Mujiexin Liu

407 citations
9 papers · 236 indexed · 1 hit paper · h-index 4
Topics
SARS-CoV-2 and COVID-19 Research (1 paper)Machine Learning in Bioinformatics (1 paper)Diverse Aspects of Tourism Research (1 paper)
Journals
SHILAP Revista de lepidopterologíaBriefings in BioinformaticsComputers in Biology and Medicine
Partner nations
ChinaJapanUnited States

In The Last Decade

Mujiexin Liu

9 papers receiving 232 citations

Hit Papers

Attention is all you need: utilizing attention in AI-enab...2023202620242025202350100150

Peers

Mujiexin Liu
Comparison fields: 5 of 80
  • Molecular Biology 62
  • Artificial Intelligence 49
  • Computer Vision and Pattern Recognition 29
  • Radiology, Nuclear Medicine and Imaging 23
  • Computational Theory and Mathematics 22
Replace Qiang Zhu with:
Qiang Zhu China
Huang Cheng-bing China
C. Gunavathi India
Asghar Ali Shah Pakistan
Xingye Qiao United States
Vivek Bagaria United States
Zhanhao Zhang China
Biswajit Sahoo India
Sotiris K. Tasoulis Greece
Santos Kumar Baliarsingh India
Mujiexin Liu relative to Qiang Zhu China Qiang Zhu's profile →
Citations per field
00.5×1.5×2.4×
Qiang Zhu · 1×
Citations per year

Countries citing papers authored by Mujiexin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Mujiexin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mujiexin Liu

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1
Attention is all you need: utilizing attention in AI-enabled drug discoverybreakdown →
190
2 2
3 21
4 14
5 4
6 2
7 1
8 1
9 1

About Mujiexin Liu

Mujiexin Liu is a scholar working on Ophthalmology, Cancer Research and Computational Theory and Mathematics, having authored 9 papers that have together received 236 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (1 paper), Machine Learning in Bioinformatics (1 paper) and Diverse Aspects of Tourism Research (1 paper). The work is most often cited by research in Health Informatics (7 citations), Artificial Intelligence (49 citations) and Computer Vision and Pattern Recognition (29 citations). Mujiexin Liu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Ning Lin, Hao Lin, Huang Cheng-bing, Yang Zhang, Caiqi Liu, Tianyuan Liu, Jian Huang, Bifang He, Yue Yang and Dazheng Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Briefings in Bioinformatics and Computers in Biology and Medicine.

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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