Wenjing Ma
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 28
- Embedded Systems Design Techniques 4
- Computational Mathematics top 5%
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- Distributed and Parallel Computing Systems 16
- Advanced Data Storage Technologies 15
- Pollution top 10%
- Information Systems top 10%
- Data Mining Algorithms and Applications 3
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- Nuclear Physics and Applications 6
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- Nuclear reactor physics and engineering 6
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- Algorithms and Data Compression 5
- Co-authors
- Gagan AgrawalSriram KrishnamoorthyKarol KowalskiOreste VillaVignesh T. RaviXiaoyu GaoPeipei SongDavid Chiu
- Journals
- Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms (3 papers)Annals of Nuclear Energy (2 papers)Journal of Chemical Theory and Computation (2 papers)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Wenjing Ma
74 papers receiving 723 citations
Peers
Comparison fields: 5 of 105
- Hardware and Architecture 285
- Computational Mathematics 22
- Computer Networks and Communications 269
- Pollution 65
- Information Systems 104
Countries citing papers authored by Wenjing Ma
This map shows the geographic impact of Wenjing Ma'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 Wenjing Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjing Ma more than expected).
Fields of papers citing papers by Wenjing Ma
This network shows the impact of papers produced by Wenjing Ma. 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 Wenjing Ma. The network helps show where Wenjing Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wenjing Ma, 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 | 2 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 21 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 20 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 0 | |
| 14 | 2022 | 0 | |
| 15 | 2022 | 0 | |
| 16 | 2022 | 0 | |
| 17 | 2020 | 2 | |
| 18 | 2016 | 3 | |
| 19 | 2015 | 2 | |
| 20 | 2011 | 67 |
About Wenjing Ma
Wenjing Ma is a scholar working on Hardware and Architecture, Computational Mathematics and Computer Networks and Communications, having authored 81 papers that have together received 751 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (28 papers), Distributed and Parallel Computing Systems (16 papers), Advanced Data Storage Technologies (15 papers), Nuclear Physics and Applications (6 papers), Nuclear reactor physics and engineering (6 papers), Algorithms and Data Compression (5 papers), Embedded Systems Design Techniques (4 papers) and Data Mining Algorithms and Applications (3 papers). The work is most often cited by research in Hardware and Architecture (285 citations), Computational Mathematics (22 citations) and Computer Networks and Communications (269 citations). Wenjing Ma has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Gagan Agrawal, Sriram Krishnamoorthy, Karol Kowalski, Oreste Villa, Vignesh T. Ravi, Xiaoyu Gao, Peipei Song, David Chiu, Jun Wang and Shiyun Ai. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Annals of Nuclear Energy, Journal of Chemical Theory and Computation, Nuclear Engineering and Technology and Organic Chemistry Frontiers.
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.