Guoqiang Wang
- Computer Networks and Communications top 10%
- Molecular Biology
- Oncology
- Cancer Research
- Biomedical Engineering
- Co-authors
- Aytac AzginRavishankar RavindranAsit K. ChakrabortiSyed Obaid AminChuyuan HongKun ZhangYuanyuan MaHeping Peng
- Topics
- Caching and Content Delivery (4 papers)Colorectal Cancer Treatments and Studies (3 papers)Opportunistic and Delay-Tolerant Networks (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Guoqiang Wang
24 papers receiving 287 citations
Peers
Comparison fields: 5 of 61
- Computer Networks and Communications 111
- Molecular Biology 86
- Oncology 55
- Cancer Research 50
- Biomedical Engineering 38
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 | 3 | |
| 2 | 10 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 24 | |
| 8 | 20 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 12 | |
| 12 | 8 | |
| 13 | 5 | |
| 14 | A Survey on Coordinated UAV Formation Management | 8 |
| 15 | 30 | |
| 16 | 18 | |
| 17 | [Clinicopathological features and prognosis of colorectal cancer patients with preoperative cancer-related anemia]. | 2 |
| 18 | Genetic Analysis of Plant-Type Characters in Maize(Zea Mays L.)by Using Joint Analysis of Multiple Generations | 1 |
| 19 | 11 | |
| 20 | 0 |
About Guoqiang Wang
Guoqiang Wang is a scholar working on Cancer Research, Computer Networks and Communications and Oncology, having authored 26 papers that have together received 292 indexed citations. Recurring topics across this work include Caching and Content Delivery (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Opportunistic and Delay-Tolerant Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (111 citations), Cancer Research (50 citations) and Oncology (55 citations). Guoqiang Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Aytac Azgin, Ravishankar Ravindran, Asit K. Chakraborti, Syed Obaid Amin, Chuyuan Hong, Kun Zhang, Yuanyuan Ma, Heping Peng, Jing Peng and Shaolan Zou. Their work appears in journals such as Journal of Clinical Oncology, Bioresource Technology and IEEE Communications Magazine.
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.