Yuhua Yao

1.3k total citations
65 papers, 982 citations indexed

About

Yuhua Yao is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Yuhua Yao has authored 65 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Epidemiology. Recurrent topics in Yuhua Yao's work include Machine Learning in Bioinformatics (37 papers), Fractal and DNA sequence analysis (25 papers) and RNA and protein synthesis mechanisms (22 papers). Yuhua Yao is often cited by papers focused on Machine Learning in Bioinformatics (37 papers), Fractal and DNA sequence analysis (25 papers) and RNA and protein synthesis mechanisms (22 papers). Yuhua Yao collaborates with scholars based in China, United States and Hong Kong. Yuhua Yao's co-authors include Xuying Nan, Tianming Wang, Pingan He, Qi Dai, Yaozhou Zhang, Jialiang Yang, Bo Liao, Zhong Li, Binbin Ji and Chun Li and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Yuhua Yao

63 papers receiving 947 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuhua Yao China 20 791 107 60 58 46 65 982
Xosé M. Fernández United Kingdom 19 637 0.8× 74 0.7× 84 1.4× 32 0.6× 41 0.9× 41 1.0k
Zimei Zhang China 10 473 0.6× 113 1.1× 25 0.4× 56 1.0× 21 0.5× 26 621
Jie Tan United States 11 498 0.6× 67 0.6× 93 1.6× 30 0.5× 26 0.6× 23 742
Kuo-Bin Li Singapore 13 801 1.0× 185 1.7× 78 1.3× 34 0.6× 17 0.4× 18 1.0k
Joseph Mellor United States 15 838 1.1× 89 0.8× 23 0.4× 132 2.3× 18 0.4× 33 1.1k
Jongsun Jung South Korea 12 413 0.5× 65 0.6× 49 0.8× 26 0.4× 38 0.8× 25 726
Hasan Zulfiqar China 15 677 0.9× 93 0.9× 53 0.9× 16 0.3× 35 0.8× 27 815
Li Song United States 16 431 0.5× 91 0.9× 21 0.3× 98 1.7× 37 0.8× 34 961

Countries citing papers authored by Yuhua Yao

Since Specialization
Citations

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

Fields of papers citing papers by Yuhua Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhua Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Yuhua Yao. A scholar is included among the top collaborators of Yuhua Yao 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 Yuhua Yao. Yuhua Yao 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
1.
Wang, Yanfeng, et al.. (2025). Landscape of the intratumoral microbiota acting on the tumor immune microenvironment in LUAD and LUSC. Physiological Genomics. 57(4). 279–291. 1 indexed citations
2.
3.
Zheng, Peijie, et al.. (2022). LangMoDHS: A deep learning language model for predicting DNase I hypersensitive sites in mouse genome. Mathematical Biosciences & Engineering. 20(1). 1037–1057. 1 indexed citations
4.
Zhang, Hongqi, et al.. (2022). Convolution neural network with batch normalization and inception-residual modules for Android malware classification. Scientific Reports. 12(1). 13996–13996. 15 indexed citations
5.
Fang, Fang, et al.. (2022). Single-cell RNA-seq data analysis using graph autoencoders and graph attention networks. Frontiers in Genetics. 13. 1003711–1003711. 5 indexed citations
6.
Yao, Yuhua, et al.. (2020). IMDAILM: Inferring miRNA-Disease Association by Integrating lncRNA and miRNA Data. IEEE Access. 8. 16517–16527. 11 indexed citations
7.
Li, Zhong, et al.. (2020). ACNNT3: Attention-CNN Framework for Prediction of Sequence-Based Bacterial Type III Secreted Effectors. Computational and Mathematical Methods in Medicine. 2020. 1–7. 10 indexed citations
8.
Zhu, Wen, et al.. (2020). ALSBMF: Predicting lncRNA-Disease Associations by Alternating Least Squares Based on Matrix Factorization. IEEE Access. 8. 26190–26198. 4 indexed citations
9.
Li, Zhong, et al.. (2020). Protein Contact Map Prediction Based on ResNet and DenseNet. BioMed Research International. 2020(1). 7584968–7584968. 24 indexed citations
10.
11.
He, Pingan, et al.. (2019). An Analysis Model of Protein Mass Spectrometry Data and its Application. Current Bioinformatics. 15(9). 1010–1016. 1 indexed citations
12.
Li, Manzhi, Haixia Long, Hongtao Wang, et al.. (2018). Disease Sequences High-Accuracy Alignment Based on the Precision Medicine. BioMed Research International. 2018. 1–9. 3 indexed citations
13.
Dai, Qi, et al.. (2017). Comparative transcriptome analysis of the different tissues between the cultivated and wild tomato. PLoS ONE. 12(3). e0172411–e0172411. 19 indexed citations
14.
Wang, Cong, et al.. (2015). Prediction of High-Risk Types of Human Papillomaviruses Using Statistical Model of Protein “Sequence Space”. Computational and Mathematical Methods in Medicine. 2015. 1–9. 7 indexed citations
15.
Cao, Jiajia, et al.. (2015). A New Prediction Strategy for Protein Structural Classes Using Protein Sequence-Structure Features. Journal of Computational and Theoretical Nanoscience. 12(10). 3023–3027. 1 indexed citations
16.
Chen, Gang, et al.. (2014). Preparation of mixed stationary phase of cellulose and polysiloxane ionic liquid for gas chromatography. Chinese Journal of Chromatography. 32(10). 1117–1117. 2 indexed citations
17.
Nie, Zuoming, Fang Zhou, Dan Li, et al.. (2013). RIP-seq of BmAgo2-associated small RNAs reveal various types of small non-coding RNAs in the silkworm, Bombyx mori. BMC Genomics. 14(1). 661–661. 35 indexed citations
18.
Dai, Qi, Xiaoqing Liu, Lihua Li, et al.. (2009). Using Gaussian model to improve biological sequence comparison. Journal of Computational Chemistry. 31(2). 351–361. 5 indexed citations
19.
Yao, Yuhua, Qi Dai, Ling Li, et al.. (2009). Similarity/dissimilarity studies of protein sequences based on a new 2D graphical representation. Journal of Computational Chemistry. 31(5). 1045–1052. 39 indexed citations
20.
Yao, Yuhua, Bo Liao, & Tianming Wang. (2005). A 2D graphical representation of RNA secondary structures and the analysis of similarity/dissimilarity based on it. Journal of Molecular Structure THEOCHEM. 755(1-3). 131–136. 21 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

Breakdown of academic impact, for papers by Xosé M. Fernández Breakdown of academic impact, for papers by Zimei Zhang Breakdown of academic impact, for papers by Jie Tan Breakdown of academic impact, for papers by Kuo-Bin Li Breakdown of academic impact, for papers by Joseph Mellor Breakdown of academic impact, for papers by Jongsun Jung Breakdown of academic impact, for papers by Hasan Zulfiqar Breakdown of academic impact, for papers by Li Song
Rankless by CCL
2026