Chunmian Lin
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 10%
- Aerospace Engineering
- Civil and Structural Engineering
- Artificial Intelligence
- Co-authors
- Jianshan ZhouDaxin TianXuting DuanDongpu CaoDezong ZhaoLin LiKelvin C. P. WangWenting Luo
- Topics
- Advanced Neural Network Applications (9 papers)Robotics and Sensor-Based Localization (5 papers)Advanced Optical Sensing Technologies (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- ChinaUnited KingdomCanada
In The Last Decade
Chunmian Lin
14 papers receiving 331 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 201
- Automotive Engineering 65
- Aerospace Engineering 55
- Civil and Structural Engineering 45
- Artificial Intelligence 45
Countries citing papers authored by Chunmian Lin
This map shows the geographic impact of Chunmian Lin'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 Chunmian Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunmian Lin more than expected).
Fields of papers citing papers by Chunmian Lin
This network shows the impact of papers produced by Chunmian Lin. 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 Chunmian Lin. The network helps show where Chunmian Lin may publish in the future.
Co-authorship network of co-authors of Chunmian Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Chunmian Lin. A scholar is included among the top collaborators of Chunmian Lin 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 Chunmian Lin. Chunmian Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 16 | |
| 4 | 4 | |
| 5 | 22 | |
| 6 | 10 | |
| 7 | 46 | |
| 8 | 30 | |
| 9 | 24 | |
| 10 | 10 | |
| 11 | 51 | |
| 12 | 6 | |
| 13 | 27 | |
| 14 | 89 |
About Chunmian Lin
Chunmian Lin is a scholar working on Instrumentation, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 14 papers that have together received 344 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Robotics and Sensor-Based Localization (5 papers) and Advanced Optical Sensing Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (201 citations), Automotive Engineering (65 citations) and Instrumentation (14 citations). Chunmian Lin has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Jianshan Zhou, Daxin Tian, Xuting Duan, Dongpu Cao, Dezong Zhao, Lin Li, Kelvin C. P. Wang, Wenting Luo, Yue Cao and Ping Lang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Neural Networks and Learning Systems.
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.