Ke Liang
- Electrical and Electronic Engineering top 5%
- Materials Chemistry top 10%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Co-authors
- Xinwang LiuSihang ZhouXiaohong ZhangWenxuan TuYue LiuKai WangCaijun ZhengMichitoshi Hayashi
- Topics
- Advanced Graph Neural Networks (19 papers)Nanoplatforms for cancer theranostics (8 papers)Organic Light-Emitting Diodes Research (8 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ke Liang
79 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Electrical and Electronic Engineering 722
- Materials Chemistry 698
- Artificial Intelligence 582
- Computer Vision and Pattern Recognition 336
- Biomedical Engineering 238
Countries citing papers authored by Ke Liang
This map shows the geographic impact of Ke Liang'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 Ke Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Liang more than expected).
Fields of papers citing papers by Ke Liang
This network shows the impact of papers produced by Ke Liang. 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 Ke Liang. The network helps show where Ke Liang may publish in the future.
Co-authorship network of co-authors of Ke Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Ke Liang. A scholar is included among the top collaborators of Ke Liang 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 Ke Liang. Ke Liang 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 | 3 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 14 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 29 | |
| 15 | 69 | |
| 16 | 8 | |
| 17 | 64 | |
| 18 | 50 | |
| 19 | 60 | |
| 20 | 12 |
About Ke Liang
Ke Liang is a scholar working on Computational Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 93 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (19 papers), Nanoplatforms for cancer theranostics (8 papers) and Organic Light-Emitting Diodes Research (8 papers). The work is most often cited by research in Artificial Intelligence (582 citations), Computer Vision and Pattern Recognition (336 citations) and Materials Chemistry (698 citations). Ke Liang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xinwang Liu, Sihang Zhou, Xiaohong Zhang, Wenxuan Tu, Yue Liu, Kai Wang, Caijun Zheng, Michitoshi Hayashi, Siwei Wang and Xuemei Ou. Their work appears in journals such as Advanced Materials, The Journal of Chemical Physics 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.