Lan Wang

1.0k citations
63 papers · 663 · h-index 14

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Speech and dialogue systems

Papers in

Lan Wang

60 papers receiving 617 citations

Peers

Lan Wang
Comparison fields: 5 of 90
  • Signal Processing 183
  • Artificial Intelligence 379
  • Computer Vision and Pattern Recognition 220
  • Experimental and Cognitive Psychology 104
  • Human-Computer Interaction 13
Replace Nicolas Boulanger-Lewandowski with:
Nicolas Boulanger-Lewandowski Canada
Anastasis Kounoudes Greece
Ruhul Amin Khalil Pakistan
Xiaoming Liu China
Young-Tack Park South Korea
Yanhao Zhang China
Songtao Ding China
Claude C. Chibelushi United Kingdom
Anil Kumar Budati India
Maria E. Niessen Netherlands
Lan Wang relative to Nicolas Boulanger-Lewandowski Canada Nicolas Boulanger-Lewandowski's profile →
Citations per field
00.5×3.9×
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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201666
2 200753
3 202052
4 201048
5 201346
6 202145
7 201431
8 200829
9 201918
10 202317
11 201617
12 200716
13 200515
14 201013
15 201112
16 201411
17 201811
18 20179
19 20089
20 20009

About Lan Wang

Lan Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Experimental and Cognitive Psychology and Aerospace Engineering, having authored 63 papers that have together received 663 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), Human Pose and Action Recognition (6 papers), Natural Language Processing Techniques (6 papers), Speech and dialogue systems (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Signal Processing (183 citations), Artificial Intelligence (379 citations), Computer Vision and Pattern Recognition (220 citations), Experimental and Cognitive Psychology (104 citations) and Human-Computer Interaction (13 citations). Lan Wang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Helen Meng, Qiang Zhang, Philip C. Woodland, Changjun Zhou, Xiaopeng Wei, Chenqiang Gao, Mark Gales, Kai Yu, Pei Li and Zhihua Xia. Their work appears in journals such as Optik, SpringerPlus, Scientific Reports, Speech Communication 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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