Xiaojun Ma
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Molecular Biology
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Fabrizio LombardiJing HuangMehedi MasudAshutosh SharmaHaoyu WangGurjot Singh GabaCecilia MetraKeizo Oyama
- Topics
- DNA and Biological Computing (6 papers)Advanced biosensing and bioanalysis techniques (6 papers)Quantum-Dot Cellular Automata (5 papers)
- Cited by
- Computational Theory and MathematicsIndustrial and Manufacturing EngineeringSafety, Risk, Reliability and Quality
- Partner nations
- United StatesChinaJapan
In The Last Decade
Xiaojun Ma
26 papers receiving 239 citations
Peers
Comparison fields: 5 of 63
- Electrical and Electronic Engineering 90
- Computational Theory and Mathematics 78
- Artificial Intelligence 54
- Molecular Biology 37
- Industrial and Manufacturing Engineering 34
Countries citing papers authored by Xiaojun Ma
This map shows the geographic impact of Xiaojun 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 Xiaojun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Ma more than expected).
Fields of papers citing papers by Xiaojun Ma
This network shows the impact of papers produced by Xiaojun 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 Xiaojun Ma. The network helps show where Xiaojun Ma may publish in the future.
Co-authorship network of co-authors of Xiaojun Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Ma. A scholar is included among the top collaborators of Xiaojun Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaojun Ma. Xiaojun Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 20 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 20 | |
| 16 | Error Tolerant DNA Self-Assembly Using (2k − 1)×(2k − 1) Snake Tile Sets | 1 |
| 17 | 22 | |
| 18 | 2 | |
| 19 | 18 | |
| 20 | 3 |
About Xiaojun Ma
Xiaojun Ma is a scholar working on Medical Laboratory Technology, Computational Theory and Mathematics and Hardware and Architecture, having authored 31 papers that have together received 254 indexed citations. Recurring topics across this work include DNA and Biological Computing (6 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Quantum-Dot Cellular Automata (5 papers). The work is most often cited by research in Computational Theory and Mathematics (78 citations), Industrial and Manufacturing Engineering (34 citations) and Safety, Risk, Reliability and Quality (21 citations). Xiaojun Ma has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Fabrizio Lombardi, Jing Huang, Mehedi Masud, Ashutosh Sharma, Haoyu Wang, Gurjot Singh Gaba, Cecilia Metra, Jing Huang, Keizo Oyama and Wei Deng. Their work appears in journals such as Sustainability, Tectonics and Gondwana Research.
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.