Yuliang Shi
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Topics
- Service-Oriented Architecture and Web Services (22 papers)Cloud Computing and Resource Management (21 papers)Recommender Systems and Techniques (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiomaterialsApplied Catalysis B: Environmental
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Yuliang Shi
131 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 145
- Information Systems 414
- Artificial Intelligence 359
- Computer Networks and Communications 285
- Molecular Biology 219
- Computer Vision and Pattern Recognition 185
Countries citing papers authored by Yuliang Shi
This map shows the geographic impact of Yuliang Shi'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 Yuliang Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuliang Shi more than expected).
Fields of papers citing papers by Yuliang Shi
This network shows the impact of papers produced by Yuliang Shi. 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 Yuliang Shi. The network helps show where Yuliang Shi may publish in the future.
Co-authorship network of co-authors of Yuliang Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Yuliang Shi. A scholar is included among the top collaborators of Yuliang Shi 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 Yuliang Shi. Yuliang Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 20 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 0 | |
| 13 | 9 | |
| 14 | 13 | |
| 15 | 47 | |
| 16 | Gait Recognition Algorithm Based on Hidden Markov Model | 3 |
| 17 | Computation Services and Applications of Electricity Big Data Based on Hadoop | 2 |
| 18 | Method and Supporting Framework for Business domain-oriented Web Service Discovery | 2 |
| 19 | New method to calculate sediment dry density | 1 |
| 20 | LRRP SpeechWebs | 3 |
About Yuliang Shi
Yuliang Shi is a scholar working on Information Systems, Health Information Management and Artificial Intelligence, having authored 148 papers that have together received 1.3k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (22 papers), Cloud Computing and Resource Management (21 papers) and Recommender Systems and Techniques (15 papers). The work is most often cited by research in Information Systems (414 citations), Computer Networks and Communications (285 citations) and Artificial Intelligence (359 citations). Yuliang Shi has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Lizhen Cui, Qingzhong Li, Xianggang Zhang, Huiqin Wang, Hao Wang, Ji‐Jiang Yang, Xin-Shun Xu, Rui Yang, Shi Chen and Hui Pan. Their work appears in journals such as SHILAP Revista de lepidopterología, Biomaterials and Applied Catalysis B: Environmental.
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.