Huiyan Jiang

2.5k citations
148 papers · 1.7k · 1 hit paper · h-index 21

Impact in

Papers in

Huiyan Jiang

135 papers receiving 1.7k citations

Huiyan Jiang's Hit Papers

A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation 2023 · 135 citations
1350+1+2Years since publication4080120

Peers

Huiyan Jiang
Comparison fields: 5 of 139
  • Computer Vision and Pattern Recognition 559
  • Biochemistry 153
  • Health Informatics 30
  • Radiology, Nuclear Medicine and Imaging 506
  • Neurology 156
Replace Nektarios A. Valous with:
Nektarios A. Valous Germany
Xi Wang China
Ghulam Murtaza Pakistan
Ihsan Ul Haq Pakistan
Ruixuan Wang China
Qingde Li United Kingdom
Vijendra Singh India
Junwei Luo China
Huiyan Jiang relative to Nektarios A. Valous Germany Nektarios A. Valous's profile →
Citations per field
00.5×3.7×
Nektarios A. Valous · 1×
Citations per year

Countries citing papers authored by Huiyan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Huiyan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Huiyan Jiang, 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 Huiyan Jiang Line = papers co-authored together Huiyan Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation
Hit paper breakdown →
2023135
2 2019100
3 202187
4 201981
5 202071
6 201858
7 201751
8 202151
9 200844
10 202136
11 201935
12 201933
13 201530
14 202030
15 202127
16 202326
17 201926
18 202123
19 201923
20 201222

About Huiyan Jiang

Huiyan Jiang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering and Molecular Biology, having authored 148 papers that have together received 1.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (38 papers), Medical Image Segmentation Techniques (35 papers), Medical Imaging Techniques and Applications (26 papers), AI in cancer detection (23 papers), Advanced Neural Network Applications (14 papers), Image Retrieval and Classification Techniques (13 papers), Chaos-based Image/Signal Encryption (11 papers) and Plant Gene Expression Analysis (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (559 citations), Biochemistry (153 citations), Health Informatics (30 citations), Radiology, Nuclear Medicine and Imaging (506 citations) and Neurology (156 citations). Huiyan Jiang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yudong Yao, Siqi Li, Tianyu Shi, Zhaoshuo Diao, Zongying Zhang, Nan Wang, Yicheng Wang, Zuolin Mao, Xuesen Chen and Shenghui Jiang. Their work appears in journals such as Computers in Biology and Medicine, BioMed Research International, IEEE Journal of Biomedical and Health Informatics, Computer Methods and Programs in Biomedicine and Physics in Medicine and Biology.

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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