Shiwei Wang
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Biomedical Engineering top 10%
- Materials Chemistry
- Co-authors
- Carolina Mora LópezNick Van HelleputteJan PutzeysMarco BalliniChris Van HoofBogdan RaducanuAlexandru AndreiRefet Fırat Yazıcıoğlu
- Topics
- Neuroscience and Neural Engineering (29 papers)Advanced Memory and Neural Computing (28 papers)Analog and Mixed-Signal Circuit Design (15 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceElectrical and Electronic Engineering
- Journals
- Advanced MaterialsJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited KingdomBelgium
In The Last Decade
Shiwei Wang
86 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 130
- Electrical and Electronic Engineering 645
- Cellular and Molecular Neuroscience 536
- Cognitive Neuroscience 407
- Biomedical Engineering 320
- Materials Chemistry 88
Countries citing papers authored by Shiwei Wang
This map shows the geographic impact of Shiwei Wang'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 Shiwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiwei Wang more than expected).
Fields of papers citing papers by Shiwei Wang
This network shows the impact of papers produced by Shiwei Wang. 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 Shiwei Wang. The network helps show where Shiwei Wang may publish in the future.
Co-authorship network of co-authors of Shiwei Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shiwei Wang. A scholar is included among the top collaborators of Shiwei Wang 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 Shiwei Wang. Shiwei Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 16 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 21 | |
| 15 | 52 | |
| 16 | 27 | |
| 17 | 25 | |
| 18 | 66 | |
| 19 | 22 | |
| 20 | 35 |
About Shiwei Wang
Shiwei Wang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 103 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (29 papers), Advanced Memory and Neural Computing (28 papers) and Analog and Mixed-Signal Circuit Design (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (536 citations), Cognitive Neuroscience (407 citations) and Electrical and Electronic Engineering (645 citations). Shiwei Wang has collaborated with scholars based in China, United Kingdom and Belgium. Frequent co-authors include Carolina Mora López, Nick Van Helleputte, Jan Putzeys, Marco Ballini, Chris Van Hoof, Bogdan Raducanu, Alexandru Andrei, Refet Fırat Yazıcıoğlu, Srinjoy Mitra and Silke Musa. Their work appears in journals such as Advanced Materials, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.