Zuojin Hu

454 citations
19 papers · 217 indexed · 1 hit paper · h-index 6
Topics
Brain Tumor Detection and Classification (4 papers)Advanced Image and Video Retrieval Techniques (4 papers)COVID-19 diagnosis using AI (4 papers)
Journals
SHILAP Revista de lepidopterologíaPattern RecognitionNeurocomputing

In The Last Decade

Zuojin Hu

17 papers receiving 208 citations

Hit Papers

Deep Learning for Medical Image-Based Cancer Diagnosis202320262024202520234080120

Peers

Zuojin Hu
Comparison fields: 5 of 68
  • Artificial Intelligence 81
  • Radiology, Nuclear Medicine and Imaging 68
  • Computer Vision and Pattern Recognition 65
  • Neurology 20
  • Biomedical Engineering 18
Replace Gür Emre Güraksın with:
Gür Emre Güraksın Türkiye
Soopil Kim South Korea
Lourdes Durán-López Spain
Indrani Bhattacharya United States
Md. Abul Ala Walid Bangladesh
Meilu Zhu Hong Kong
Mo Zhang United States
Ferhat Bozkurt Türkiye
Haoyu Lu China
Zuojin Hu relative to Gür Emre Güraksın Türkiye Gür Emre Güraksın's profile →
Citations per field
00.5×1.5×
Gür Emre Güraksın · 1×
Citations per year

Countries citing papers authored by Zuojin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Zuojin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zuojin Hu

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 1
3 13
4
Deep Learning for Medical Image-Based Cancer Diagnosisbreakdown →
121
5 1
6 0
7 1
8 1
9
Multimedia Educational System and Its Improvement Using AI Model for a Higher Education Platform.
3
10 18
11 1
12 2
13 3
14 31
15 6
16 4
17 2
18 6
19
VPRS model and its knowledge reduction in fuzzy objective information systems
1

About Zuojin Hu

Zuojin Hu is a scholar working on Health Informatics, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 217 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Health Informatics (16 citations), Computer Vision and Pattern Recognition (65 citations) and Radiology, Nuclear Medicine and Imaging (68 citations). Zuojin Hu has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Yudong Zhang, Shuihua Wang‎, Xiaoyan Jiang, Wai Keung Wong, Yan Cui, Jielin Jiang, Zhihui Lai, Xiaoyan Jiang, Xiaoyan Jiang and G. N. Vivekananda. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Neurocomputing.

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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