Jia Wu

5.9k total citations · 1 hit paper
98 papers, 2.4k citations indexed

About

Jia Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jia Wu has authored 98 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Pulmonary and Respiratory Medicine and 21 papers in Oncology. Recurrent topics in Jia Wu's 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). Jia Wu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (30 papers), Lung Cancer Diagnosis and Treatment (13 papers) and Lung Cancer Treatments and Mutations (13 papers). Jia Wu collaborates with scholars based in United States, China and Pakistan. Jia Wu's co-authors include Ruijiang Li, Yi Cui, Daniel L. Rubin, Xiaoli Sun, Maximilian Diehn, Sandy Napel, Billy W. Loo, Rizwan Qureshi, Allison W. Kurian and Guohong Cao and has published in prestigious journals such as Nature Communications, Blood and Cancer Research.

In The Last Decade

Jia Wu

87 papers receiving 2.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

AI in drug discovery and its clinical relevance

2023 125 citations Rizwan Qureshi, Muhammad Irfan et al. Heliyon profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jia Wu United States	28	1.4k	626	437	404	349	98	2.4k
Chengdi Wang China	28	725 0.5×	897 1.4×	277 0.6×	515 1.3×	729 2.1×	102	2.7k
Paolo Ocampo United States	7	981 0.7×	342 0.5×	1.1k 2.5×	349 0.9×	326 0.9×	9	2.2k
Nicolas Coudray United States	17	1.1k 0.8×	378 0.6×	1.2k 2.7×	495 1.2×	554 1.6×	49	2.5k
Francesco C. Stingo United States	30	1.5k 1.0×	871 1.4×	356 0.8×	273 0.7×	644 1.8×	90	3.2k
Hamid Abdollahi Iran	27	1.5k 1.1×	664 1.1×	222 0.5×	384 1.0×	396 1.1×	93	2.6k
Famke Aeffner United States	19	519 0.4×	279 0.4×	706 1.6×	335 0.8×	329 0.9×	48	1.8k
Jianhua Zhou China	34	1.0k 0.7×	720 1.2×	321 0.7×	557 1.4×	990 2.8×	183	3.8k
Wei Fan China	23	687 0.5×	378 0.6×	130 0.3×	263 0.7×	259 0.7×	159	1.7k
Sebastian Foersch Germany	25	568 0.4×	386 0.6×	478 1.1×	767 1.9×	498 1.4×	70	2.2k
Natalie Shih United States	24	1.1k 0.8×	412 0.7×	1.4k 3.3×	494 1.2×	718 2.1×	47	2.8k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhao, Bingxin, Chad D. Huff, Jianjun Zhang, et al.. (2025). Benchmarking DNA foundation models for genomic and genetic tasks. Nature Communications. 16(1). 10780–10780. 1 indexed citations

Ostrin, Edwin J., Jianjun Zhang, Jia Wu, et al.. (2025). Risk of second primary lung cancer among cancer survivors stratified by the site of first primary cancer and the lung cancer screening eligibility status. International Journal of Cancer. 157(5). 941–953.

Zafar, Anas, Rizwan Qureshi, Xinqi Fan, et al.. (2024). Single Stage Adaptive Multi-Attention Network for Image Restoration. IEEE Transactions on Image Processing. 33. 2924–2935. 12 indexed citations

Hong, Lingzhi, Sonia Patel, Leylah Drusbosky, et al.. (2024). Molecular landscape of ERBB2 alterations in 3000 advanced NSCLC patients. npj Precision Oncology. 8(1). 217–217. 11 indexed citations

Tahir, Muhammad Atif, et al.. (2024). Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer. Neural Computing and Applications. 36(12). 6659–6680. 9 indexed citations

Tahir, Muhammad Atif, et al.. (2024). Exploring Multiple Instance Learning (MIL): A brief survey. Expert Systems with Applications. 250. 123893–123893. 14 indexed citations

Zhang, Baoyi, Chenyang Li, Jia Wu, Jianjun Zhang, & Chao Cheng. (2024). DeepCG: A cell graph model for predicting prognosis in lung adenocarcinoma. International Journal of Cancer. 154(12). 2151–2161. 1 indexed citations

Wu, Jia, et al.. (2024). Exploring Multiple Instance Learning (MIL): A Brief Survey. SSRN Electronic Journal. 1 indexed citations

Qureshi, Rizwan, Muhammad Irfan, Taimoor Muzaffar Gondal, et al.. (2023). AI in drug discovery and its clinical relevance. Heliyon. 9(7). e17575–e17575. 125 indexed citations breakdown →

10.

Le, Xiuning, Jacqulyne Robichaux, Monique B. Nilsson, et al.. (2023). 1377P Differential impact of EGFR exon 20 insertion location on tyrosine kinase inhibitor sensitivity. Annals of Oncology. 34. S790–S790. 2 indexed citations

11.

Al-Tashi, Qasem, Maliazurina B. Saad, Amgad Muneer, et al.. (2023). Machine Learning Models for the Identification of Prognostic and Predictive Cancer Biomarkers: A Systematic Review. International Journal of Molecular Sciences. 24(9). 7781–7781. 65 indexed citations

12.

Tran, Hai T., Simon Heeke, Sheeba J. Sujit, et al.. (2023). Circulating tumor DNA and radiological tumor volume identify patients at risk for relapse with resected, early-stage non-small-cell lung cancer. Annals of Oncology. 35(2). 183–189. 32 indexed citations

13.

Al-Tashi, Qasem, Maliazurina B. Saad, Ajay Sheshadri, et al.. (2023). SwarmDeepSurv: swarm intelligence advances deep survival network for prognostic radiomics signatures in four solid cancers. Patterns. 4(8). 100777–100777. 4 indexed citations

14.

Sun, Peng, Hongliang Liu, Peng Wei, et al.. (2023). Functional Genetic Variants in TGFβ1 and TGFβR1 in miRNA-Binding Sites Predict Outcomes in Patients with HPV-positive Oropharyngeal Squamous Cell Carcinoma. Clinical Cancer Research. 29(16). 3081–3091. 4 indexed citations

15.

Qureshi, Rizwan, Muhammad Irfan, Hazrat Ali, et al.. (2023). Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review. IEEE Access. 11. 61600–61620. 73 indexed citations

16.

Qureshi, Rizwan, Bin Zou, Tanvir Alam, et al.. (2022). Computational Methods for the Analysis and Prediction of EGFR-Mutated Lung Cancer Drug Resistance: Recent Advances in Drug Design, Challenges and Future Prospects. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(1). 238–255. 35 indexed citations

17.

Huang, Haijun, Hong Li, Shanshan Chen, et al.. (2021). Prevalence and Characteristics of Hypoxic Hepatitis in COVID-19 Patients in the Intensive Care Unit: A First Retrospective Study. Frontiers in Medicine. 7. 607206–607206. 17 indexed citations

18.

Zhang, Baoyi, Kevin Yao, Min Xu, Jia Wu, & Chao Cheng. (2021). Deep Learning Predicts EBV Status in Gastric Cancer Based on Spatial Patterns of Lymphocyte Infiltration. Cancers. 13(23). 6002–6002. 10 indexed citations

19.

Li, Bei, Xu-Rui Shen, Ren-Di Jiang, et al.. (2021). Characterization of Novel Rhabdoviruses in Chinese Bats. Viruses. 13(1). 64–64. 12 indexed citations

20.

Wu, Jia, Yi Cui, Xiaoli Sun, et al.. (2017). Unsupervised Clustering of Quantitative Image Phenotypes Reveals Breast Cancer Subtypes with Distinct Prognoses and Molecular Pathways. Clinical Cancer Research. 23(13). 3334–3342. 77 indexed citations

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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