Heng‐Sheng Chao

696 total citations
35 papers, 449 citations indexed

About

Heng‐Sheng Chao is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Heng‐Sheng Chao has authored 35 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 13 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Oncology. Recurrent topics in Heng‐Sheng Chao's work include Radiomics and Machine Learning in Medical Imaging (12 papers), Lung Cancer Diagnosis and Treatment (11 papers) and Lung Cancer Treatments and Mutations (10 papers). Heng‐Sheng Chao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Lung Cancer Diagnosis and Treatment (11 papers) and Lung Cancer Treatments and Mutations (10 papers). Heng‐Sheng Chao collaborates with scholars based in Taiwan, United States and China. Heng‐Sheng Chao's co-authors include Yuh‐Min Chen, Hwa‐Yen Chiu, Shi-Chuan Chang, Tsu‐Hui Shiao, Chao‐Hua Chiu, Yu‐Te Wu, Tingwei Wang, Kelsey C. Coy, Chia‐Feng Lu and Chi‐Lu Chiang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Medicine.

In The Last Decade

Heng‐Sheng Chao

31 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heng‐Sheng Chao Taiwan 13 217 165 105 50 49 35 449
Michael Kosmin United Kingdom 8 88 0.4× 155 0.9× 86 0.8× 17 0.3× 11 0.2× 26 465
Pooja Pradhan United States 11 214 1.0× 134 0.8× 44 0.4× 22 0.4× 11 0.2× 21 615
Xing Xue China 10 116 0.5× 216 1.3× 60 0.6× 17 0.3× 5 0.1× 13 421
M. Oellers Netherlands 14 460 2.1× 568 3.4× 202 1.9× 16 0.3× 14 0.3× 23 957
Ana Wilson United Kingdom 13 303 1.4× 104 0.6× 424 4.0× 42 0.8× 104 2.1× 43 716
Matthias Häfner Germany 13 209 1.0× 225 1.4× 146 1.4× 5 0.1× 17 0.3× 28 691
Andrew D. Prather United States 7 185 0.9× 180 1.1× 198 1.9× 72 1.4× 19 0.4× 13 480
Hanjie Shen United States 10 99 0.5× 49 0.3× 133 1.3× 9 0.2× 24 0.5× 29 389
Roberta Eufrasia Ledda Italy 11 157 0.7× 195 1.2× 59 0.6× 44 0.9× 8 0.2× 51 433
Todd Atwood United States 16 228 1.1× 347 2.1× 64 0.6× 18 0.4× 9 0.2× 41 633

Countries citing papers authored by Heng‐Sheng Chao

Since Specialization
Citations

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

Fields of papers citing papers by Heng‐Sheng Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heng‐Sheng Chao. 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 Heng‐Sheng Chao. The network helps show where Heng‐Sheng Chao may publish in the future.

Co-authorship network of co-authors of Heng‐Sheng Chao

This figure shows the co-authorship network connecting the top 25 collaborators of Heng‐Sheng Chao. A scholar is included among the top collaborators of Heng‐Sheng Chao 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 Heng‐Sheng Chao. Heng‐Sheng Chao 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
2.
Chiu, Hwa‐Yen, Tingwei Wang, Heng‐Sheng Chao, et al.. (2024). Progress in Serial Imaging for Prognostic Stratification of Lung Cancer Patients Receiving Immunotherapy: A Systematic Review and Meta-Analysis. Cancers. 16(3). 615–615. 3 indexed citations
3.
Wang, Tingwei, et al.. (2024). Standalone deep learning versus experts for diagnosis lung cancer on chest computed tomography: a systematic review. European Radiology. 34(11). 7397–7407. 6 indexed citations
4.
Chiang, Chi‐Lu, Yung‐Hung Luo, Heng‐Sheng Chao, et al.. (2024). Clinical utility of immunohistochemical subtyping in patients with small cell lung cancer. Lung Cancer. 188. 107473–107473. 6 indexed citations
5.
Tseng, Yen-Han, Chih‐Feng Chian, Chi‐Lu Chiang, et al.. (2024). Immune killer cells treatment for previously treated stage IV NSCLC patients. Scientific Reports. 14(1). 19374–19374.
6.
Chen, Yuh‐Min, Yu‐Te Wu, Heng‐Sheng Chao, et al.. (2024). Personalized prediction of immunotherapy response in lung cancer patients using advanced radiomics and deep learning. Cancer Imaging. 24(1). 129–129. 9 indexed citations
8.
Wu, Yuan‐Hung, Heng‐Sheng Chao, Chi‐Lu Chiang, et al.. (2023). Personalized cancer avatars for patients with thymic malignancies: A pilot study with circulating tumor cell‐derived organoids. Thoracic Cancer. 14(25). 2591–2600. 4 indexed citations
9.
Lu, Chia‐Feng, Heng‐Sheng Chao, Hwa‐Yen Chiu, et al.. (2023). A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer. Cancer Imaging. 23(1). 9–9. 17 indexed citations
10.
Wang, Tingwei, Heng‐Sheng Chao, Hwa‐Yen Chiu, et al.. (2023). Radiomics of metastatic brain tumor as a predictive image biomarker of progression-free survival in patients with non-small-cell lung cancer with brain metastasis receiving tyrosine kinase inhibitors. Translational Oncology. 39. 101826–101826. 15 indexed citations
11.
Wang, Tingwei, Hwa‐Yen Chiu, Heng‐Sheng Chao, et al.. (2023). Application of Radiomics in Prognosing Lung Cancer Treated with Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors: A Systematic Review and Meta-Analysis. Cancers. 15(14). 3542–3542. 6 indexed citations
12.
Chao, Heng‐Sheng, Tsu‐Hui Shiao, Chi‐Lu Chiang, et al.. (2021). Comparison of the outcome between immunotherapy alone or in combination with chemotherapy in EGFR-mutant non-small cell lung cancer. Scientific Reports. 11(1). 16 indexed citations
13.
Tseng, Yen-Han, Heng‐Sheng Chao, Chao‐Hua Chiu, et al.. (2020). Multidisciplinary team discussion results in survival benefit for patients with stage III non-small-cell lung cancer. PLoS ONE. 15(10). e0236503–e0236503. 31 indexed citations
14.
Chao, Heng‐Sheng, et al.. (2017). Effects of rapid ascent on the heart rate variability of individuals with and without acute mountain sickness. European Journal of Applied Physiology. 117(4). 757–766. 6 indexed citations
15.
Chao, Heng‐Sheng, et al.. (2017). The impact of open to collaborative care model in cardiovascular surgical unit. Journal of the Chinese Medical Association. 81(1). 64–69. 5 indexed citations
16.
Chao, Heng‐Sheng, et al.. (2015). Clinical Usefulness of HRCT in Assessing the Severity of Pneumocystis jirovecii Pneumonia. Medicine. 94(16). e768–e768. 14 indexed citations
17.
Chao, Heng‐Sheng, et al.. (2014). Impact of rapid ascent to high altitude on sleep. Sleep And Breathing. 19(3). 819–826. 38 indexed citations
18.
Chao, Heng‐Sheng, et al.. (2012). Statin-induced lung injury: diagnostic clue and outcome. Postgraduate Medical Journal. 89(1047). 14–19. 11 indexed citations
19.
Chao, Heng‐Sheng, et al.. (2009). Bone Scan Flare Phenomenon in Non–Small-Cell Lung Cancer Patients Treated With Gefitinib. Clinical Nuclear Medicine. 34(6). 346–349. 25 indexed citations
20.
Chao, Heng‐Sheng, et al.. (2004). Recurrence of Pulmonary Arteriovenous Malformations in a Female with Hereditary Hemorrhagic Telangiectasia. The American Journal of the Medical Sciences. 327(5). 294–298. 6 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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