Cong Wang
Impact in
- Information Systems top 0.01%
- Cloud Data Security Solutions
- Blockchain Technology Applications and Security
- Cloud Computing and Resource Management
- Artificial Intelligence top 0.02%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Security and Verification in Computing
Papers in
-
- Cryptography and Data Security 146
- Privacy-Preserving Technologies in Data 113
- Internet Traffic Analysis and Secure E-voting 31
- Adversarial Robustness in Machine Learning 26
-
- Cloud Data Security Solutions 63
- Blockchain Technology Applications and Security 48
- Co-authors
- Kui Ren (57 shared papers)Wenjing Lou (16 shared papers)Qian Wang (60 shared papers)Jin Li (7 shared papers)Ning Cao (7 shared papers)Shucheng Yu (3 shared papers)Xingliang Yuan (57 shared papers)Ming Li (2 shared papers)
- Journals
- IEEE Transactions on Dependable and Secure Computing (30 papers)IEEE Transactions on Information Forensics and Security (25 papers)IEEE Transactions on Parallel and Distributed Systems (16 papers)IEEE Transactions on Services Computing (10 papers)IEEE Network (7 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Cong Wang
331 papers receiving 17.5k citations
Cong Wang's Hit Papers
Peers
Comparison fields: 5 of 162
- Information Systems 12.1k
- Artificial Intelligence 13.9k
- Computer Networks and Communications 3.3k
- Computer Science Applications 625
- Computer Vision and Pattern Recognition 2.2k
Countries citing papers authored by Cong Wang
This map shows the geographic impact of Cong Wang'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 Cong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Wang more than expected).
Fields of papers citing papers by Cong Wang
This network shows the impact of papers produced by Cong Wang. 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 Cong Wang. The network helps show where Cong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 353 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Achieving Secure, Scalable, and Fine-grained Data Access Control in Cloud Computing Hit paper breakdown → | 2010 | 1162 |
| 2 | Enabling Public Auditability and Data Dynamics for Storage Security in Cloud Computing Hit paper breakdown → | 2010 | 1110 |
| 3 | Privacy-Preserving Public Auditing for Data Storage Security in Cloud Computing Hit paper breakdown → | 2010 | 1026 |
| 4 | Privacy-Preserving Public Auditing for Secure Cloud Storage Hit paper breakdown → | 2011 | 1016 |
| 5 | Privacy-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data Hit paper breakdown → | 2013 | 920 |
| 6 | Fuzzy Keyword Search over Encrypted Data in Cloud Computing Hit paper breakdown → | 2010 | 647 |
| 7 | Enabling Public Verifiability and Data Dynamics for Storage Security in Cloud Computing Hit paper breakdown → | 2009 | 639 |
| 8 | Security Challenges for the Public Cloud Hit paper breakdown → | 2012 | 635 |
| 9 | Ensuring data storage security in Cloud Computing Hit paper breakdown → | 2009 | 557 |
| 10 | Secure Ranked Keyword Search over Encrypted Cloud Data Hit paper breakdown → | 2010 | 516 |
| 11 | Attribute based data sharing with attribute revocation Hit paper breakdown → | 2010 | 469 |
| 12 | 2001 | 469 | |
| 13 | Toward Secure and Dependable Storage Services in Cloud Computing Hit paper breakdown → | 2011 | 448 |
| 14 | Enabling Secure and Efficient Ranked Keyword Search over Outsourced Cloud Data Hit paper breakdown → | 2011 | 404 |
| 15 | Privacy-preserving multi-keyword ranked search over encrypted cloud data Hit paper breakdown → | 2011 | 396 |
| 16 | 2010 | 300 | |
| 17 | 2011 | 242 | |
| 18 | 2012 | 225 | |
| 19 | 1998 | 223 | |
| 20 | 2018 | 205 |
About Cong Wang
Cong Wang is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 353 papers that have together received 19.0k indexed citations. Recurring topics across this work include Cryptography and Data Security (146 papers), Privacy-Preserving Technologies in Data (113 papers), Cloud Data Security Solutions (63 papers), Blockchain Technology Applications and Security (48 papers), Internet Traffic Analysis and Secure E-voting (31 papers), Adversarial Robustness in Machine Learning (26 papers), Mobile Crowdsensing and Crowdsourcing (20 papers) and Advanced Steganography and Watermarking Techniques (18 papers). The work is most often cited by research in Information Systems (12.1k citations), Artificial Intelligence (13.9k citations), Computer Networks and Communications (3.3k citations), Computer Science Applications (625 citations) and Computer Vision and Pattern Recognition (2.2k citations). Cong Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Kui Ren, Wenjing Lou, Qian Wang, Jin Li, Ning Cao, Shucheng Yu, Xingliang Yuan, Ming Li, Yifeng Zheng and Sherman S. M. Chow. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Services Computing and IEEE Network.
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.