Liqiang Lu
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering top 10%
- Hardware and Architecture top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Topics
- Parallel Computing and Optimization Techniques (17 papers)Advanced Neural Network Applications (15 papers)Quantum Computing Algorithms and Architecture (10 papers)
- Journals
- IEEE Transactions on ComputersIEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsIEEE Micro
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Liqiang Lu
28 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 647
- Electrical and Electronic Engineering 546
- Hardware and Architecture 314
- Artificial Intelligence 306
- Computer Networks and Communications 118
Countries citing papers authored by Liqiang Lu
This map shows the geographic impact of Liqiang Lu'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 Liqiang Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liqiang Lu more than expected).
Fields of papers citing papers by Liqiang Lu
This network shows the impact of papers produced by Liqiang Lu. 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 Liqiang Lu. The network helps show where Liqiang Lu may publish in the future.
Co-authorship network of co-authors of Liqiang Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Liqiang Lu. A scholar is included among the top collaborators of Liqiang Lu 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 Liqiang Lu. Liqiang Lu 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 37 | |
| 9 | 11 | |
| 10 | 52 | |
| 11 | 116 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 31 | |
| 15 | 10 | |
| 16 | 111 | |
| 17 | 4 | |
| 18 | 52 | |
| 19 | 193 | |
| 20 | 8 |
About Liqiang Lu
Liqiang Lu is a scholar working on Computational Mathematics, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (17 papers), Advanced Neural Network Applications (15 papers) and Quantum Computing Algorithms and Architecture (10 papers). The work is most often cited by research in Computational Mathematics (56 citations), Hardware and Architecture (314 citations) and Computer Vision and Pattern Recognition (647 citations). Liqiang Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yun Liang, Shengen Yan, Qingcheng Xiao, Zizhang Luo, Yu‐Wing Tai, Wei Lin, Ruirui Huang, Peng Li, Hangrui Bi and Tao Wang. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Micro.
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.