Yonggen Ling
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Control and Systems Engineering
- Media Technology top 10%
- Computational Mechanics
- Co-authors
- Shaojie ShenShenghao ZhangZejian YuanWanchao ChiChong ZhangKing Ngi NganChenguang YangWei Liu
- Topics
- Advanced Vision and Imaging (13 papers)Robotics and Sensor-Based Localization (9 papers)Optical measurement and interference techniques (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Intelligent Transportation SystemsNeural Networks
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Yonggen Ling
28 papers receiving 363 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 308
- Aerospace Engineering 127
- Control and Systems Engineering 53
- Media Technology 41
- Computational Mechanics 36
Countries citing papers authored by Yonggen Ling
This map shows the geographic impact of Yonggen Ling'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 Yonggen Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonggen Ling more than expected).
Fields of papers citing papers by Yonggen Ling
This network shows the impact of papers produced by Yonggen Ling. 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 Yonggen Ling. The network helps show where Yonggen Ling may publish in the future.
Co-authorship network of co-authors of Yonggen Ling
This figure shows the co-authorship network connecting the top 25 collaborators of Yonggen Ling. A scholar is included among the top collaborators of Yonggen Ling 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 Yonggen Ling. Yonggen Ling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 72 | |
| 15 | 9 | |
| 16 | 6 | |
| 17 | 20 | |
| 18 | 25 | |
| 19 | 4 | |
| 20 | 6 |
About Yonggen Ling
Yonggen Ling is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Aerospace Engineering, having authored 30 papers that have together received 372 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (13 papers), Robotics and Sensor-Based Localization (9 papers) and Optical measurement and interference techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (308 citations), Geology (32 citations) and Computer Graphics and Computer-Aided Design (18 citations). Yonggen Ling has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Shaojie Shen, Shenghao Zhang, Zejian Yuan, Wanchao Chi, Chong Zhang, King Ngi Ngan, Chenguang Yang, Wei Liu, Linchao Bao and Yibing Song. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Intelligent Transportation Systems and Neural Networks.
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.