Feng Feng

4.9k total citations
222 papers, 3.6k citations indexed

About

Feng Feng is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Feng Feng has authored 222 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Radiology, Nuclear Medicine and Imaging, 52 papers in Neurology and 44 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Feng Feng's work include Radiomics and Machine Learning in Medical Imaging (32 papers), Cerebrovascular and Carotid Artery Diseases (28 papers) and Pituitary Gland Disorders and Treatments (23 papers). Feng Feng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (32 papers), Cerebrovascular and Carotid Artery Diseases (28 papers) and Pituitary Gland Disorders and Treatments (23 papers). Feng Feng collaborates with scholars based in China, United States and Hong Kong. Feng Feng's co-authors include Zhengyu Jin, Mingli Li, Hui You, Shan Gao, Bo Hou, Weihai Xu, Bernd Fritzsch, Veronica Matei, Sarah Pauley and Jun Ni and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Feng Feng

204 papers receiving 3.5k citations

Peers

Feng Feng
Comparison fields: 5 of 134
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Pulmonary and Respiratory Medicine 984
  • Neurology 660
  • Epidemiology 580
  • Molecular Biology 492
Replace Masayuki Sasaki with:
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Citations per field, relative to Feng Feng
Feng Feng · 1×
Citations per year, relative to Feng Feng
Feng Feng · 1×

Countries citing papers authored by Feng Feng

Since Specialization
Citations

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

Fields of papers citing papers by Feng Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Feng. A scholar is included among the top collaborators of Feng Feng 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 Feng Feng. Feng Feng 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
# Work Indexed citations
1 2
2 2
3 1
4 0
5 12
6 1
7 11
8 10
9 0
10 4
11 2
12 3
13 0
14
From a Simple Sinusitis to Cavernous Sinus Thrombosis
0
15 1
16 4
17
Spontaneous Resolution of a Fetal Dural Sinus Thrombosis: One Case Report and Review of the Literatures
0
18 44
19
[In vivo tracking of bone marrow mesenchymal stem cells labeled with superparamagnetic iron oxide after cerebral ischemia in rats by magnetic resonance imaging].
3
20
A randomized double-blind trial of haloperidol and risperidone for behavioral and psychological symptoms of dementia
2

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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