Chen Gao

2.1k citations
68 papers · 1.1k indexed · 1 hit paper · h-index 17
Topics
Radiomics and Machine Learning in Medical Imaging (19 papers)Lung Cancer Diagnosis and Treatment (12 papers)Cancer-related molecular mechanisms research (6 papers)
Partner nations
ChinaUnited StatesSweden

In The Last Decade

Chen Gao

64 papers receiving 1.1k citations

Hit Papers

COVID-19 with spontaneous pneumomediastinum2020202620222024202050100150

Peers

Chen Gao
Comparison fields: 5 of 118
  • Pulmonary and Respiratory Medicine 393
  • Radiology, Nuclear Medicine and Imaging 342
  • Molecular Biology 222
  • Surgery 157
  • Cancer Research 144
Replace Bing Li with:
Bing Li China
Martin Tobi United States
Dan Song China
Florentino Hernándo Spain
Matthew P. Johnson United States
Eun Jung Lee South Korea
Janusz Siebert Poland
Ning‐Sheng Lai Taiwan
Hui‐Chun Chen Taiwan
Chen Gao relative to Bing Li China Bing Li's profile →
Citations per field
00.5×1.5×2.5×
Bing Li · 1×
Citations per year

Countries citing papers authored by Chen Gao

Since Specialization
Citations

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

Fields of papers citing papers by Chen Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Gao. A scholar is included among the top collaborators of Chen Gao 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 Chen Gao. Chen Gao 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
#WorkIndexed citations
1 1
2 0
3 4
4 2
5 2
6 1
7 16
8 1
9 6
10 11
11 33
12 11
13
COVID-19 with spontaneous pneumomediastinumbreakdown →
174
14 3
15 12
16 29
17 27
18 61
19 2
20
AN ANALYSIS OF FUZZY CONTROL SYSTEMS
1

About Chen Gao

Chen Gao is a scholar working on Radiology, Nuclear Medicine and Imaging, Biological Psychiatry and Health Informatics, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (19 papers), Lung Cancer Diagnosis and Treatment (12 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (342 citations), Pulmonary and Respiratory Medicine (393 citations) and Cancer Research (144 citations). Chen Gao has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Maosheng Xu, Changyu Zhou, Yuanliang Xie, Ning Kong, Peipei Pang, Ping Xiang, Chan Tian, Xiao‐Ping Dong, Jiali Zhou and Xiaobo Lai. Their work appears in journals such as Circulation Research, Scientific Reports and Cerebral Cortex.

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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