Ronghui You

2.7k total citations
30 papers, 958 citations indexed

About

Ronghui You is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ronghui You has authored 30 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Ronghui You's work include Genomics and Phylogenetic Studies (9 papers), Machine Learning in Bioinformatics (8 papers) and Bioinformatics and Genomic Networks (6 papers). Ronghui You is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Machine Learning in Bioinformatics (8 papers) and Bioinformatics and Genomic Networks (6 papers). Ronghui You collaborates with scholars based in China, United States and Finland. Ronghui You's co-authors include Shanfeng Zhu, Hiroshi Mamitsuka, Yi Xiong, Xiaodi Huang, Fengzhu Sun, Shuwei Yao, Shaojun Wang, Zihan Zhang, Ziye Wang and Suyang Dai and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Ronghui You

29 papers receiving 937 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ronghui You China 19 698 247 162 40 37 30 958
Jeyakumar Natarajan India 15 569 0.8× 185 0.7× 85 0.5× 29 0.7× 36 1.0× 82 837
Victor Felix United States 10 1.4k 2.0× 362 1.5× 181 1.1× 29 0.7× 46 1.2× 14 1.7k
Wen-Lian Hsu Taiwan 19 862 1.2× 265 1.1× 82 0.5× 16 0.4× 18 0.5× 41 1.0k
Nicole Redaschi Switzerland 14 1.0k 1.5× 102 0.4× 148 0.9× 89 2.2× 76 2.1× 29 1.3k
Ehsaneddin Asgari United States 10 715 1.0× 105 0.4× 164 1.0× 12 0.3× 29 0.8× 25 917
Joel P. Arrais Portugal 16 485 0.7× 84 0.3× 297 1.8× 25 0.6× 18 0.5× 73 866
Maxat Kulmanov Saudi Arabia 12 827 1.2× 114 0.5× 184 1.1× 35 0.9× 24 0.6× 22 1.0k
Ezekiel Adebiyi Nigeria 16 447 0.6× 77 0.3× 157 1.0× 46 1.1× 20 0.5× 81 813
Haibin Liu China 18 816 1.2× 262 1.1× 105 0.6× 119 3.0× 29 0.8× 88 1.4k

Countries citing papers authored by Ronghui You

Since Specialization
Citations

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

Fields of papers citing papers by Ronghui You

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronghui You

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

All Works

20 of 20 papers shown
1.
You, Ronghui, Ying Yang, Ting Wu, et al.. (2024). Pervaporation performance and characterization of hydrophilic ZSM-5 zeolite membranes for high inorganic acid and inorganic salts. Chinese Journal of Chemical Engineering. 73. 27–33. 1 indexed citations
2.
Wang, Ziye, et al.. (2024). Effective binning of metagenomic contigs using contrastive multi-view representation learning. Nature Communications. 15(1). 585–585. 26 indexed citations
3.
Yi, Yuhao, et al.. (2024). Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16469–16477.
4.
Wang, Ziye, Ronghui You, Hong Wei, et al.. (2024). PLMSearch: Protein language model powers accurate and fast sequence search for remote homology. Nature Communications. 15(1). 2775–2775. 39 indexed citations
5.
Qu, Wei, Ronghui You, Hiroshi Mamitsuka, & Shanfeng Zhu. (2023). DeepMHCI: an anchor position-aware deep interaction model for accurate MHC-I peptide binding affinity prediction. Bioinformatics. 39(9). 5 indexed citations
6.
Wang, Shaojun, Ronghui You, Yunjia Liu, Yi Xiong, & Shanfeng Zhu. (2023). NetGO 3.0: Protein Language Model Improves Large-Scale Functional Annotations. Genomics Proteomics & Bioinformatics. 21(2). 349–358. 47 indexed citations
7.
8.
You, Ronghui, Shuwei Yao, Hiroshi Mamitsuka, & Shanfeng Zhu. (2021). DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction. Bioinformatics. 37(Supplement_1). i262–i271. 77 indexed citations
9.
Wang, Ziye, Shuo Li, Ronghui You, et al.. (2021). ARG-SHINE: improve antibiotic resistance class prediction by integrating sequence homology, functional information and deep convolutional neural network. NAR Genomics and Bioinformatics. 3(3). lqab066–lqab066. 13 indexed citations
10.
You, Ronghui, Yuxuan Liu, Hiroshi Mamitsuka, & Shanfeng Zhu. (2020). BERTMeSH: deep contextual representation learning for large-scale high-performance MeSH indexing with full text. Bioinformatics. 37(5). 684–692. 24 indexed citations
11.
You, Ronghui, Shuwei Yao, Yi Xiong, et al.. (2019). NetGO: improving large-scale protein function prediction with massive network information. Nucleic Acids Research. 47(W1). W379–W387. 90 indexed citations
12.
Dai, Suyang, Ronghui You, Zhiyong Lu, et al.. (2019). FullMeSH: improving large-scale MeSH indexing with full text. Bioinformatics. 36(5). 1533–1541. 25 indexed citations
13.
You, Ronghui, Zihan Zhang, Yi Xiong, et al.. (2018). GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank. Bioinformatics. 34(14). 2465–2473. 123 indexed citations
14.
You, Ronghui, Suyang Dai, Zihan Zhang, Hiroshi Mamitsuka, & Shanfeng Zhu. (2018). AttentionXML: Extreme Multi-Label Text Classification with Multi-Label Attention Based Recurrent Neural Networks.. arXiv (Cornell University). 19 indexed citations
15.
You, Ronghui, Xiaodi Huang, & Shanfeng Zhu. (2018). DeepText2GO: Improving large-scale protein function prediction with deep semantic text representation. Methods. 145. 82–90. 52 indexed citations
16.
Zhang, Yanchun, et al.. (2015). The Fudan Participation in the 2015 BioASQ Challenge: Large-scale Biomedical Semantic Indexing and Question Answering. Victoria University Research Repository (Victoria University). 18 indexed citations
17.
You, Ronghui, et al.. (2015). FDUMedSearch at TREC 2015 Clinical Decision Support Track.. Text REtrieval Conference. 3 indexed citations
18.
19.
Yue, Pengfei, Hailong Yuan, Ming Yang, et al.. (2008). Preparation, characterization, and pharmacokinetic evaluation of puerarin submicron emulsion.. PubMed. 62(1). 32–45. 30 indexed citations
20.
Yang, Ming, et al.. (2006). Hepatitis B Virus Inhibiting Constituents from Herpetospermum caudigerum. Chemical and Pharmaceutical Bulletin. 54(11). 1592–1594. 34 indexed citations

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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