Yanbu Guo

1.3k total citations · 1 hit paper
35 papers, 1.0k citations indexed

About

Yanbu Guo is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Yanbu Guo has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Computational Theory and Mathematics. Recurrent topics in Yanbu Guo's work include Machine Learning in Bioinformatics (10 papers), Computational Drug Discovery Methods (8 papers) and RNA and protein synthesis mechanisms (8 papers). Yanbu Guo is often cited by papers focused on Machine Learning in Bioinformatics (10 papers), Computational Drug Discovery Methods (8 papers) and RNA and protein synthesis mechanisms (8 papers). Yanbu Guo collaborates with scholars based in China, South Korea and Australia. Yanbu Guo's co-authors include Dongming Zhou, Jinde Cao, Weihua Li, Rencan Nie, Bingyi Wang, Ruichao Hou, Xiaoli Ruan, Dong Liu, Lei Xiong and Chaoyang Li and has published in prestigious journals such as Expert Systems with Applications, BMC Bioinformatics and Pattern Recognition.

In The Last Decade

Yanbu Guo

33 papers receiving 988 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

LightingNet: An Integrated Learning Method for Low-Light Image Enhancement

2023 108 citations Dongming Zhou, Jinde Cao et al. IEEE Transactions on Computational Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yanbu Guo China	13	353	302	240	163	109	35	1.0k
Zhenhua Feng China	22	897 2.5×	73 0.2×	127 0.5×	197 1.2×	170 1.6×	90	1.3k
Hongpeng Wang China	18	484 1.4×	73 0.2×	263 1.1×	149 0.9×	178 1.6×	77	1.0k
Zunlei Feng China	14	762 2.2×	84 0.3×	61 0.3×	281 1.7×	98 0.9×	83	1.3k
Hao Feng China	15	412 1.2×	155 0.5×	144 0.6×	120 0.7×	96 0.9×	90	1.0k
Le Li China	15	322 0.9×	66 0.2×	55 0.2×	157 1.0×	65 0.6×	108	889
Ya Li China	13	372 1.1×	60 0.2×	70 0.3×	571 3.5×	50 0.5×	44	1.1k
Xiao Zhou China	18	753 2.1×	205 0.7×	54 0.2×	139 0.9×	34 0.3×	114	1.2k
Siti Noraini Sulaiman Malaysia	15	379 1.1×	137 0.5×	57 0.2×	369 2.3×	24 0.2×	106	932

Countries citing papers authored by Yanbu Guo

Since Specialization

Citations

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

Fields of papers citing papers by Yanbu Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanbu Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yanbu Guo. A scholar is included among the top collaborators of Yanbu Guo 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 Yanbu Guo. Yanbu Guo 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

Guo, Yanbu, et al.. (2025). Deep gate information bottleneck-based prediction model for complex disease-related micro-ribonucleic acids via heterogeneous biological networks. Engineering Applications of Artificial Intelligence. 156. 111222–111222. 3 indexed citations

Guo, Yanbu, Hongqiu Zhu, Xiangjun Xin, Chaoyang Li, & Jinde Cao. (2025). Deep semantic and structural feature-aware drug repositioning with heterogeneous frequency-domain contrastive regularization learning. Engineering Applications of Artificial Intelligence. 163. 113135–113135.

Zhao, Xia, Yanbu Guo, Bingyi Wang, & Weihua Li. (2025). CKDTA: A chemical knowledge-enhanced framework for drug–target affinity prediction. Journal of Computational Science. 92. 102706–102706.

Li, Chaoyang, Yanbu Guo, Mianxiong Dong, et al.. (2023). Efficient Certificateless Authenticated Key Agreement for Blockchain-Enabled Internet of Medical Things. Computers, materials & continua/Computers, materials & continua (Print). 75(1). 2043–2059. 6 indexed citations

Li, Pu, et al.. (2023). EPIC: An epidemiological investigation of COVID-19 dataset for Chinese named entity recognition. Information Processing & Management. 61(1). 103541–103541. 5 indexed citations

Li, Chaoyang, et al.. (2023). Efficient Group Blind Signature for Medical Data Anonymous Authentication in Blockchain-Enabled IoMT. Computers, materials & continua/Computers, materials & continua (Print). 76(1). 591–606. 2 indexed citations

Guo, Yanbu, Dongming Zhou, Xiaoli Ruan, & Jinde Cao. (2023). Variational gated autoencoder-based feature extraction model for inferring disease-miRNA associations based on multiview features. Neural Networks. 165. 491–505. 91 indexed citations

Zhang, Suzhi, Chenglin Li, Pu Li, et al.. (2023). A Domain-Oriented Entity Alignment Approach Based on Filtering Multi-Type Graph Neural Networks. Applied Sciences. 13(16). 9237–9237. 1 indexed citations

Zhou, Dongming, et al.. (2023). LightingNet: An Integrated Learning Method for Low-Light Image Enhancement. IEEE Transactions on Computational Imaging. 9. 29–42. 108 indexed citations breakdown →

10.

Guo, Yanbu, et al.. (2022). Deep Effective k-mer representation learning for polyadenylation signal prediction via co-occurrence embedding. Knowledge-Based Systems. 256. 109887–109887. 2 indexed citations

11.

Liu, Yanyu, et al.. (2022). TSE_Fuse: Two stage enhancement method using attention mechanism and feature-linking model for infrared and visible image fusion. Digital Signal Processing. 123. 103387–103387. 12 indexed citations

12.

Li, Weihua, et al.. (2022). Learning spatiotemporal embedding with gated convolutional recurrent networks for translation initiation site prediction. Pattern Recognition. 136. 109234–109234. 82 indexed citations

13.

Guo, Yanbu, Chaoyang Li, Dongming Zhou, Jinde Cao, & Hui Liang. (2022). Context-aware dynamic neural computational models for accurate Poly(A) signal prediction. Neural Networks. 152. 287–299. 7 indexed citations

14.

Guo, Yanbu, Dongming Zhou, Weihua Li, & Jinde Cao. (2022). Deep multi-scale Gaussian residual networks for contextual-aware translation initiation site recognition. Expert Systems with Applications. 207. 118004–118004. 9 indexed citations

15.

Zhou, Dongming, et al.. (2021). A Deep and Supervised Atrous Convolutional Model for Multi-Focus Image Fusion. IEEE Sensors Journal. 21(20). 23069–23084. 10 indexed citations

16.

Liu, Yanyu, Ruichao Hou, Dongming Zhou, et al.. (2020). Multimodal medical image fusion based on the spectral total variation and local structural patch measurement. International Journal of Imaging Systems and Technology. 31(1). 391–411. 11 indexed citations

17.

Ruan, Xiaoli, Dongming Zhou, Rencan Nie, & Yanbu Guo. (2020). Predictions of Apoptosis Proteins by Integrating Different Features Based on Improving Pseudo‐Position‐Specific Scoring Matrix. BioMed Research International. 2020(1). 4071508–4071508. 6 indexed citations

18.

Guo, Yanbu, et al.. (2020). Attentive gated neural networks for identifying chromatin accessibility. Neural Computing and Applications. 32(19). 15557–15571. 4 indexed citations

19.

Guo, Yanbu, Weihua Li, Bingyi Wang, Huiqing Liu, & Dongming Zhou. (2019). DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction. BMC Bioinformatics. 20(1). 341–341. 71 indexed citations

20.

Guo, Yanbu, Bingyi Wang, Weihua Li, & Bei Yang. (2018). Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks. Journal of Bioinformatics and Computational Biology. 16(5). 1850021–1850021. 49 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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