M. Ji
Impact in
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- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
- Nonlinear Dynamics and Pattern Formation
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- Adaptive Control of Nonlinear Systems
- Stability and Control of Uncertain Systems
Papers in ⓘ
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- Cooperative Communication and Network Coding 1
- Co-authors
- Annalisa Buffa (1 shared paper)Magnus Egerstedt (1 shared paper)Giancarlo Ferrari‐Trecate (1 shared paper)Lu Leng (1 shared paper)Muhammad Khurram Khan (1 shared paper)Xue Bi (1 shared paper)Fan Yang (1 shared paper)Linlin Xie (1 shared paper)
- Journals
- IEEE Transactions on Automatic Control (1 paper)Photodiagnosis and Photodynamic Therapy (1 paper)SHILAP Revista de lepidopterología (1 paper)Procedia Computer Science (1 paper)
- Partner nations
- ChinaSaudi ArabiaItaly
In The Last Decade
M. Ji
4 papers receiving 680 citations
Hit Papers
Peers
Comparison fields: 5 of 41
- Computer Networks and Communications 610
- Control and Systems Engineering 279
- Public Health, Environmental and Occupational Health 160
- Computational Theory and Mathematics 59
- Geology 16
Countries citing papers authored by M. Ji
This map shows the geographic impact of M. Ji'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 M. Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ji more than expected).
Fields of papers citing papers by M. Ji
This network shows the impact of papers produced by M. Ji. 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 M. Ji. The network helps show where M. Ji may publish in the future.
Co-authors
The 15 scholars most cited alongside M. Ji, 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 | Containment Control in Mobile Networks Hit paper breakdown → | 2008 | 634 |
| 2 | 2010 | 28 | |
| 3 | 2019 | 23 | |
| 4 | 2022 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2025 | 0 |
About M. Ji
M. Ji is a scholar working on Computer Networks and Communications, Information Systems, Surgery, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 688 indexed citations. Recurring topics across this work include Reconstructive Facial Surgery Techniques (1 paper), Cooperative Communication and Network Coding (1 paper), Biometric Identification and Security (1 paper), Nonmelanoma Skin Cancer Studies (1 paper), Remote Sensing and LiDAR Applications (1 paper), Advanced Steganography and Watermarking Techniques (1 paper), Urban and Freight Transport Logistics (1 paper) and Photodynamic Therapy Research Studies (1 paper). The work is most often cited by research in Computer Networks and Communications (610 citations), Control and Systems Engineering (279 citations), Public Health, Environmental and Occupational Health (160 citations), Computational Theory and Mathematics (59 citations) and Geology (16 citations). M. Ji has collaborated with scholars based in China, Saudi Arabia and Italy. Frequent co-authors include Annalisa Buffa, Magnus Egerstedt, Giancarlo Ferrari‐Trecate, Lu Leng, Muhammad Khurram Khan, Xue Bi, Fan Yang, Linlin Xie, Yongcun Zhao and Shi Pu. Their work appears in journals such as IEEE Transactions on Automatic Control, Photodiagnosis and Photodynamic Therapy, SHILAP Revista de lepidopterología and Procedia Computer Science.
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.