Yu Feng
- Software top 1%
- Software Testing and Debugging Techniques 13
- Signal Processing top 1%
- Advanced Malware Detection Techniques 17
- Information Systems top 1%
- Software Engineering Research 11
- Blockchain Technology Applications and Security 4
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- Advanced Database Systems and Queries 4
- Network Security and Intrusion Detection 3
- Artificial Intelligence top 5%
- Security and Verification in Computing 9
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- Formal Methods in Verification 4
- Co-authors
- Işıl DilligSaswat AnandAlex AikenRuben MartinsOsbert BastaniSwarat ChaudhuriYuepeng WangThomas Reps
- Journals
- Proceedings of the VLDB Endowment (1 paper)ACM SIGPLAN Notices (3 papers)International Transactions in Operational Research (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Yu Feng
37 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Software 391
- Signal Processing 480
- Information Systems 573
- Computer Networks and Communications 363
- Artificial Intelligence 368
Countries citing papers authored by Yu Feng
This map shows the geographic impact of Yu Feng'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 Yu Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Feng more than expected).
Fields of papers citing papers by Yu Feng
This network shows the impact of papers produced by Yu Feng. 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 Yu Feng. The network helps show where Yu Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu Feng, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 8 | |
| 4 | 2022 | 58 | |
| 5 | 2022 | 14 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 3 | |
| 8 | 2019 | 15 | |
| 9 | 2019 | 11 | |
| 10 | 2018 | 56 | |
| 11 | 2018 | 24 | |
| 12 | 2017 | 18 | |
| 13 | 2017 | 40 | |
| 14 | 2017 | 32 | |
| 15 | 2016 | 62 | |
| 16 | 2015 | 11 | |
| 17 | 2014 | 4 | |
| 18 | 2014 | 7 | |
| 19 | 2009 | 10 | |
| 20 | 2007 | 61 |
About Yu Feng
Yu Feng is a scholar working on Software, Signal Processing and Information Systems, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (17 papers), Software Testing and Debugging Techniques (13 papers), Software Engineering Research (11 papers), Security and Verification in Computing (9 papers), Advanced Database Systems and Queries (4 papers), Blockchain Technology Applications and Security (4 papers), Formal Methods in Verification (4 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Software (391 citations), Signal Processing (480 citations) and Information Systems (573 citations). Yu Feng has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Işıl Dillig, Saswat Anand, Alex Aiken, Ruben Martins, Osbert Bastani, Swarat Chaudhuri, Yuepeng Wang, Thomas Reps, Jia Chen and Joshua M. Epstein. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGPLAN Notices and International Transactions in Operational Research.
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.