Ruihui Mu

467 total citations
7 papers, 303 citations indexed

About

Ruihui Mu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ruihui Mu has authored 7 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ruihui Mu's work include Recommender Systems and Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Seismic Waves and Analysis (1 paper). Ruihui Mu is often cited by papers focused on Recommender Systems and Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Seismic Waves and Analysis (1 paper). Ruihui Mu collaborates with scholars based in China. Ruihui Mu's co-authors include Xiaoqin Zeng, Jun‐Jie Zhu, Xingqiang Zhao, Meng Li, Weidong Wang, Yao Zhao, Rui Tang, Yi Zhang, Tao Tang and Jianbo Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Ruihui Mu

5 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruihui Mu China 3 138 114 81 25 23 7 303
Iman Barjasteh United States 6 121 0.9× 141 1.2× 107 1.3× 40 1.6× 26 1.1× 9 336
Guangwei Zhang China 8 86 0.6× 126 1.1× 121 1.5× 62 2.5× 35 1.5× 31 371
Lijuan Zhou China 9 98 0.7× 72 0.6× 42 0.5× 71 2.8× 27 1.2× 52 324
Yunlei Sun China 7 63 0.5× 161 1.4× 56 0.7× 60 2.4× 18 0.8× 15 384
Shunzhi Zhu China 11 216 1.6× 118 1.0× 98 1.2× 47 1.9× 11 0.5× 27 372
Enyan Dai United States 11 90 0.7× 416 3.6× 90 1.1× 27 1.1× 54 2.3× 23 614
Chi Jiang China 7 53 0.4× 109 1.0× 83 1.0× 51 2.0× 57 2.5× 19 300
Rewa Sharma India 3 80 0.6× 77 0.7× 36 0.4× 58 2.3× 13 0.6× 13 243
Prabhjot Kaur India 12 40 0.3× 115 1.0× 92 1.1× 26 1.0× 14 0.6× 37 273
Ji Wu China 10 94 0.7× 96 0.8× 39 0.5× 58 2.3× 57 2.5× 59 341

Countries citing papers authored by Ruihui Mu

Since Specialization
Citations

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

Fields of papers citing papers by Ruihui Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruihui Mu

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

All Works

7 of 7 papers shown
1.
2.
Tang, Rui, Yao Tong, Ruihui Mu, et al.. (2025). A frequency attention-embedded network for polyp segmentation. Scientific Reports. 15(1). 4961–4961. 2 indexed citations
3.
4.
Mu, Ruihui & Xiaoqin Zeng. (2020). Auxiliary Stacked Denoising Autoencoder based Collaborative Filtering Recommendation. KSII Transactions on Internet and Information Systems. 14(6). 8 indexed citations
5.
Mu, Ruihui, et al.. (2019). A Review of Deep Learning Research. KSII Transactions on Internet and Information Systems. 13(4). 136 indexed citations
6.
Mu, Ruihui. (2018). A Survey of Recommender Systems Based on Deep Learning. IEEE Access. 6. 69009–69022. 156 indexed citations
7.
Zhao, Xingqiang, Yi Zhang, Wei Zheng, Tao Tang, & Ruihui Mu. (2010). Modelling and design of the formal approach for generating test sequences of ETCS level 2 based on the CPN. WIT transactions on the built environment. 1. 723–734. 1 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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