Yaning Yang

559 total citations
19 papers, 317 citations indexed

About

Yaning Yang is a scholar working on Molecular Biology, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Yaning Yang has authored 19 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Artificial Intelligence and 4 papers in Biomedical Engineering. Recurrent topics in Yaning Yang's work include Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (6 papers) and Machine Learning in Bioinformatics (2 papers). Yaning Yang is often cited by papers focused on Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (6 papers) and Machine Learning in Bioinformatics (2 papers). Yaning Yang collaborates with scholars based in China, United States and Switzerland. Yaning Yang's co-authors include Wentian Li, Jürg Ott, Shaoliang Peng, Mark A. Levenstien, Zhaoying Xiang, Xiaojing Ma, Stephen J. Finch, Fei Li, Chad Haynes and Vahram Haroutunian and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Journal of Theoretical Biology.

In The Last Decade

Yaning Yang

18 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaning Yang China	9	186	67	51	44	19	19	317
Christian Tönsing Germany	6	215 1.2×	35 0.5×	33 0.6×	27 0.6×	10 0.5×	8	394
Helge Hass Germany	10	269 1.4×	36 0.5×	37 0.7×	20 0.5×	10 0.5×	11	403
Steffen Schaper Germany	7	170 0.9×	115 1.7×	62 1.2×	20 0.5×	13 0.7×	11	283
Marcus Rosenblatt Germany	9	160 0.9×	21 0.3×	22 0.4×	19 0.4×	10 0.5×	13	339
George Potamias Greece	12	119 0.6×	48 0.7×	33 0.6×	92 2.1×	5 0.3×	52	356
Dongyu Xue China	6	512 2.8×	59 0.9×	88 1.7×	51 1.2×	65 3.4×	7	619
Alexander Georgiev Sweden	10	321 1.7×	44 0.7×	18 0.4×	24 0.5×	8 0.4×	14	409
Ádám Arany Belgium	11	193 1.0×	22 0.3×	159 3.1×	49 1.1×	44 2.3×	24	378
Yuchi Qiu United States	12	264 1.4×	19 0.3×	134 2.6×	23 0.5×	19 1.0×	20	429

Countries citing papers authored by Yaning Yang

Since Specialization

Citations

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

Fields of papers citing papers by Yaning Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaning Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yaning Yang. A scholar is included among the top collaborators of Yaning 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 Yaning Yang. Yaning 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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19 of 19 papers shown

Yang, Yaning, et al.. (2024). An E-nose system for identification and quantification of hazardous gas mixtures using a combined strategy of CNNs and attentional mechanisms. Physica Scripta. 99(9). 96001–96001. 6 indexed citations

Yang, Yaning, et al.. (2024). Accordion-like ZIF-8/MoO3 composite gas sensor for highly selective and sensitive H2S detection. Ceramics International. 50(20). 38253–38262. 10 indexed citations

Yang, Yaning, et al.. (2023). Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery. Nature Machine Intelligence. 5(4). 445–456. 47 indexed citations

Xiang, Weiming, Yingbo Cui, Yaning Yang, et al.. (2022). MSVF: Multi-task Structure Variation Filter with Transfer Learning in High-throughput Sequencing. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 293–296.

Peng, Shaoliang, et al.. (2021). Efficiently recognition of vaginal micro-ecological environment based on Convolutional Neural Network. 1–6. 4 indexed citations

Wang, Xiaoqi, Yaning Yang, Kenli Li, et al.. (2021). BioERP: biomedical heterogeneous network-based self-supervised representation learning approach for entity relationship predictions. Bioinformatics. 37(24). 4793–4800. 17 indexed citations

Yang, Yaning, et al.. (2021). ParaPindel: a scalable coordinated parallel detection framework for human genome-wide structural variation. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 574–579. 2 indexed citations

Zhang, Zeyu, Yaning Yang, Hongyan Fang, et al.. (2020). A forward selection algorithm to identify mutually exclusive alterations in cancer studies. Journal of Human Genetics. 66(5). 509–518. 3 indexed citations

Zhang, Tao, et al.. (2020). Research on brake pad surface defects detection based on deep learning. 7310–7315. 3 indexed citations

10.

Sun, Zhe, Shaoliang Peng, Yaning Yang, Xiaoqi Wang, & Fei Li. (2019). A General Fine-tuned Transfer Learning Model for Predicting Clinical Task Acrossing Diverse EHRs Datasets. 490–495. 5 indexed citations

11.

Peng, Shaoliang, Yaning Yang, Wei Liu, Fei Li, & Xiangke Liao. (2019). Discriminant Projection Shared Dictionary Learning for Classification of Tumors Using Gene Expression Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(4). 1464–1473. 3 indexed citations

12.

Wang, Diya, Qiang Su, Xinyu Zhang, et al.. (2018). Evaluation of accuracy of automatic out-of-plane respiratory gating for DCEUS-based quantification using principal component analysis. Computerized Medical Imaging and Graphics. 70. 155–164. 3 indexed citations

13.

Hua, Xing, Han Zhang, Hong Zhang, Yaning Yang, & Anthony Y. C. Kuk. (2010). Testing multiple gene interactions by the ordered combinatorial partitioning method in case–control studies. Bioinformatics. 26(15). 1871–1878. 10 indexed citations

14.

Xu, Jinfeng, Yaning Yang, & Jürg Ott. (2005). Survival analysis of microarray expression data by transformation models. Computational Biology and Chemistry. 29(2). 91–94. 6 indexed citations

15.

Gordon, Derek, Yaning Yang, Chad Haynes, et al.. (2004). Increasing Power for Tests of Genetic Association in the Presence of Phenotype and/or Genotype Error by Use of Double-Sampling. Statistical Applications in Genetics and Molecular Biology. 3(1). 1–32. 56 indexed citations

16.

Levenstien, Mark A., Yaning Yang, & Jürg Ott. (2003). Statistical significance for hierarchical clustering in genetic association and microarray expression studies. BMC Bioinformatics. 4(1). 62–62. 27 indexed citations

17.

Yang, Yaning, Josephine Hoh, Clemens Broger, et al.. (2003). Statistical Methods for Analyzing Microarray Feature Data with Replications. Journal of Computational Biology. 10(2). 157–169. 15 indexed citations

18.

Xiang, Zhaoying, et al.. (2003). Microarray expression profiling: analysis and applications.. PubMed. 6(3). 384–95. 36 indexed citations

19.

Li, Wentian & Yaning Yang. (2002). Zipf's Law in Importance of Genes for Cancer Classification Using Microarray Data. Journal of Theoretical Biology. 219(4). 539–551. 64 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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