Tingfeng Chen

751 citations
28 papers · 518 · h-index 9

Impact in

Papers in

Tingfeng Chen

27 papers receiving 511 citations

Peers

Tingfeng Chen
Comparison fields: 5 of 101
  • Radiation 77
  • Radiology, Nuclear Medicine and Imaging 158
  • Otorhinolaryngology 28
  • Health Informatics 8
  • Computer Vision and Pattern Recognition 74
Replace J. Pearlman with:
J. Pearlman United States
Xiaozhi Zhang China
Kathleen M. Curran Ireland
Ramesh Paudyal United States
Carl Fisher Canada
Jinyi Lang China
Jinghua Tang China
Gregory J. Czarnota Canada
Albert Güveniş Türkiye
Delphine Jarnet France
Tingfeng Chen relative to J. Pearlman United States J. Pearlman's profile →
Citations per field
00.5×10×17×
J. Pearlman · 1×
Citations per year

Countries citing papers authored by Tingfeng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tingfeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tingfeng Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tingfeng Chen Line = papers co-authored together Tingfeng Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019106
2 2021102
3 202091
4 200652
5 202240
6 202224
7 201523
8 201915
9 201713
10 20236
11 20196
12 20226
13 20245
14 20184
15 20143
16 20123
17 20173
18 20203
19
[Clinico-pathologic and prognostic studies on lung adenocarcinoma patients under 40 years of age].
20032
20 20212

About Tingfeng Chen

Tingfeng Chen is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Radiation and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 518 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (4 papers), Lung Cancer Treatments and Mutations (4 papers), Nanoplatforms for cancer theranostics (3 papers), Gastric Cancer Management and Outcomes (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Animal Genetics and Reproduction (3 papers), Advanced Measurement and Detection Methods (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Radiation (77 citations), Radiology, Nuclear Medicine and Imaging (158 citations), Otorhinolaryngology (28 citations), Health Informatics (8 citations) and Computer Vision and Pattern Recognition (74 citations). Tingfeng Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xuming Chen, Yong Liu, Shengyu Yao, Xiaohui Xie, Zhipeng Lu, Mingwu Shen, Xiangyang Shi, Junjun Li, Yu Fan and Yuesheng Ning. Their work appears in journals such as International Journal of Molecular Sciences, International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology, Technology in Cancer Research & Treatment and Advanced Functional Materials.

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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