Guiqiang Dong
- Computer Networks and Communications top 1%
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Hardware and Architecture top 5%
- Topics
- Advanced Data Storage Technologies (22 papers)Error Correcting Code Techniques (13 papers)Cellular Automata and Applications (8 papers)
- Cited by
- Computer Networks and CommunicationsComputational Theory and MathematicsHardware and Architecture
- Journals
- IEEE Journal on Selected Areas in CommunicationsIEEE Transactions on ComputersIEEE Transactions on Magnetics
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Guiqiang Dong
23 papers receiving 894 citations
Peers
Comparison fields: 5 of 26
- Computer Networks and Communications 866
- Computational Theory and Mathematics 321
- Electrical and Electronic Engineering 202
- Artificial Intelligence 159
- Hardware and Architecture 134
Countries citing papers authored by Guiqiang Dong
This map shows the geographic impact of Guiqiang Dong'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 Guiqiang Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guiqiang Dong more than expected).
Fields of papers citing papers by Guiqiang Dong
This network shows the impact of papers produced by Guiqiang Dong. 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 Guiqiang Dong. The network helps show where Guiqiang Dong may publish in the future.
Co-authorship network of co-authors of Guiqiang Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Guiqiang Dong. A scholar is included among the top collaborators of Guiqiang Dong 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 Guiqiang Dong. Guiqiang Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 1 | |
| 3 | 92 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 66 | |
| 7 | 78 | |
| 8 | 47 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 68 | |
| 12 | 20 | |
| 13 | 14 | |
| 14 | 50 | |
| 15 | 1 | |
| 16 | 209 | |
| 17 | 36 | |
| 18 | 115 | |
| 19 | 17 | |
| 20 | 4 |
About Guiqiang Dong
Guiqiang Dong is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics, having authored 23 papers that have together received 915 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (22 papers), Error Correcting Code Techniques (13 papers) and Cellular Automata and Applications (8 papers). The work is most often cited by research in Computer Networks and Communications (866 citations), Computational Theory and Mathematics (321 citations) and Hardware and Architecture (134 citations). Guiqiang Dong has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Ningde Xie, Tong Zhang, Tong Zhang, Shu Li, Qi Wu, Tsung‐Yi Chen, Hari Shankar, Richard D. Wesel, Tong Zhang and Jiadong Wang. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Computers and IEEE Transactions on Magnetics.
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.