Lin Deng
Impact in
- Software top 1%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Software Engineering Research 12
- Software 20
- Software Testing and Debugging Techniques 16
- Software Reliability and Analysis Research 12
- Co-authors
- Jeff Offutt (12 shared papers)Paul Ammann (4 shared papers)Nan Li (4 shared papers)Suranjan Chakraborty (7 shared papers)Josh Dehlinger (7 shared papers)Márcio Eduardo Delamaro (3 shared papers)Nariman Mirzaei (2 shared papers)Bob Kurtz (1 shared paper)
- Journals
- Measurement (1 paper)Scientific Reports (1 paper)IEEE Security & Privacy (1 paper)Chinese Physics C (1 paper)LWT (1 paper)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Lin Deng
57 papers receiving 661 citations
Peers
Comparison fields: 5 of 96
- Software 339
- Signal Processing 192
- Information Systems 357
- Hardware and Architecture 59
- Computer Networks and Communications 73
Countries citing papers authored by Lin Deng
This map shows the geographic impact of Lin Deng'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 Lin Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Deng more than expected).
Fields of papers citing papers by Lin Deng
This network shows the impact of papers produced by Lin Deng. 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 Lin Deng. The network helps show where Lin Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Deng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 61 | |
| 2 | 2013 | 59 | |
| 3 | 2016 | 55 | |
| 4 | 2019 | 46 | |
| 5 | 2014 | 36 | |
| 6 | 2013 | 31 | |
| 7 | 2016 | 29 | |
| 8 | 2019 | 29 | |
| 9 | 2019 | 29 | |
| 10 | 2015 | 27 | |
| 11 | 2021 | 23 | |
| 12 | 2022 | 16 | |
| 13 | 2019 | 16 | |
| 14 | 2015 | 15 | |
| 15 | 2019 | 15 | |
| 16 | 2013 | 14 | |
| 17 | 2016 | 12 | |
| 18 | 2014 | 11 | |
| 19 | 2021 | 11 | |
| 20 | 2008 | 11 |
About Lin Deng
Lin Deng is a scholar working on Information Systems, Software, Signal Processing, Computer Networks and Communications and Hardware and Architecture, having authored 66 papers that have together received 679 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (16 papers), Software Testing and Debugging Techniques (16 papers), Software Engineering Research (12 papers), Software Reliability and Analysis Research (12 papers), Parallel Computing and Optimization Techniques (9 papers), Advanced Data Storage Technologies (5 papers), Distributed and Parallel Computing Systems (4 papers) and Matrix Theory and Algorithms (4 papers). The work is most often cited by research in Software (339 citations), Signal Processing (192 citations), Information Systems (357 citations), Hardware and Architecture (59 citations) and Computer Networks and Communications (73 citations). Lin Deng has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Jeff Offutt, Paul Ammann, Nan Li, Suranjan Chakraborty, Josh Dehlinger, Márcio Eduardo Delamaro, Nariman Mirzaei, Bob Kurtz, Vinícius H. S. Durelli and Jing Li. Their work appears in journals such as Measurement, Scientific Reports, IEEE Security & Privacy, Chinese Physics C and LWT.
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.