Tao Peng
- Artificial Intelligence top 1%
- Privacy-Preserving Technologies in Data 33
- Cryptography and Data Security 25
- Internet Traffic Analysis and Secure E-voting 9
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- Network Security and Intrusion Detection 7
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- Mobile Crowdsensing and Crowdsourcing 10
- Signal Processing top 2%
- Transportation top 5%
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- Privacy, Security, and Data Protection 12
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- Cloud Data Security Solutions 11
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- Vehicular Ad Hoc Networks (VANETs) 5
- Co-authors
- Christopher LeckieKotagiri RamamohanaraoGuojun WangQin LiuShaobo ZhangJie WuXiong LiZhiyuan Tan
- Journals
- Information Sciences (3 papers)Future Generation Computer Systems (3 papers)Journal of Network and Computer Applications (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Tao Peng
48 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 1.2k
- Computer Networks and Communications 820
- Computer Science Applications 189
- Signal Processing 354
- Transportation 136
Countries citing papers authored by Tao Peng
This map shows the geographic impact of Tao Peng'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 Tao Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Peng more than expected).
Fields of papers citing papers by Tao Peng
This network shows the impact of papers produced by Tao Peng. 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 Tao Peng. The network helps show where Tao Peng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tao Peng, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 21 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 25 | |
| 12 | 2022 | 0 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 4 | |
| 15 | 2021 | 2 | |
| 16 | 2020 | 48 | |
| 17 | 2020 | 5 | |
| 18 | 2019 | 124 | |
| 19 | 2019 | 89 | |
| 20 | 2019 | 17 |
About Tao Peng
Tao Peng is a scholar working on Computer Science Applications, Artificial Intelligence, Information Systems, Signal Processing and Transportation, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (33 papers), Cryptography and Data Security (25 papers), Privacy, Security, and Data Protection (12 papers), Cloud Data Security Solutions (11 papers), Mobile Crowdsensing and Crowdsourcing (10 papers), Internet Traffic Analysis and Secure E-voting (9 papers), Network Security and Intrusion Detection (7 papers) and Vehicular Ad Hoc Networks (VANETs) (5 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computer Networks and Communications (820 citations), Computer Science Applications (189 citations), Signal Processing (354 citations) and Transportation (136 citations). Tao Peng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Christopher Leckie, Kotagiri Ramamohanarao, Guojun Wang, Qin Liu, Shaobo Zhang, Jie Wu, Guojun Wang, Xiong Li, Zhiyuan Tan and Xuhui Liu. Their work appears in journals such as Information Sciences, Future Generation Computer Systems, Journal of Network and Computer Applications, IEEE Transactions on Mobile Computing and IEEE Transactions on Services Computing.
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.