Jian Ma
- Control and Systems Engineering top 0.5%
- Mechanical Engineering top 2%
- Electrical and Electronic Engineering top 5%
- Mechanics of Materials top 2%
- Artificial Intelligence top 5%
- Topics
- Machine Fault Diagnosis Techniques (46 papers)Fault Detection and Control Systems (41 papers)Advanced Battery Technologies Research (14 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jian Ma
105 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Control and Systems Engineering 1.6k
- Mechanical Engineering 924
- Electrical and Electronic Engineering 811
- Mechanics of Materials 589
- Artificial Intelligence 385
Countries citing papers authored by Jian Ma
This map shows the geographic impact of Jian 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 Jian Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Ma more than expected).
Fields of papers citing papers by Jian Ma
This network shows the impact of papers produced by Jian 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 Jian Ma. The network helps show where Jian Ma may publish in the future.
Co-authorship network of co-authors of Jian Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Ma. A scholar is included among the top collaborators of Jian 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 Jian Ma. Jian 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 | 11 | |
| 2 | 4 | |
| 3 | 10 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 71 | |
| 8 | 25 | |
| 9 | 176 | |
| 10 | 27 | |
| 11 | Health assessment and fault classification for hydraulic pump based on LR and softmax regression | 11 |
| 12 | Novel Method for Performance Degradation Assessment and Prediction of Hydraulic Servo System | 4 |
| 13 | A deep learning method using SDA combined with dropout for bearing fault diagnosis | 6 |
| 14 | Fault diagnosis for hydraulic pump based on EEMD-KPCA and LVQ | 1 |
| 15 | Detection and recognition of wood defects based on gray transformation and BP neural network. | 1 |
| 16 | Performance assessment and fault classification for hydraulic pump based on LMD and LR | 2 |
| 17 | Bearing Health Assessment Using Gaussian Mixed Model Based on a Hybrid Feature Extraction Schemer | 2 |
| 18 | Target Location Research Based on Image Matching | 1 |
| 19 | Managing Complex Network Operation with Predictive Analytics | 11 |
| 20 | An Incremental Learning Algorithm for Support Vector Machine and its Application | 1 |
About Jian Ma
Jian Ma is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality and Automotive Engineering, having authored 113 papers that have together received 2.9k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (46 papers), Fault Detection and Control Systems (41 papers) and Advanced Battery Technologies Research (14 papers). The work is most often cited by research in Control and Systems Engineering (1.6k citations), Safety, Risk, Reliability and Quality (285 citations) and Automotive Engineering (353 citations). Jian Ma has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chen Lü, Wei-Li Qin, Zhenya Wang, Zili Wang, Hongmei Liu, Yu Ding, Lianfeng Li, Laifa Tao, Ye Tian and Yujie Cheng. Their work appears in journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and Applied Energy.
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.