Xiaoming Wei

3.5k citations
94 papers · 2.6k · 1 hit paper · h-index 24

Impact in

Papers in

Xiaoming Wei

85 papers receiving 2.5k citations

Xiaoming Wei's Hit Papers

Rethinking BiSeNet For Real-time Semantic Segmentation 2021 · 559 citations
5590+1+3Years since publication100200300400500

Peers

Xiaoming Wei
Comparison fields: 5 of 155
  • Computer Graphics and Computer-Aided Design 196
  • Computer Vision and Pattern Recognition 962
  • Sensory Systems 173
  • Analytical Chemistry 234
  • Ocean Engineering 236
Replace Muwei Jian with:
Muwei Jian China
Ralph R. Martin United Kingdom
Yun Liu China
Masood Dehghan Canada
Chenyang Huang Canada
Shanghua Gao China
Tai‐Jiang Mu China
Esa Rahtu Finland
Zichen Zhang China
Xiaoming Wei relative to Muwei Jian China Muwei Jian's profile →
Citations per field
00.5×5×10.2×
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 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Rethinking BiSeNet For Real-time Semantic Segmentation
Hit paper breakdown →
2021559
2 2003146
3 2011144
4 2013144
5 2021133
6 2020113
7 2012101
8 202386
9 201571
10 202167
11 201358
12 200456
13 202252
14 200247
15 201339
16 202339
17 201238
18 201635
19 202232
20 202332

About Xiaoming Wei

Xiaoming Wei is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Ocean Engineering and Genetics, having authored 94 papers that have together received 2.6k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (13 papers), Lattice Boltzmann Simulation Studies (8 papers), Generative Adversarial Networks and Image Synthesis (7 papers), Multimodal Machine Learning Applications (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Advanced Neural Network Applications (6 papers), Enhanced Oil Recovery Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (196 citations), Computer Vision and Pattern Recognition (962 citations), Sensory Systems (173 citations), Analytical Chemistry (234 citations) and Ocean Engineering (236 citations). Xiaoming Wei has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Xiaolin K. Wei, Junshi Huang, Arie E. Kaufman, Zhenhua Chai, Shenqi Lai, Mingyuan Fan, Wei Li, Mueller Klaus, Lei Li and Tao Yang. Their work appears in journals such as Clinica Chimica Acta, Gene, PLoS ONE, 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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