Bruce Gu
Impact in
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- Digital Mental Health Interventions
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Privacy-Preserving Technologies in Data 9
- Cryptography and Data Security 2
- Stochastic Gradient Optimization Techniques 2
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- Vehicular Ad Hoc Networks (VANETs) 3
- Co-authors
- Youyang Qu (11 shared papers)Longxiang Gao (9 shared papers)Khandakar Ahmed (3 shared papers)Chenhao Xu (1 shared paper)Shui Yu (4 shared papers)Jiong Jin (2 shared papers)Yong Xiang (4 shared papers)Yuan Miao (2 shared papers)
- Journals
- Big Data Mining and Analytics (2 papers)Future Generation Computer Systems (1 paper)IEEE Transactions on Network Science and Engineering (1 paper)IEEE Transactions on Smart Grid (1 paper)IEEE Internet of Things Journal (1 paper)
- Partner nations
- AustraliaChinaSwitzerland
In The Last Decade
Bruce Gu
18 papers receiving 234 citations
Peers
Comparison fields: 5 of 51
- Applied Psychology 19
- Computer Science Applications 21
- Artificial Intelligence 122
- Computer Networks and Communications 72
- Information Systems 64
Countries citing papers authored by Bruce Gu
This map shows the geographic impact of Bruce Gu'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 Bruce Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruce Gu more than expected).
Fields of papers citing papers by Bruce Gu
This network shows the impact of papers produced by Bruce Gu. 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 Bruce Gu. The network helps show where Bruce Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bruce Gu, 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 | 2021 | 46 | |
| 2 | 2019 | 41 | |
| 3 | 2023 | 35 | |
| 4 | 2021 | 26 | |
| 5 | 2021 | 15 | |
| 6 | 2023 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2019 | 13 | |
| 9 | 2024 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2022 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2025 | 0 |
About Bruce Gu
Bruce Gu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Computer Science Applications and Information Systems, having authored 19 papers that have together received 241 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (9 papers), IoT and Edge/Fog Computing (5 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Blockchain Technology Applications and Security (3 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers), Cryptography and Data Security (2 papers), Privacy, Security, and Data Protection (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). The work is most often cited by research in Applied Psychology (19 citations), Computer Science Applications (21 citations), Artificial Intelligence (122 citations), Computer Networks and Communications (72 citations) and Information Systems (64 citations). Bruce Gu has collaborated with scholars based in Australia, China and Switzerland. Frequent co-authors include Youyang Qu, Longxiang Gao, Khandakar Ahmed, Chenhao Xu, Shui Yu, Jiong Jin, Yong Xiang, Yuan Miao, Ayman Ibaida and Hua Wang. Their work appears in journals such as Big Data Mining and Analytics, Future Generation Computer Systems, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Smart Grid and IEEE Internet of Things Journal.
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.