Ting Wu
- Artificial Intelligence top 5%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Co-authors
- Vladimír BlažekMuhammad AlamKim‐Kwang Raymond ChooYizhi RenXingbing FuYan ZhangFagen LiMing Xu
- Topics
- Cryptography and Data Security (17 papers)Advanced Malware Detection Techniques (9 papers)Privacy-Preserving Technologies in Data (6 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ting Wu
62 papers receiving 820 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 338
- Information Systems 265
- Computer Networks and Communications 220
- Computer Vision and Pattern Recognition 190
- Biomedical Engineering 150
Countries citing papers authored by Ting Wu
This map shows the geographic impact of Ting Wu'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 Ting Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Wu more than expected).
Fields of papers citing papers by Ting Wu
This network shows the impact of papers produced by Ting Wu. 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 Ting Wu. The network helps show where Ting Wu may publish in the future.
Co-authorship network of co-authors of Ting Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Ting Wu. A scholar is included among the top collaborators of Ting Wu 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 Ting Wu. Ting Wu 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | Attribute Based Encryption with Efficient Revocation from Lattices. | 13 |
| 10 | 2 | |
| 11 | 15 | |
| 12 | 24 | |
| 13 | 11 | |
| 14 | A Scalable Authentication Protocol with Classified Protection in RFID-based Systems. | 0 |
| 15 | Detection system for gun barrel damage based on active stereo omni-directional vision sensor | 1 |
| 16 | 81 | |
| 17 | An algorithm for semantic chunk identification of Chinese sentence | 1 |
| 18 | 38 | |
| 19 | 3 | |
| 20 | 87 |
About Ting Wu
Ting Wu is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 861 indexed citations. Recurring topics across this work include Cryptography and Data Security (17 papers), Advanced Malware Detection Techniques (9 papers) and Privacy-Preserving Technologies in Data (6 papers). The work is most often cited by research in Information Systems (265 citations), Signal Processing (125 citations) and Artificial Intelligence (338 citations). Ting Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Vladimír Blažek, Muhammad Alam, Kim‐Kwang Raymond Choo, Yizhi Ren, Xingbing Fu, Yan Zhang, Fagen Li, Ming Xu, Yuanfang Chen and Yingmo Jie. Their work appears in journals such as Expert Systems with Applications, Sensors and Information Sciences.
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.