Jiajun Deng

1.7k citations
58 papers · 979 indexed · h-index 18
Topics
Lung Cancer Diagnosis and Treatment (39 papers)Radiomics and Machine Learning in Medical Imaging (21 papers)Lung Cancer Treatments and Mutations (16 papers)
Partner nations
ChinaUnited StatesItaly

In The Last Decade

Jiajun Deng

55 papers receiving 970 citations

Peers

Jiajun Deng
Comparison fields: 5 of 83
  • Pulmonary and Respiratory Medicine 566
  • Radiology, Nuclear Medicine and Imaging 536
  • Oncology 192
  • Artificial Intelligence 132
  • Cancer Research 117
Replace Pradnya D. Patil with:
Pradnya D. Patil United States
Kun Young Lim South Korea
Sadanori Takeo Japan
Germán Corredor United States
Kyle J. Lafata United States
Mehdi Alilou United States
Yahong Luo China
Olya Stringfield United States
Mohammadhadi Khorrami United States
Chuanli Chen China
Jiajun Deng relative to Pradnya D. Patil United States Pradnya D. Patil's profile →
Citations per field
00.5×1.5×1.8×
Pradnya D. Patil · 1×
Citations per year

Countries citing papers authored by Jiajun Deng

Since Specialization
Citations

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

Fields of papers citing papers by Jiajun Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiajun Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Jiajun Deng. A scholar is included among the top collaborators of Jiajun Deng 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 Jiajun Deng. Jiajun Deng 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 2
2 0
3 0
4 1
5 3
6 1
7 8
8 3
9 2
10 27
11 15
12 3
13 24
14 20
15 64
16 3
17 76
18 22
19 13
20 8

About Jiajun Deng

Jiajun Deng is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Otorhinolaryngology, having authored 58 papers that have together received 979 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (39 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Lung Cancer Treatments and Mutations (16 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (536 citations), Health Informatics (29 citations) and Pulmonary and Respiratory Medicine (566 citations). Jiajun Deng has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Chang Chen, Yunlang She, Dong Xie, Tingting Wang, Yifan Zhong, Junqi Wu, Yijiu Ren, Gening Jiang, Lei Zhang and Xiwen Sun. Their work appears in journals such as Nature Communications, Radiology and Chemical Engineering Journal.

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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