Xiucai Ye

1.9k total citations
101 papers, 1.2k citations indexed

About

Xiucai Ye is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiucai Ye has authored 101 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 25 papers in Artificial Intelligence and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiucai Ye's work include Machine Learning in Bioinformatics (20 papers), Face and Expression Recognition (16 papers) and Gene expression and cancer classification (15 papers). Xiucai Ye is often cited by papers focused on Machine Learning in Bioinformatics (20 papers), Face and Expression Recognition (16 papers) and Gene expression and cancer classification (15 papers). Xiucai Ye collaborates with scholars based in Japan, China and Taiwan. Xiucai Ye's co-authors include Tetsuya Sakurai, Leyi Wei, Lesong Wei, Quan Zou, Ran Su, Xiaoli Qiang, Tetsuya Sakurai, Akira Imakura, Hongmin Li and Zengchao Mu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Xiucai Ye

91 papers receiving 1.2k citations

Peers

Countries citing papers authored by Xiucai Ye

Since Specialization

Citations

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

Fields of papers citing papers by Xiucai Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiucai Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Xiucai Ye. A scholar is included among the top collaborators of Xiucai Ye 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 Xiucai Ye. Xiucai Ye 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	MOFormer: navigating the antimicrobial peptide design space with Pareto-based multi-objective transformer 2025 ·Briefings in Bioinformatics ·Li Wang, Xiangzheng Fu, (unknown), (unknown), Xiucai Ye, Tetsuya Sakurai, Xiangxiang Zeng, Yiping Liu	0
2	Deciphering cancer therapy resistance via patient-level single-cell transcriptomics with CellResDB 2025 ·Communications Biology ·Tianyuan Liu, (unknown), Liping Ren, Xiucai Ye, Quan Zou, Yang Zhang	0
3	DRL-UPPS: User Trajectory Privacy Protection Strategy Based on Deep Reinforcement Learning in Mobile Crowdsensing 2025 ·IEEE Transactions on Computational Social Systems ·(unknown), Jing Zhang, Li Xu, Yanhua Liu, Xiucai Ye	0
4	Multi-party collaborative drug discovery via federated learning 2024 ·Computers in Biology and Medicine ·Dong Huang, Xiucai Ye, Tetsuya Sakurai	5
5	Robust feature learning using contractive autoencoders for multi-omics clustering in cancer subtyping 2024 ·Methods ·(unknown), Xiucai Ye, Dong Huang, Tetsuya Sakurai	1
6	Lightweight privacy-preserving authenticated key agreements using physically unclonable functions for internet of drones 2024 ·Journal of Information Security and Applications ·Tian‐Fu Lee, Xiucai Ye, (unknown)	0
7	A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens 2024 ·International Journal of Biological Macromolecules ·Zhao‐Yue Zhang, (unknown), Xiucai Ye, Tetsuya Sakurai, Hao Lin	13
8	CodLncScape Provides a Self‐Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs 2024 ·Advanced Science ·Tianyuan Liu, (unknown), Zixu Wang, Xinyan Yang, (unknown), Yang Yu, Xiucai Ye, Tetsuya Sakurai, Hao Lin, Yang Zhang	26
9	An interpretable deep learning model predicts RNA–small molecule binding sites 2024 ·Future Generation Computer Systems ·(unknown), Ruheng Wang, (unknown), Xiucai Ye, Mingyang Liu, Tetsuya Sakurai	4
10	Interactive gene identification for cancer subtyping based on multi-omics clustering 2023 ·Methods ·Xiucai Ye, (unknown), (unknown), Tetsuya Sakurai	6
11	m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representation 2023 ·BMC Biology ·Chunyan Ao, Xiucai Ye, Tetsuya Sakurai, Quan Zou, Liang Yu	49
12	A novel Sybil attack detection scheme in mobile IoT based on collaborate edge computing 2023 ·EURASIP Journal on Wireless Communications and Networking ·(unknown), Tao Jiang, (unknown), (unknown), Xiucai Ye, (unknown), Yong Wang	2
13	Bidirectional k-nearest neighbor spatial crowdsourcing allocation protocol based on edge computing 2023 ·PeerJ Computer Science ·Jing Zhang, Qian Ding, Biao Li, Xiucai Ye	4
14	SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning 2022 ·Briefings in Bioinformatics ·(unknown), Lesong Wei, Xiucai Ye, Kai Zhang, (unknown), Zhongshen Li, Junru Jin, Min Jae Kim, Tetsuya Sakurai, Lizhen Cui, Balachandran Manavalan, Leyi Wei	37
15	ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning 2022 ·Bioinformatics ·Lesong Wei, Xiucai Ye, Tetsuya Sakurai, Zengchao Mu, Leyi Wei	111
16	ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism 2021 ·Briefings in Bioinformatics ·Lesong Wei, Xiucai Ye, (unknown), Tetsuya Sakurai, Leyi Wei	81
17	Better Performance with Transformer: CPPFormer in the PrecisePrediction of Cell-penetrating Peptides 2021 ·Current Medicinal Chemistry ·(unknown), Xiucai Ye, Lesong Wei, Xin Zhang, Tetsuya Sakurai, Leyi Wei	3
18	CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning 2018 ·Briefings in Bioinformatics ·Xiaoli Qiang, Chen Zhou, Xiucai Ye, Pu-Feng Du, Ran Su, Leyi Wei	122
19	Spectral clustering and discriminant analysis for unsupervised feature selection. 2016 ·The European Symposium on Artificial Neural Networks ·Xiucai Ye, (unknown), Tetsuya Sakurai	1
20	Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation. 2016 ·The Florida AI Research Society ·Xiucai Ye, (unknown), Tetsuya Sakurai	3

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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