Lei Yao

562 citations
31 papers · 354 · h-index 9

Impact in

Papers in

Lei Yao

27 papers receiving 343 citations

Peers

Lei Yao
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 141
  • Computational Mathematics 3
  • Cognitive Neuroscience 94
  • Conservation 15
  • Computer Graphics and Computer-Aided Design 12
Replace Malik Mallem with:
Malik Mallem France
Katsuhiko Sakaue Japan
Federico Becattini Italy
Erich Bruns Germany
Paul Upchurch United States
N. Abe Japan
Xin Min China
Chethan M. Parameshwara United States
Zhiwen Shao China
Lars Bretzner Sweden
Lei Yao relative to Malik Mallem France Malik Mallem's profile →
Citations per field
00.5×3.9×
Malik Mallem · 1×
Citations per year

Countries citing papers authored by Lei Yao

Since Specialization
Citations

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

Fields of papers citing papers by Lei Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201199
2 201780
3 201151
4 202120
5 202417
6 201414
7 201512
8
Cognate and Misspelling Features for Natural Language Identification
201310
9 201510
10 20086
11 20155
12 20194
13 20184
14 20233
15 20183
16 20103
17 20082
18 20152
19 20051
20 20241

About Lei Yao

Lei Yao is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 31 papers that have together received 354 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (5 papers), Advanced Wireless Communication Techniques (5 papers), Advanced Data Compression Techniques (4 papers), Algorithms and Data Compression (4 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Natural Language Processing Techniques (3 papers), Underwater Vehicles and Communication Systems (3 papers) and Mobile Ad Hoc Networks (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (141 citations), Computational Mathematics (3 citations), Cognitive Neuroscience (94 citations), Conservation (15 citations) and Computer Graphics and Computer-Aided Design (12 citations). Lei Yao has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include James Z. Wang, Leehter Yao, Jia Li, E. Hendriks, Mu Qiao, Jia Li, Grzegorz Kondrak, Kefu Yi, Jiangwen Wan and Garrett Nicolai. Their work appears in journals such as IEEE Communications Letters, Energies, IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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