Chen Fu
Impact in
- Software top 1%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Information Systems top 0.5%
- Software Engineering Research
- Web Data Mining and Analysis
Papers in
-
- Software Engineering Research 18
- Web Data Mining and Analysis 6
-
- Software System Performance and Reliability 9
- Co-authors
- Mark Grechanik (17 shared papers)Qing Xie (17 shared papers)Collin McMillan (7 shared papers)Denys Poshyvanyk (7 shared papers)Barbara G. Ryder (6 shared papers)Xue Bai (1 shared paper)David Wonnacott (4 shared papers)Ana Milanova (3 shared papers)
- Journals
- Bioinformatics (2 papers)IEEE Transactions on Software Engineering (2 papers)Agriculture Ecosystems & Environment (1 paper)Oncogene (1 paper)BMC Nephrology (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Chen Fu
85 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 145
- Software 655
- Information Systems 1.1k
- Computer Science Applications 161
- Computer Networks and Communications 453
- Signal Processing 197
Countries citing papers authored by Chen Fu
This map shows the geographic impact of Chen Fu'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 Chen Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Fu more than expected).
Fields of papers citing papers by Chen Fu
This network shows the impact of papers produced by Chen Fu. 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 Chen Fu. The network helps show where Chen Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Fu, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 250 | |
| 2 | 2009 | 128 | |
| 3 | 2010 | 115 | |
| 4 | 2014 | 113 | |
| 5 | 2011 | 109 | |
| 6 | 2007 | 76 | |
| 7 | 2007 | 73 | |
| 8 | 2010 | 72 | |
| 9 | 2013 | 69 | |
| 10 | 2004 | 53 | |
| 11 | 2013 | 52 | |
| 12 | 2019 | 48 | |
| 13 | 2012 | 48 | |
| 14 | 2005 | 45 | |
| 15 | 2012 | 44 | |
| 16 | 2010 | 40 | |
| 17 | 2009 | 35 | |
| 18 | 2021 | 34 | |
| 19 | 2017 | 34 | |
| 20 | 2016 | 32 |
About Chen Fu
Chen Fu is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Software and Signal Processing, having authored 89 papers that have together received 2.0k indexed citations. Recurring topics across this work include Software Engineering Research (18 papers), Software Testing and Debugging Techniques (18 papers), Software Reliability and Analysis Research (10 papers), Software System Performance and Reliability (9 papers), Advanced Malware Detection Techniques (7 papers), Web Data Mining and Analysis (6 papers), Advanced Text Analysis Techniques (5 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Software (655 citations), Information Systems (1.1k citations), Computer Science Applications (161 citations), Computer Networks and Communications (453 citations) and Signal Processing (197 citations). Chen Fu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Mark Grechanik, Qing Xie, Collin McMillan, Denys Poshyvanyk, Barbara G. Ryder, Xue Bai, David Wonnacott, Ana Milanova, Chad Cumby and Jing Ma. Their work appears in journals such as Bioinformatics, IEEE Transactions on Software Engineering, Agriculture Ecosystems & Environment, Oncogene and BMC Nephrology.
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.