Jia Wu

5.9k citations
98 papers · 2.4k indexed · 1 hit paper · h-index 28
Topics
Radiomics and Machine Learning in Medical Imaging (30 papers)Lung Cancer Diagnosis and Treatment (13 papers)Lung Cancer Treatments and Mutations (13 papers)

In The Last Decade

Jia Wu

87 papers receiving 2.4k citations

Hit Papers

AI in drug discovery and its clinical relevance202320262024202520234080120

Peers

Jia Wu
Comparison fields: 5 of 148
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Pulmonary and Respiratory Medicine 626
  • Artificial Intelligence 437
  • Oncology 404
  • Molecular Biology 349
Replace Hamid Abdollahi with:
Hamid Abdollahi Iran
Jianhua Zhou China
Sebastian Foersch Germany
Chengdi Wang China
Theodore Sakellaropoulos United States
Chung‐Ming Chen Taiwan
Ryuji Hamamoto Japan
Natalie Shih United States
Paolo Ocampo United States
Nicolas Coudray United States
Jia Wu relative to Hamid Abdollahi Iran Hamid Abdollahi's profile →
Citations per field
00.5×3.5×
Hamid Abdollahi · 1×
Citations per year

Countries citing papers authored by Jia Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Wu. A scholar is included among the top collaborators of Jia Wu 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 Jia Wu. Jia Wu 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 0
2 1
3 12
4 5
5 9
6 11
7 14
8 65
9 4
10
AI in drug discovery and its clinical relevancebreakdown →
125
11 2
12 4
13 32
14 73
15 35
16 10
17 12
18 20
19 77
20 33

About Jia Wu

Jia Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Biophysics, having authored 98 papers that have together received 2.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (30 papers), Lung Cancer Diagnosis and Treatment (13 papers) and Lung Cancer Treatments and Mutations (13 papers). The work is most often cited by research in Health Informatics (85 citations), Radiology, Nuclear Medicine and Imaging (1.4k citations) and Cancer Research (299 citations). Jia Wu has collaborated with scholars based in United States, China and Pakistan. Frequent co-authors include Ruijiang Li, Yi Cui, Daniel L. Rubin, Xiaoli Sun, Maximilian Diehn, Sandy Napel, Billy W. Loo, Guohong Cao, Rizwan Qureshi and Allison W. Kurian. Their work appears in journals such as Nature Communications, Blood and Cancer Research.

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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