Xueqiang Wang
- Software top 2%
- Software Testing and Debugging Techniques 3
- Signal Processing top 2%
- Advanced Malware Detection Techniques 12
- Information Systems top 5%
- Digital and Cyber Forensics 5
- Spam and Phishing Detection 4
-
- Network Security and Intrusion Detection 3
- Artificial Intelligence top 10%
- Security and Verification in Computing 3
-
- Metallurgy and Material Forming 6
-
- Metal Forming Simulation Techniques 4
- Journals
- Journal of Network and Computer Applications (1 paper)Physical Chemistry Chemical Physics (1 paper)steel research international (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Xueqiang Wang
30 papers receiving 455 citations
Peers
Comparison fields: 5 of 48
- Software 160
- Signal Processing 339
- Information Systems 226
- Computer Networks and Communications 152
- Artificial Intelligence 166
Countries citing papers authored by Xueqiang Wang
This map shows the geographic impact of Xueqiang Wang'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 Xueqiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xueqiang Wang more than expected).
Fields of papers citing papers by Xueqiang Wang
This network shows the impact of papers produced by Xueqiang Wang. 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 Xueqiang Wang. The network helps show where Xueqiang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xueqiang Wang, 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 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 15 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 2 | |
| 10 | Looking from the Mirror: Evaluating IoT Device Security through Mobile Companion Apps | 2019 | 21 |
| 11 | 2019 | 73 | |
| 12 | Understanding iOS-based Crowdturfing Through Hidden UI Analysis. | 2019 | 3 |
| 13 | 2018 | 3 | |
| 14 | 2018 | 24 | |
| 15 | 2015 | 45 | |
| 16 | 2014 | 5 | |
| 17 | 2013 | 4 | |
| 18 | 2012 | 3 | |
| 19 | 2009 | 3 | |
| 20 | 2005 | 2 |
About Xueqiang Wang
Xueqiang Wang is a scholar working on Signal Processing, Software, Information Systems, Mechanics of Materials and Computer Networks and Communications, having authored 31 papers that have together received 468 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (12 papers), Metallurgy and Material Forming (6 papers), Digital and Cyber Forensics (5 papers), Spam and Phishing Detection (4 papers), Metal Forming Simulation Techniques (4 papers), Network Security and Intrusion Detection (3 papers), Software Testing and Debugging Techniques (3 papers) and Security and Verification in Computing (3 papers). The work is most often cited by research in Software (160 citations), Signal Processing (339 citations), Information Systems (226 citations), Computer Networks and Communications (152 citations) and Artificial Intelligence (166 citations). Xueqiang Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xiaofeng Wang, Xiaofeng Wang, Heng Yin, Yue Duan, Xiaorui Pan, Jiwu Jing, Yuewu Wang, Kun Sun, Kai Chen and Bin Liang. Their work appears in journals such as Journal of Network and Computer Applications, Physical Chemistry Chemical Physics, steel research international, Annals of Nuclear Energy and International Journal of Minerals Metallurgy and Materials.
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.