Guoqiang Wang
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Materials Chemistry
- Artificial Intelligence
- Information Systems
- Co-authors
- Ravishankar RavindranAytac AzginDan C. MarinescuLijun DongXinwen ZhangDamla TurgutYongchang JiAsit K. Chakraborti
- Topics
- Caching and Content Delivery (35 papers)Opportunistic and Delay-Tolerant Networks (23 papers)Cooperative Communication and Network Coding (20 papers)
- Journals
- IEEE Communications MagazineACM SIGCOMM Computer Communication ReviewIEEE Signal Processing Letters
- Partner nations
- United StatesChinaCanada
In The Last Decade
Guoqiang Wang
48 papers receiving 442 citations
Peers
Comparison fields: 5 of 49
- Computer Networks and Communications 427
- Electrical and Electronic Engineering 77
- Materials Chemistry 33
- Artificial Intelligence 24
- Information Systems 22
Countries citing papers authored by Guoqiang Wang
This map shows the geographic impact of Guoqiang Wang'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 Guoqiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoqiang Wang more than expected).
Fields of papers citing papers by Guoqiang Wang
This network shows the impact of papers produced by Guoqiang Wang. 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 Guoqiang Wang. The network helps show where Guoqiang Wang may publish in the future.
Co-authorship network of co-authors of Guoqiang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Guoqiang Wang. A scholar is included among the top collaborators of Guoqiang Wang 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 Guoqiang Wang. Guoqiang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 26 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 26 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | ICN based Architecture for IoT - Requirements and Challenges | 18 |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | Probability-based adaptive forwarding strategy in named data networking | 51 |
| 19 | 14 | |
| 20 | 5 |
About Guoqiang Wang
Guoqiang Wang is a scholar working on Computer Networks and Communications, Conservation and Radiological and Ultrasound Technology, having authored 49 papers that have together received 470 indexed citations. Recurring topics across this work include Caching and Content Delivery (35 papers), Opportunistic and Delay-Tolerant Networks (23 papers) and Cooperative Communication and Network Coding (20 papers). The work is most often cited by research in Computer Networks and Communications (427 citations), Conservation (10 citations) and Archeology (15 citations). Guoqiang Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ravishankar Ravindran, Aytac Azgin, Dan C. Marinescu, Lijun Dong, Xinwen Zhang, Damla Turgut, Yongchang Ji, Asit K. Chakraborti, Deep Medhi and Ladislau Bölöni. Their work appears in journals such as IEEE Communications Magazine, ACM SIGCOMM Computer Communication Review and IEEE Signal Processing Letters.
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.