Jung Hee Hong

1.1k total citations
35 papers, 712 citations indexed

About

Jung Hee Hong is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Jung Hee Hong has authored 35 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 9 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Jung Hee Hong's work include Lung Cancer Diagnosis and Treatment (9 papers), COVID-19 diagnosis using AI (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Jung Hee Hong is often cited by papers focused on Lung Cancer Diagnosis and Treatment (9 papers), COVID-19 diagnosis using AI (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Jung Hee Hong collaborates with scholars based in South Korea, Ethiopia and Japan. Jung Hee Hong's co-authors include Jin Mo Goo, Ju Gang Nam, In Seon Lee, Han Yong Choi, Kwang Sung Ahn, Seong Soo Jeon, Eun-Kyung Bae, Eui Jin Hwang, Chang Min Park and Soon Ho Yoon and has published in prestigious journals such as PLoS ONE, Radiology and Kidney International.

In The Last Decade

Jung Hee Hong

30 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jung Hee Hong South Korea 14 293 240 121 118 89 35 712
Ying Dai China 18 72 0.2× 122 0.5× 96 0.8× 69 0.6× 95 1.1× 58 865
Mihai Socaciu Romania 14 92 0.3× 71 0.3× 117 1.0× 70 0.6× 5 0.1× 57 601
Xinxin Liu China 16 78 0.3× 152 0.6× 117 1.0× 37 0.3× 8 0.1× 48 620
Tae Won Choi South Korea 13 107 0.4× 80 0.3× 202 1.7× 41 0.3× 9 0.1× 27 590
Xianlong Zhou China 16 53 0.2× 146 0.6× 159 1.3× 49 0.4× 3 0.0× 41 691
M. Salvadori Italy 13 124 0.4× 77 0.3× 118 1.0× 72 0.6× 7 0.1× 30 534
Hiroyuki Hayashi Japan 17 58 0.2× 70 0.3× 64 0.5× 37 0.3× 28 0.3× 60 720
Rajesh Sehgal United States 10 27 0.1× 91 0.4× 78 0.6× 21 0.2× 19 0.2× 39 451
Liying Xu China 10 64 0.2× 70 0.3× 48 0.4× 29 0.2× 6 0.1× 22 330
Changyi Li China 12 25 0.1× 145 0.6× 238 2.0× 9 0.1× 32 0.4× 22 615

Countries citing papers authored by Jung Hee Hong

Since Specialization
Citations

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

Fields of papers citing papers by Jung Hee Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung Hee Hong. 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 Jung Hee Hong. The network helps show where Jung Hee Hong may publish in the future.

Co-authorship network of co-authors of Jung Hee Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Jung Hee Hong. A scholar is included among the top collaborators of Jung Hee Hong 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 Jung Hee Hong. Jung Hee Hong 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
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Ahn, Chulkyun, Jung Hee Hong, Dasom Kim, et al.. (2023). 75% radiation dose reduction using deep learning reconstruction on low-dose chest CT. BMC Medical Imaging. 23(1). 121–121. 9 indexed citations
5.
Choi, Hyewon, Xiaolong Qi, Soon Ho Yoon, et al.. (2020). Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation. Radiology Cardiothoracic Imaging. 2(2). e200107–e200107. 44 indexed citations
6.
Lee, Jong Hyuk, Woo Hyeon Lim, Jung Hee Hong, et al.. (2020). Growth and Clinical Impact of 6-mm or Larger Subsolid Nodules after 5 Years of Stability at Chest CT. Radiology. 295(2). 448–455. 29 indexed citations
7.
Yoon, Soon Ho, Sang Min Lee, Chul Hwan Park, et al.. (2020). 2020 Clinical Practice Guideline for Percutaneous Transthoracic Needle Biopsy of Pulmonary Lesions: A Consensus Statement and Recommendations of the Korean Society of Thoracic Radiology. Korean Journal of Radiology. 22(2). 263–263. 41 indexed citations
8.
Hwang, Eui Jin, Jung Hee Hong, Kyung Hee Lee, et al.. (2020). Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study. European Radiology. 30(7). 3660–3671. 34 indexed citations
9.
Wong, Evelyn, et al.. (2020). 1468P Characteristics and prognosis of gastric cancer (GC) in adolescents and young adults (AYA) in Singapore. Annals of Oncology. 31. S918–S918. 1 indexed citations
10.
Hong, Jung Hee, Soon Ho Yoon, Jin Mo Goo, Jae‐Joon Yim, & Yoon Kyung Jeon. (2020). Clustered micronodules as predominant manifestation on CT: A sign of active but indolently evolving pulmonary tuberculosis. PLoS ONE. 15(4). e0231537–e0231537. 6 indexed citations
11.
Nam, Ju Gang, Minchul Kim, Jongchan Park, et al.. (2020). Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs. European Respiratory Journal. 57(5). 2003061–2003061. 73 indexed citations
12.
Suh, Young Joo, Hyun-Ju Lee, Se Woo Kim, et al.. (2019). A Novel Algorithm to Differentiate Between Multiple Primary Lung Cancers and Intrapulmonary Metastasis in Multiple Lung Cancers With Multiple Pulmonary Sites of Involvement. Journal of Thoracic Oncology. 15(2). 203–215. 42 indexed citations
13.
Hong, Jung Hee, See Hyung Kim, & Young Hwan Kim. (2016). Spontaneous Pseudoaneurysm of the Uterine Artery during Pregnancy Treated by Direct Thrombin Injection: A Case Report. Journal of the Korean Society of Radiology. 74(4). 263–263. 2 indexed citations
14.
Hong, Jung Hee, Hyuk Won Chang, Ji Min Kim, et al.. (2015). Internal carotid artery agenesis associated with a rare collateral pathway: supraclinoid–supraclinoid anastomosis. A case report. Surgical and Radiologic Anatomy. 38(2). 261–263. 10 indexed citations
15.
Hong, Jung Hee & In Seon Lee. (2008). Effects of Artemisia capillaris ethyl acetate fraction on oxidative stress and antioxidant enzyme in high-fat diet induced obese mice. Chemico-Biological Interactions. 179(2-3). 88–93. 49 indexed citations
16.
Hong, Jung Hee, et al.. (2008). Effect of Cold Acclimation on Antioxidant Status in Cold Acclimated Skaters. Journal of PHYSIOLOGICAL ANTHROPOLOGY. 27(5). 255–262. 12 indexed citations
17.
Hong, Jung Hee, Kwang Sung Ahn, Eun-Kyung Bae, Seong Soo Jeon, & Han Yong Choi. (2006). The effects of curcumin on the invasiveness of prostate cancer in vitro and in vivo. Prostate Cancer and Prostatic Diseases. 9(2). 147–152. 125 indexed citations
18.
Lee, Jong‐Un, et al.. (2001). Increased expression of atrial natriuretic peptide in the kidney of rats with bilateral ureteral obstruction. Kidney International. 59(4). 1274–1282. 19 indexed citations
19.
Hong, Jung Hee, et al.. (2000). Diminished vascular guanylyl cyclase activity in deoxycorticosteroneacetate-salt hypertension. Korean Journal of Physiology and Pharmacology. 4(5). 379–383. 1 indexed citations
20.
Yeh, Francis C., et al.. (1994). Genetic diversity and multilocus associations in Cunninghamia lanceolata (Lamb.) Hook from The People's Republic of China. Theoretical and Applied Genetics. 88-88(3-4). 465–471. 13 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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