Xiaoming Wei

3.4k citations
82 papers · 2.1k · 1 hit paper · h-index 21

Impact in

Papers in

Xiaoming Wei

72 papers receiving 2.1k citations

Xiaoming Wei's Hit Papers

Rethinking BiSeNet For Real-time Semantic Segmentation 2021 · 512 citations
5120+1+3Years since publication100200300400500

Peers

Xiaoming Wei
Comparison fields: 5 of 149
  • Computer Graphics and Computer-Aided Design 179
  • Computer Vision and Pattern Recognition 827
  • Sensory Systems 158
  • Analytical Chemistry 232
  • Ocean Engineering 229
Replace Muwei Jian with:
Muwei Jian China
Shengfeng He China
Yun Liu China
Masood Dehghan Singapore
Chenyang Huang Canada
Tai‐Jiang Mu China
Dongyoon Han South Korea
Esa Rahtu Finland
Yandong Tang China
Shanghua Gao China
Xiaoming Wei relative to Muwei Jian China Muwei Jian's profile →
Citations per field
00.5×10.1×
Muwei Jian · 1×
Citations per year

Countries citing papers authored by Xiaoming Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Rethinking BiSeNet For Real-time Semantic Segmentation
Hit paper breakdown →
2021512
2 2003139
3 2011137
4 2013132
5 2021118
6 2020102
7 201298
8 202373
9 201571
10 202157
11 200448
12 202246
13 200243
14 201636
15 201335
16 202231
17 201528
18 201526
19 202323
20 201720

About Xiaoming Wei

Xiaoming Wei is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Computer Graphics and Computer-Aided Design, Computational Mechanics and Genetics, having authored 82 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (13 papers), Lattice Boltzmann Simulation Studies (8 papers), Multimodal Machine Learning Applications (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Generative Adversarial Networks and Image Synthesis (7 papers), Enhanced Oil Recovery Techniques (6 papers), Petroleum Processing and Analysis (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (179 citations), Computer Vision and Pattern Recognition (827 citations), Sensory Systems (158 citations), Analytical Chemistry (232 citations) and Ocean Engineering (229 citations). Xiaoming Wei has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Xiaolin Wei, Junshi Huang, Arie Kaufman, Shenqi Lai, Zhenhua Chai, Mingyuan Fan, Wei Li, Klaus Mueller, Tao Yang and Hao Wu. Their work appears in journals such as Clinica Chimica Acta, PLoS ONE, Gene, Journal of Applied Polymer Science and Frontiers in Genetics.

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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