De-Shuang Huang

16.7k citations

331 papers · 11.1k indexed · 2 hit papers · h-index 58

Molecular Biology top 1%
Computer Vision and Pattern Recognition top 0.2%
Artificial Intelligence top 0.5%
Signal Processing top 0.5%
Cancer Research top 2%

Co-authors: Ji‐Xiang Du Zhu‐Hong You Chun-Hou Zheng Wei Jia Xiaofeng Wang Lin Zhu David Zhang Huan Xu
Topics: Neural Networks and Applications (49 papers)Machine Learning in Bioinformatics (44 papers)Bioinformatics and Genomic Networks (36 papers)
Cited by: Computer Vision and Pattern Recognition Signal Processing Artificial Intelligence
Journals: SHILAP Revista de lepidopterologíaBioinformatics PLoS ONE
Partner nations: China South Korea United Kingdom

In The Last Decade

De-Shuang Huang

317 papers receiving 10.8k 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.

An efficient local Chan–Vese model for image segmentation

2009 460 citations De-Shuang Huang et al. profile →
DeepCRISPR: optimized CRISPR guide RNA design by deep learning

2018 356 citations De-Shuang Huang, Qi Liu et al. profile →

Peers

Replace Chen Ding with:

Chen Ding China

Fuhui Long United States

Ujjwal Maulik India

Heng Huang United States

Chenggang Yan China

Alexander Zien Germany

Sanghamitra Bandyopadhyay India

Sungroh Yoon South Korea

Mengjie Zhang New Zealand

Asoke K. Nandi United Kingdom

De-Shuang Huang relative to Chen Ding China Chen Ding's profile →

Citations per field

00.5×2×4×6.4×

Chen Ding · 1×

×2.5 4k/2k

MB

×1.5 3k/2k

CVPR

×0.8 3k/3k

AI

×1.6 1k/806

SP

×6.4 926/144

CR

Citations per year

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Countries citing papers authored by De-Shuang Huang

Since Specialization

Citations

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

Fields of papers citing papers by De-Shuang Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by De-Shuang Huang. 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 De-Shuang Huang. The network helps show where De-Shuang Huang may publish in the future.

Co-authorship network of co-authors of De-Shuang Huang

This figure shows the co-authorship network connecting the top 25 collaborators of De-Shuang Huang. A scholar is included among the top collaborators of De-Shuang Huang 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 De-Shuang Huang. De-Shuang Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Spatio-temporal graph-based self-labeling for video anomaly detection 2025 ·Neurocomputing ·(unknown),Zhiyong Feng,Yong Su,(unknown),Changjae Oh,Valeriya Gribova,(unknown),De-Shuang Huang	1
2	Beyond singular prototype: A prototype splitting strategy for few-shot medical image segmentation 2024 ·Neurocomputing ·(unknown),Wenjian Liu,Xuesong Wang,Di Wu,Changan Yuan,Yuhu Cheng,De-Shuang Huang	2
3	GMean—a semi-supervised GRU and K-mean model for predicting the TF binding site 2024 ·Scientific Reports ·(unknown),(unknown),De-Shuang Huang	1
4	Applied Intelligence 2024 ·Communications in computer and information science ·De-Shuang Huang,Prashan Premaratne,Changan Yuan	1
5	Hierarchical Multiview Top-k Pooling With Deep-Q-Networks 2023 ·IEEE Transactions on Artificial Intelligence ·(unknown),(unknown),Yong Wu,Qinhu Zhang,Changan Yuan,Valeriya Gribova,Vladimir Filaretov,De-Shuang Huang	2
6	Computational prediction and characterization of cell-type-specific and shared binding sites 2022 ·Bioinformatics ·Qinhu Zhang,(unknown),Siguo Wang,Ying He,Zhen Cui,(unknown),Yixin Liu,Changan Yuan,Qi Liu,De-Shuang Huang	9
7	Predicting transcription factor binding sites using DNA shape features based on shared hybrid deep learning architecture 2021 ·Molecular Therapy — Nucleic Acids ·Siguo Wang,Qinhu Zhang,Zhen Shen,Ying He,Zhan‐Heng Chen,Jianqiang Li,De-Shuang Huang	39
8	RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification 2021 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Zhen Cui,Zhan‐Heng Chen,Qinhu Zhang,Valeriya Gribova,Vladimir Filaretov,De-Shuang Huang	6
9	MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm 2020 ·Briefings in Bioinformatics ·Zhen-Hao Guo,Zhu‐Hong You,De-Shuang Huang,Hai-Cheng Yi,Kai Zheng,Zhan‐Heng Chen,Yanbin Wang	32
10	A Deep Learning Framework for Robust and Accurate Prediction of ncRNA-Protein Interactions Using Evolutionary Information 2018 ·Molecular Therapy — Nucleic Acids ·Hai-Cheng Yi,Zhu‐Hong You,De-Shuang Huang,Li Xiao,Tonghai Jiang,Liping Li	96
11	High-Order Convolutional Neural Network Architecture for Predicting DNA-Protein Binding Sites 2018 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Qinhu Zhang,Lin Zhu,De-Shuang Huang	80
12	Weakly-Supervised Convolutional Neural Network Architecture for Predicting Protein-DNA Binding 2018 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Qinhu Zhang,Lin Zhu,Wenzheng Bao,De-Shuang Huang	62
13	A novel computational model based on super-disease and miRNA for potential miRNA–disease association prediction 2017 ·Molecular BioSystems ·Xing Chen,Zhichao Jiang,Di Xie,De-Shuang Huang,Qi Zhao,Guiying Yan,Zhu‐Hong You	44
14	An efficient method to transcription factor binding sites imputation via simultaneous completion of multiple matrices with positional consistency 2017 ·Molecular BioSystems ·Wei-Li Guo,De-Shuang Huang	16
15	Robust and accurate prediction of protein self-interactions from amino acids sequence using evolutionary information 2016 ·Molecular BioSystems ·Jiyong An,Zhu‐Hong You,Xing Chen,De-Shuang Huang,Guiying Yan,(unknown)	9
16	Intelligent Computing Theories and Application : 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part II 2016 ·Springer eBooks ·Vitoantonio Bevilacqua,Prashan Premaratne,De-Shuang Huang	1
17	Collaborative Completion of Transcription Factor Binding Profiles via Local Sensitive Unified Embedding 2016 ·IEEE Transactions on NanoBioscience ·Lin Zhu,Wei-Li Guo,Canyi Lu,De-Shuang Huang	3
18	Intelligent Computing Methodologies: 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014, Proceedings 2014 ·CERN Document Server (European Organization for Nuclear Research) ·De-Shuang Huang,Kang-Hyun Jo,Ling Wang	5
19	Intelligent Computing in Signal Processing and Pattern Recognition 2006 ·Lecture notes in control and information sciences ·De-Shuang Huang,Kang Li,G.W. Irwin	18
20	Intelligent computing in signal processing and pattern recognition : International Conference on Intelligent Computing, ICIC 2006 Kunming, China, August, 16-19 2006 2006 ·Springer eBooks ·De-Shuang Huang,Kang Li,G.W. Irwin	1

About De-Shuang Huang

De-Shuang Huang is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Signal Processing, having authored 331 papers that have together received 11.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (49 papers), Machine Learning in Bioinformatics (44 papers) and Bioinformatics and Genomic Networks (36 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.4k citations), Signal Processing (1.3k citations) and Artificial Intelligence (2.6k citations). De-Shuang Huang has collaborated with scholars based in China, South Korea and United Kingdom. Frequent co-authors include Ji‐Xiang Du, Zhu‐Hong You, Chun-Hou Zheng, Wei Jia, Xiaofeng Wang, Lin Zhu, David Zhang, Huan Xu, Zhong‐Qiu Zhao and Fei Han. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

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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