Su Yang

1.2k citations
45 papers · 798 · h-index 12

Impact in

  • Neurology top 10%
    • Brain Tumor Detection and Classification
    • EEG and Brain-Computer Interfaces
    • Functional Brain Connectivity Studies

Papers in

Su Yang

37 papers receiving 777 citations

Peers

Su Yang
Comparison fields: 5 of 92
  • Neurology 99
  • Cognitive Neuroscience 233
  • Experimental and Cognitive Psychology 122
  • Computer Vision and Pattern Recognition 189
  • Health Information Management 28
Replace Tharindu Fernando with:
Tharindu Fernando Australia
Türker Tuncer Türkiye
Jingyu Liu China
Hashem Kalbkhani Iran
Amir Aminifar Sweden
Palani Thanaraj Krishnan India
Mohammad-Parsa Hosseini United States
Xinchun Cui China
Hongmei Yan China
Su Yang relative to Tharindu Fernando Australia Tharindu Fernando's profile →
Citations per field
00.5×2.5×
Tharindu Fernando · 1×
Citations per year

Countries citing papers authored by Su Yang

Since Specialization
Citations

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

Fields of papers citing papers by Su Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020174
2 2019122
3 2021101
4 201985
5 201951
6 202228
7 202127
8 201927
9 202322
10 202220
11 202318
12 202013
13 20239
14 20209
15 20218
16 20208
17 20227
18 20217
19 20227
20 20187

About Su Yang

Su Yang is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Surgery, Artificial Intelligence and Electrical and Electronic Engineering, having authored 45 papers that have together received 798 indexed citations. Recurring topics across this work include Surgical Simulation and Training (7 papers), EEG and Brain-Computer Interfaces (7 papers), Advanced Memory and Neural Computing (6 papers), Neural dynamics and brain function (6 papers), Functional Brain Connectivity Studies (5 papers), Chaos-based Image/Signal Encryption (5 papers), Blind Source Separation Techniques (3 papers) and Advanced Steganography and Watermarking Techniques (3 papers). The work is most often cited by research in Neurology (99 citations), Cognitive Neuroscience (233 citations), Experimental and Cognitive Psychology (122 citations), Computer Vision and Pattern Recognition (189 citations) and Health Information Management (28 citations). Su Yang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Junxiu Liu, Yuling Luo, Yifei Bi, Senhui Qiu, Wei Li, KongFatt Wong‐Lin, José M. Sánchez‐Bornot, Girijesh Prasad, Lvchen Cao and Jiadong Huang. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Neurocomputing, Journal of Surgical Research, Journal of Reconstructive Microsurgery and IEEE Transactions on Vehicular Technology.

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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