Ao Wang

15 papers receiving 414 citations

Ao Wang's Hit Papers

Rep ViT: Revisiting Mobile CNN From ViT Perspective 2024 · 244 citations
2440+1Years since publication50100150200

Peers

Ao Wang
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 123
  • Geophysics 62
  • Environmental Engineering 63
  • Ocean Engineering 62
  • Media Technology 23
Replace Zhenxin Zhang with:
Zhenxin Zhang China
Xiaogang Song China
Eric Rigall China
Shuwei Li China
Mehmet Sezgin Türkiye
Tianyun Su China
P. Mallikarjuna India
Chunling Shan Sweden
Ao Wang relative to Zhenxin Zhang China Zhenxin Zhang's profile →
Citations per field
00.5×3.6×
Zhenxin Zhang · 1×
Citations per year

Countries citing papers authored by Ao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Rep ViT: Revisiting Mobile CNN From ViT Perspective
Hit paper breakdown →
2024244
2 202242
3 202433
4 201528
5 201627
6 201921
7 20235
8 20234
9 20244
10 20243
11 20213
12 20252
13 20102
14
Prediction of Land Subsidence of Soft Soil in Foshan City with GMS
20091
15 20251
16 20250
17 20240

About Ao Wang

Ao Wang is a scholar working on Environmental Engineering, Computer Vision and Pattern Recognition, Ecology, Ocean Engineering and Artificial Intelligence, having authored 17 papers that have together received 420 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (4 papers), Remote Sensing in Agriculture (3 papers), Seismic Imaging and Inversion Techniques (2 papers), Seismic Waves and Analysis (2 papers), Methane Hydrates and Related Phenomena (2 papers), Geophysics and Sensor Technology (2 papers), Optical Systems and Laser Technology (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (123 citations), Geophysics (62 citations), Environmental Engineering (63 citations), Ocean Engineering (62 citations) and Media Technology (23 citations). Ao Wang has collaborated with scholars based in China, Germany and Malawi. Frequent co-authors include Jungong Han, Zijia Lin, Guiguang Ding, Hui Chen, Shuo Shi, Chao Shen, Lin Du, Wei Gong, Jian Yang and Zongbo Xu. Their work appears in journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Remote Sensing, The Photogrammetric Record, Urban forestry & urban greening and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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