Dongxia Wang
Impact in
Papers in
-
- Machine Learning and ELM 5
- Anomaly Detection Techniques and Applications 3
-
- Network Security and Intrusion Detection 4
- Software System Performance and Reliability 3
- Co-authors
- Xiulan Wen (6 shared papers)Yibing Zhao (3 shared papers)Fenglin Wang (3 shared papers)Changming Dong (1 shared paper)Jingyi Wang (2 shared papers)Brandon J. Bethel (1 shared paper)Wenjin Sun (1 shared paper)Youcheng Sun (1 shared paper)
- Journals
- Precision Engineering (2 papers)Computing (1 paper)Chinese Journal of Mechanical Engineering (1 paper)Future Generation Computer Systems (1 paper)Astrodynamics (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Dongxia Wang
32 papers receiving 262 citations
Peers
Comparison fields: 5 of 54
- Software 19
- Statistics, Probability and Uncertainty 26
- Artificial Intelligence 99
- Industrial and Manufacturing Engineering 28
- Signal Processing 29
Countries citing papers authored by Dongxia Wang
This map shows the geographic impact of Dongxia 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 Dongxia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongxia Wang more than expected).
Fields of papers citing papers by Dongxia Wang
This network shows the impact of papers produced by Dongxia 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 Dongxia Wang. The network helps show where Dongxia Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dongxia 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
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 43 | |
| 2 | 2013 | 40 | |
| 3 | 2011 | 33 | |
| 4 | 2022 | 28 | |
| 5 | 2014 | 15 | |
| 6 | 2017 | 14 | |
| 7 | 2015 | 12 | |
| 8 | 2015 | 10 | |
| 9 | 2016 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2009 | 6 | |
| 12 | 2008 | 6 | |
| 13 | 2014 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2016 | 3 | |
| 18 | 2010 | 3 | |
| 19 | 2019 | 2 | |
| 20 | 2009 | 2 |
About Dongxia Wang
Dongxia Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Computational Mechanics, having authored 36 papers that have together received 268 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (5 papers), Machine Learning and ELM (5 papers), Sparse and Compressive Sensing Techniques (4 papers), Information and Cyber Security (4 papers), Network Security and Intrusion Detection (4 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Malware Detection Techniques (3 papers) and Software System Performance and Reliability (3 papers). The work is most often cited by research in Software (19 citations), Statistics, Probability and Uncertainty (26 citations), Artificial Intelligence (99 citations), Industrial and Manufacturing Engineering (28 citations) and Signal Processing (29 citations). Dongxia Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xiulan Wen, Yibing Zhao, Fenglin Wang, Changming Dong, Jingyi Wang, Brandon J. Bethel, Wenjin Sun, Youcheng Sun, Xingjun Ma and Jun Sun. Their work appears in journals such as Precision Engineering, Computing, Chinese Journal of Mechanical Engineering, Future Generation Computer Systems and Astrodynamics.
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.