Zhen-Hua Ling

8.6k total citations
247 papers, 3.5k citations indexed

About

Zhen-Hua Ling is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Zhen-Hua Ling has authored 247 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 217 papers in Artificial Intelligence, 148 papers in Signal Processing and 26 papers in Experimental and Cognitive Psychology. Recurrent topics in Zhen-Hua Ling's work include Speech Recognition and Synthesis (166 papers), Speech and Audio Processing (144 papers) and Music and Audio Processing (72 papers). Zhen-Hua Ling is often cited by papers focused on Speech Recognition and Synthesis (166 papers), Speech and Audio Processing (144 papers) and Music and Audio Processing (72 papers). Zhen-Hua Ling collaborates with scholars based in China, United Kingdom and Canada. Zhen-Hua Ling's co-authors include Li-Rong Dai, Junichi Yamagishi, Ren-Hua Wang, Si Wei, Xiaodan Zhu, Korin Richmond, Ling-Hui Chen, Li Deng, Lijuan Liu and Tomoki Toda and has published in prestigious journals such as Scientific Reports, Cerebral Cortex and The Journal of the Acoustical Society of America.

In The Last Decade

Zhen-Hua Ling

222 papers receiving 3.2k citations

Peers

Zhen-Hua Ling
Comparison fields: 5 of 115
  • Artificial Intelligence 2.9k
  • Signal Processing 2.0k
  • Computer Vision and Pattern Recognition 452
  • Experimental and Cognitive Psychology 343
  • Cognitive Neuroscience 154
Replace Arnab Ghoshal with:
Arnab Ghoshal United States
Xuedong Huang United States
Guoguo Chen United States
Yanmin Qian China
S. R. Mahadeva Prasanna India
Frank K. Soong China
Heiga Zen Japan
Thomas Hain United Kingdom
Sadaoki Furui Japan
Zhizheng Wu China
Arnab Ghoshal United States View profile →
Citations per field, relative to Zhen-Hua Ling
Zhen-Hua Ling · 1×
Citations per year, relative to Zhen-Hua Ling
Zhen-Hua Ling · 1×

Countries citing papers authored by Zhen-Hua Ling

Since Specialization
Citations

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

Fields of papers citing papers by Zhen-Hua Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhen-Hua Ling. 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 Zhen-Hua Ling. The network helps show where Zhen-Hua Ling may publish in the future.

Co-authorship network of co-authors of Zhen-Hua Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen-Hua Ling. A scholar is included among the top collaborators of Zhen-Hua Ling 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 Zhen-Hua Ling. Zhen-Hua Ling 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 0
3 0
4 0
5 6
6 2
7 0
8 0
9 4
10 6
11 3
12 1
13 5
14 0
15 48
16 1
17 1
18 2
19 184
20 2

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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