Yue Cong

28 total papers · 440 total citations
20 papers, 288 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 20 papers receiving a total of 288 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, Zhimin Chen, Panlong Wu, Yuming Bo, Yoshiaki Kato, Yu Oyama, Youichi Machida and Michitaka Honda and has published in prestigious journals such as Journal of Thoracic and Cardiovascular Surgery, The Annals of Thoracic Surgery and Neurocomputing.

In The Last Decade

Yue Cong

19 papers receiving 281 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yue Cong	192	70	50	30	29	20	288
Matteo Pepa	107 0.6×	152 2.2×	25 0.5×	42 1.4×	38 1.3×	33	324
Kenta Ninomiya	112 0.6×	211 3.0×	22 0.4×	66 2.2×	30 1.0×	29	277
Lawrence T. Fitzgerald	145 0.8×	93 1.3×	74 1.5×	14 0.5×	20 0.7×	29	304
Xin Wang	148 0.8×	82 1.2×	54 1.1×	23 0.8×	50 1.7×	31	285
Michele Colombo	116 0.6×	18 0.3×	130 2.6×	7 0.2×	23 0.8×	16	287
Y. Rimmer	144 0.8×	110 1.6×	29 0.6×	13 0.4×	10 0.3×	23	234
Vikas Singh	149 0.8×	17 0.2×	116 2.3×	43 1.4×	201 6.9×	14	330
Sandeep Dalal	123 0.6×	208 3.0×	37 0.7×	12 0.4×	26 0.9×	23	312
Lars Aurdal	38 0.2×	39 0.6×	46 0.9×	16 0.5×	17 0.6×	23	331
Donald M. Roback	128 0.7×	107 1.5×	18 0.4×	22 0.7×	7 0.2×	20	269

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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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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