Rujia Wang
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Advanced Data Storage Technologies
Papers in
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- Parallel Computing and Optimization Techniques 18
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- Advanced Data Storage Technologies 14
- Co-authors
- Youtao ZhangJun YangLei JiangSparsh MittalJeffrey S. VetterLinzhang WangXian‐He SunKe Liu
- Journals
- IEEE Computer Architecture Letters (4 papers)IEEE Transactions on Parallel and Distributed Systems (2 papers)Journal of Materials Processing Technology (1 paper)The International Journal of Advanced Manufacturing Technology (1 paper)Composites Communications (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Rujia Wang
42 papers receiving 533 citations
Peers
Comparison fields: 5 of 49
- Hardware and Architecture 174
- Computer Networks and Communications 211
- Electrical and Electronic Engineering 246
- Artificial Intelligence 104
- Polymers and Plastics 37
Countries citing papers authored by Rujia Wang
This map shows the geographic impact of Rujia 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 Rujia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rujia Wang more than expected).
Fields of papers citing papers by Rujia Wang
This network shows the impact of papers produced by Rujia 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 Rujia Wang. The network helps show where Rujia Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rujia 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 16 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 16 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 0 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 1 | |
| 15 | 2020 | 3 | |
| 16 | 2020 | 63 | |
| 17 | 2019 | 6 | |
| 18 | 2017 | 49 | |
| 19 | 2015 | 18 | |
| 20 | 2015 | 34 |
About Rujia Wang
Rujia Wang is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Information Systems and Metals and Alloys, having authored 46 papers that have together received 545 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (18 papers), Advanced Data Storage Technologies (14 papers), Security and Verification in Computing (10 papers), Cryptography and Data Security (9 papers), Graph Theory and Algorithms (6 papers), Advanced Memory and Neural Computing (6 papers), Cloud Computing and Resource Management (4 papers) and Phase-change materials and chalcogenides (3 papers). The work is most often cited by research in Hardware and Architecture (174 citations), Computer Networks and Communications (211 citations), Electrical and Electronic Engineering (246 citations), Artificial Intelligence (104 citations) and Polymers and Plastics (37 citations). Rujia Wang has collaborated with scholars based in United States, China and India. Frequent co-authors include Youtao Zhang, Jun Yang, Lei Jiang, Sparsh Mittal, Jeffrey S. Vetter, Linzhang Wang, Xian‐He Sun, Ke Liu, Yuanli Chen and Weibing Zhong. Their work appears in journals such as IEEE Computer Architecture Letters, IEEE Transactions on Parallel and Distributed Systems, Journal of Materials Processing Technology, The International Journal of Advanced Manufacturing Technology and Composites Communications.
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.