Te‐Chun Hsieh

1.4k total citations
110 papers, 1.1k citations indexed

About

Te‐Chun Hsieh is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Te‐Chun Hsieh has authored 110 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Radiology, Nuclear Medicine and Imaging, 35 papers in Pulmonary and Respiratory Medicine and 33 papers in Surgery. Recurrent topics in Te‐Chun Hsieh's work include Radiomics and Machine Learning in Medical Imaging (22 papers), Medical Imaging Techniques and Applications (21 papers) and Head and Neck Cancer Studies (13 papers). Te‐Chun Hsieh is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (22 papers), Medical Imaging Techniques and Applications (21 papers) and Head and Neck Cancer Studies (13 papers). Te‐Chun Hsieh collaborates with scholars based in Taiwan, China and United States. Te‐Chun Hsieh's co-authors include Chia‐Hung Kao, Kuo‐Yang Yen, Shang-Wen Chen, Ji‐An Liang, Yu‐Chin Wu, Shung‐Shung Sun, Wei-Chih Shen, Shih-Neng Yang, Da‐Chuan Cheng and Ying‐Chun Lin and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and CHEST Journal.

In The Last Decade

Te‐Chun Hsieh

105 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Te‐Chun Hsieh Taiwan 20 628 331 253 229 149 110 1.1k
Kuo‐Yang Yen Taiwan 22 539 0.9× 378 1.1× 377 1.5× 405 1.8× 444 3.0× 71 1.3k
Barry McCook United States 18 573 0.9× 360 1.1× 188 0.7× 330 1.4× 137 0.9× 34 1.2k
Ivan Platzek Germany 22 599 1.0× 512 1.5× 126 0.5× 235 1.0× 95 0.6× 81 1.3k
Francesco Fiz Italy 19 583 0.9× 435 1.3× 354 1.4× 292 1.3× 50 0.3× 95 1.2k
Joshua D. Lawson United States 26 698 1.1× 931 2.8× 244 1.0× 458 2.0× 297 2.0× 70 1.9k
Bradley R. Pieters Netherlands 22 518 0.8× 908 2.7× 212 0.8× 354 1.5× 43 0.3× 97 1.7k
Stefania Volpe Italy 15 288 0.5× 286 0.9× 186 0.7× 150 0.7× 262 1.8× 57 765
R. de Crevoisier France 23 734 1.2× 783 2.4× 293 1.2× 626 2.7× 586 3.9× 91 1.9k
Kunihiko Fukuda Japan 23 709 1.1× 275 0.8× 118 0.5× 389 1.7× 54 0.4× 98 1.6k
Valerio Nardone Italy 20 628 1.0× 465 1.4× 405 1.6× 237 1.0× 62 0.4× 105 1.3k

Countries citing papers authored by Te‐Chun Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Te‐Chun Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Te‐Chun Hsieh. 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 Te‐Chun Hsieh. The network helps show where Te‐Chun Hsieh may publish in the future.

Co-authorship network of co-authors of Te‐Chun Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Te‐Chun Hsieh. A scholar is included among the top collaborators of Te‐Chun Hsieh 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 Te‐Chun Hsieh. Te‐Chun Hsieh 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.
Wu, Kuo-Chen, Shang-Wen Chen, Ruey‐Feng Chang, et al.. (2024). Early prediction of radiotherapy outcomes in pharyngeal cancer using deep learning on baseline [18F]Fluorodeoxyglucose positron emission Tomography/Computed tomography. European Journal of Radiology. 181. 111811–111811. 1 indexed citations
2.
Hsieh, Te‐Chun, et al.. (2023). Exploring the successful experience of time-restricted eating in overweight adults: A qualitative study. Appetite. 188. 106979–106979. 5 indexed citations
3.
Wu, Yu‐Chin, et al.. (2023). Bivalent mRNA COVID-19 Vaccine–Related Pericarditis on 18F-FDG PET/CT. Clinical Nuclear Medicine. 48(8). e396–e397.
4.
5.
Sun, Shung‐Shung, et al.. (2019). Brain Lymphoma on 99mTc-TRODAT-1 SPECT. Clinical Nuclear Medicine. 44(10). e590–e592. 2 indexed citations
6.
Lin, Ying‐Chun, Wei-Chih Shen, Te‐Chun Hsieh, et al.. (2018). Associations of Tumor PD-1 Ligands, Immunohistochemical Studies, and Textural Features in 18F-FDG PET in Squamous Cell Carcinoma of the Head and Neck. Scientific Reports. 8(1). 105–105. 49 indexed citations
7.
Chen, Shang-Wen, Wei-Chih Shen, Te‐Chun Hsieh, et al.. (2018). Textural features of cervical cancers on FDG-PET/CT associate with survival and local relapse in patients treated with definitive chemoradiotherapy. Scientific Reports. 8(1). 11859–11859. 31 indexed citations
8.
Chen, Shang-Wen, William Tzu-Liang Chen, Te‐Chun Hsieh, et al.. (2014). Correlation Between PET/CT Parameters and KRAS Expression in Colorectal Cancer. Clinical Nuclear Medicine. 39(8). 685–689. 40 indexed citations
9.
Chen, Shang-Wen, et al.. (2013). Correlations Between 18F-FDG PET/CT Parameters and Pathological Findings in Patients With Rectal Cancer. Clinical Nuclear Medicine. 39(1). e40–e45. 6 indexed citations
10.
Wang, Yu-Chun, Te‐Chun Hsieh, Francesco Bianchi-Demicheli, et al.. (2012). The clinical application of 4D 18F-FDG PET/CT on gross tumor volume delineation for radiotherapy planning in esophageal squamous cell cancer. Journal of Radiation Research. 53(4). 594–600. 22 indexed citations
11.
Kao, Chia‐Hung, Shih‐Chieh Lin, Te‐Chun Hsieh, et al.. (2012). Use of pretreatment metabolic tumour volumes to predict the outcome of pharyngeal cancer treated by definitive radiotherapy. European Journal of Nuclear Medicine and Molecular Imaging. 39(8). 1297–1305. 50 indexed citations
12.
Hsieh, Te‐Chun, et al.. (2012). Rare Breast and Adrenal Gland Metastases From Small-Cell Neuroendocrine Carcinoma of Uterine Cervix. Clinical Nuclear Medicine. 37(3). 280–283. 9 indexed citations
13.
Hsieh, Te‐Chun, et al.. (2012). FDG PET/CT of a Late-term Pregnant Woman With Breast Cancer. Clinical Nuclear Medicine. 37(5). 489–491. 20 indexed citations
14.
Chen, Huiyi, et al.. (2011). Huge Tumor Thrombus of Chondrosarcoma on FDG PET/CT. Clinical Nuclear Medicine. 36(10). e142–e145. 3 indexed citations
15.
Yang, Chun‐Pai, Wei-Shih Huang, Chun-Yi Lin, et al.. (2007). Diminution of basal ganglia dopaminergic function may play an important role in the generation of akinetic mutism in a patient with anterior cerebral arterial infarct. Clinical Neurology and Neurosurgery. 109(7). 602–606. 11 indexed citations
16.
Hsieh, Te‐Chun, Chia‐Hung Kao, Kuo‐Yang Yen, & Shung‐Shung Sun. (2007). Osteomyelitis-Mimicking Primary Bone Lymphoma at Hip Prosthetic Site. Clinical Nuclear Medicine. 32(7). 543–544. 13 indexed citations
17.
Lin, Chun-Yi, et al.. (2006). Positive Correlation Between Standardized Uptake Values of FDG Uptake in the Stomach and the Value of the C-13 Urea Breath Test. Clinical Nuclear Medicine. 31(12). 792–794. 9 indexed citations
18.
Yen, Kuo‐Yang, et al.. (2005). Fusion Images of Tl-201 SPECT and FDG PET With CT in Detection of Cervical Carcinoma With Bladder Invasion. Clinical Nuclear Medicine. 30(4). 278–280. 2 indexed citations
19.
20.
Lynn, Tsong‐Chou, et al.. (1983). [Serological and biochemical studies in late stage of nasopharyngeal carcinoma].. PubMed. 16(2). 41–8. 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.

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