Chidchanok Lursinsap
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Co-authors
- Krung SinapiromsaranChumphol BunkhumpornpatSuphakant PhimoltaresSuwimon KeeratipibulKhamron SunatSaichon JaiyenSirapat ChiewchanwattanaYong Poovorawan
- Topics
- Neural Networks and Applications (37 papers)Face and Expression Recognition (22 papers)Data Stream Mining Techniques (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
- Partner nations
- ThailandUnited StatesJapan
In The Last Decade
Chidchanok Lursinsap
135 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 147
- Artificial Intelligence 766
- Electrical and Electronic Engineering 317
- Computer Vision and Pattern Recognition 273
- Information Systems 175
- Signal Processing 158
Countries citing papers authored by Chidchanok Lursinsap
This map shows the geographic impact of Chidchanok Lursinsap'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 Chidchanok Lursinsap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chidchanok Lursinsap more than expected).
Fields of papers citing papers by Chidchanok Lursinsap
This network shows the impact of papers produced by Chidchanok Lursinsap. 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 Chidchanok Lursinsap. The network helps show where Chidchanok Lursinsap may publish in the future.
Co-authorship network of co-authors of Chidchanok Lursinsap
This figure shows the co-authorship network connecting the top 25 collaborators of Chidchanok Lursinsap. A scholar is included among the top collaborators of Chidchanok Lursinsap 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 Chidchanok Lursinsap. Chidchanok Lursinsap 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 | 0 | |
| 3 | 9 | |
| 4 | 20 | |
| 5 | 5 | |
| 6 | 42 | |
| 7 | 10 | |
| 8 | A modified error function for imbalanced dataset classification problem | 1 |
| 9 | 1 | |
| 10 | 29 | |
| 11 | 2 | |
| 12 | 139 | |
| 13 | 12 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | Modeling the soybean growth in different amount of nitrogen, phosphorus and potassium using neural network | 2 |
| 18 | Modeling Leaf Shapes Using L-systems and Genetic Algorithms | 4 |
| 19 | 3 | |
| 20 | 6 |
About Chidchanok Lursinsap
Chidchanok Lursinsap is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 149 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neural Networks and Applications (37 papers), Face and Expression Recognition (22 papers) and Data Stream Mining Techniques (11 papers). The work is most often cited by research in Artificial Intelligence (766 citations), Software (61 citations) and Signal Processing (158 citations). Chidchanok Lursinsap has collaborated with scholars based in Thailand, United States and Japan. Frequent co-authors include Krung Sinapiromsaran, Chumphol Bunkhumpornpat, Suphakant Phimoltares, Suwimon Keeratipibul, Khamron Sunat, Saichon Jaiyen, Sirapat Chiewchanwattana, Yong Poovorawan, Kosin Chamnongthai and Chee‐Hung Henry Chu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.
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.