Gang Tan
- Artificial Intelligence top 0.5%
- Signal Processing top 0.5%
- Information Systems top 1%
- Computer Networks and Communications top 2%
- Software top 1%
- Co-authors
- Ben NiuPatrick McDanielZ. Berkay CelikGreg MorrisettTrent JaegerYongkai FanSi‐Liang LiJia Wan
- Topics
- Security and Verification in Computing (62 papers)Advanced Malware Detection Techniques (58 papers)Parallel Computing and Optimization Techniques (16 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Gang Tan
126 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 126
- Artificial Intelligence 1.4k
- Signal Processing 1.2k
- Information Systems 740
- Computer Networks and Communications 716
- Software 336
Countries citing papers authored by Gang Tan
This map shows the geographic impact of Gang Tan'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 Gang Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Tan more than expected).
Fields of papers citing papers by Gang Tan
This network shows the impact of papers produced by Gang Tan. 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 Gang Tan. The network helps show where Gang Tan may publish in the future.
Co-authorship network of co-authors of Gang Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Gang Tan. A scholar is included among the top collaborators of Gang Tan 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 Gang Tan. Gang Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 20 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 78 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | Measuring Attack Surface Reduction in the Presence of Code (Re-)Randomization. | 0 |
| 13 | Soteria: Automated IoT Safety and Security Analysis | 41 |
| 14 | 2 | |
| 15 | 10 | |
| 16 | Strato: a retargetable framework for low-level inlined-reference monitors | 25 |
| 17 | PASSIVHAUS AND NET ZERO ENERGY RESIDENTIAL DESIGNS IN A COLD CLIMATE: A SIMULATION BASED DESIGN PROCESS FOR THE NEXT GENERATION OF GREEN HOMES | 2 |
| 18 | Basic Ideas of Introducing Innovative Scientific and Technological Service Platform for SMEs in Guangxi | 1 |
| 19 | An empirical security study of the native code in the JDK | 47 |
| 20 | Field study of thermal environment in Wannan traditional residential buildings in the summer | 9 |
About Gang Tan
Gang Tan is a scholar working on Signal Processing, Software and Artificial Intelligence, having authored 133 papers that have together received 2.4k indexed citations. Recurring topics across this work include Security and Verification in Computing (62 papers), Advanced Malware Detection Techniques (58 papers) and Parallel Computing and Optimization Techniques (16 papers). The work is most often cited by research in Signal Processing (1.2k citations), Software (336 citations) and Artificial Intelligence (1.4k citations). Gang Tan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Ben Niu, Patrick McDaniel, Z. Berkay Celik, Greg Morrisett, Trent Jaeger, Yongkai Fan, Si‐Liang Li, Jia Wan, Xiaoqin Zheng and Danfeng Yao. Their work appears in journals such as Frontiers in Immunology, Sensors and Composites Science and Technology.
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.