Zhi Yang
- Cognitive Neuroscience top 2%
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 5%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Amir RastegarniaMd. Kafiul IslamWentai LiuMehmet Rasit YuceLinh HoangQi ZhaoMoo Sung ChaeTao Hai
- Topics
- Neuroscience and Neural Engineering (20 papers)Neural dynamics and brain function (19 papers)Advanced Memory and Neural Computing (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceMaterials Science and Engineering A
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Zhi Yang
76 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 131
- Cognitive Neuroscience 719
- Electrical and Electronic Engineering 538
- Cellular and Molecular Neuroscience 493
- Biomedical Engineering 407
- Computer Vision and Pattern Recognition 330
Countries citing papers authored by Zhi Yang
This map shows the geographic impact of Zhi 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 Zhi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhi Yang more than expected).
Fields of papers citing papers by Zhi Yang
This network shows the impact of papers produced by Zhi 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 Zhi Yang. The network helps show where Zhi Yang may publish in the future.
Co-authorship network of co-authors of Zhi Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhi Yang. A scholar is included among the top collaborators of Zhi 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 Zhi Yang. Zhi Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 5 | |
| 9 | 294 | |
| 10 | 50 | |
| 11 | 9 | |
| 12 | 24 | |
| 13 | Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording | 33 |
| 14 | 28 | |
| 15 | 267 | |
| 16 | 4 | |
| 17 | 101 | |
| 18 | 132 | |
| 19 | Spike Feature Extraction Using Informative Samples | 18 |
| 20 | 2 |
About Zhi Yang
Zhi Yang is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 90 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (20 papers), Neural dynamics and brain function (19 papers) and Advanced Memory and Neural Computing (16 papers). The work is most often cited by research in Cognitive Neuroscience (719 citations), Cellular and Molecular Neuroscience (493 citations) and Signal Processing (242 citations). Zhi Yang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Amir Rastegarnia, Md. Kafiul Islam, Wentai Liu, Mehmet Rasit Yuce, Linh Hoang, Qi Zhao, Moo Sung Chae, Tao Hai, Tung-Chien Chen and Feng Gong. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Materials Science and Engineering A.
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.