Lan Wang

1.1k citations
68 papers · 839 · h-index 16

Impact in

Papers in

    • Speech and Audio Processing 18
    • Music and Audio Processing 9
    • Speech Recognition and Synthesis 24
    • Speech and dialogue systems 6
    • Natural Language Processing Techniques 6

Lan Wang

66 papers receiving 789 citations

Peers

Lan Wang
Comparison fields: 5 of 95
  • Signal Processing 201
  • Computer Vision and Pattern Recognition 295
  • Artificial Intelligence 460
  • Experimental and Cognitive Psychology 112
  • Information Systems 99
Replace Nicolas Boulanger-Lewandowski with:
Nicolas Boulanger-Lewandowski Canada
Aggelos Pikrakis Greece
Ian Richard Lane United States
Sunil Kumar Kopparapu India
Wanting Ji China
Wayne Xiong United Kingdom
Young-Tack Park South Korea
Amr El-Desoky Mousa Germany
Xiaoming Liu China
Mohammad Mehdi Homayounpour Iran
Lan Wang relative to Nicolas Boulanger-Lewandowski Canada Nicolas Boulanger-Lewandowski's profile →
Citations per field
00.5×2×3×4×5×
Nicolas Boulanger-Lewandowski · 1×
Citations per year

Countries citing papers authored by Lan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201679
2 202062
3 202255
4 200755
5 201054
6 201351
7 202149
8 201438
9 200831
10 201824
11 202320
12 200519
13 201918
14 201617
15 201016
16 200716
17 201114
18 201813
19 201711
20 201411

About Lan Wang

Lan Wang is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 68 papers that have together received 839 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (24 papers), Speech and Audio Processing (18 papers), Phonetics and Phonology Research (10 papers), Music and Audio Processing (9 papers), Advanced Image and Video Retrieval Techniques (7 papers), Human Pose and Action Recognition (7 papers), Speech and dialogue systems (6 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Signal Processing (201 citations), Computer Vision and Pattern Recognition (295 citations), Artificial Intelligence (460 citations), Experimental and Cognitive Psychology (112 citations) and Information Systems (99 citations). Lan Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Helen M. L. Meng, Q. Q. Zhang, Chenqiang Gao, Philip C. Woodland, Changjun Zhou, Xiaopeng Wei, Mark Gales, Pei Xian Li, Huiyuan Chen and Kai Yu. Their work appears in journals such as Optik, Scientific Reports, SpringerPlus, IEEE Transactions on Speech and Audio Processing and IEEE Transactions on Network Science and 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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