Haofei Xu

2.2k citations
25 papers · 1.4k indexed · 2 hit papers · h-index 15

Impact in

Papers in

Haofei Xu

23 papers receiving 1.3k citations

Hit Papers

GMFlow: Learning Optical Flow via Global Matching 2022 · 205 citations
2052020202620222024100200300

Peers

Haofei Xu
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 669
  • Acoustics and Ultrasonics 27
  • Electronic, Optical and Magnetic Materials 390
  • Media Technology 173
  • Aerospace Engineering 321
Replace C. Brosseau with:
C. Brosseau France
Song Hu China
Jianqi Zhang China
Jinyun Zhou China
Chenning Tao China
Jianshe Ma China
Elena Stoykova Bulgaria
Matthias Rüther Austria
Xinan Liang Singapore
Ruijia Xu China
Haofei Xu relative to C. Brosseau France C. Brosseau's profile →
Citations per field
00.5×4.6×
C. Brosseau · 1×
Citations per year

Countries citing papers authored by Haofei Xu

Since Specialization
Citations

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

Fields of papers citing papers by Haofei Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 202420
5 20247
6 202347
7 202393
8
GMFlow: Learning Optical Flow via Global Matching
Hit paper breakdown →
2022205
9 20227
10 202233
11 202114
12 202149
13 202118
14 202128
15
AANet: Adaptive Aggregation Network for Efficient Stereo Matching
Hit paper breakdown →
2020348
16 20204
17 2019209
18 20197
19 2018134
20 201852

About Haofei Xu

Haofei Xu is a scholar working on Acoustics and Ultrasonics, Electronic, Optical and Magnetic Materials, Media Technology, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metamaterials and Metasurfaces Applications (8 papers), Advanced Vision and Imaging (7 papers), Plasmonic and Surface Plasmon Research (4 papers), Transition Metal Oxide Nanomaterials (3 papers), Perovskite Materials and Applications (3 papers), Conducting polymers and applications (3 papers), Image Enhancement Techniques (3 papers) and Random lasers and scattering media (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (669 citations), Acoustics and Ultrasonics (27 citations), Electronic, Optical and Magnetic Materials (390 citations), Media Technology (173 citations) and Aerospace Engineering (321 citations). Haofei Xu has collaborated with scholars based in China, Australia and Switzerland. Frequent co-authors include Juyong Zhang, Zhang‐Kai Zhou, Jianfei Cai, Dacheng Tao, Hamid Rezatofighi, Ying Yu, Yanjun Bao, Jing Zhang, Juntao Li and Xuehua Wang. Their work appears in journals such as Laser & Photonics Review, Photonics Research, Chemical Engineering Journal, Advanced Functional Materials and Nanoscale.

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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