Qingchang Tan
- Mechanical Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Topics
- Optical measurement and interference techniques (25 papers)Tribology and Lubrication Engineering (13 papers)Image and Object Detection Techniques (13 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Journals
- PLoS ONEIEEE AccessSensors
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Qingchang Tan
63 papers receiving 666 citations
Peers
Comparison fields: 5 of 65
- Mechanical Engineering 343
- Computer Vision and Pattern Recognition 313
- Electrical and Electronic Engineering 155
- Control and Systems Engineering 119
- Industrial and Manufacturing Engineering 93
Countries citing papers authored by Qingchang Tan
This map shows the geographic impact of Qingchang Tan'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 Qingchang Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingchang Tan more than expected).
Fields of papers citing papers by Qingchang Tan
This network shows the impact of papers produced by Qingchang Tan. 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 Qingchang Tan. The network helps show where Qingchang Tan may publish in the future.
Co-authorship network of co-authors of Qingchang Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Qingchang Tan. A scholar is included among the top collaborators of Qingchang Tan 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 Qingchang Tan. Qingchang Tan 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 | 1 | |
| 3 | 10 | |
| 4 | 20 | |
| 5 | 6 | |
| 6 | 17 | |
| 7 | 29 | |
| 8 | 25 | |
| 9 | 32 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | Study of Edge Fitting Model of Point Spread Function Based on Gauss | 1 |
| 14 | 23 | |
| 15 | Stability Analysis of Subpixel Edge Location Algorithm | 2 |
| 16 | 4 | |
| 17 | 14 | |
| 18 | 47 | |
| 19 | 8 | |
| 20 | 5 |
About Qingchang Tan
Qingchang Tan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Mechanical Engineering, having authored 65 papers that have together received 695 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (25 papers), Tribology and Lubrication Engineering (13 papers) and Image and Object Detection Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (313 citations), Media Technology (85 citations) and Industrial and Manufacturing Engineering (93 citations). Qingchang Tan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yong-Chen Pei, Siyuan Liu, Wei Li, Xiaoyong Liu, Бо Лю, Chunjing Li, Zhaojun Yang, Guannan Li, Hongwei Zhao and Guangwei Meng. Their work appears in journals such as PLoS ONE, IEEE Access 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.