Yuning Yang

401 total citations
20 papers, 255 citations indexed

About

Yuning Yang is a scholar working on Molecular Biology, Cancer Research and Biophysics. According to data from OpenAlex, Yuning Yang has authored 20 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Biophysics. Recurrent topics in Yuning Yang's work include Machine Learning in Bioinformatics (7 papers), Single-cell and spatial transcriptomics (7 papers) and RNA and protein synthesis mechanisms (7 papers). Yuning Yang is often cited by papers focused on Machine Learning in Bioinformatics (7 papers), Single-cell and spatial transcriptomics (7 papers) and RNA and protein synthesis mechanisms (7 papers). Yuning Yang collaborates with scholars based in China, Hong Kong and Canada. Yuning Yang's co-authors include Ka‐Chun Wong, Xiangtao Li, Zhiqiang Ma, Fuzhou Wang, Yi Chang, Haoran Zhu, Yunhe Wang, Pingping Sun, Yansong Wang and Hongli Ma and has published in prestigious journals such as Nature Communications, Bioinformatics and Food Chemistry.

In The Last Decade

Yuning Yang

19 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuning Yang China 9 245 68 18 14 12 20 255
Siguo Wang China 7 210 0.9× 22 0.3× 16 0.9× 15 1.1× 5 0.4× 20 231
Stefan Budach Germany 4 209 0.9× 51 0.8× 32 1.8× 36 2.6× 9 0.8× 5 245
Zixiang Pan China 5 166 0.7× 33 0.5× 16 0.9× 42 3.0× 24 2.0× 6 221
Johannes Linder United States 9 311 1.3× 25 0.4× 19 1.1× 20 1.4× 16 1.3× 13 382
Andreas Tjärnberg Sweden 10 215 0.9× 23 0.3× 17 0.9× 7 0.5× 10 0.8× 15 243
Qijin Yin China 9 217 0.9× 24 0.4× 70 3.9× 12 0.9× 19 1.6× 11 267
Ali Oghabian Finland 6 201 0.8× 58 0.9× 5 0.3× 15 1.1× 4 0.3× 11 243
Akshay Balsubramani United States 6 162 0.7× 26 0.4× 6 0.3× 11 0.8× 8 0.7× 11 208
Kenong Su United States 7 164 0.7× 48 0.7× 6 0.3× 10 0.7× 27 2.3× 8 183
Dustin Olley United States 5 209 0.9× 26 0.4× 22 1.2× 29 2.1× 3 0.3× 5 261

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-authorship network of co-authors of Yuning Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuning Yang. A scholar is included among the top collaborators of Yuning 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 Yuning Yang. Yuning Yang 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
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Hao, Guoqian, Fan Yi, Haoran Zhu, et al.. (2025). Topological identification and interpretation for single-cell epigenetic regulation elucidation in multi-tasks using scAGDE. Nature Communications. 16(1). 1691–1691. 2 indexed citations
4.
Yang, Yuning, et al.. (2024). Distribution‐Agnostic Deep Learning Enables Accurate Single‐Cell Data Recovery and Transcriptional Regulation Interpretation. Advanced Science. 11(16). e2307280–e2307280. 7 indexed citations
5.
Yang, Yuning, et al.. (2024). Deciphering 3'UTR Mediated Gene Regulation Using Interpretable Deep Representation Learning. Advanced Science. 11(39). e2407013–e2407013. 9 indexed citations
6.
Yang, Yuning, et al.. (2024). SOFB is a comprehensive ensemble deep learning approach for elucidating and characterizing protein-nucleic-acid-binding residues. Communications Biology. 7(1). 679–679. 8 indexed citations
7.
Yang, Yuning, Xingjian Chen, Ka‐Chun Wong, et al.. (2024). Accurate Spatial Heterogeneity Dissection and Gene Regulation Interpretation for Spatial Transcriptomics using Dual Graph Contrastive Learning. Advanced Science. 12(3). e2410081–e2410081. 8 indexed citations
8.
Yang, Yuning, et al.. (2023). Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning. Communications Biology. 6(1). 73–73. 35 indexed citations
9.
Zhu, Haoran, Yuning Yang, Yunhe Wang, et al.. (2023). Dynamic characterization and interpretation for protein-RNA interactions across diverse cellular conditions using HDRNet. Nature Communications. 14(1). 6824–6824. 26 indexed citations
10.
Yang, Yuning, Fuzhou Wang, Shixiong Zhang, et al.. (2023). Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA. Nature Communications. 14(1). 400–400. 30 indexed citations
11.
Fan, Yi, Yunhe Wang, Fuzhou Wang, et al.. (2023). Reliable Identification and Interpretation of Single‐Cell Molecular Heterogeneity and Transcriptional Regulation using Dynamic Ensemble Pruning. Advanced Science. 10(22). e2205442–e2205442. 5 indexed citations
12.
Wang, Yansong, et al.. (2022). Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework. PLoS Computational Biology. 18(12). e1010779–e1010779. 8 indexed citations
13.
Yang, Yuning, Fuzhou Wang, Shixiong Zhang, et al.. (2022). Topological Identification and Interpretation for Single-cell Gene Regulation Elucidation across Multiple Platforms using scMGCA. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
14.
Yang, Yuning, Yansong Wang, Hongli Ma, et al.. (2022). HCRNet: high-throughput circRNA-binding event identification from CLIP-seq data using deep temporal convolutional network. Briefings in Bioinformatics. 23(2). 24 indexed citations
15.
Wang, Yawei, et al.. (2021). EDCNN: identification of genome-wide RNA-binding proteins using evolutionary deep convolutional neural network. Bioinformatics. 38(3). 678–686. 10 indexed citations
16.
Yang, Yuning, et al.. (2021). iDeepSubMito: identification of protein submitochondrial localization with deep learning. Briefings in Bioinformatics. 22(6). 11 indexed citations
17.
Yang, Yuning, Jiawen Yu, Zhe Liu, et al.. (2020). 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. 19(1). 295–304. 4 indexed citations
18.
Yang, Yuning, et al.. (2020). Identification of haploinsufficient genes from epigenomic data using deep forest. Briefings in Bioinformatics. 22(5). 2 indexed citations
19.
Yang, Yuning, et al.. (2020). iCircRBP-DHN: identification of circRNA-RBP interaction sites using deep hierarchical network. Briefings in Bioinformatics. 22(4). 60 indexed citations
20.

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

Breakdown of academic impact, for papers by Siguo Wang Breakdown of academic impact, for papers by Stefan Budach Breakdown of academic impact, for papers by Zixiang Pan Breakdown of academic impact, for papers by Johannes Linder Breakdown of academic impact, for papers by Andreas Tjärnberg Breakdown of academic impact, for papers by Qijin Yin Breakdown of academic impact, for papers by Ali Oghabian Breakdown of academic impact, for papers by Akshay Balsubramani Breakdown of academic impact, for papers by Kenong Su Breakdown of academic impact, for papers by Dustin Olley
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