Shuqiang Yang
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Topics
- Cloud Computing and Resource Management (16 papers)Data Management and Algorithms (9 papers)Complex Network Analysis Techniques (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessNanotechnology
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Shuqiang Yang
72 papers receiving 368 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 108
- Computer Networks and Communications 90
- Information Systems 89
- Computer Vision and Pattern Recognition 70
- Biomedical Engineering 70
Countries citing papers authored by Shuqiang Yang
This map shows the geographic impact of Shuqiang Yang'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 Shuqiang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuqiang Yang more than expected).
Fields of papers citing papers by Shuqiang Yang
This network shows the impact of papers produced by Shuqiang Yang. 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 Shuqiang Yang. The network helps show where Shuqiang Yang may publish in the future.
Co-authorship network of co-authors of Shuqiang Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Shuqiang Yang. A scholar is included among the top collaborators of Shuqiang Yang 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 Shuqiang Yang. Shuqiang Yang 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | Algorithm of for 2D Maximum Between-Cluster Image Segmentation Based on GA | 1 |
| 14 | Design and Implementation of Job Scheduling Algorithm for Multi-User MapReduce Clusters | 2 |
| 15 | Arbitrary Shape Clustering Algorithm for Evolving Data Stream over Sliding Windows | 1 |
| 16 | Research on Typical Bloom Filters and Their Data Stream Applications | 1 |
| 17 | Research and development of burst detection in data streams | 1 |
| 18 | Massive short documents classification method based on frequent term set clustering | 1 |
| 19 | Study on Massive Short Documents Clustering Technology | 1 |
| 20 | Survey of text mining based on ontology | 1 |
About Shuqiang Yang
Shuqiang Yang is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 85 papers that have together received 399 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (16 papers), Data Management and Algorithms (9 papers) and Complex Network Analysis Techniques (7 papers). The work is most often cited by research in Signal Processing (46 citations), Media Technology (36 citations) and Information Systems (89 citations). Shuqiang Yang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Gang Li, Wenjuan Yan, Ling Lin, Fulong Liu, Biao Li, Bo Deng, Aiping Li, Lian Zhang, Shaodong Ma and Chengbo Yu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Nanotechnology.
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.