Ting Yu
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Signal Processing top 2%
- Sociology and Political Science top 10%
- Co-authors
- Issa KhalilZach JorgensenMarc DaciérYury ZhauniarovichBei GuanZhan QinDivesh SrivastavaXiaokui Xiao
- Topics
- Network Security and Intrusion Detection (13 papers)Spam and Phishing Detection (11 papers)Advanced Malware Detection Techniques (10 papers)
- Journals
- ACM Computing SurveysInternational Journal of Production ResearchJournal of Media Literacy Education
- Partner nations
- United StatesQatarChina
In The Last Decade
Ting Yu
36 papers receiving 839 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 519
- Information Systems 453
- Computer Networks and Communications 358
- Signal Processing 309
- Sociology and Political Science 169
Countries citing papers authored by Ting Yu
This map shows the geographic impact of Ting Yu'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 Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Yu more than expected).
Fields of papers citing papers by Ting Yu
This network shows the impact of papers produced by Ting Yu. 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 Yu. The network helps show where Ting Yu may publish in the future.
Co-authorship network of co-authors of Ting Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Ting Yu. A scholar is included among the top collaborators of Ting Yu 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 Yu. Ting Yu 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 | 0 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | {EOSAFE}: Security Analysis of {EOSIO} Smart Contracts | 12 |
| 10 | 5 | |
| 11 | 10 | |
| 12 | Towards large-scale hunting for Android negative-day malware | 7 |
| 13 | 119 | |
| 14 | 19 | |
| 15 | 119 | |
| 16 | 2 | |
| 17 | 83 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 86 |
About Ting Yu
Ting Yu is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications, having authored 42 papers that have together received 892 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (13 papers), Spam and Phishing Detection (11 papers) and Advanced Malware Detection Techniques (10 papers). The work is most often cited by research in Signal Processing (309 citations), Information Systems (453 citations) and Artificial Intelligence (519 citations). Ting Yu has collaborated with scholars based in United States, Qatar and China. Frequent co-authors include Issa Khalil, Zach Jorgensen, Marc Daciér, Yury Zhauniarovich, Bei Guan, Zhan Qin, Divesh Srivastava, Xiaokui Xiao, Kui Ren and Yin Yang. Their work appears in journals such as ACM Computing Surveys, International Journal of Production Research and Journal of Media Literacy Education.
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.