Yangming Li
- Control and Systems Engineering top 1%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering top 10%
- Aerospace Engineering top 5%
- Co-authors
- Shuai LiBlake HannafordEdwin OlsonLibo QinWanxiang CheMuhammad Usman RafiqueZhu‐Hong YouHaoyang Wen
- Topics
- Robotics and Sensor-Based Localization (18 papers)Topic Modeling (15 papers)Natural Language Processing Techniques (12 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionArtificial Intelligence
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yangming Li
98 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 137
- Control and Systems Engineering 860
- Artificial Intelligence 822
- Computer Vision and Pattern Recognition 548
- Biomedical Engineering 357
- Aerospace Engineering 308
Countries citing papers authored by Yangming Li
This map shows the geographic impact of Yangming Li'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 Yangming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yangming Li more than expected).
Fields of papers citing papers by Yangming Li
This network shows the impact of papers produced by Yangming Li. 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 Yangming Li. The network helps show where Yangming Li may publish in the future.
Co-authorship network of co-authors of Yangming Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yangming Li. A scholar is included among the top collaborators of Yangming Li 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 Yangming Li. Yangming Li 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 | 3 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 17 | |
| 7 | 3 | |
| 8 | 12 | |
| 9 | 114 | |
| 10 | 9 | |
| 11 | 13 | |
| 12 | 2 | |
| 13 | 16 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 13 | |
| 18 | 36 | |
| 19 | A General-purpose Method to Extract Features from LIDAR Data | 4 |
| 20 | On WSN-aided simultaneous localization and mapping based on particle filtering | 0 |
About Yangming Li
Yangming Li is a scholar working on Computer Vision and Pattern Recognition, Otorhinolaryngology and Aerospace Engineering, having authored 108 papers that have together received 2.6k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (18 papers), Topic Modeling (15 papers) and Natural Language Processing Techniques (12 papers). The work is most often cited by research in Control and Systems Engineering (860 citations), Computer Vision and Pattern Recognition (548 citations) and Artificial Intelligence (822 citations). Yangming Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shuai Li, Blake Hannaford, Edwin Olson, Libo Qin, Wanxiang Che, Muhammad Usman Rafique, Zhu‐Hong You, Haoyang Wen, Long Jin and Zheng Wang. Their work appears in journals such as Scientific Reports, The Journal of Organic Chemistry and Sensors.
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.