Santhad Chuwongin

1.1k total citations
40 papers, 732 citations indexed

About

Santhad Chuwongin is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Santhad Chuwongin has authored 40 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 13 papers in Electrical and Electronic Engineering and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Santhad Chuwongin's work include Photonic and Optical Devices (12 papers), Photonic Crystals and Applications (10 papers) and Digital Imaging for Blood Diseases (9 papers). Santhad Chuwongin is often cited by papers focused on Photonic and Optical Devices (12 papers), Photonic Crystals and Applications (10 papers) and Digital Imaging for Blood Diseases (9 papers). Santhad Chuwongin collaborates with scholars based in Thailand, United States and China. Santhad Chuwongin's co-authors include Weidong Zhou, Zhenqiang Ma, Hongjun Yang, Deyin Zhao, Jung‐Hun Seo, Yichen Shuai, Weiquan Yang, Arvinder Singh Chadha, Siridech Boonsang and Victor Liu and has published in prestigious journals such as Applied Physics Letters, Nature Photonics and Scientific Reports.

In The Last Decade

Santhad Chuwongin

33 papers receiving 704 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Santhad Chuwongin Thailand 14 422 343 264 104 68 40 732
Zachary S. Ballard United States 15 211 0.5× 121 0.4× 474 1.8× 32 0.3× 48 0.7× 22 947
David N. Breslauer United States 10 204 0.5× 66 0.2× 951 3.6× 57 0.5× 45 0.7× 12 1.3k
Huijie Huang China 12 189 0.4× 108 0.3× 381 1.4× 30 0.3× 100 1.5× 107 697
Robert Leitel Germany 12 317 0.8× 108 0.3× 414 1.6× 234 2.3× 95 1.4× 38 741
Yuanshen Huang China 14 328 0.8× 198 0.6× 257 1.0× 240 2.3× 20 0.3× 73 680
Puspa Devi Pukhrambam India 18 770 1.8× 367 1.1× 698 2.6× 47 0.5× 6 0.1× 52 1.1k
Chi‐Hung Lee Taiwan 15 155 0.4× 77 0.2× 139 0.5× 52 0.5× 19 0.3× 62 556
Victor Leyva United States 15 675 1.6× 745 2.2× 89 0.3× 20 0.2× 18 0.3× 38 1.1k
Onur Tokel Türkiye 11 240 0.6× 226 0.7× 691 2.6× 32 0.3× 23 0.3× 32 1.1k
Cyrus Shafai Canada 21 952 2.3× 350 1.0× 374 1.4× 52 0.5× 8 0.1× 130 1.4k

Countries citing papers authored by Santhad Chuwongin

Since Specialization
Citations

This map shows the geographic impact of Santhad Chuwongin'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 Santhad Chuwongin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Santhad Chuwongin more than expected).

Fields of papers citing papers by Santhad Chuwongin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Santhad Chuwongin. 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 Santhad Chuwongin. The network helps show where Santhad Chuwongin may publish in the future.

Co-authorship network of co-authors of Santhad Chuwongin

This figure shows the co-authorship network connecting the top 25 collaborators of Santhad Chuwongin. A scholar is included among the top collaborators of Santhad Chuwongin 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 Santhad Chuwongin. Santhad Chuwongin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kittichai, Veerayuth, et al.. (2025). A deep contrastive learning-based image retrieval system for automatic detection of infectious cattle diseases. Journal Of Big Data. 12(1). 3 indexed citations
2.
Boonsang, Siridech, et al.. (2025). Deep Learning Based Visual Servo for Autonomous Aircraft Refueling. Engineering Reports. 7(3).
3.
Kusolsuk, Teera, Siridech Boonsang, Veerayuth Kittichai, et al.. (2025). Performance validation of deep-learning-based approach in stool examination. Parasites & Vectors. 18(1). 322–322.
4.
Chuwongin, Santhad, et al.. (2024). Automatic classification and grading of canine tracheal collapse on thoracic radiographs by using deep learning. Veterinary Radiology & Ultrasound. 65(6). 679–688. 1 indexed citations
5.
Kittichai, Veerayuth, et al.. (2024). Enhance fashion classification of mosquito vector species via self-supervised vision transformer. Scientific Reports. 14(1). 31517–31517.
6.
Kittichai, Veerayuth, et al.. (2024). Enhancing mosquito classification through self-supervised learning. Scientific Reports. 14(1). 27123–27123.
7.
8.
Kittichai, Veerayuth, et al.. (2024). The detection and classification of acute myeloid leukaemia blood cell images based on different YOLO approaches. Bulletin of Electrical Engineering and Informatics. 13(2). 1147–1158. 1 indexed citations
9.
Kittichai, Veerayuth, et al.. (2024). A novel approach for identification of zoonotic trypanosome utilizing deep metric learning and vector database-based image retrieval system. Heliyon. 10(9). e30643–e30643. 4 indexed citations
10.
Kittichai, Veerayuth, et al.. (2023). Automatic identification of medically important mosquitoes using embedded learning approach-based image-retrieval system. Scientific Reports. 13(1). 10609–10609. 14 indexed citations
11.
Kittichai, Veerayuth, et al.. (2023). Superior Auto-Identification of Trypanosome Parasites by Using a Hybrid Deep-Learning Model. Journal of Visualized Experiments. 5 indexed citations
12.
Noiphung, Julaluk, Tasanee Sakuldamrongpanich, Veerayuth Kittichai, et al.. (2022). Simultaneous phenotyping of five Rh red blood cell antigens on a paper-based analytical device combined with deep learning for rapid and accurate interpretation. Analytica Chimica Acta. 1207. 339807–339807. 17 indexed citations
13.
14.
Kittichai, Veerayuth, et al.. (2021). Classification for avian malaria parasite Plasmodium gallinaceum blood stages by using deep convolutional neural networks. Scientific Reports. 11(1). 16919–16919. 23 indexed citations
15.
Kittichai, Veerayuth, Theerakamol Pengsakul, Yudthana Samung, et al.. (2021). Deep learning approaches for challenging species and gender identification of mosquito vectors. Scientific Reports. 11(1). 4838–4838. 58 indexed citations
16.
Chadha, Arvinder Singh, Deyin Zhao, Santhad Chuwongin, Zhenqiang Ma, & Weidong Zhou. (2013). Polarization- and angle-dependent characteristics in two dimensional photonic crystal membrane reflectors. Applied Physics Letters. 103(21). 15 indexed citations
17.
Li, Rui, Shuling Wang, Santhad Chuwongin, & Weidong Zhou. (2013). Nanoscale Silver-Assisted Wet Etching of Crystalline Silicon for Anti-Reflection Surface Textures. Journal of Nanoscience and Nanotechnology. 13(1). 493–497. 5 indexed citations
18.
Zhou, Weidong, Zhenqiang Ma, Santhad Chuwongin, et al.. (2012). Semiconductor nanomembranes for integrated silicon photonics and flexible Photonics. Optical and Quantum Electronics. 44(12-13). 605–611. 14 indexed citations
19.
Zhou, Weidong, Zhenqiang Ma, Weiquan Yang, et al.. (2011). Semiconductor nanomembranes for integrated and flexible photonics. 1–2. 3 indexed citations
20.
Yang, Weiquan, Hongjun Yang, Santhad Chuwongin, et al.. (2011). Frame-assisted membrane transfer for large area optoelectronic devices on flexible substrates. 113–114. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zachary S. Ballard Breakdown of academic impact, for papers by David N. Breslauer Breakdown of academic impact, for papers by Huijie Huang Breakdown of academic impact, for papers by Robert Leitel Breakdown of academic impact, for papers by Yuanshen Huang Breakdown of academic impact, for papers by Puspa Devi Pukhrambam Breakdown of academic impact, for papers by Chi‐Hung Lee Breakdown of academic impact, for papers by Victor Leyva Breakdown of academic impact, for papers by Onur Tokel Breakdown of academic impact, for papers by Cyrus Shafai
Rankless by CCL
2026