He Guo
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Distributed and Parallel Computing Systems
- IoT and Edge/Fog Computing
Papers in
-
- Distributed and Parallel Computing Systems 16
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- Cloud Computing and Resource Management 14
- Co-authors
- Yuxin Wang (24 shared papers)Qi Jia (8 shared papers)Guan Wang (1 shared paper)Yulong Yu (10 shared papers)Hao Wu (5 shared papers)Zhongxuan Luo (3 shared papers)Haifeng Li (3 shared papers)Chaojie Zhang (4 shared papers)
- Journals
- IEEE Access (4 papers)Sensors (2 papers)Scientific Reports (1 paper)Theoretical Computer Science (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
He Guo
86 papers receiving 532 citations
Peers
Comparison fields: 5 of 68
- Hardware and Architecture 83
- Computer Networks and Communications 203
- Information Systems 193
- Computer Vision and Pattern Recognition 128
- Software 19
Countries citing papers authored by He Guo
This map shows the geographic impact of He Guo'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 He Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites He Guo more than expected).
Fields of papers citing papers by He Guo
This network shows the impact of papers produced by He Guo. 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 He Guo. The network helps show where He Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside He Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 42 | |
| 2 | 2024 | 31 | |
| 3 | 2015 | 26 | |
| 4 | 2020 | 20 | |
| 5 | 2020 | 17 | |
| 6 | 2010 | 17 | |
| 7 | 2015 | 17 | |
| 8 | 2015 | 15 | |
| 9 | 2017 | 15 | |
| 10 | 2008 | 14 | |
| 11 | 2005 | 14 | |
| 12 | 2010 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2019 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2008 | 11 | |
| 17 | 2020 | 11 | |
| 18 | 2017 | 11 | |
| 19 | 2011 | 11 | |
| 20 | 2023 | 10 |
About He Guo
He Guo is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Control and Systems Engineering and Hardware and Architecture, having authored 104 papers that have together received 562 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (16 papers), Cloud Computing and Resource Management (14 papers), Parallel Computing and Optimization Techniques (13 papers), Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (8 papers), Scheduling and Optimization Algorithms (6 papers), Fault Detection and Control Systems (5 papers) and Advanced Software Engineering Methodologies (5 papers). The work is most often cited by research in Hardware and Architecture (83 citations), Computer Networks and Communications (203 citations), Information Systems (193 citations), Computer Vision and Pattern Recognition (128 citations) and Software (19 citations). He Guo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuxin Wang, Qi Jia, Guan Wang, Yulong Yu, Hao Wu, Zhongxuan Luo, Haifeng Li, Chaojie Zhang, Xubin He and Xin Han. Their work appears in journals such as IEEE Access, Sensors, Scientific Reports, Theoretical Computer Science and Neurocomputing.
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.