Boxi Wu

1.7k citations
42 papers · 477 · 1 hit paper · h-index 10

Impact in

Papers in

Boxi Wu

41 papers receiving 458 citations

Boxi Wu's Hit Papers

CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attention 2023 · 157 citations
1570+1+2Years since publication50100150

Peers

Boxi Wu
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 232
  • Artificial Intelligence 147
  • Media Technology 40
  • Geology 17
  • Computer Graphics and Computer-Aided Design 10
Replace Minsoo Suk with:
Minsoo Suk United States
Dongseok Im South Korea
Chengcai Leng China
Byung-Uk Lee South Korea
Ramakrishna Kakarala Singapore
Weide Liu Singapore
Song-Chun Zhu United States
Jitesh Jain India
G. Scott United Kingdom
Gaihua Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Boxi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Boxi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attention
Hit paper breakdown →
2023157
2 202388
3 202337
4 202320
5 199318
6 199613
7 200411
8 202510
9 202310
10 20249
11 19979
12 20247
13 20246
14
Computerized plotting of low skin impedance points.
19926
15 19886
16 20056
17 20245
18 19955
19
Does Network Width Really Help Adversarial Robustness
20205
20 19955

About Boxi Wu

Boxi Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, having authored 42 papers that have together received 477 indexed citations. Recurring topics across this work include Neural Networks and Applications (13 papers), Advanced Neural Network Applications (6 papers), GaN-based semiconductor devices and materials (5 papers), Semiconductor Quantum Structures and Devices (4 papers), Neural dynamics and brain function (4 papers), Advanced Decision-Making Techniques (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Algorithms and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (232 citations), Artificial Intelligence (147 citations), Media Technology (40 citations), Geology (17 citations) and Computer Graphics and Computer-Aided Design (10 citations). Boxi Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaofei He, Binbin Lin, Wei Liu, Long Chen, Wei Chen, Wenxiao Wang, Jianwei Shuai, Ke Li, Minghao Chen and Haifeng Liu. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, IEEE Transactions on Image Processing, Chinese Physics Letters, Physics Letters A and Physical review. B, Condensed matter.

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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