Donald Donglong Chen
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Electrical and Electronic Engineering
- Co-authors
- Ray C. C. CheungDerek PaoFréderik VercauterenSujoy Sinha RoyNele MentensIngrid VerbauwhedeÇetin Kaya Koç
- Topics
- Coding theory and cryptography (5 papers)Cryptography and Residue Arithmetic (5 papers)Cryptography and Data Security (4 papers)
- Journals
- IEEE Transactions on ComputersIEEE Transactions on Circuits and Systems I Regular PapersLecture notes in computer science
- Partner nations
- Hong KongUnited StatesBelgium
In The Last Decade
Donald Donglong Chen
6 papers receiving 142 citations
Peers
Comparison fields: 5 of 17
- Artificial Intelligence 127
- Information Systems 89
- Computer Vision and Pattern Recognition 23
- Computational Theory and Mathematics 16
- Electrical and Electronic Engineering 12
Countries citing papers authored by Donald Donglong Chen
This map shows the geographic impact of Donald Donglong Chen'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 Donald Donglong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald Donglong Chen more than expected).
Fields of papers citing papers by Donald Donglong Chen
This network shows the impact of papers produced by Donald Donglong Chen. 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 Donald Donglong Chen. The network helps show where Donald Donglong Chen may publish in the future.
Co-authorship network of co-authors of Donald Donglong Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Donald Donglong Chen. A scholar is included among the top collaborators of Donald Donglong Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donald Donglong Chen. Donald Donglong Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 16 | |
| 3 | 19 | |
| 4 | Compact Ring-LWE Cryptoprocessor | 2 |
| 5 | 100 | |
| 6 | 2 |
About Donald Donglong Chen
Donald Donglong Chen is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 147 indexed citations. Recurring topics across this work include Coding theory and cryptography (5 papers), Cryptography and Residue Arithmetic (5 papers) and Cryptography and Data Security (4 papers). The work is most often cited by research in Information Systems (89 citations), Artificial Intelligence (127 citations) and Hardware and Architecture (8 citations). Donald Donglong Chen has collaborated with scholars based in Hong Kong, United States and Belgium. Frequent co-authors include Ray C. C. Cheung, Derek Pao, Fréderik Vercauteren, Sujoy Sinha Roy, Nele Mentens, Ingrid Verbauwhede and Çetin Kaya Koç. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Circuits and Systems I Regular Papers and Lecture notes in computer science.
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.