Linlin Tang
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering
- Artificial Intelligence
- Mechanical Engineering
- Information Systems
- Topics
- Face and Expression Recognition (11 papers)Image Retrieval and Classification Techniques (9 papers)Advanced Steganography and Watermarking Techniques (6 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Linlin Tang
37 papers receiving 261 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 111
- Control and Systems Engineering 60
- Artificial Intelligence 45
- Mechanical Engineering 44
- Information Systems 36
Countries citing papers authored by Linlin Tang
This map shows the geographic impact of Linlin Tang'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 Linlin Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linlin Tang more than expected).
Fields of papers citing papers by Linlin Tang
This network shows the impact of papers produced by Linlin Tang. 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 Linlin Tang. The network helps show where Linlin Tang may publish in the future.
Co-authorship network of co-authors of Linlin Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Linlin Tang. A scholar is included among the top collaborators of Linlin Tang 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 Linlin Tang. Linlin Tang 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 | 0 | |
| 3 | 0 | |
| 4 | 35 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | Resource Scheduling Method Based on Bayes for Cloud Computing. | 1 |
| 8 | A New Hybrid Task Scheduling Algorithm Designed Based on ACO and GA. | 2 |
| 9 | A New Scheduling Algorithm Based on Ant Colony Algorithm and Cloud Load Balancing. | 4 |
| 10 | Novel Artificial Bee Colony Algorithm Based Load Balance Method In Cloud Computing. | 2 |
| 11 | Bimodal Multi-Feature Fusion Based on Quaternion Fisher Discriminant Analysis | 1 |
| 12 | A New Watermarking Frame Based on the Genetic Algorithms and Wavelet Packet Decomposition | 5 |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 2 |
About Linlin Tang
Linlin Tang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 42 papers that have together received 280 indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Image Retrieval and Classification Techniques (9 papers) and Advanced Steganography and Watermarking Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (111 citations), Control and Systems Engineering (60 citations) and Information Systems (36 citations). Linlin Tang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Renxiang Chen, Yuenan Li, Xiaolin Hu, Jeng‐Shyang Pan, Jun-Bao Li, Zuohua Li, Jingyong Su, Zhe‐Ming Lu, Wei Liu and Junbao Li. Their work appears in journals such as IEEE Access, Sensors and IEEE Transactions on Industrial Informatics.
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.