Bing Guo
Impact in
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- Privacy-Preserving Technologies in Data 11
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- IoT and Edge/Fog Computing 9
- Co-authors
- Jihe Wang (13 shared papers)Meikang Qiu (8 shared papers)Yan Shen (24 shared papers)Muhammad Rashid Naeem (4 shared papers)Hamad Naeem (4 shared papers)Xuliang Duan (10 shared papers)Shujuan Yang (1 shared paper)Lei Zhang (1 shared paper)
- Journals
- IEEE Internet of Things Journal (11 papers)IEEE Access (4 papers)Applied Intelligence (3 papers)Journal of Systems Architecture (3 papers)IEEE Transactions on Intelligent Transportation Systems (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Bing Guo
134 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 139
- Computer Networks and Communications 410
- Signal Processing 163
- Information Systems 305
- Health, Toxicology and Mutagenesis 159
- Hardware and Architecture 72
Countries citing papers authored by Bing Guo
This map shows the geographic impact of Bing 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 Bing Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Guo more than expected).
Fields of papers citing papers by Bing Guo
This network shows the impact of papers produced by Bing 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 Bing Guo. The network helps show where Bing Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing 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 146 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 138 | |
| 2 | 2019 | 61 | |
| 3 | 2013 | 61 | |
| 4 | 2016 | 57 | |
| 5 | 2016 | 43 | |
| 6 | 2019 | 40 | |
| 7 | 2013 | 36 | |
| 8 | 2018 | 35 | |
| 9 | 2014 | 32 | |
| 10 | 2022 | 32 | |
| 11 | 2018 | 31 | |
| 12 | 2019 | 31 | |
| 13 | 2013 | 30 | |
| 14 | 2022 | 29 | |
| 15 | 2020 | 27 | |
| 16 | 2015 | 26 | |
| 17 | 2019 | 24 | |
| 18 | 2014 | 22 | |
| 19 | 2019 | 22 | |
| 20 | VOC removal performance of pellet/granular-type sorbent media - Experimental results | 2006 | 20 |
About Bing Guo
Bing Guo is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 146 papers that have together received 1.5k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (16 papers), Cloud Computing and Resource Management (12 papers), Green IT and Sustainability (12 papers), Privacy-Preserving Technologies in Data (11 papers), Blockchain Technology Applications and Security (11 papers), Air Quality and Health Impacts (10 papers), Embedded Systems Design Techniques (10 papers) and IoT and Edge/Fog Computing (9 papers). The work is most often cited by research in Computer Networks and Communications (410 citations), Signal Processing (163 citations), Information Systems (305 citations), Health, Toxicology and Mutagenesis (159 citations) and Hardware and Architecture (72 citations). Bing Guo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jihe Wang, Meikang Qiu, Yan Shen, Muhammad Rashid Naeem, Hamad Naeem, Xuliang Duan, Shujuan Yang, Lei Zhang, Peng Jia and Chao Yang. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Access, Applied Intelligence, Journal of Systems Architecture and IEEE Transactions on Intelligent Transportation 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.