Tianlei Wang
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Public Health, Environmental and Occupational Health top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Jiuwen CaoFucheng LiaoZhixing HuXiaoping LaiFeng GaoTiejia JiangIvan P. ParkinJintao Chen
- Topics
- Machine Learning and ELM (19 papers)EEG and Brain-Computer Interfaces (12 papers)Domain Adaptation and Few-Shot Learning (8 papers)
- Journals
- Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaNano Letters
- Partner nations
- ChinaUnited KingdomCanada
In The Last Decade
Tianlei Wang
107 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Electrical and Electronic Engineering 499
- Artificial Intelligence 241
- Cognitive Neuroscience 152
- Public Health, Environmental and Occupational Health 141
- Computer Vision and Pattern Recognition 129
Countries citing papers authored by Tianlei Wang
This map shows the geographic impact of Tianlei 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 Tianlei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianlei Wang more than expected).
Fields of papers citing papers by Tianlei Wang
This network shows the impact of papers produced by Tianlei 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 Tianlei Wang. The network helps show where Tianlei Wang may publish in the future.
Co-authorship network of co-authors of Tianlei Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Tianlei Wang. A scholar is included among the top collaborators of Tianlei 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 Tianlei Wang. Tianlei 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 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 15 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 65 |
About Tianlei Wang
Tianlei Wang is a scholar working on Signal Processing, Human-Computer Interaction and Artificial Intelligence, having authored 118 papers that have together received 1.3k indexed citations. Recurring topics across this work include Machine Learning and ELM (19 papers), EEG and Brain-Computer Interfaces (12 papers) and Domain Adaptation and Few-Shot Learning (8 papers). The work is most often cited by research in Modeling and Simulation (81 citations), Electrical and Electronic Engineering (499 citations) and Automotive Engineering (96 citations). Tianlei Wang has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Jiuwen Cao, Fucheng Liao, Zhixing Hu, Xiaoping Lai, Feng Gao, Tiejia Jiang, Ivan P. Parkin, Jintao Chen, Guanjie He and Zheng Li. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Nano Letters.
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.