Yang Lu
Impact in
- Artificial Intelligence top 1%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Cryptographic Implementations and Security
- Information Systems top 1%
- Cloud Data Security Solutions
- Blockchain Technology Applications and Security
Papers in
-
- Cryptography and Data Security 66
- Cryptographic Implementations and Security 22
- Privacy-Preserving Technologies in Data 15
-
- Complexity and Algorithms in Graphs 33
- Co-authors
- Jiguo Li (57 shared papers)Yichen Zhang (8 shared papers)Gang Wang (3 shared papers)Yichen Zhang (4 shared papers)Fen Wang (1 shared paper)Yuyan Guo (3 shared papers)Jinguang Han (3 shared papers)Ruyuan Zhang (2 shared papers)
In The Last Decade
Yang Lu
75 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 930
- Information Systems 508
- Computational Theory and Mathematics 222
- Computer Networks and Communications 219
- Computer Vision and Pattern Recognition 157
Countries citing papers authored by Yang Lu
This map shows the geographic impact of Yang Lu'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 Yang Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Lu more than expected).
Fields of papers citing papers by Yang Lu
This network shows the impact of papers produced by Yang Lu. 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 Yang Lu. The network helps show where Yang Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Lu, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 92 | |
| 2 | 2020 | 74 | |
| 3 | 2022 | 67 | |
| 4 | 2020 | 64 | |
| 5 | 2021 | 58 | |
| 6 | 2018 | 46 | |
| 7 | 2015 | 43 | |
| 8 | 2015 | 42 | |
| 9 | 2019 | 41 | |
| 10 | 2017 | 37 | |
| 11 | 2018 | 36 | |
| 12 | 2016 | 35 | |
| 13 | 2020 | 29 | |
| 14 | 2017 | 28 | |
| 15 | 2022 | 26 | |
| 16 | 2018 | 25 | |
| 17 | 2020 | 24 | |
| 18 | 2019 | 21 | |
| 19 | 2009 | 17 | |
| 20 | 2016 | 16 |
About Yang Lu
Yang Lu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cryptography and Data Security (66 papers), Complexity and Algorithms in Graphs (33 papers), Cryptographic Implementations and Security (22 papers), Privacy-Preserving Technologies in Data (15 papers), Cloud Data Security Solutions (13 papers), Advanced Authentication Protocols Security (12 papers), Cryptography and Residue Arithmetic (9 papers) and Chaos-based Image/Signal Encryption (9 papers). The work is most often cited by research in Artificial Intelligence (930 citations), Information Systems (508 citations), Computational Theory and Mathematics (222 citations), Computer Networks and Communications (219 citations) and Computer Vision and Pattern Recognition (157 citations). Yang Lu has collaborated with scholars based in China, Japan and Spain. Frequent co-authors include Jiguo Li, Yichen Zhang, Gang Wang, Yichen Zhang, Fen Wang, Yuyan Guo, Jinguang Han, Ruyuan Zhang, Qihong Yu and Jian Shen. Their work appears in journals such as Information Sciences, IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Transactions on Services Computing and IEEE Access.
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.