Lan Wang

1.1k citations
65 papers · 681 · 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

61 papers receiving 634 citations

Peers

Lan Wang
Comparison fields: 5 of 89
  • Signal Processing 184
  • Artificial Intelligence 384
  • Computer Vision and Pattern Recognition 226
  • 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
Young-Tack Park South Korea
Yanhao Zhang China
Claude C. Chibelushi United Kingdom
Anil Kumar Budati India
Yuxin Zhang China
Joan Claudi Socoró Spain
Lan Wang relative to Nicolas Boulanger-Lewandowski Canada Nicolas Boulanger-Lewandowski's profile →
Citations per field
00.5×3.6×
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 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201668
2 202055
3 200754
4 201049
5 201346
6 202145
7 201431
8 200830
9 202318
10 201918
11 201617
12 200716
13 200515
14 201013
15 201812
16 201112
17 201411
18 201710
19 20239
20 20089

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 65 papers that have together received 681 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 (6 papers), Natural Language Processing Techniques (6 papers) and Speech and dialogue systems (6 papers). The work is most often cited by research in Signal Processing (184 citations), Artificial Intelligence (384 citations), Computer Vision and Pattern Recognition (226 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, Pei Li, Kai Yu and Zhihua Xia. Their work appears in journals such as Optik, IEEE Transactions on Speech and Audio Processing, Multimedia Tools and Applications, Speech Communication and Water.

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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