Guozhi Liu
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- IoT and Edge/Fog Computing 7
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- Advanced Memory and Neural Computing 2
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- Gyrotron and Vacuum Electronics Research 2
- Control and Systems Engineering top 10%
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- Privacy-Preserving Technologies in Data 4
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- Blockchain Technology Applications and Security 3
- Cloud Computing and Resource Management 2
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- Photoreceptor and optogenetics research 2
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- Diamond and Carbon-based Materials Research 2
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringAtomic and Molecular Physics, and Optics
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Guozhi Liu
29 papers receiving 431 citations
Peers
Comparison fields: 5 of 81
- Computer Networks and Communications 97
- Electrical and Electronic Engineering 200
- Atomic and Molecular Physics, and Optics 99
- Control and Systems Engineering 68
- Aerospace Engineering 67
Countries citing papers authored by Guozhi Liu
This map shows the geographic impact of Guozhi Liu'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 Guozhi Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guozhi Liu more than expected).
Fields of papers citing papers by Guozhi Liu
This network shows the impact of papers produced by Guozhi Liu. 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 Guozhi Liu. The network helps show where Guozhi Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guozhi Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 3 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 0 | |
| 10 | 2025 | 0 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 0 | |
| 13 | 2022 | 39 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 32 | |
| 17 | 2020 | 20 | |
| 18 | 2019 | 56 | |
| 19 | 2000 | 1 | |
| 20 | 1987 | 0 |
About Guozhi Liu
Guozhi Liu is a scholar working on Computer Networks and Communications, Pharmacology, Information Systems, Cellular and Molecular Neuroscience and Molecular Medicine, having authored 35 papers that have together received 454 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Privacy-Preserving Technologies in Data (4 papers), Blockchain Technology Applications and Security (3 papers), Photoreceptor and optogenetics research (2 papers), Diamond and Carbon-based Materials Research (2 papers), Advanced Memory and Neural Computing (2 papers), Gyrotron and Vacuum Electronics Research (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Computer Networks and Communications (97 citations), Electrical and Electronic Engineering (200 citations), Atomic and Molecular Physics, and Optics (99 citations), Control and Systems Engineering (68 citations) and Aerospace Engineering (67 citations). Guozhi Liu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Chuanxiang Tang, Chao Chang, Bi Huang, Fei Dai, Xibo Zhang, Jiancang Su, Qi Mo, Weiheng Xu, Chang‐Hua Chen and Chao Chang. Their work appears in journals such as Pharmaceutical Biology, Brain and Behavior, World Wide Web, ACS Chemical Neuroscience and Medicine.
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.