Fang Yu
- Information Systems top 0.5%
- Artificial Intelligence top 1%
- Computer Networks and Communications top 1%
- Signal Processing top 1%
- Sociology and Political Science top 10%
- Co-authors
- Yinglian XieKannan AchanGeoff HultenIvan OsipkovRina PanigrahyMartı́n AbadiZhou LiXiaofeng Wang
- Topics
- Spam and Phishing Detection (18 papers)Network Security and Intrusion Detection (18 papers)Internet Traffic Analysis and Secure E-voting (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsVaccine
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Fang Yu
50 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 90
- Information Systems 873
- Artificial Intelligence 853
- Computer Networks and Communications 825
- Signal Processing 522
- Sociology and Political Science 147
Countries citing papers authored by Fang Yu
This map shows the geographic impact of Fang 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 Fang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Yu more than expected).
Fields of papers citing papers by Fang Yu
This network shows the impact of papers produced by Fang 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 Fang Yu. The network helps show where Fang Yu may publish in the future.
Co-authorship network of co-authors of Fang Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Yu. A scholar is included among the top collaborators of Fang 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 Fang Yu. Fang 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 | 1 | |
| 3 | 24 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 42 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 0 | |
| 12 | Intention and Origination: An Inside Look at Large-Scale Bot Queries. | 12 |
| 13 | Host Fingerprinting and Tracking on the Web: Privacy and Security Implications. | 87 |
| 14 | 29 | |
| 15 | deSEO: combating search-result poisoning | 52 |
| 16 | On Network-level Clusters for Spam Detection. | 41 |
| 17 | BotGraph: large scale spamming botnet detection | 121 |
| 18 | Simplified Function Point Analysis Method Aiming at Small-to-medium-sized Software | 1 |
| 19 | 120 | |
| 20 | 1 |
About Fang Yu
Fang Yu is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Spam and Phishing Detection (18 papers), Network Security and Intrusion Detection (18 papers) and Internet Traffic Analysis and Secure E-voting (13 papers). The work is most often cited by research in Signal Processing (522 citations), Information Systems (873 citations) and Computer Networks and Communications (825 citations). Fang Yu has collaborated with scholars based in China, United States and India. Frequent co-authors include Yinglian Xie, Kannan Achan, Geoff Hulten, Ivan Osipkov, Rina Panigrahy, Martı́n Abadi, Zhou Li, Xiaofeng Wang, Qifa Ke and Kehuan Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Vaccine.
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.