Yingchun Xia

666 total citations · 1 hit paper
12 papers, 493 citations indexed

About

Yingchun Xia is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Yingchun Xia has authored 12 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Yingchun Xia's work include Machine Learning in Bioinformatics (2 papers), Topic Modeling (2 papers) and Web Data Mining and Analysis (2 papers). Yingchun Xia is often cited by papers focused on Machine Learning in Bioinformatics (2 papers), Topic Modeling (2 papers) and Web Data Mining and Analysis (2 papers). Yingchun Xia collaborates with scholars based in China, United States and Fiji. Yingchun Xia's co-authors include Lichuan Gu, Xiaohui Yuan, Mohamed Elhoseny, Xiangwei Wu, Hanwei Yan, Xiu Jin, Enhua Xia, Shaowen Li, Wenting Zhang and SI Long-ting and has published in prestigious journals such as Scientific Reports, BMC Bioinformatics and Applied Soft Computing.

In The Last Decade

Yingchun Xia

10 papers receiving 474 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.

Feature selection based on artificial bee colony and gradient boosting decision tree

2018 427 citations Yingchun Xia, Mohamed Elhoseny et al. Applied Soft Computing profile →

Peers

Countries citing papers authored by Yingchun Xia

Since Specialization

Citations

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

Fields of papers citing papers by Yingchun Xia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingchun Xia

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	DLBWE-Cys: a deep-learning-based tool for identifying cysteine S-carboxyethylation sites using binary-weight encoding 2025 ·Frontiers in Genetics ·(unknown), Qingyong Wang, Yingchun Xia, Xiaolei Zhu, Shuai Yang, Zhaochun Xu, Lichuan Gu	0
2	Clustering‐based recommendation method with enhanced grasshopper optimisation algorithm 2025 ·CAAI Transactions on Intelligence Technology ·(unknown), Yingchun Xia, Wenjun Xu, (unknown), Shuai Yang, (unknown), Xiaohui Yuan, Xiaobo Zhou, (unknown), Lichuan Gu	0
3	Life changes, self-prevention, knowledge and mental health among inflammatory bowel disease patients during COVID-19 pandemic: a cross-sectional study 2024 ·Frontiers in Public Health ·(unknown), Tao Xiao, Yingchun Xia	2
4	Learning protein language contrastive models with multi-knowledge representation 2024 ·Future Generation Computer Systems ·Wenjun Xu, Yingchun Xia, Bohua Sun, (unknown), (unknown), Xiaobo Zhou, (unknown), Lichuan Gu	1
5	LncRNA–protein interaction prediction with reweighted feature selection 2023 ·BMC Bioinformatics ·(unknown), Yingchun Xia, Qi Zhao, (unknown), (unknown), Cheng Chen, Shuai Yang, (unknown), Lichuan Gu	2
6	A virus–target host proteins recognition method based on integrated complexes data and seed extension 2022 ·BMC Bioinformatics ·(unknown), Yingchun Xia, (unknown), Hui Wang, Chao Wang, Jin He, (unknown), Lichuan Gu	1
7	Agarose-resolvable InDel markers based on whole genome re-sequencing in cucumber 2021 ·Scientific Reports ·(unknown), Lu Xia, Yingchun Xia, (unknown), (unknown), Md. Amirul Alam, Menghua Liu, Xue Yang, Wenting Zhang, (unknown), Wenhu Li, SI Long-ting	23
8	A Multi-Rule Algorithm for Multi-Shop Integrated Scheduling Problem 2020 ·Zhiqiang Xie, (unknown), Yingchun Xia, (unknown)	1
9	Identification of Orphan Genes in Unbalanced Datasets Based on Ensemble Learning 2020 ·Frontiers in Genetics ·(unknown), Xiu Jin, Enhua Xia, Xiangwei Wu, Lichuan Gu, Hanwei Yan, Yingchun Xia, Shaowen Li	25
10	A collective entity linking algorithm with parallel computing on large-scale knowledge base 2019 ·The Journal of Supercomputing ·Yingchun Xia, Xingyue Wang, Lichuan Gu, (unknown), Jun Jiao, Chao Wang	5
11	Research on the model for tobacco disease prevention and control based on case-based reasoning and knowledge graph 2018 ·Filomat ·Lichuan Gu, Yingchun Xia, Xiaohui Yuan, Chao Wang, Jun Jiao	6
12	Feature selection based on artificial bee colony and gradient boosting decision tree breakdown → 2018 ·Applied Soft Computing ·(unknown), (unknown), (unknown), (unknown), Yingchun Xia, Mohamed Elhoseny, Xiaohui Yuan, Lichuan Gu	427

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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