Wenle Wang

48 papers receiving 2.4k citations

Wenle Wang's Hit Papers

SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation 2021 · 282 citations
2820+1+3Years since publication50100150200250

Peers

Wenle Wang
Comparison fields: 5 of 155
  • Pulmonary and Respiratory Medicine 763
  • Gastroenterology 120
  • Neurology 150
  • Radiology, Nuclear Medicine and Imaging 351
  • Ophthalmology 126
Replace Wei Qian with:
Wei Qian China
Yuhang Zhang China
Zhenyu Zhang China
Hong Shen China
Patrick Wagner United States
Bernard Gosselin France
Kunlun He China
Xiaowei Zhan United States
Jun S. Wei United States
Geng Tian China
Wenle Wang relative to Wei Qian China Wei Qian's profile →
Citations per field
00.5×1.5×1.8×
Wei Qian · 1×
Citations per year

Countries citing papers authored by Wenle Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wenle Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000338
2
SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation
Hit paper breakdown →
2021282
3 2013265
4 2008254
5 2011157
6 2001156
7 2018135
8 200796
9 202091
10 200847
11 200546
12 201446
13 200946
14 202145
15 200843
16 200841
17 200636
18 200833
19 200132
20 200928

About Wenle Wang

Wenle Wang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 53 papers that have together received 2.4k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (6 papers), Computer Graphics and Visualization Techniques (4 papers), Digital Imaging for Blood Diseases (3 papers), Vibrio bacteria research studies (3 papers), Anomaly Detection Techniques and Applications (3 papers), Face and Expression Recognition (3 papers), Prostate Cancer Treatment and Research (3 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (763 citations), Gastroenterology (120 citations), Neurology (150 citations), Radiology, Nuclear Medicine and Imaging (351 citations) and Ophthalmology (126 citations). Wenle Wang has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Jonathan I. Epstein, Alessio Fasano, Sergio Uzzau, Simeon E. Goldblum, Yugen Yi, Changlu Guo, Márton Szemenyei, George J. Netto, Nilesh Gupta and Jessica Hicks. Their work appears in journals such as The American Journal of Surgical Pathology, The Journal of Urology, International Journal of Intelligent Systems, Wireless Communications and Mobile Computing and Biotechnology and Applied Biochemistry.

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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