Nan Yang

446 total citations
34 papers, 208 citations indexed

About

Nan Yang is a scholar working on Artificial Intelligence, Information Systems and Cognitive Neuroscience. According to data from OpenAlex, Nan Yang has authored 34 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Cognitive Neuroscience. Recurrent topics in Nan Yang's work include Software Engineering Research (5 papers), Neural and Behavioral Psychology Studies (4 papers) and Non-Destructive Testing Techniques (3 papers). Nan Yang is often cited by papers focused on Software Engineering Research (5 papers), Neural and Behavioral Psychology Studies (4 papers) and Non-Destructive Testing Techniques (3 papers). Nan Yang collaborates with scholars based in China, Netherlands and Canada. Nan Yang's co-authors include Zohre Moradi, Mohamed Amine Khadimallah, Hadi Arvin, Alexander Serebrenik, R.R.H. Schiffelers, Jin You, Tetsuya Takiguchi, Jian Wang, Johan J. Lukkien and Pjl Pieter Cuijpers and has published in prestigious journals such as Psychological Science, Expert Systems with Applications and Psychophysiology.

In The Last Decade

Nan Yang

28 papers receiving 197 citations

Peers

Nan Yang
Comparison fields: 5 of 70
  • Cognitive Neuroscience 41
  • Mechanics of Materials 35
  • Computer Vision and Pattern Recognition 29
  • Artificial Intelligence 28
  • Information Systems 24
Replace Saad Arif with:
Saad Arif Pakistan
Namrata Srivastava Australia
Guangtao Zhang Denmark
Xinnian Wang China
Jifeng Guo China
Heming Du Australia
Sunghan Kim South Korea
Jorge-Luis Pérez-Medina Ecuador
Cássia Valentini Botinhão United Kingdom
Nastaran Mohammadian Rad Netherlands
Saad Arif Pakistan View profile →
Citations per field, relative to Nan Yang
Nan Yang · 1×
Citations per year, relative to Nan Yang
Nan Yang · 1×

Countries citing papers authored by Nan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Nan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Yang. A scholar is included among the top collaborators of Nan Yang 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 Nan Yang. Nan Yang 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 0
2 15
3 1
4 0
5 0
6 2
7 3
8 8
9 9
10 4
11 12
12 27
13 9
14 3
15 2
16
Maximum Likelihood Detection for Collaborative Molecular Communication.
2
17 15
18 1
19 26
20 6

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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