National Computer Network Emergency Response Technical Team/Coordination Center of Chinar
Impact in
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- Internet Traffic Analysis and Secure E-voting
- Topic Modeling
- Sentiment Analysis and Opinion Mining
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- Network Security and Intrusion Detection
Papers in
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- Internet Traffic Analysis and Secure E-voting 136
- Topic Modeling 57
- Cryptography and Data Security 46
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- Network Security and Intrusion Detection 166
National Computer Network Emergency Response Technical Team/Coordination Center of Chinar
1.2k papers receiving 14.7k citations
Peers
Comparison fields: 5 of 155
- Artificial Intelligence 5.2k
- Computer Networks and Communications 3.1k
- Information Systems 2.2k
- Signal Processing 669
- Computer Vision and Pattern Recognition 1.7k
Countries citing scholars working at National Computer Network Emergency Response Technical Team/Coordination Center of Chinar
This map shows the geographic impact of research produced by authors working at National Computer Network Emergency Response Technical Team/Coordination Center of Chinar. 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 National Computer Network Emergency Response Technical Team/Coordination Center of Chinar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites National Computer Network Emergency Response Technical Team/Coordination Center of Chinar more than expected).
Fields of papers published by authors at National Computer Network Emergency Response Technical Team/Coordination Center of Chinar
This network shows the impact of papers affiliated with National Computer Network Emergency Response Technical Team/Coordination Center of Chinar 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 National Computer Network Emergency Response Technical Team/Coordination Center of Chinar at the time of their publication.
About National Computer Network Emergency Response Technical Team/Coordination Center of Chinar
In recent decades, authors affiliated with National Computer Network Emergency Response Technical Team/Coordination Center of Chinar have published 1.4k papers, which have received a total of 14.7k indexed citations . Scholars at this organization have produced 509 papers in Artificial Intelligence, 322 papers in Computer Networks and Communications, 97 papers in Signal Processing, 273 papers in Information Systems and 162 papers in Computer Vision and Pattern Recognition on the topics of Network Security and Intrusion Detection (166 papers), Internet Traffic Analysis and Secure E-voting (136 papers), Advanced Malware Detection Techniques (75 papers), Complex Network Analysis Techniques (58 papers), Topic Modeling (57 papers), Spam and Phishing Detection (57 papers), Cryptography and Data Security (46 papers) and Recommender Systems and Techniques (43 papers). Their work is cited by papers focused on Artificial Intelligence (5.2k citations), Computer Networks and Communications (3.1k citations), Information Systems (2.2k citations), Signal Processing (669 citations) and Computer Vision and Pattern Recognition (1.7k citations). Authors at National Computer Network Emergency Response Technical Team/Coordination Center of Chinar collaborate with scholars in China, United States and United Kingdom and have published in prestigious journals including IEEE Access, Computers & Security, Neurocomputing, China Communications and Lecture notes in computer science. Some of National Computer Network Emergency Response Technical Team/Coordination Center of Chinar's most productive authors include Lihong Wang, Hao Ming Peng, Shu Guo, Zhoujun Li, Senzhang Wang, Xiaoming Zhang, Li Guo, Jianxin Li, Hanbing Yan and Longtao He.
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.