Ziwei Wang

3.3k citations
126 papers · 2.0k · 1 hit paper · h-index 22

Impact in

Papers in

Ziwei Wang

116 papers receiving 2.0k citations

Ziwei Wang's Hit Papers

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration 2019 · 724 citations
7240+2+4Years since publication200400600

Peers

Ziwei Wang
Comparison fields: 5 of 152
  • Computer Vision and Pattern Recognition 1.0k
  • Computational Mathematics 20
  • Artificial Intelligence 688
  • Media Technology 98
  • Fuel Technology 7
Replace Lei Yang with:
Lei Yang United States
Tao Leí China
Yang Li China
Yahong Han China
Haibin Lin China
Qian Wang China
Amit Saxena India
Haibin Yu China
Yan Yan China
Ziwei Wang relative to Lei Yang United States Lei Yang's profile →
Citations per field
00.5×2.9×
Lei Yang · 1×
Citations per year

Countries citing papers authored by Ziwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ziwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
Hit paper breakdown →
2019724
2 202180
3 201962
4 201759
5 202251
6 202050
7 201749
8 201841
9 202235
10 202333
11 201931
12 202230
13 202227
14 202027
15 202126
16 201226
17 201825
18 202024
19 201724
20 202022

About Ziwei Wang

Ziwei Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Electrical and Electronic Engineering and Media Technology, having authored 126 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (24 papers), Advanced Neural Network Applications (15 papers), Domain Adaptation and Few-Shot Learning (12 papers), Robotics and Sensor-Based Localization (11 papers), Multimodal Machine Learning Applications (8 papers), Remote-Sensing Image Classification (8 papers), Advanced Vision and Imaging (7 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Computational Mathematics (20 citations), Artificial Intelligence (688 citations), Media Technology (98 citations) and Fuel Technology (7 citations). Ziwei Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yang He, Ping Liu, Yi Yang, Zhilan Hu, Jiwen Lu, Jie Zhou, Yong Qin, Yueqi Duan, Shimin Liu and Jianjiang Feng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Frontiers in Microbiology, Fuel, Electronic Commerce Research and Applications and International Journal of Computer Vision.

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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