Ling He

21 papers receiving 377 citations

Peers

Ling He
Comparison fields: 5 of 94
  • Control and Systems Engineering 161
  • Biological Psychiatry 16
  • Developmental Neuroscience 21
  • Neurology 33
  • Cellular and Molecular Neuroscience 67
Replace Zhengda Wang with:
Zhengda Wang China
Cheolkeun Ha South Korea
Hiram Firpi United States
Jin Sweden
Songhua Ma China
Wei Ren China
Yifeng Jiang China
Yun Hwa Hong South Korea
Ling He relative to Zhengda Wang China Zhengda Wang's profile →
Citations per field
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Zhengda Wang · 1×
Citations per year

Countries citing papers authored by Ling He

Since Specialization
Citations

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

Fields of papers citing papers by Ling He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016193
2 2015103
3 201718
4 202015
5 202310
6 20217
7 20236
8 20086
9 20015
10
An Energy Modulated Watermarking Algorithm Based on Watson Perceptual Model
20065
11
Emotion recognition in natural speech using empirical mode decomposition and Renyi entropy
20093
12 20012
13 20202
14 20132
15
Using 3D Video Game Scenarios and Artificial Neural Networks to Classify Brain States for a Brain Computer Interface
20101
16 20251
17 20211
18 20131
19 20171
20 20181

About Ling He

Ling He is a scholar working on Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience, Artificial Intelligence, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 24 papers that have together received 384 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Neural dynamics and brain function (4 papers), Neuroscience and Neural Engineering (3 papers), Machine Learning and ELM (2 papers), Speech and Audio Processing (2 papers), Image and Signal Denoising Methods (2 papers), Machine Fault Diagnosis Techniques (2 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Control and Systems Engineering (161 citations), Biological Psychiatry (16 citations), Developmental Neuroscience (21 citations), Neurology (33 citations) and Cellular and Molecular Neuroscience (67 citations). Ling He has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wentao Mao, Jinwan Wang, Guoqi Zhu, Junyao Li, Xuncui Wang, Xiaoqi Hong, Peter W. Tse, Xiao Li, Tong Lin and Qianqian Gao. Their work appears in journals such as iScience, British Journal of Pharmacology, Journal of Neuroscience, International Journal of Molecular Sciences and INFORMS journal on computing.

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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