Lai Kang
Impact in
-
- Advanced Vision and Imaging
- Optical measurement and interference techniques
- Advanced Image and Video Retrieval Techniques
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
-
- Advanced Vision and Imaging 10
- Advanced Image and Video Retrieval Techniques 6
- Optical measurement and interference techniques 4
-
- 2D Materials and Applications 12
- MXene and MAX Phase Materials 5
- Co-authors
- Wei‐Bing Zhang (6 shared papers)Lingda Wu (11 shared papers)Yee‐Hong Yang (7 shared papers)Yingmei Wei (13 shared papers)Jiayu Dai (11 shared papers)Bing Yang (2 shared papers)Bi‐Yu Tang (1 shared paper)Fanxin Zeng (1 shared paper)
- Journals
- Pattern Recognition (3 papers)Physical Chemistry Chemical Physics (2 papers)IEEE Access (2 papers)Journal of Physics D Applied Physics (2 papers)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Lai Kang
39 papers receiving 562 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 204
- Geology 54
- Materials Chemistry 235
- Aerospace Engineering 103
- Computer Graphics and Computer-Aided Design 11
Countries citing papers authored by Lai Kang
This map shows the geographic impact of Lai Kang'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 Lai Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lai Kang more than expected).
Fields of papers citing papers by Lai Kang
This network shows the impact of papers produced by Lai Kang. 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 Lai Kang. The network helps show where Lai Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lai Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 61 | |
| 2 | 2012 | 57 | |
| 3 | 2016 | 42 | |
| 4 | 2023 | 42 | |
| 5 | 2018 | 41 | |
| 6 | 2013 | 36 | |
| 7 | 2017 | 34 | |
| 8 | 2022 | 32 | |
| 9 | 2019 | 26 | |
| 10 | 2019 | 23 | |
| 11 | 2022 | 19 | |
| 12 | 2017 | 18 | |
| 13 | 2014 | 18 | |
| 14 | 2013 | 11 | |
| 15 | 2013 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2010 | 10 | |
| 18 | 2020 | 9 | |
| 19 | 2023 | 9 | |
| 20 | 2018 | 8 |
About Lai Kang
Lai Kang is a scholar working on Computer Vision and Pattern Recognition, Materials Chemistry, Electrical and Electronic Engineering, Aerospace Engineering and Control and Systems Engineering, having authored 44 papers that have together received 576 indexed citations. Recurring topics across this work include 2D Materials and Applications (12 papers), Advanced Vision and Imaging (10 papers), Perovskite Materials and Applications (7 papers), Robotics and Sensor-Based Localization (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), MXene and MAX Phase Materials (5 papers), Optical measurement and interference techniques (4 papers) and Computer Graphics and Visualization Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (204 citations), Geology (54 citations), Materials Chemistry (235 citations), Aerospace Engineering (103 citations) and Computer Graphics and Computer-Aided Design (11 citations). Lai Kang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Wei‐Bing Zhang, Lingda Wu, Yee‐Hong Yang, Yingmei Wei, Jiayu Dai, Bing Yang, Bi‐Yu Tang, Fanxin Zeng, Fa Zhou and Songyang Lao. Their work appears in journals such as Pattern Recognition, Physical Chemistry Chemical Physics, IEEE Access, Journal of Physics D Applied Physics and Engineering Applications of Artificial Intelligence.
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.