Yiming Zhou

722 citations
6 papers · 543 · 1 hit paper · h-index 6

Impact in

Papers in

Yiming Zhou

6 papers receiving 516 citations

Yiming Zhou's Hit Papers

Deep Learning and Its Applications in Biomedicine 2018 · 465 citations
4650+2+5Years since publication100200300400

Peers

Yiming Zhou
Comparison fields: 5 of 127
  • Health Informatics 25
  • Health Information Management 32
  • Biophysics 38
  • Mathematical Physics 54
  • Computer Vision and Pattern Recognition 116
Replace Rajib Kumar Jha with:
Rajib Kumar Jha India
C. Paul Bonnington New Zealand
Akif Burak Tosun United States
Matteo Rucco Italy
Tieliang Gong China
Jialin Peng China
Rekha Vig India
Seferina Mavroudi Greece
Abdul Majid Pakistan
Zerrin Işık Türkiye
Yiming Zhou relative to Rajib Kumar Jha India Rajib Kumar Jha's profile →
Citations per field
00.5×4.5×
Rajib Kumar Jha · 1×
Citations per year

Countries citing papers authored by Yiming Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Yiming Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Yiming Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yiming Zhou Line = papers co-authored together Yiming Zhou links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Deep Learning and Its Applications in Biomedicine
Hit paper breakdown →
2018465
2 200730
3 200716
4 200615
5 200611
6 20076

About Yiming Zhou

Yiming Zhou is a scholar working on Mathematical Physics, Artificial Intelligence, Computer Vision and Pattern Recognition, Analytical Chemistry and Molecular Biology, having authored 6 papers that have together received 543 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (5 papers), Advanced Data Compression Techniques (2 papers), Chromatography in Natural Products (2 papers), Algorithms and Data Compression (2 papers), Neural Networks and Applications (1 paper), Theoretical and Computational Physics (1 paper), Image and Signal Denoising Methods (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Health Informatics (25 citations), Health Information Management (32 citations), Biophysics (38 citations), Mathematical Physics (54 citations) and Computer Vision and Pattern Recognition (116 citations). Yiming Zhou has collaborated with scholars based in China. Frequent co-authors include Zhi Xie, Chensi Cao, Feng Liu, Weizhong Li, Wenjie Shu, Zengke Zhang, Chao Zhang, Chao Zhang and Chao Zhang. Their work appears in journals such as Chaos Solitons & Fractals, Tsinghua Science & Technology, Genomics Proteomics & Bioinformatics and Lecture notes in computer science.

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.

Explore authors with similar magnitude of impact