Trongtum Tongdee

645 total citations
34 papers, 474 citations indexed

About

Trongtum Tongdee is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Trongtum Tongdee has authored 34 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Trongtum Tongdee's work include Radiomics and Machine Learning in Medical Imaging (7 papers), COVID-19 diagnosis using AI (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). Trongtum Tongdee is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), COVID-19 diagnosis using AI (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). Trongtum Tongdee collaborates with scholars based in Thailand, Belgium and United States. Trongtum Tongdee's co-authors include Kriskrai Sitthiseripratip, Banchong Mahaisavariya, P Oris, Jos Vander Sloten, Erik L.J. Bohez, Kyongtae T. Bae, Jin Mo Goo, Charles F. Hildebolt, Pairash Saiviroonporn and Worapan Kusakunniran and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and IEEE Access.

In The Last Decade

Trongtum Tongdee

31 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Trongtum Tongdee Thailand 10 203 166 156 87 59 34 474
Andrew S. Wu United States 13 393 1.9× 233 1.4× 277 1.8× 40 0.5× 63 1.1× 20 771
Randheer Shailam United States 12 123 0.6× 222 1.3× 64 0.4× 137 1.6× 63 1.1× 27 456
Jürgen Fornaro Switzerland 8 300 1.5× 70 0.4× 47 0.3× 107 1.2× 146 2.5× 25 457
Charlotte Cash United Kingdom 12 205 1.0× 212 1.3× 73 0.5× 132 1.5× 77 1.3× 19 607
Jakob Neubauer Germany 12 147 0.7× 200 1.2× 81 0.5× 117 1.3× 35 0.6× 43 438
Patrick M. Vos Canada 12 212 1.0× 164 1.0× 189 1.2× 33 0.4× 44 0.7× 26 488
Giulio Argalia Italy 14 284 1.4× 85 0.5× 59 0.4× 44 0.5× 57 1.0× 43 486
Matthew H. Lee United States 12 110 0.5× 161 1.0× 106 0.7× 112 1.3× 42 0.7× 31 445
Ramesh Batra United States 11 154 0.8× 83 0.5× 62 0.4× 21 0.2× 38 0.6× 37 354
Mu Sook Lee South Korea 18 240 1.2× 113 0.7× 157 1.0× 67 0.8× 64 1.1× 46 665

Countries citing papers authored by Trongtum Tongdee

Since Specialization
Citations

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

Fields of papers citing papers by Trongtum Tongdee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trongtum Tongdee

This figure shows the co-authorship network connecting the top 25 collaborators of Trongtum Tongdee. A scholar is included among the top collaborators of Trongtum Tongdee 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 Trongtum Tongdee. Trongtum Tongdee 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.
Tongdee, Trongtum, et al.. (2024). Deep learning for tubes and lines detection in critical illness: Generalizability and comparison with residents. European Journal of Radiology Open. 13. 100593–100593. 2 indexed citations
2.
Tongdee, Trongtum, et al.. (2024). SICAR at RRG2024: GPU Poor’s Guide to Radiology Report Generation. 635–644. 1 indexed citations
3.
Kusakunniran, Worapan, et al.. (2023). Automatic measurement of cardiothoracic ratio in chest x-ray images with ProGAN-generated dataset. Applied Computing and Informatics. 2 indexed citations
4.
Kusakunniran, Worapan, et al.. (2023). Detecting COVID-19 in chest X-ray images. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 13(3). 3290–3290. 2 indexed citations
5.
Tongdee, Trongtum, et al.. (2022). Classification of chest radiography from general radiography using deep learning approach. ICT Express. 9(3). 313–319. 1 indexed citations
6.
Nilanont, Yongchai, et al.. (2022). Comparing performance measures and clinical outcomes between mobile stroke units and usual care in underserved areas. Neurological Sciences. 44(4). 1261–1271. 5 indexed citations
7.
Saiviroonporn, Pairash, et al.. (2022). A clinical evaluation study of cardiothoracic ratio measurement using artificial intelligence. BMC Medical Imaging. 22(1). 46–46. 6 indexed citations
8.
Kusakunniran, Worapan, et al.. (2021). COVID-19 detection and heatmap generation in chest x-ray images. Journal of Medical Imaging. 8(S1). 14001–14001. 28 indexed citations
9.
Saiviroonporn, Pairash, et al.. (2021). Cardiothoracic ratio measurement using artificial intelligence: observer and method validation studies. BMC Medical Imaging. 21(1). 95–95. 19 indexed citations
10.
Titapant, Vitaya, et al.. (2018). Retrospective analysis of 113 consecutive cases of placenta accreta spectrum from a single tertiary care center. The Journal of Maternal-Fetal & Neonatal Medicine. 33(19). 3324–3331. 7 indexed citations
11.
Chotivichit, Areesak, et al.. (2016). A Prospective Randomized Controlled Trial Comparing Posterolateral Lumbar Fusion With and Without Bone Marrow Concentrate Augmentation in Single-Level Lumbar Spondylolisthesis.. PubMed. 99(10). 1073–9. 3 indexed citations
12.
Sukpanichnant, Sanya, et al.. (2015). Effects of Power and Time on Ablation Size Produced by Radiofrequency Ablation: In vitro Study in Fresh Human Placenta. Fetal Diagnosis and Therapy. 38(1). 41–47. 6 indexed citations
13.
Tongdee, Trongtum, et al.. (2012). A study of wall thickness of gastric antrum: comparison among normal, benign and malignant gastric conditions on MDCT scan.. PubMed. 95(11). 1441–8. 9 indexed citations
14.
Tongdee, Trongtum, et al.. (2012). Radiofrequency ablation alone versus radiofrequency ablation combined with chemoembolization in unresectable hepatocellular carcinoma.. PubMed. 95(3). 430–6. 8 indexed citations
15.
Trakarnsanga, Atthaphorn, Tassanee Sriprayoon, Thawatchai Akaraviputh, & Trongtum Tongdee. (2010). Massive hemobilia from a ruptured hepatic artery aneurysm detected by endoscopic ultrasound (EUS) and successfully treated. Endoscopy. 42(S 02). E340–E341. 14 indexed citations
16.
Tongdee, Trongtum, et al.. (2010). 64-Slice MDCT Angiography of Upper Extremity in Assessment of Native Hemodialysis Access. Vascular and Endovascular Surgery. 45(1). 69–77. 9 indexed citations
17.
Tongdee, Trongtum, et al.. (2008). The new effective tool for data migration from old PACS (Rogan) to new PACS (Fuji Synapse) with integrated Thai patient names.. PubMed. 91(4). 520–6. 1 indexed citations
18.
Mahaisavariya, Banchong, Kriskrai Sitthiseripratip, P Oris, & Trongtum Tongdee. (2005). Rapid prototyping model for surgical planning of corrective osteotomy for cubitus varus: Report of two cases. Injury Extra. 37(5). 176–180. 26 indexed citations
20.
Mahaisavariya, Banchong, Kriskrai Sitthiseripratip, P Oris, et al.. (2004). Morphology of the radial head: A reverse engineering based evaluation using three-dimensional anatomical data of radial bone. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 218(1). 79–84. 23 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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