Dongchul Cha

728 total citations
19 papers, 448 citations indexed

About

Dongchul Cha is a scholar working on Otorhinolaryngology, Surgery and Cognitive Neuroscience. According to data from OpenAlex, Dongchul Cha has authored 19 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Otorhinolaryngology, 4 papers in Surgery and 4 papers in Cognitive Neuroscience. Recurrent topics in Dongchul Cha's work include Noise Effects and Management (4 papers), Hearing Loss and Rehabilitation (4 papers) and Head and Neck Cancer Studies (3 papers). Dongchul Cha is often cited by papers focused on Noise Effects and Management (4 papers), Hearing Loss and Rehabilitation (4 papers) and Head and Neck Cancer Studies (3 papers). Dongchul Cha collaborates with scholars based in South Korea, China and United States. Dongchul Cha's co-authors include Jae Young Choi, Chongwon Pae, Hae‐Jeong Park, Jing Wu, L. Chen, Youfei Guan, Xiaoyan Zhang, Xueliang Fan, Dongming Su and Feng Zheng and has published in prestigious journals such as Scientific Reports, Kidney International and Annals of Surgical Oncology.

In The Last Decade

Dongchul Cha

18 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongchul Cha South Korea 11 127 112 93 55 50 19 448
Yu‐Hsuan Li Taiwan 11 64 0.5× 69 0.6× 114 1.2× 25 0.5× 8 0.2× 53 394
Myung‐Chul Lee South Korea 15 47 0.4× 261 2.3× 36 0.4× 22 0.4× 57 1.1× 57 601
Hongwei Liu China 13 19 0.1× 125 1.1× 47 0.5× 7 0.1× 8 0.2× 30 434
Rong Shi China 11 7 0.1× 132 1.2× 191 2.1× 13 0.2× 26 0.5× 34 672
Mohammed Mamdani United States 12 19 0.1× 135 1.2× 170 1.8× 3 0.1× 8 0.2× 17 551
Ying Zou China 13 7 0.1× 43 0.4× 39 0.4× 8 0.1× 34 0.7× 39 419
R. Alex Harbison United States 8 55 0.4× 71 0.6× 163 1.8× 3 0.1× 7 0.1× 32 386
Omid Shafaat United States 11 8 0.1× 44 0.4× 31 0.3× 21 0.4× 29 0.6× 36 394
J. J. Ross United Kingdom 11 6 0.0× 98 0.9× 60 0.6× 8 0.1× 29 0.6× 41 393
Peiyi Xie China 11 5 0.0× 54 0.5× 72 0.8× 7 0.1× 57 1.1× 27 535

Countries citing papers authored by Dongchul Cha

Since Specialization
Citations

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

Fields of papers citing papers by Dongchul Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongchul Cha

This figure shows the co-authorship network connecting the top 25 collaborators of Dongchul Cha. A scholar is included among the top collaborators of Dongchul Cha 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 Dongchul Cha. Dongchul Cha 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.
Seo, Young Joon, Tae Hoon Kong, Michelle J. Suh, et al.. (2024). Trends in Distributions of Hearing Threshold Levels by Ages: A Comparison of the ISO 7029 and Newly Available Country-Specific Data. Journal of Audiology & Otology. 28(1). 1–9. 6 indexed citations
2.
Kong, Tae Hoon, Michelle J. Suh, Hyo‐Jeong Lee, et al.. (2024). Understanding Standard Procedure in Auditory Brainstem Response: Importance of Normative Data. Journal of Audiology & Otology. 28(4). 243–251. 2 indexed citations
3.
4.
Seo, Young Joon, Tae Hoon Kong, Michelle J. Suh, et al.. (2024). Improving Accuracy and Reliability of Hearing Tests: Measurement Standards for Audiometric Devices. Journal of Audiology & Otology. 28(3). 167–175. 2 indexed citations
5.
Park, Hae‐Jeong, Sung Huhn Kim, Jae Young Choi, & Dongchul Cha. (2023). Human–machine cooperation meta-model for clinical diagnosis by adaptation to human expert’s diagnostic characteristics. Scientific Reports. 13(1). 1 indexed citations
6.
Suh, Michelle J., Tae Hoon Kong, Hyo‐Jeong Lee, et al.. (2023). Improving Accuracy and Reliability of Hearing Tests: An Exploration of International Standards. Journal of Audiology & Otology. 27(4). 169–180. 13 indexed citations
7.
Cha, Dongchul. (2023). Digital healthcare: the new frontier of holistic and efficient care. Clinical and Experimental Emergency Medicine. 10(2). 235–237. 1 indexed citations
8.
Cha, Dongchul, et al.. (2021). Implementing Vertical Federated Learning Using Autoencoders: Practical Application, Generalizability, and Utility Study. JMIR Medical Informatics. 9(6). e26598–e26598. 33 indexed citations
9.
Cha, Dongchul, et al.. (2021). Local Differential Privacy in the Medical Domain to Protect Sensitive Information: Algorithm Development and Real-World Validation. JMIR Medical Informatics. 9(11). e26914–e26914. 4 indexed citations
10.
11.
Cha, Dongchul, Seung Ho Shin, Seong Hoon Bae, et al.. (2020). Feasibility of Asynchronous and Automated Telemedicine in Otolaryngology: Prospective Cross-Sectional Study. JMIR Medical Informatics. 8(10). e23680–e23680. 5 indexed citations
12.
Cha, Dongchul, Seung Ho Shin, Sung Huhn Kim, Jae Young Choi, & In Seok Moon. (2020). Machine learning approach for prediction of hearing preservation in vestibular schwannoma surgery. Scientific Reports. 10(1). 7136–7136. 13 indexed citations
13.
Cha, Dongchul, et al.. (2019). Automated diagnosis of ear disease using ensemble deep learning with a big otoendoscopy image database. EBioMedicine. 45. 606–614. 95 indexed citations
14.
Moon, In Seok, et al.. (2018). The Feasibility of a Modified Exclusive Endoscopic Transcanal Transpromontorial Approach for Vestibular Schwannomas. Journal of Neurological Surgery Part B Skull Base. 80(1). 82–87. 16 indexed citations
15.
Park, Young Min, Dongchul Cha, Yoon Woo Koh, Eun Chang Choi, & Se‐Heon Kim. (2018). Transoral Robotic Surgery With Transoral Retropharyngeal Lymph Node Dissection in Patients With Tonsillar Cancer: Anatomical Points, Surgical Techniques, and Clinical Usefulness. Journal of Craniofacial Surgery. 30(1). 145–148. 14 indexed citations
16.
Park, Yae Won, et al.. (2017). The long-term oncological and functional outcomes of transoral robotic surgery in patients with hypopharyngeal cancer. Oral Oncology. 71. 138–143. 29 indexed citations
17.
Park, Young Min, Dongchul Cha, Dahee Kim, et al.. (2017). A New Clinical Trial of Neoadjuvant Chemotherapy Combined With Transoral Robotic Surgery and Customized Adjuvant Therapy for Patients With T3 or T4 Oropharyngeal Cancer. Annals of Surgical Oncology. 24(11). 3424–3429. 17 indexed citations
18.
Kim, Dahee, Yong‐ho Lee, Dongchul Cha, & Shin Hyung Kim. (2017). Transoral robotic surgery in Eagles syndrome: our experience on four patients. Acta Otorhinolaryngologica Italica. 37(6). 454–457. 12 indexed citations
19.
Zhang, Xiaoyan, Jing Wu, L. Chen, et al.. (2006). PPARα agonist fenofibrate improves diabetic nephropathy in db/db mice. Kidney International. 69(9). 1511–1517. 175 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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