Huadeng Wang

426 citations
37 papers · 284 · h-index 9

Impact in

Papers in

Huadeng Wang

28 papers receiving 266 citations

Peers

Huadeng Wang
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 130
  • Radiology, Nuclear Medicine and Imaging 94
  • Neurology 35
  • Acoustics and Ultrasonics 3
  • Artificial Intelligence 114
Replace Renjun Shuai with:
Renjun Shuai China
Thomas M. Deserno Germany
M. Ramya India
Min Beom Lee South Korea
Ashkan Tashk Iran
Kwabena Adu Ghana
Manisha Saini India
Gaurav Kumar India
Constantin Seibold Germany
Somsak Choomchuay Thailand
Huadeng Wang relative to Renjun Shuai China Renjun Shuai's profile →
Citations per field
00.5×1.7×
Renjun Shuai · 1×
Citations per year

Countries citing papers authored by Huadeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Huadeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202153
2 202343
3 202238
4 202133
5 202221
6 200918
7 201815
8 202012
9 20248
10 20218
11 20235
12 20234
13 20233
14 20203
15 20223
16 20242
17 20202
18 20102
19 20251
20 20231

About Huadeng Wang

Huadeng Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Information Systems and Ophthalmology, having authored 37 papers that have together received 284 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Digital Imaging for Blood Diseases (8 papers), Retinal Imaging and Analysis (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Image Segmentation Techniques (4 papers), Retinal and Optic Conditions (4 papers), Advanced Neural Network Applications (2 papers) and Medical Imaging and Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (130 citations), Radiology, Nuclear Medicine and Imaging (94 citations), Neurology (35 citations), Acoustics and Ultrasonics (3 citations) and Artificial Intelligence (114 citations). Huadeng Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xipeng Pan, Rushi Lan, Zhenbing Liu, Xiaonan Luo, Lingqiao Li, Guang Xu, Zaiyi Liu, Zhizhen Wang, Xiwang Xie and Zimin Wang. Their work appears in journals such as Computers & Electrical Engineering, Biomedical Signal Processing and Control, IEEE Transactions on Artificial Intelligence, Artificial Intelligence in Medicine and IEEE Signal Processing Letters.

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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