Siguo Wang

401 citations
20 papers · 231 · h-index 7

Impact in

  • Molecular Biology
    • Genomics and Chromatin Dynamics
    • Machine Learning in Bioinformatics
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Gene expression and cancer classification
    • RNA Research and Splicing
    • Bioinformatics and Genomic Networks
  • Health Informatics

Papers in

  • Molecular Biology 19
    • Machine Learning in Bioinformatics 11
    • RNA and protein synthesis mechanisms 9
    • Genomics and Chromatin Dynamics 9
    • Bioinformatics and Genomic Networks 3
    • Single-cell and spatial transcriptomics 2
    • RNA Research and Splicing 2
  • Cancer Research 3
    • Cancer-related molecular mechanisms research 2
Co-authors
Qinhu Zhang (17 shared papers)Ying He (8 shared papers)Zhan‐Heng Chen (8 shared papers)Zhen Shen (4 shared papers)De-Shuang Huang (10 shared papers)De-Shuang Huang (1 shared paper)Qi Liu (1 shared paper)Xiujuan Lei (2 shared papers)
Journals
IEEE Journal of Biomedical and Health Informatics (3 papers)Briefings in Bioinformatics (3 papers)PLoS Computational Biology (2 papers)BMC Bioinformatics (1 paper)Bioinformatics (1 paper)
Partner nations
ChinaSouth KoreaMacao

In The Last Decade

Siguo Wang

20 papers receiving 224 citations

Peers

Siguo Wang
Comparison fields: 5 of 40
  • Molecular Biology 210
  • Health Informatics 4
  • Cancer Research 22
  • Computational Theory and Mathematics 16
  • Biophysics 5
Replace Kristian Davidsen with:
Kristian Davidsen United States
CJ Barberan United States
Zixiang Pan China
Theofanis Karaletsos United States
Corrado Pancotti Italy
Sarah ElShal Belgium
Zheng-Xing Guan China
Zhuoxing Shi China
Luís Augusto Eijy Nagai Japan
Pooya Zakeri Belgium
Siguo Wang relative to Kristian Davidsen United States Kristian Davidsen's profile →
Citations per field
00.5×1.5×2×
Kristian Davidsen · 1×
Citations per year

Countries citing papers authored by Siguo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Siguo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Siguo Wang, 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 Siguo Wang Line = papers co-authored together Siguo Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
A survey on deep learning in DNA/RNA motif mining
Briefings in Bioinformatics ·Ying He, Zhen Shen, Qinhu Zhang, Siguo Wang, De-Shuang Huang
202063
2
Locating transcription factor binding sites by fully convolutional neural network
Briefings in Bioinformatics ·Qinhu Zhang, Siguo Wang, Zhan‐Heng Chen, Ying He, Qi Liu, De-Shuang Huang
202042
3
Predicting transcription factor binding sites using DNA shape features based on shared hybrid deep learning architecture
Molecular Therapy — Nucleic Acids ·Siguo Wang, Qinhu Zhang, Zhen Shen, Ying He, Zhan‐Heng Chen, Jianqiang Li, De-Shuang Huang
202139
4
Base-resolution prediction of transcription factor binding signals by a deep learning framework
PLoS Computational Biology ·Qinhu Zhang, Ying He, Siguo Wang, Zhan‐Heng Chen, Zhenhao Guo, Zhen Cui, Qi Liu, De-Shuang Huang
202216
5
Identification of Essential Proteins Based on Improved HITS Algorithm
Genes ·Xiujuan Lei, Siguo Wang, Fang‐Xiang Wu
201915
6
Computational prediction and characterization of cell-type-specific and shared binding sites
Bioinformatics ·Qinhu Zhang, Pengrui Teng, Siguo Wang, Ying He, Zhen Cui, Zhenghao Guo, Yixin Liu, Changan Yuan, Qi Liu, De-Shuang Huang
20229
7
FCNGRU: Locating Transcription Factor Binding Sites by Combing Fully Convolutional Neural Network With Gated Recurrent Unit
IEEE Journal of Biomedical and Health Informatics ·Siguo Wang, Ying He, Zhan‐Heng Chen, Qinhu Zhang
20219
8
In silico prediction methods of self-interacting proteins: an empirical and academic survey
Frontiers of Computer Science ·Zhan‐Heng Chen, Zhu‐Hong You, Qinhu Zhang, Zhen-Hao Guo, Siguo Wang, Yanbin Wang
20226
9
DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes
PLoS Computational Biology ·Siguo Wang, Qinhu Zhang, Ying He, Zhen Cui, Zhenghao Guo, Kyungsook Han, De-Shuang Huang
20225
10
DeepTPpred: A Deep Learning Approach With Matrix Factorization for Predicting Therapeutic Peptides by Integrating Length Information
IEEE Journal of Biomedical and Health Informatics ·Zhen Cui, Siguo Wang, Ying He, Zhan‐Heng Chen, Qinhu Zhang
20235
11
Predicting In-Vitro DNA-Protein Binding With a Spatially Aligned Fusion of Sequence and Shape
IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Qinhu Zhang, Yindong Zhang, Siguo Wang, Zhan‐Heng Chen, Valeriya Gribova, Vladimir Filaretov, De-Shuang Huang
20214
12
Cross‐Species Prediction of Transcription Factor Binding by Adversarial Training of a Novel Nucleotide‐Level Deep Neural Network
Advanced Science ·Qinhu Zhang, Siguo Wang, Zhipeng Li, Yijie Pan, De‐Shuang Huang
20244
13
Graph pooling for graph-level representation learning: a survey
Artificial Intelligence Review ·Zhipeng Li, Siguo Wang, Qinhu Zhang, Yijie Pan, Naian Xiao, Jia-Yang Guo, Changan Yuan, Wenjian Liu, De-Shuang Huang
20243
14
scCorrector: a robust method for integrating multi-study single-cell data
Briefings in Bioinformatics ·Zhenhao Guo, Yanbin Wang, Siguo Wang, Qinhu Zhang, De-Shuang Huang
20243
15
Nucleotide-level prediction of CircRNA-protein binding based on fully convolutional neural network
Frontiers in Genetics ·Zhen Shen, Wei Liu, Shujun Zhao, Qinhu Zhang, Siguo Wang, Lin Yuan
20232
16
Identifying Essential Proteins in Dynamic PPI Network with Improved FOA
International Journal of Computers Communications & Control ·Xiujuan Lei, Siguo Wang, Linqiang Pan
20182
17
scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq data
BMC Bioinformatics ·Zhenhao Guo, Yan Wu, Siguo Wang, Qinhu Zhang, Jinming Shi, Yanbin Wang, Zhan‐Heng Chen
20231
18
NPENN: A Noise Perturbation Ensemble Neural Network for Microbiome Disease Phenotype Prediction
IEEE Journal of Biomedical and Health Informatics ·Zhen Cui, Yan Wu, Qinhu Zhang, Siguo Wang, Zhenhao Guo
20241
19
A brief survey of deep learning-based models for CircRNA-protein binding sites prediction
Neurocomputing ·Zhen Shen, Lin Yuan, Wenzheng Bao, Siguo Wang, Qinhu Zhang, De-Shuang Huang
20251
20
MV-CVIB: a microbiome-based multi-view convolutional variational information bottleneck for predicting metastatic colorectal cancer
Frontiers in Microbiology ·Zhen Cui, Yan Wu, Qinhu Zhang, Siguo Wang, Ying He, De-Shuang Huang
20231

About Siguo Wang

Siguo Wang is a scholar working on Molecular Biology, Cancer Research, Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 231 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (11 papers), RNA and protein synthesis mechanisms (9 papers), Genomics and Chromatin Dynamics (9 papers), Bioinformatics and Genomic Networks (3 papers), Single-cell and spatial transcriptomics (2 papers), Computational Drug Discovery Methods (2 papers), RNA Research and Splicing (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Molecular Biology (210 citations), Health Informatics (4 citations), Cancer Research (22 citations), Computational Theory and Mathematics (16 citations) and Biophysics (5 citations). Siguo Wang has collaborated with scholars based in China, South Korea and Macao. Frequent co-authors include Qinhu Zhang, Ying He, Zhan‐Heng Chen, Zhen Shen, De-Shuang Huang, De-Shuang Huang, Qi Liu, Xiujuan Lei, Jianqiang Li and Fang‐Xiang Wu. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Briefings in Bioinformatics, PLoS Computational Biology, BMC Bioinformatics and Bioinformatics.

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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