Steve Sheng
Impact in
- Information Systems top 0.5%
- Spam and Phishing Detection
- User Authentication and Security Systems
- Information and Cyber Security
- Cybercrime and Law Enforcement Studies
- Signal Processing top 1%
- Advanced Malware Detection Techniques
Papers in
-
- Spam and Phishing Detection 10
- User Authentication and Security Systems 3
- Cybercrime and Law Enforcement Studies 2
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- Advanced Malware Detection Techniques 3
- Co-authors
- Lorrie Faith Cranor (11 shared papers)Ponnurangam Kumaraguru (7 shared papers)Julie S. Downs (2 shared papers)Jason Hong (6 shared papers)Alessandro Acquisti (6 shared papers)Brad Wardman (1 shared paper)Chengshan Zhang (1 shared paper)Gary Warner (1 shared paper)
- Journals
- Electronic Commerce Research and Applications (1 paper)ACM Transactions on Internet Technology (1 paper)KiltHub Repository (2 papers)Figshare (2 papers)
- Partner nations
- United StatesIndia
In The Last Decade
Steve Sheng
13 papers receiving 1.8k citations
Steve Sheng's Hit Papers
Peers
Comparison fields: 5 of 68
- Information Systems 1.5k
- Signal Processing 618
- Computer Science Applications 195
- Sociology and Political Science 679
- Artificial Intelligence 440
Countries citing papers authored by Steve Sheng
This map shows the geographic impact of Steve Sheng'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 Steve Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Sheng more than expected).
Fields of papers citing papers by Steve Sheng
This network shows the impact of papers produced by Steve Sheng. 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 Steve Sheng. The network helps show where Steve Sheng may publish in the future.
Co-authors
The 14 scholars most cited alongside Steve Sheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Who falls for phish? Hit paper breakdown → | 2010 | 475 |
| 2 | Anti-Phishing Phil Hit paper breakdown → | 2007 | 409 |
| 3 | Are your participants gaming the system? Hit paper breakdown → | 2010 | 348 |
| 4 | 2010 | 307 | |
| 5 | 2018 | 121 | |
| 6 | 2007 | 108 | |
| 7 | 2008 | 79 | |
| 8 | 2008 | 47 | |
| 9 | 2009 | 17 | |
| 10 | 2018 | 7 | |
| 11 | 2018 | 3 | |
| 12 | 2018 | 2 | |
| 13 | A RESTful Web Service for Internet Name and Address Directory Services. | 2011 | 1 |
About Steve Sheng
Steve Sheng is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Sociology and Political Science and Computer Science Applications, having authored 13 papers that have together received 1.9k indexed citations. Recurring topics across this work include Spam and Phishing Detection (10 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Hate Speech and Cyberbullying Detection (3 papers), Advanced Malware Detection Techniques (3 papers), Privacy, Security, and Data Protection (3 papers), User Authentication and Security Systems (3 papers), Misinformation and Its Impacts (2 papers) and Cybercrime and Law Enforcement Studies (2 papers). The work is most often cited by research in Information Systems (1.5k citations), Signal Processing (618 citations), Computer Science Applications (195 citations), Sociology and Political Science (679 citations) and Artificial Intelligence (440 citations). Steve Sheng has collaborated with scholars based in United States and India. Frequent co-authors include Lorrie Faith Cranor, Ponnurangam Kumaraguru, Julie S. Downs, Jason Hong, Alessandro Acquisti, Brad Wardman, Chengshan Zhang, Gary Warner, Sharique Hasan and Aleecia M. McDonald. Their work appears in journals such as Electronic Commerce Research and Applications, ACM Transactions on Internet Technology, KiltHub Repository and Figshare.
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.