Shankai Yan

1.3k total citations
25 papers, 246 citations indexed

About

Shankai Yan is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Shankai Yan has authored 25 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Shankai Yan's work include Machine Learning in Bioinformatics (6 papers), Biomedical Text Mining and Ontologies (6 papers) and RNA and protein synthesis mechanisms (6 papers). Shankai Yan is often cited by papers focused on Machine Learning in Bioinformatics (6 papers), Biomedical Text Mining and Ontologies (6 papers) and RNA and protein synthesis mechanisms (6 papers). Shankai Yan collaborates with scholars based in Hong Kong, China and Macao. Shankai Yan's co-authors include Ka‐Chun Wong, Junyi Chen, Zhiyong Lu, Kyubum Lee, Sun Kim, Chih-Hsuan Wei, Qiuzhen Lin, Xiangtao Li, Qingyu Chen and Cheng Liang and has published in prestigious journals such as Bioinformatics, ACM Computing Surveys and BMC Bioinformatics.

In The Last Decade

Shankai Yan

23 papers receiving 239 citations

Peers

Countries citing papers authored by Shankai Yan

Since Specialization

Citations

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

Fields of papers citing papers by Shankai Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shankai Yan

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

#	Work	Indexed citations
1	RMDNet: RNA-aware dung beetle optimization-based multi-branch integration network for RNA–protein binding sites prediction 2025 ·BMC Bioinformatics ·Jiangbo Zhang, Yunhui Peng, Feifei Cui, Zilong Zhang, Shankai Yan, Qingchen Zhang	0
2	CasPro-ESM2: Accurate identification of Cas proteins integrating pre-trained protein language model and multi-scale convolutional neural network 2025 ·International Journal of Biological Macromolecules ·(unknown), Zilong Zhang, Junlin Xu, Meng Yu, Shankai Yan, Leyi Wei, Quan Zou, Qingchen Zhang, Feifei Cui	5
3	BiCalBERT: An Efficient Transformer-based Model for Chinese Question Answering 2024 ·(unknown), (unknown), (unknown), Chao Zhao, Shankai Yan	1
4	Small target detection from DIKW model perspective 2024 ·Yujuan Wang, (unknown), (unknown), (unknown), Shankai Yan, Bin Zhang	1
5	RARoK:Retrieval-Augmented Reasoning on Knowledge for Medical Question Answering 2024 ·(unknown), (unknown), (unknown), (unknown), Yucong Duan, Shankai Yan	4
6	IC-BERT: An Instruction Classifier Model Alleviates the Hallucination of Large Language Models in Traditional Chinese Medicine 2024 ·(unknown), Yucong Duan, Shankai Yan	1
7	Voting-ac4C:Pre-trained large RNA language model enhances RNA N4-acetylcytidine site prediction 2024 ·International Journal of Biological Macromolecules ·(unknown), Zilong Zhang, Shankai Yan, Qingchen Zhang, (unknown), Feifei Cui	4
8	Backbone Feature Hierarchy Selection Strategy and Verification in Small Object Detection 2024 ·(unknown), (unknown), Shankai Yan, (unknown), (unknown), (unknown), (unknown)	2
9	MotifHub: Detection of trans-acting DNA motif group with probabilistic modeling algorithm 2023 ·Computers in Biology and Medicine ·Zhe Liu, (unknown), Xingjian Chen, Jiecong Lin, Shixiong Zhang, Shankai Yan, Fuzhou Wang, Xiangtao Li, Ka‐Chun Wong	2
10	AIPPT: Predicts anti-inflammatory peptides using the most characteristic subset of bases and sequences by stacking ensemble learning strategies 2023 ·Ruiqi Liu, (unknown), Shankai Yan, Zilong Zhang, Feifei Cui	11
11	PhenoRerank: A re-ranking model for phenotypic concept recognition pre-trained on human phenotype ontology 2022 ·Journal of Biomedical Informatics ·Shankai Yan, Ling Luo, Po‐Ting Lai, Daniel Veltri, Andrew J. Oler, Sandhya Xirasagar, Rajarshi Ghosh, Morgan Similuk, Peter N. Robinson, Zhiyong Lu	4
12	PhenoTagger: a hybrid method for phenotype concept recognition using human phenotype ontology 2021 ·Bioinformatics ·Ling Luo, Shankai Yan, Po‐Ting Lai, Daniel Veltri, Andrew J. Oler, Sandhya Xirasagar, Rajarshi Ghosh, Morgan Similuk, Peter N. Robinson, Zhiyong Lu	37
13	BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale 2020 ·PLoS Computational Biology ·Qingyu Chen, Kyubum Lee, Shankai Yan, Sun Kim, Chih-Hsuan Wei, Zhiyong Lu	34
14	GESgnExt: Gene Expression Signature Extraction and Meta-Analysis on Gene Expression Omnibus 2019 ·IEEE Journal of Biomedical and Health Informatics ·Shankai Yan, Ka‐Chun Wong	5
15	Context awareness and embedding for biomedical event extraction 2019 ·Bioinformatics ·Shankai Yan, Ka‐Chun Wong	12
16	DNA Sequencing Technologies 2019 ·ACM Computing Surveys ·Ka‐Chun Wong, Jiao Zhang, Shankai Yan, Xiangtao Li, Qiuzhen Lin, Sam Kwong, Cheng Liang	22
17	Early Cancer Detection from Multianalyte Blood Test Results 2019 ·iScience ·Ka‐Chun Wong, Junyi Chen, Jiao Zhang, Jiecong Lin, Shankai Yan, (unknown), Xiangtao Li, Cheng Liang, Chengbin Peng, Qiuzhen Lin, Sam Kwong, Jun Yu	22
18	Biomedical Event Extraction 2019 ·Data Archiving and Networked Services (DANS) ·Shankai Yan	1
19	Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors 2018 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Ka‐Chun Wong, Shankai Yan, Qiuzhen Lin, Xiangtao Li, Chengbin Peng	4
20	Elucidating high-dimensional cancer hallmark annotation via enriched ontology 2017 ·Journal of Biomedical Informatics ·Shankai Yan, Ka‐Chun Wong	4

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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