Yue Cong

445 total citations
22 papers, 292 citations indexed

About

Yue Cong is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Yue Cong has authored 22 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Surgery. Recurrent topics in Yue Cong's work include Lung Cancer Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Pleural and Pulmonary Diseases (4 papers). Yue Cong is often cited by papers focused on Lung Cancer Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Pleural and Pulmonary Diseases (4 papers). Yue Cong collaborates with scholars based in Japan, China and United States. Yue Cong's co-authors include Hiroaki Nomori, Hiroshi Sugimura, Atsushi Shiraishi, Panlong Wu, Zhimin Chen, Yuming Bo, Yoshiaki Kato, Yu Oyama, Youichi Machida and Michitaka Honda and has published in prestigious journals such as Scientific Reports, Journal of Thoracic and Cardiovascular Surgery and The Annals of Thoracic Surgery.

In The Last Decade

Yue Cong

19 papers receiving 285 citations

Peers

Yue Cong

PRM

RNMI

SURGE

ONCOL

Matteo Pepa Italy

Junichi Tsuchiya Japan

Baihua Zhang China

Timothy J. Cullip United States

Deborah Schofield United States

Sandeep Dalal United States

Steven Michiels Belgium

Heinrich Schulz Germany

Koichiro Kimura Japan

Matteo Pepa Italy

Yue Cong

109 ×0.6

PRM

155 ×2.2

RNMI

25 ×0.5

SURGE

43 ×1.4

40 ×1.4

ONCOL

Citations per year, relative to Yue Cong Yue Cong (= 1×) peers Matteo Pepa

Countries citing papers authored by Yue Cong

Since Specialization

Citations

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

Fields of papers citing papers by Yue Cong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Cong. A scholar is included among the top collaborators of Yue Cong 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 Yue Cong. Yue Cong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yu, Hao, et al.. (2025). Comparison of different competition indices in evaluating individual tree competition in farmer-managed plantations: a case study. Scientific Reports. 16(1). 1390–1390.

Cong, Yue, et al.. (2025). A novel meta-heuristic algorithm based on candidate cooperation and competition. Scientific Reports. 15(1). 24971–24971.

Shiroshita, Akihiro, Yue Cong, Keisuke Anan, et al.. (2023). Effectiveness of Immediate Video-Assisted Thoracoscopic Surgery for Empyema: A Multicentre, Retrospective Cohort Study. Respiration. 102(9). 821–832. 3 indexed citations

Honda, Michitaka, et al.. (2022). Relationship between physical activity and bone mineral density loss after gastrectomy in gastric cancer patients. Supportive Care in Cancer. 31(1). 19–19. 2 indexed citations

Nomori, Hiroaki, et al.. (2021). Lobectomy versus segmentectomy: a propensity score-matched comparison of postoperative complications, pulmonary function and prognosis. Interactive Cardiovascular and Thoracic Surgery. 34(1). 57–65. 16 indexed citations

Nomori, Hiroaki, Atsushi Shiraishi, Koichi Honma, et al.. (2021). Differences between lung adenocarcinoma and squamous cell carcinoma in histological distribution of residual tumor after induction chemoradiotherapy. Discover Oncology. 12(1). 36–36. 3 indexed citations

Hashimoto, Katsuhiko, et al.. (2021). Risk of postoperative urinary retention with early removal of the urinary catheter after surgery with epidural analgesia: A systematic review and meta-analysis. Annals of Cancer Research and Therapy. 29(2). 178–187. 3 indexed citations

Nomori, Hiroaki, et al.. (2020). Extent of Segmentectomy That Achieves Greater Lung Preservation Than Lobectomy. The Annals of Thoracic Surgery. 112(4). 1127–1133. 13 indexed citations

Bo, Yuming, et al.. (2019). Multi-target tracking method based on improved firefly algorithm optimized particle filter. Neurocomputing. 359. 438–448. 31 indexed citations

10.

Nomori, Hiroaki, et al.. (2017). Impact of induction chemoradiotherapy on pulmonary function after lobectomy for lung cancer. Journal of Thoracic and Cardiovascular Surgery. 155(5). 2129–2137.e1. 9 indexed citations

11.

Chen, Zhimin, et al.. (2017). Intelligent particle filter based on bat algorithm. Acta Physica Sinica. 66(5). 50502–50502. 17 indexed citations

12.

Sugimura, Hiroshi, et al.. (2017). A case of non-traumatic chylothorax treated by percutaneous transvenous embolization of the thoracic duct. The Journal of the Japanese Association for Chest Surgery. 31(1). 122–126. 2 indexed citations

13.

Nomori, Hiroaki, et al.. (2017). Differences in postoperative changes in pulmonary functions following segmentectomy compared with lobectomy. European Journal of Cardio-Thoracic Surgery. 53(3). 640–647. 71 indexed citations

14.

Nomori, Hiroaki, Yue Cong, & Hiroshi Sugimura. (2016). Limited thoracotomy for segmentectomy: a comparison of postoperative pain with thoracoscopic lobectomy. Surgery Today. 46(11). 1243–1248. 10 indexed citations

15.

Nomori, Hiroaki, Yue Cong, & Hiroshi Sugimura. (2016). Systemic and regional pulmonary function after segmentectomy. Journal of Thoracic and Cardiovascular Surgery. 152(3). 747–753. 35 indexed citations

16.

Nomori, Hiroaki, Yue Cong, & Hiroshi Sugimura. (2016). Preceding bronchial cutting for exposure of the pulmonary artery buried in scar tissue after chemoradiotherapy. General Thoracic and Cardiovascular Surgery. 65(1). 67–70. 1 indexed citations

17.

Nomori, Hiroaki, et al.. (2015). Diffusion-weighted magnetic resonance imaging in preoperative assessment of non–small cell lung cancer. Journal of Thoracic and Cardiovascular Surgery. 149(4). 991–996. 15 indexed citations

18.

Nomori, Hiroaki, Yue Cong, Hiroshi Sugimura, & Yoshiaki Kato. (2015). Comparing diffusion-weighted imaging and positron emission tomography for pulmonary nodules measuring from 1 to 3 cm in size. Surgery Today. 45(12). 1535–1541. 12 indexed citations

19.

Nomori, Hiroaki, Yue Cong, & Hiroshi Sugimura. (2015). Utility and pitfalls of sentinel node identification using indocyanine green during segmentectomy for cT1N0M0 non-small cell lung cancer. Surgery Today. 46(8). 908–913. 26 indexed citations

20.

Nomori, Hiroaki, Yue Cong, Hiroshi Sugimura, & Yoshiaki Kato. (2015). Diffusion-weighted imaging can correctly identify false-positive lymph nodes on positron emission tomography in non-small cell lung cancer. Surgery Today. 46(10). 1146–1151. 8 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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