Guohe Zhang
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Materials Chemistry
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Feng LiangKai ZhouYali SuJie LiangCheng‐Fu YangJingning HanBing LiWeihua Liu
- Topics
- Advancements in Semiconductor Devices and Circuit Design (23 papers)Semiconductor materials and devices (16 papers)Advanced Memory and Neural Computing (15 papers)
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Guohe Zhang
81 papers receiving 649 citations
Peers
Comparison fields: 5 of 68
- Electrical and Electronic Engineering 447
- Computer Vision and Pattern Recognition 125
- Materials Chemistry 95
- Biomedical Engineering 90
- Artificial Intelligence 81
Countries citing papers authored by Guohe Zhang
This map shows the geographic impact of Guohe 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 Guohe Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guohe Zhang more than expected).
Fields of papers citing papers by Guohe Zhang
This network shows the impact of papers produced by Guohe 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 Guohe Zhang. The network helps show where Guohe Zhang may publish in the future.
Co-authorship network of co-authors of Guohe Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Guohe Zhang. A scholar is included among the top collaborators of Guohe 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 Guohe Zhang. Guohe 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 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | 22 | |
| 20 | 1 |
About Guohe Zhang
Guohe Zhang is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 102 papers that have together received 678 indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (23 papers), Semiconductor materials and devices (16 papers) and Advanced Memory and Neural Computing (15 papers). The work is most often cited by research in Hardware and Architecture (76 citations), Electrical and Electronic Engineering (447 citations) and Computer Vision and Pattern Recognition (125 citations). Guohe Zhang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Feng Liang, Kai Zhou, Yali Su, Jie Liang, Cheng‐Fu Yang, Jingning Han, Bing Li, Weihua Liu, Yiran Chen and Bin Wu. Their work appears in journals such as Carbon, ACS Applied Materials & Interfaces and IEEE Transactions on Power Electronics.
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.