Mo Longbin
Impact in
- Artificial Intelligence top 5%
- Target Tracking and Data Fusion in Sensor Networks
- Aerospace Engineering top 10%
- Inertial Sensor and Navigation
- GNSS positioning and interference
- Guidance and Control Systems
Papers in
-
- Infrared Target Detection Methodologies 2
- Calibration and Measurement Techniques 1
-
- Advanced Measurement and Metrology Techniques 4
- Co-authors
- Yaakov Bar‐Shalom (1 shared paper)Yiyu Zhou (2 shared papers)Xiaoquan Song (1 shared paper)Qi Fang Liu (2 shared papers)Xiaofeng Huang (2 shared papers)Hongkui Wang (2 shared papers)Haibing Yin (2 shared papers)Xianghong Tang (2 shared papers)
- Journals
- Journal of Visual Communication and Image Representation (1 paper)IEEE Transactions on Aerospace and Electronic Systems (1 paper)Signal Processing (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2 papers)
- Partner nations
- China
In The Last Decade
Mo Longbin
9 papers receiving 313 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 306
- Aerospace Engineering 196
- Computer Networks and Communications 73
- Control and Systems Engineering 67
- Oceanography 32
Countries citing papers authored by Mo Longbin
This map shows the geographic impact of Mo Longbin'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 Mo Longbin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mo Longbin more than expected).
Fields of papers citing papers by Mo Longbin
This network shows the impact of papers produced by Mo Longbin. 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 Mo Longbin. The network helps show where Mo Longbin may publish in the future.
Co-authors
The 8 scholars most cited alongside Mo Longbin, 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 | 1998 | 317 | |
| 2 | 1997 | 6 | |
| 3 | 2002 | 3 | |
| 4 | 2002 | 2 | |
| 5 | 2002 | 2 | |
| 6 | 2002 | 2 | |
| 7 | 1997 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2002 | 1 | |
| 10 | 2024 | 0 |
About Mo Longbin
Mo Longbin is a scholar working on Aerospace Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Instrumentation and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 337 indexed citations. Recurring topics across this work include Advanced Measurement and Detection Methods (5 papers), Advanced Measurement and Metrology Techniques (4 papers), Infrared Target Detection Methodologies (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Image and Video Quality Assessment (2 papers), Calibration and Measurement Techniques (1 paper), Optical Systems and Laser Technology (1 paper) and Advanced Image Processing Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (306 citations), Aerospace Engineering (196 citations), Computer Networks and Communications (73 citations), Control and Systems Engineering (67 citations) and Oceanography (32 citations). Mo Longbin has collaborated with scholars based in China. Frequent co-authors include Yaakov Bar‐Shalom, Yiyu Zhou, Xiaoquan Song, Qi Fang Liu, Xiaofeng Huang, Hongkui Wang, Haibing Yin and Xianghong Tang. Their work appears in journals such as Journal of Visual Communication and Image Representation, IEEE Transactions on Aerospace and Electronic Systems, Signal Processing and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.