Xiaoming Wei

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

Xiaoming Wei

73 papers receiving 2.0k citations

Hit Papers

Rethinking BiSeNet For Real-time Semantic Segmentation4942021202620222024100200300400

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-authorship network

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
#Work
1 20242
2 20241
3 20233
4 20233
5
Rethinking BiSeNet For Real-time Semantic Segmentationbreakdown →
2021494
6
Enhanced Normalized Mean Error loss for Robust Facial Landmark detection.
20193
7 20163
8 201526
9 20145
10 20137
11 201218
12 201216
13 20118
14
A detail+context approach to visualize function calls
20081
15
Research on product configuration cases evaluation model
20060
16 200448
17
The research and development on mechanical product model
20030
18 200320
19 200242
20 20018

About Xiaoming Wei

Xiaoming Wei is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Sensory Systems, 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), Generative Adversarial Networks and Image Synthesis (7 papers), Multimodal Machine Learning Applications (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Genomic variations and chromosomal abnormalities (6 papers), Enhanced Oil Recovery Techniques (6 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 (178 citations), Computer Vision and Pattern Recognition (806 citations) and Sensory Systems (157 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, 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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