Patcharapon Jantana

519 total citations
7 papers, 299 citations indexed

About

Patcharapon Jantana is a scholar working on Artificial Intelligence, Surgery and Otorhinolaryngology. According to data from OpenAlex, Patcharapon Jantana has authored 7 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Surgery and 3 papers in Otorhinolaryngology. Recurrent topics in Patcharapon Jantana's work include AI in cancer detection (3 papers), Medical Imaging and Analysis (3 papers) and Facial Trauma and Fracture Management (3 papers). Patcharapon Jantana is often cited by papers focused on AI in cancer detection (3 papers), Medical Imaging and Analysis (3 papers) and Facial Trauma and Fracture Management (3 papers). Patcharapon Jantana collaborates with scholars based in Thailand. Patcharapon Jantana's co-authors include Kritsasith Warin, Wasit Limprasert, Siriwan Suebnukarn and Suthin Jinaporntham and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Oral and Maxillofacial Surgery.

In The Last Decade

Patcharapon Jantana

7 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patcharapon Jantana Thailand	5	135	125	111	78	71	7	299
Kritsasith Warin Thailand	7	157 1.2×	139 1.1×	128 1.2×	89 1.1×	74 1.0×	19	351
Suthin Jinaporntham Thailand	5	127 0.9×	75 0.6×	87 0.8×	83 1.1×	71 1.0×	7	234
Trupti Kolur India	5	135 1.0×	46 0.4×	96 0.9×	128 1.6×	84 1.2×	8	292
Yaser Ali Alhazmi Saudi Arabia	8	69 0.5×	64 0.5×	81 0.7×	61 0.8×	56 0.8×	20	258
Ross D. Uthoff United States	6	143 1.1×	44 0.4×	112 1.0×	105 1.3×	82 1.2×	9	299
Jyotsna Rimal Nepal	5	133 1.0×	52 0.4×	80 0.7×	89 1.1×	87 1.2×	10	269
Senthilmani Rajendran Malaysia	5	132 1.0×	47 0.4×	76 0.7×	80 1.0×	81 1.1×	9	237
Shihao Li China	8	59 0.4×	224 1.8×	80 0.7×	31 0.4×	27 0.4×	13	326
Tae-Hoon Yong South Korea	4	79 0.6×	299 2.4×	58 0.5×	12 0.2×	83 1.2×	6	336
Se-Ryong Kang South Korea	9	34 0.3×	234 1.9×	79 0.7×	19 0.2×	22 0.3×	19	302

Countries citing papers authored by Patcharapon Jantana

Since Specialization

Citations

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

Fields of papers citing papers by Patcharapon Jantana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patcharapon Jantana

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

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

2.

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

3.

Limprasert, Wasit, et al.. (2022). Anomaly Detection on Real-time Security Log using Stream Processing. 1–6. 1 indexed citations

4.

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

5.

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

6.

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

7.

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.

Explore authors with similar magnitude of impact