chun Wong, Xiangtao Li
20202
18
The influence of γ-aminobutyric acid production and fat content on the gel properties, protein conformation, and nutritional characteristics of fermented milk: Achieved through interactions with milk proteins
Food Chemistry ·Kangyong Zhang, Yang Cheng, Yuning Yang, Yuxing Li, Bailiang Li, Fei Liu
20251
19
Topological Identification and Interpretation for Single-cell Gene Regulation Elucidation across Multiple Platforms using scMGCA
Zenodo (CERN European Organization for Nuclear Research) ·Zhuohan Yu, Yanchi Su, Yifu Lu, Yuning Yang, Fuzhou Wang, Shixiong Zhang, Yi Chang, Ka‐Chun Wong, Xiangtao Li
20221
20
Aligned cross-modal integration and regulatory heterogeneity characterization of single-cell multiomic data with deep contrastive learning
Genome Medicine ·Y. H. Cheng, Yanchi Su, Yi Fan, Yuning Yang, Xingjian Chen, Fuzhou WANG, Ka-Chun Wong, Xiangtao Li
20260

About Yuning Yang

Yuning Yang is a scholar working on Molecular Biology, Cancer Research, Biophysics, Computational Theory and Mathematics and Physiology, having authored 20 papers that have together received 255 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Machine Learning in Bioinformatics (7 papers), RNA and protein synthesis mechanisms (7 papers), Cancer-related molecular mechanisms research (5 papers), Cell Image Analysis Techniques (4 papers), RNA Research and Splicing (4 papers), Protein Structure and Dynamics (4 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Cancer Research (68 citations), Molecular Biology (245 citations), Biophysics (12 citations), Computational Theory and Mathematics (18 citations) and Microbiology (3 citations). Yuning Yang has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Ka‐Chun Wong, Xiangtao Li, Zhiqiang Ma, Fuzhou Wang, Yi Chang, Haoran Zhu, Yunhe Wang, Zhaolei Zhang, Shixiong Zhang and Pingping Sun. Their work appears in journals such as Briefings in Bioinformatics, Advanced Science, Nature Communications, Communications Biology and PLoS Computational Biology.

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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