Dimin Niu
- Electrical and Electronic Engineering top 5%
- Hardware and Architecture top 0.5%
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Yuan XieNaveen MuralimanoharCong XuHongzhong ZhengYiran ChenKrishna T. MalladiGuangyu SunShuangchen Li
- Topics
- Advanced Memory and Neural Computing (31 papers)Parallel Computing and Optimization Techniques (27 papers)Ferroelectric and Negative Capacitance Devices (23 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsElectrical and Electronic Engineering
- Journals
- IEEE AccessIEEE Transactions on Circuits and Systems for Video TechnologyIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Dimin Niu
62 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 42
- Electrical and Electronic Engineering 1.4k
- Hardware and Architecture 809
- Computer Networks and Communications 755
- Artificial Intelligence 323
- Computer Vision and Pattern Recognition 269
Countries citing papers authored by Dimin Niu
This map shows the geographic impact of Dimin Niu'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 Dimin Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dimin Niu more than expected).
Fields of papers citing papers by Dimin Niu
This network shows the impact of papers produced by Dimin Niu. 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 Dimin Niu. The network helps show where Dimin Niu may publish in the future.
Co-authorship network of co-authors of Dimin Niu
This figure shows the co-authorship network connecting the top 25 collaborators of Dimin Niu. A scholar is included among the top collaborators of Dimin Niu 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 Dimin Niu. Dimin Niu 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 | 2 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 34 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 14 | |
| 13 | 18 | |
| 14 | 24 | |
| 15 | 41 | |
| 16 | 26 | |
| 17 | 33 | |
| 18 | 3 | |
| 19 | 37 | |
| 20 | 106 |
About Dimin Niu
Dimin Niu is a scholar working on Hardware and Architecture, Computational Mathematics and Computer Networks and Communications, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (31 papers), Parallel Computing and Optimization Techniques (27 papers) and Ferroelectric and Negative Capacitance Devices (23 papers). The work is most often cited by research in Hardware and Architecture (809 citations), Computer Networks and Communications (755 citations) and Electrical and Electronic Engineering (1.4k citations). Dimin Niu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Yuan Xie, Naveen Muralimanohar, Cong Xu, Hongzhong Zheng, Yiran Chen, Krishna T. Malladi, Guangyu Sun, Shuangchen Li, Shimeng Yu and Bob Brennan. Their work appears in journals such as IEEE Access, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Parallel and Distributed 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.