Jialong Wu

787 total citations
41 papers, 502 citations indexed

About

Jialong Wu is a scholar working on Health, Toxicology and Mutagenesis, Oncology and Artificial Intelligence. According to data from OpenAlex, Jialong Wu has authored 41 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Health, Toxicology and Mutagenesis, 7 papers in Oncology and 7 papers in Artificial Intelligence. Recurrent topics in Jialong Wu's work include Air Quality and Health Impacts (9 papers), Pancreatic and Hepatic Oncology Research (7 papers) and Climate Change and Health Impacts (5 papers). Jialong Wu is often cited by papers focused on Air Quality and Health Impacts (9 papers), Pancreatic and Hepatic Oncology Research (7 papers) and Climate Change and Health Impacts (5 papers). Jialong Wu collaborates with scholars based in China, United States and Australia. Jialong Wu's co-authors include Yong Chen, Jiawei Huang, Suresh Menon, Tian‐wu Chen, Fei Han, Xing Zhao, Wenbo Xiao, Meixia Zhang, Ying Xu and Q. Wang and has published in prestigious journals such as The Science of The Total Environment, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Jialong Wu

33 papers receiving 492 citations

Peers

Jialong Wu

RNMI

SURGE

HTM

ONCOL

PRM

Junbeom Park South Korea

José M. Carreira Spain

Deepak Kaji United States

Kenneth Fung United Kingdom

Omolola Mojisola Atalabi Nigeria

So Hyeon Bak South Korea

Rebecca Mister United Kingdom

Qingyu Dou China

Chengshui Chen China

Boris Hoffmann Germany

Junbeom Park South Korea

Jialong Wu

157 ×1.2

RNMI

126 ×1.0

SURGE

48 ×0.5

HTM

36 ×0.4

ONCOL

60 ×0.9

PRM

Citations per year, relative to Jialong Wu Jialong Wu (= 1×) peers Junbeom Park

Countries citing papers authored by Jialong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jialong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jialong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jialong Wu. A scholar is included among the top collaborators of Jialong 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 Jialong Wu. Jialong Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wu, Jialong, et al.. (2025). Associations of ambient air pollution exposure and sleep pattern with brain structures: A prospective study in the UK Biobank. Ecotoxicology and Environmental Safety. 302. 118517–118517.

Xian, Liang, Xueli Zhang, Jialong Wu, et al.. (2024). Associations of Long‐Term Exposure to Fine Particulate Constituents With Cardiovascular Diseases and Underlying Metabolic Mediations: A Prospective Population‐Based Cohort in Southwest China. Journal of the American Heart Association. 13(10). e033455–e033455. 8 indexed citations

Wu, Jialong, et al.. (2024). Dynamic Equivalence Study of Direct-drive Wind Farm. 313–317.

Chen, Mei‐Chun, Jialong Wu, Yi Huang, et al.. (2024). Establishment of trypsinogen-2 Amplification Luminescent Proximity Homogeneous Assay and its Application in Acute Pancreatitis. Journal of Fluorescence. 35(7). 5355–5366. 1 indexed citations

Wu, Jialong, et al.. (2024). DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference. 3504–3518.

Zhang, Linhai, et al.. (2024). STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models. 3519–3532.

Li, Sicheng, Bing Guo, Ke Dong, et al.. (2023). Association of long-term exposure to ambient PM2.5 and its constituents with gut microbiota: Evidence from a China cohort. The Science of The Total Environment. 884. 163577–163577. 13 indexed citations

Xu, Huan, Jialong Wu, Bing Guo, et al.. (2023). Ambient air pollution exposure, plasma metabolomic markers, and risk of type 2 diabetes: A prospective cohort study. Journal of Hazardous Materials. 463. 132844–132844. 6 indexed citations

Wu, Jialong, et al.. (2023). Fluoride resistance capacity in mammalian cells involves global gene expression changes associate with ferroptosis. Chemico-Biological Interactions. 381. 110555–110555. 3 indexed citations

10.

Zhang, Junyi, et al.. (2023). Transient Stability Assessment of High Proportional Renewable Energy Power System Based on Improved Bi-LSTM under Data Sample Imbalance Distribution. 44. 438–443. 2 indexed citations

11.

Liu, Zhixuan, et al.. (2023). Development trends and knowledge framework in the application of magnetic resonance imaging in prostate cancer: a bibliometric analysis from 1984 to 2022. Quantitative Imaging in Medicine and Surgery. 13(10). 6761–6777. 4 indexed citations

12.

Li, Yong, Jialong Wu, Ting Zhou, et al.. (2022). Radiomics models based on multi-sequence MRI for preoperative evaluation of MUC4 status in pancreatic ductal adenocarcinoma: a preliminary study. Quantitative Imaging in Medicine and Surgery. 12(11). 5129–5139. 5 indexed citations

13.

Zhou, Ting, Jialong Wu, Yong Chen, et al.. (2021). Radiomics Model Based on MR Images to Discriminate Pancreatic Ductal Adenocarcinoma and Mass-Forming Chronic Pancreatitis Lesions. Frontiers in Oncology. 11. 620981–620981. 23 indexed citations

14.

Wu, Jialong, et al.. (2021). Hysterectomy and ischemic heart disease: An observational study using propensity score methods in NHANES 2007–2018. Atherosclerosis. 327. 5–12. 10 indexed citations

15.

Lü, Xuan, Yang Jiang, Jialong Wu, et al.. (2020). Changes of the adjacent discs and vertebrae in patients with osteoporotic vertebral compression fractures treated with or without bone cement augmentation. The Spine Journal. 20(7). 1048–1055. 17 indexed citations

16.

Yang, Jianqiong, Jialong Wu, Liqin Yang, et al.. (2020). A radiomics model of liver CT to predict risk of hepatic encephalopathy secondary to hepatitis B related cirrhosis. European Journal of Radiology. 130. 109201–109201. 10 indexed citations

17.

Huang, Jiawei, Haotian Shen, Jialong Wu, et al.. (2019). Spine Explorer: a deep learning based fully automated program for efficient and reliable quantifications of the vertebrae and discs on sagittal lumbar spine MR images. The Spine Journal. 20(4). 590–599. 66 indexed citations

18.

Wu, Jialong, Jiawei Huang, Michele C. Battié, & Yue Wang. (2019). Lifestyle and lifetime occupational exposures may not play a role in the pathogenesis of Modic changes on the lumbar spine MR images. The Spine Journal. 20(1). 94–100. 6 indexed citations

19.

Han, Fei, Wenbo Xiao, Ying Xu, et al.. (2008). The significance of BOLD MRI in differentiation between renal transplant rejection and acute tubular necrosis. Nephrology Dialysis Transplantation. 23(8). 2666–2672. 72 indexed citations

20.

Qiu, Shijun, et al.. (2001). A fusion of bayesian and fuzzy analysis for print faults diagnosis.. Computers and Their Applications. 229–232. 13 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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