Wei Lai

2.1k citations
76 papers · 1.2k · h-index 16

Impact in

Papers in

Wei Lai

64 papers receiving 1.1k citations

Peers

Wei Lai
Comparison fields: 5 of 127
  • Computer Vision and Pattern Recognition 628
  • Computer Graphics and Computer-Aided Design 73
  • Signal Processing 215
  • Information Systems 307
  • Human-Computer Interaction 67
Replace Pak Chung Wong with:
Pak Chung Wong United States
Ying Zhao China
Vittorio Castelli United States
Tommy Dang United States
Jizhong Han China
Florian Mansmann Germany
Stefan Schrödl Germany
Harald Piringer Austria
Jibonananda Sanyal United States
Wei Lai relative to Pak Chung Wong United States Pak Chung Wong's profile →
Citations per field
00.5×3.3×
Pak Chung Wong · 1×
Citations per year

Countries citing papers authored by Wei Lai

Since Specialization
Citations

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

Fields of papers citing papers by Wei Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995328
2 2004119
3 200673
4 200771
5 202062
6 200958
7 200754
8 200852
9 200744
10 200541
11 201435
12 200728
13 201126
14 200825
15
Force-transfer: a new approach to removing overlapping nodes in graph layout
200318
16
A Useful Visualization Technique: A Literature Review for Augmented Reality and its Application, limitation & future direction.
200916
17 200215
18 200715
19
A framework of filtering, clustering and dynamic layout graphs for visualization
200512
20 201212

About Wei Lai

Wei Lai is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Visualization and Analytics (20 papers), Web Data Mining and Analysis (15 papers), Data Management and Algorithms (9 papers), Complex Network Analysis Techniques (8 papers), Video Analysis and Summarization (8 papers), Multimedia Communication and Technology (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Caching and Content Delivery (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (628 citations), Computer Graphics and Computer-Aided Design (73 citations), Signal Processing (215 citations), Information Systems (307 citations) and Human-Computer Interaction (67 citations). Wei Lai has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Peter Eades, Kozo Sugiyama, Kazuo Misue, Xiaodi Huang, Michael W. Berry, Ramin Homayouni, Xian‐Sheng Hua, Shipeng Li, Rui Cai and Tao Mei. Their work appears in journals such as Journal of Visual Languages & Computing, Bioinformatics, Information Sciences, Knowledge-Based Systems and Ocean Engineering.

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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