Sushu Zhang
- Renewable Energy, Sustainability and the Environment top 10%
- Hardware and Architecture top 2%
- Electrical and Electronic Engineering
- Materials Chemistry
- Computer Networks and Communications top 10%
- Co-authors
- Karam S. ChathaSónia A. C. CarabineiroKangle LvMengyu ZhaoSen LiuDaimei ChenXiaoyu OuQian Xiang
- Topics
- Parallel Computing and Optimization Techniques (9 papers)Low-power high-performance VLSI design (4 papers)Interconnection Networks and Systems (4 papers)
- Cited by
- Hardware and ArchitectureRenewable Energy, Sustainability and the EnvironmentComputer Networks and Communications
- Journals
- ChemosphereCHINESE JOURNAL OF CATALYSIS (CHINESE VERSION)Digest of technical papers/Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design
- Partner nations
- United StatesChinaPortugal
In The Last Decade
Sushu Zhang
11 papers receiving 543 citations
Peers
Comparison fields: 5 of 40
- Renewable Energy, Sustainability and the Environment 253
- Hardware and Architecture 252
- Electrical and Electronic Engineering 248
- Materials Chemistry 206
- Computer Networks and Communications 150
Countries citing papers authored by Sushu Zhang
This map shows the geographic impact of Sushu Zhang'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 Sushu Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushu Zhang more than expected).
Fields of papers citing papers by Sushu Zhang
This network shows the impact of papers produced by Sushu Zhang. 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 Sushu Zhang. The network helps show where Sushu Zhang may publish in the future.
Co-authorship network of co-authors of Sushu Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Sushu Zhang. A scholar is included among the top collaborators of Sushu Zhang 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 Sushu Zhang. Sushu Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 126 | |
| 2 | 144 | |
| 3 | 31 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 12 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 129 | |
| 10 | 69 | |
| 11 | 21 |
About Sushu Zhang
Sushu Zhang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Renewable Energy, Sustainability and the Environment, having authored 11 papers that have together received 557 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Low-power high-performance VLSI design (4 papers) and Interconnection Networks and Systems (4 papers). The work is most often cited by research in Hardware and Architecture (252 citations), Renewable Energy, Sustainability and the Environment (253 citations) and Computer Networks and Communications (150 citations). Sushu Zhang has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Karam S. Chatha, Sónia A. C. Carabineiro, Kangle Lv, Mengyu Zhao, Sen Liu, Daimei Chen, Xiaoyu Ou, Qian Xiang, Jiajie Fan and Goran Konjevod. Their work appears in journals such as Chemosphere, CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION) and Digest of technical papers/Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design.
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.