Hang Lv

650 total citations
27 papers, 388 citations indexed

About

Hang Lv is a scholar working on Artificial Intelligence, Signal Processing and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Hang Lv has authored 27 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 12 papers in Signal Processing and 3 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Hang Lv's work include Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (10 papers) and Music and Audio Processing (8 papers). Hang Lv is often cited by papers focused on Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (10 papers) and Music and Audio Processing (8 papers). Hang Lv collaborates with scholars based in China, United States and Singapore. Hang Lv's co-authors include Lei Xie, Jinchun Zhang, Chao Yang, Zhendong Peng, Sanjeev Khudanpur, Daniel Povey, Yiming Wang, Jin Fan, Jiang Jian and Pengcheng Guo and has published in prestigious journals such as Scientific Reports, Reliability Engineering & System Safety and Knowledge-Based Systems.

In The Last Decade

Hang Lv

25 papers receiving 367 citations

Peers

Hang Lv
Comparison fields: 5 of 57
  • Artificial Intelligence 275
  • Signal Processing 202
  • Safety, Risk, Reliability and Quality 36
  • Transportation 26
  • Computer Vision and Pattern Recognition 24
Replace Hartmut Helmke with:
Hartmut Helmke Germany
Mohammad Shokoohi-Yekta United States
Maram Fahhad Almufareh Malaysia
Jesús L. Lobo Spain
Zhihan Yue China
Tianmeng Yang China
Choudur Lakshminarayan United States
Fu Jiang China
Mark van der Wilk United Kingdom
Ruochen Hao China
Hartmut Helmke Germany View profile →
Citations per field, relative to Hang Lv
Hang Lv · 1×
Citations per year, relative to Hang Lv
Hang Lv · 1×

Countries citing papers authored by Hang Lv

Since Specialization
Citations

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

Fields of papers citing papers by Hang Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Lv. A scholar is included among the top collaborators of Hang Lv based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hang Lv. Hang Lv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 3
4 54
5 9
6 3
7 3
8 40
9 1
10 2
11 0
12 21
13 37
14 6
15 3
16 14
17
The NNI Query-by-Example System for MediaEval 2015
15
18 15
19
The NNI Query-by-Example System for MediaEval 2014
19
20 1

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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