Qinru Qiu
- Electrical and Electronic Engineering top 1%
- Computer Networks and Communications top 1%
- Hardware and Architecture top 0.5%
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Qing WuMassoud PedramYanzhi WangShaobo LiuZhe LiBo YuanYing TanCaiwen Ding
- Topics
- Advanced Memory and Neural Computing (46 papers)Parallel Computing and Optimization Techniques (32 papers)Low-power high-performance VLSI design (23 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaComputerIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Qinru Qiu
171 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Electrical and Electronic Engineering 2.6k
- Computer Networks and Communications 1.2k
- Hardware and Architecture 1.0k
- Artificial Intelligence 959
- Computer Vision and Pattern Recognition 479
Countries citing papers authored by Qinru Qiu
This map shows the geographic impact of Qinru Qiu'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 Qinru Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qinru Qiu more than expected).
Fields of papers citing papers by Qinru Qiu
This network shows the impact of papers produced by Qinru Qiu. 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 Qinru Qiu. The network helps show where Qinru Qiu may publish in the future.
Co-authorship network of co-authors of Qinru Qiu
This figure shows the co-authorship network connecting the top 25 collaborators of Qinru Qiu. A scholar is included among the top collaborators of Qinru Qiu 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 Qinru Qiu. Qinru Qiu 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 | 12 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 34 | |
| 9 | 67 | |
| 10 | 30 | |
| 11 | 15 | |
| 12 | 56 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 24 | |
| 18 | 13 | |
| 19 | 1 | |
| 20 | 23 |
About Qinru Qiu
Qinru Qiu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 178 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (46 papers), Parallel Computing and Optimization Techniques (32 papers) and Low-power high-performance VLSI design (23 papers). The work is most often cited by research in Hardware and Architecture (1.0k citations), Computer Networks and Communications (1.2k citations) and Electrical and Electronic Engineering (2.6k citations). Qinru Qiu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Qing Wu, Massoud Pedram, Yanzhi Wang, Shaobo Liu, Zhe Li, Bo Yuan, Ying Tan, Caiwen Ding, Ao Ren and Yang Ge. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer and IEEE Transactions on Neural Networks and Learning Systems.
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.