Cloud Computing Center

36.2k citations
1.7k papers ·

Impact in

Papers in

Cloud Computing Center

1.3k papers receiving 34.3k citations

Peers

Cloud Computing Center
Comparison fields: 5 of 230
  • Computer Vision and Pattern Recognition 13.6k
  • Health Informatics 800
  • Computational Mathematics 284
  • Media Technology 2.9k
  • Signal Processing 3.5k
Replace Shenzhen Research Institute of Big Data with:
Shenzhen Research Institute of Big Data China
Group Sense (China) China
Shenzhen Academy of Robotics China
Research Center for Information Technology Innovation, Academia Sinica Taiwan
Shanghai Artificial Intelligence Laboratory China
Institute of Intelligent Machines China
Ant Group (China) China
Guangdong Institute of Intelligent Manufacturing China
ShangHai JiAi Genetics & IVF Institute China
Shanghai Key Laboratory of Trustworthy Computing China
Cloud Computing Center relative to Shenzhen Research Institute of Big Data China Shenzhen Research Institute of Big Data's profile →
Citations per field
00.5×10×20×31.2×
Shenzhen Research Institute of Big Data · 1×
Citations per year

Countries citing scholars working at Cloud Computing Center

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Cloud Computing Center. 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 papers produced at Cloud Computing Center with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cloud Computing Center more than expected).

Fields of papers published by authors at Cloud Computing Center

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Cloud Computing Center at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Cloud Computing Center at the time of their publication.

About Cloud Computing Center

In recent decades, authors affiliated with Cloud Computing Center have published 1.7k papers, which have received a total of 36.2k indexed citations . Scholars at this organization have produced 402 papers in Computer Vision and Pattern Recognition, 349 papers in Computer Networks and Communications, 144 papers in Signal Processing, 284 papers in Information Systems and 401 papers in Artificial Intelligence on the topics of Cloud Computing and Resource Management (143 papers), Face and Expression Recognition (126 papers), IoT and Edge/Fog Computing (118 papers), Video Surveillance and Tracking Methods (71 papers), Topic Modeling (66 papers), Caching and Content Delivery (60 papers), Advanced Data Storage Technologies (58 papers) and Traffic Prediction and Management Techniques (54 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (13.6k citations), Health Informatics (800 citations), Computational Mathematics (284 citations), Media Technology (2.9k citations) and Signal Processing (3.5k citations). Authors at Cloud Computing Center collaborate with scholars in China, United States and Hong Kong and have published in prestigious journals including IEEE Transactions on Neural Networks and Learning Systems, Software Practice and Experience, Neurocomputing, IEEE Transactions on Image Processing and Pattern Recognition. Some of Cloud Computing Center's most productive authors include Yong Dong Xu, Rajkumar Buyya, David Zhang, Jian Jun Yang, Zheng Zhang, Lunke Fei, Amir Vahid Dastjerdi, Gang Xiong, Jie Wen and Xuelong Li.

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.

Explore institutions with similar magnitude of impact