Ma Jun
Impact in
- Automotive Engineering top 5%
- Advanced Battery Technologies Research
- Oral Surgery top 10%
- Dental Radiography and Imaging
Papers in
-
- Advanced Algorithms and Applications 4
- Industrial Technology and Control Systems 2
- Fault Detection and Control Systems 2
- Co-authors
- Zhenpo Wang (1 shared paper)Lei Yao (1 shared paper)Le Lü (2 shared papers)Ying Meng (1 shared paper)Marcos Salganicoff (1 shared paper)Xiang Zhou (1 shared paper)Arun V. Krishnan (1 shared paper)Yiqiang Zhan (1 shared paper)
In The Last Decade
Ma Jun
21 papers receiving 355 citations
Peers
Comparison fields: 5 of 61
- Automotive Engineering 130
- Oral Surgery 44
- Control and Systems Engineering 94
- Safety, Risk, Reliability and Quality 34
- Transportation 24
Countries citing papers authored by Ma Jun
This map shows the geographic impact of Ma Jun'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 Ma Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ma Jun more than expected).
Fields of papers citing papers by Ma Jun
This network shows the impact of papers produced by Ma Jun. 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 Ma Jun. The network helps show where Ma Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Ma Jun, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 122 | |
| 2 | 2010 | 63 | |
| 3 | 2013 | 50 | |
| 4 | 2008 | 28 | |
| 5 | 2022 | 26 | |
| 6 | 2023 | 19 | |
| 7 | 2021 | 15 | |
| 8 | 2024 | 10 | |
| 9 | 2022 | 6 | |
| 10 | 2020 | 4 | |
| 11 | 2020 | 4 | |
| 12 | 2008 | 4 | |
| 13 | 2024 | 2 | |
| 14 | Simulation and Performance Analysis of Convolutional Codes | 2013 | 2 |
| 15 | 2025 | 2 | |
| 16 | Study on the Technology of Importing Graphics and Documents into PDM Database | 2005 | 2 |
| 17 | A Study of the Effect Factor on Slope Stablility | 2011 | 1 |
| 18 | 2014 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2006 | 1 |
About Ma Jun
Ma Jun is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 26 papers that have together received 364 indexed citations. Recurring topics across this work include Advanced Algorithms and Applications (4 papers), Industrial Vision Systems and Defect Detection (3 papers), Medical Image Segmentation Techniques (2 papers), Image Processing Techniques and Applications (2 papers), Industrial Technology and Control Systems (2 papers), Medical Imaging and Analysis (2 papers), Fault Detection and Control Systems (2 papers) and Dental Radiography and Imaging (2 papers). The work is most often cited by research in Automotive Engineering (130 citations), Oral Surgery (44 citations), Control and Systems Engineering (94 citations), Safety, Risk, Reliability and Quality (34 citations) and Transportation (24 citations). Ma Jun has collaborated with scholars based in China, Russia and Singapore. Frequent co-authors include Zhenpo Wang, Lei Yao, Le Lü, Ying Meng, Marcos Salganicoff, Xiang Zhou, Arun V. Krishnan, Yiqiang Zhan, Qian Wang and Jingjing Guo. Their work appears in journals such as Journal of Intelligent Transportation Systems, Process Safety and Environmental Protection, Journal of Intelligent Manufacturing, Journal of Power Sources and Computer-Aided Civil and Infrastructure Engineering.
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.