Xiaoming Wei

3.3k citations
82 papers · 2.1k · 1 hit paper · h-index 21

Impact in

Papers in

Xiaoming Wei

73 papers receiving 2.0k citations

Xiaoming Wei's Hit Papers

Rethinking BiSeNet For Real-time Semantic Segmentation 2021 · 494 citations
4940+1+3Years since publication100200300400

Peers

Xiaoming Wei
Comparison fields: 5 of 154
  • Computer Graphics and Computer-Aided Design 178
  • Computer Vision and Pattern Recognition 806
  • Sensory Systems 157
  • Analytical Chemistry 226
  • Ocean Engineering 228
Replace Muwei Jian with:
Muwei Jian China
Shengfeng He China
Ralph R. Martin United Kingdom
Masood Dehghan Singapore
Chenyang Huang Canada
Yun Liu China
Tai‐Jiang Mu China
Dongyoon Han South Korea
Shanghua Gao China
Esa Rahtu Finland
Xiaoming Wei relative to Muwei Jian China Muwei Jian's profile →
Citations per field
00.5×10.3×
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 →
2021494
2 2003139
3 2011134
4 2013131
5 2021117
6 202097
7 201296
8 201569
9 202360
10 202155
11 200448
12 200242
13 202242
14 201335
15 201635
16 201528
17 202228
18 201526
19 202322
20 200521

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), Generative Adversarial Networks and Image Synthesis (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Enhanced Oil Recovery Techniques (6 papers), Genomic variations and chromosomal abnormalities (6 papers) and Hydrocarbon exploration and reservoir analysis (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (178 citations), Computer Vision and Pattern Recognition (806 citations), Sensory Systems (157 citations), Analytical Chemistry (226 citations) and Ocean Engineering (228 citations). Xiaoming Wei has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Xiaolin Wei, Junshi Huang, Arie Kaufman, Zhenhua Chai, Shenqi Lai, Mingyuan Fan, Wei Li, Klaus Mueller, Lei Li and Tao Yang. Their work appears in journals such as Clinica Chimica Acta, PLoS ONE, Industrial & Engineering Chemistry Research, Gene and Journal of Applied Polymer Science.

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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