Ruoxi Wang
- Information Systems top 1%
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications 5
- Internet Traffic Analysis and Secure E-voting 2
- Signal Processing top 10%
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- Network Security and Intrusion Detection 8
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- Catalytic C–H Functionalization Methods 3
- Radical Photochemical Reactions 2
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- Graphene research and applications 2
- Boron and Carbon Nanomaterials Research 2
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- Artificial Immune Systems Applications 2
- Journals
- Chemosphere (2 papers)Sensors (2 papers)International Journal of Web and Grid Services (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ruoxi Wang
25 papers receiving 872 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Information Systems 481
- Artificial Intelligence 413
- Computer Vision and Pattern Recognition 254
- Management Science and Operations Research 96
- Signal Processing 78
Countries citing papers authored by Ruoxi Wang
This map shows the geographic impact of Ruoxi 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 Ruoxi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruoxi Wang more than expected).
Fields of papers citing papers by Ruoxi Wang
This network shows the impact of papers produced by Ruoxi 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 Ruoxi Wang. The network helps show where Ruoxi Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruoxi 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 | 2023 | 14 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 9 | |
| 7 | DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems. | 2020 | 5 |
| 8 | 2020 | 1 | |
| 9 | 2020 | 6 | |
| 10 | 2020 | 33 | |
| 11 | 2019 | 5 | |
| 12 | 2018 | 45 | |
| 13 | 2018 | 3 | |
| 14 | 2018 | 12 | |
| 15 | 2018 | 14 | |
| 16 | Deep & Cross Network for Ad Click Predictionsbreakdown → | 2017 | 641 |
| 17 | 2016 | 35 | |
| 18 | 2013 | 15 | |
| 19 | 2005 | 8 | |
| 20 | 2005 | 3 |
About Ruoxi Wang
Ruoxi Wang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence, having authored 26 papers that have together received 906 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Anomaly Detection Techniques and Applications (5 papers), Catalytic C–H Functionalization Methods (3 papers), Graphene research and applications (2 papers), Radical Photochemical Reactions (2 papers), Boron and Carbon Nanomaterials Research (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Artificial Immune Systems Applications (2 papers). The work is most often cited by research in Information Systems (481 citations), Artificial Intelligence (413 citations) and Computer Vision and Pattern Recognition (254 citations). Ruoxi Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Bin Fu, Gang Fu, Mingliang Wang, Chengbu Liu, Lingyu Yan, Dongju Zhang, Zhiwei Ye, Chunzhi Wang, Ohyun Kwon and Feng Chen. Their work appears in journals such as Chemosphere, Sensors, International Journal of Web and Grid Services, EURASIP Journal on Wireless Communications and Networking and Chemical Physics Letters.
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.