Kritsasith Warin

656 total citations
19 papers, 351 citations indexed

About

Kritsasith Warin is a scholar working on Otorhinolaryngology, Artificial Intelligence and Oral Surgery. According to data from OpenAlex, Kritsasith Warin has authored 19 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Otorhinolaryngology, 7 papers in Artificial Intelligence and 6 papers in Oral Surgery. Recurrent topics in Kritsasith Warin's work include Head and Neck Cancer Studies (7 papers), AI in cancer detection (6 papers) and Dental Radiography and Imaging (6 papers). Kritsasith Warin is often cited by papers focused on Head and Neck Cancer Studies (7 papers), AI in cancer detection (6 papers) and Dental Radiography and Imaging (6 papers). Kritsasith Warin collaborates with scholars based in Thailand and United Kingdom. Kritsasith Warin's co-authors include Siriwan Suebnukarn, Patcharapon Jantana, Wasit Limprasert, Suthin Jinaporntham, Chatchai Mingmalairak and Thanaruk Theeramunkong and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

Kritsasith Warin

17 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kritsasith Warin Thailand 7 157 139 128 89 74 19 351
Patcharapon Jantana Thailand 5 135 0.9× 125 0.9× 111 0.9× 78 0.9× 71 1.0× 7 299
Wasit Limprasert Thailand 7 142 0.9× 125 0.9× 112 0.9× 79 0.9× 71 1.0× 18 348
Betül İlhan Türkiye 9 74 0.5× 132 0.9× 87 0.7× 79 0.9× 93 1.3× 17 330
Keerthi Gurushanth India 9 150 1.0× 98 0.7× 135 1.1× 165 1.9× 164 2.2× 29 486
Sanjana Patrick India 9 148 0.9× 75 0.5× 138 1.1× 178 2.0× 176 2.4× 14 492
Suthin Jinaporntham Thailand 5 127 0.8× 75 0.5× 87 0.7× 83 0.9× 71 1.0× 7 234
Trupti Kolur India 5 135 0.9× 46 0.3× 96 0.8× 128 1.4× 84 1.1× 8 292
Yaser Ali Alhazmi Saudi Arabia 8 69 0.4× 64 0.5× 81 0.6× 61 0.7× 56 0.8× 20 258
Ross D. Uthoff United States 6 143 0.9× 44 0.3× 112 0.9× 105 1.2× 82 1.1× 9 299
Andreas Maier Germany 2 119 0.8× 38 0.3× 140 1.1× 64 0.7× 44 0.6× 3 269

Countries citing papers authored by Kritsasith Warin

Since Specialization
Citations

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

Fields of papers citing papers by Kritsasith Warin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kritsasith Warin

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

All Works

19 of 19 papers shown
1.
2.
Warin, Kritsasith, et al.. (2024). Temporomandibular Joint Disorders Multi-Class Classification Using Deep Learning. Studies in health technology and informatics. 310. 1495–1496. 2 indexed citations
3.
Warin, Kritsasith, et al.. (2024). Deep Learning for Predicting the Difficulty Level of Removing the Impacted Mandibular Third Molar. International Dental Journal. 75(1). 144–150. 5 indexed citations
4.
Warin, Kritsasith, et al.. (2024). Survival estimation of oral cancer using fuzzy deep learning. BMC Oral Health. 24(1). 519–519. 1 indexed citations
5.
Warin, Kritsasith, et al.. (2024). Deep Learning for Midfacial Fracture Detection in CT Images. Studies in health technology and informatics. 310. 1497–1498. 3 indexed citations
6.
Warin, Kritsasith, et al.. (2024). Prediction of Medication-Related Osteonecrosis of the Jaw in Patients Receiving Antiresorptive Therapy Using Machine Learning Models. Journal of Oral and Maxillofacial Surgery. 83(3). 353–365.
7.
Warin, Kritsasith, et al.. (2024). Deep convolutional neural network for automatic segmentation and classification of jaw tumors in contrast-enhanced computed tomography images. International Journal of Oral and Maxillofacial Surgery. 54(4). 374–382. 2 indexed citations
8.
Warin, Kritsasith & Siriwan Suebnukarn. (2024). Deep learning in oral cancer- a systematic review. BMC Oral Health. 24(1). 212–212. 20 indexed citations
9.
Warin, Kritsasith, et al.. (2024). The Discovery of Oral Cancer Prognostic Factor Ranking Using Association Rule Mining. European Journal of Dentistry. 18(3). 907–917. 1 indexed citations
10.
Warin, Kritsasith, et al.. (2024). Precise Identification of Oral Cancer Lesions Using Artificial Intelligence. Studies in health technology and informatics. 316. 1096–1097. 2 indexed citations
11.
Warin, Kritsasith, et al.. (2023). Maxillofacial fracture detection and classification in computed tomography images using convolutional neural network-based models. Scientific Reports. 13(1). 3434–3434. 32 indexed citations
12.
Warin, Kritsasith, et al.. (2023). Oral Tissue Detection in Photographic Images Using Deep Learning Technology. 1–7. 1 indexed citations
13.
Warin, Kritsasith, et al.. (2022). AI-based analysis of oral lesions using novel deep convolutional neural networks for early detection of oral cancer. PLoS ONE. 17(8). e0273508–e0273508. 76 indexed citations
14.
Warin, Kritsasith, et al.. (2022). Assessment of deep convolutional neural network models for mandibular fracture detection in panoramic radiographs. International Journal of Oral and Maxillofacial Surgery. 51(11). 1488–1494. 42 indexed citations
15.
Warin, Kritsasith, et al.. (2022). Forecasting COVID-19 cases using time series modeling and association rule mining. BMC Medical Research Methodology. 22(1). 281–281. 16 indexed citations
16.
Warin, Kritsasith, Wasit Limprasert, Siriwan Suebnukarn, Suthin Jinaporntham, & Patcharapon Jantana. (2021). Performance of deep convolutional neural network for classification and detection of oral potentially malignant disorders in photographic images. International Journal of Oral and Maxillofacial Surgery. 51(5). 699–704. 56 indexed citations
17.
Warin, Kritsasith, et al.. (2021). Analysis of Characteristics and Clinical Outcomes for Crisis Management during the Four Waves of the COVID-19 Pandemic. International Journal of Environmental Research and Public Health. 18(23). 12633–12633. 2 indexed citations
18.
Warin, Kritsasith, et al.. (2021). A Large Oral Melanoma: A Case Report of a Rare but Aggressive Malignancy. European Journal of Dentistry. 15(4). 812–816. 1 indexed citations
19.
Warin, Kritsasith, Wasit Limprasert, Siriwan Suebnukarn, Suthin Jinaporntham, & Patcharapon Jantana. (2021). Automatic classification and detection of oral cancer in photographic images using deep learning algorithms. Journal of Oral Pathology and Medicine. 50(9). 911–918. 89 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.

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2026