Weiyang Liu
- Artificial Intelligence top 10%
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Materials Chemistry
- Co-authors
- Yifan ZhangEric P. XingHanlin ZhangBernhard SchölkopfAdrian WellerDongning ZhengS. P. ZhaoLe Song
- Topics
- Quantum Information and Cryptography (10 papers)Quantum and electron transport phenomena (8 papers)Radio Frequency Integrated Circuit Design (7 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaNano LettersBlood
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Weiyang Liu
45 papers receiving 379 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 169
- Atomic and Molecular Physics, and Optics 99
- Electrical and Electronic Engineering 71
- Computer Vision and Pattern Recognition 63
- Materials Chemistry 41
Countries citing papers authored by Weiyang Liu
This map shows the geographic impact of Weiyang Liu'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 Weiyang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiyang Liu more than expected).
Fields of papers citing papers by Weiyang Liu
This network shows the impact of papers produced by Weiyang Liu. 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 Weiyang Liu. The network helps show where Weiyang Liu may publish in the future.
Co-authorship network of co-authors of Weiyang Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Weiyang Liu. A scholar is included among the top collaborators of Weiyang Liu 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 Weiyang Liu. Weiyang Liu 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 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 9 | |
| 10 | 23 | |
| 11 | 0 | |
| 12 | 5 | |
| 13 | 6 | |
| 14 | 25 | |
| 15 | 6 | |
| 16 | 5 | |
| 17 | Towards Black-box Iterative Machine Teaching. | 4 |
| 18 | Coupled Variational Bayes via Optimization Embedding | 9 |
| 19 | Iterative machine teaching | 17 |
| 20 | Deep Hyperspherical Learning | 21 |
About Weiyang Liu
Weiyang Liu is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Genetics, having authored 55 papers that have together received 399 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (10 papers), Quantum and electron transport phenomena (8 papers) and Radio Frequency Integrated Circuit Design (7 papers). The work is most often cited by research in Artificial Intelligence (169 citations), Atomic and Molecular Physics, and Optics (99 citations) and Computer Vision and Pattern Recognition (63 citations). Weiyang Liu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yifan Zhang, Eric P. Xing, Hanlin Zhang, Bernhard Schölkopf, Adrian Weller, Dongning Zheng, S. P. Zhao, Le Song, Daniel Y. Kwok and Bo Dai. Their work appears in journals such as SHILAP Revista de lepidopterología, Nano Letters and Blood.
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.