Lijia Wang

3.2k total citations · 1 hit paper
77 papers, 2.3k citations indexed

About

Lijia Wang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Lijia Wang has authored 77 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pulmonary and Respiratory Medicine, 22 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Epidemiology. Recurrent topics in Lijia Wang's work include Respiratory viral infections research (16 papers), Neonatal Respiratory Health Research (9 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Lijia Wang is often cited by papers focused on Respiratory viral infections research (16 papers), Neonatal Respiratory Health Research (9 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Lijia Wang collaborates with scholars based in China, United States and Canada. Lijia Wang's co-authors include Alessandro Morabito, Ahad A. Sadiq, Hans‐Georg Kopp, Tarek Mekhail, Achim Rittmeyer, Alona Zer, Howard West, Davey B. Daniel, Tania Ochi Lohmann and Steven McCune and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Lijia Wang

69 papers receiving 2.3k citations

Hit Papers

Atezolizumab in combination with carboplatin plus nab-pac... 2019 2026 2021 2023 2019 250 500 750 1000
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.

  1. Atezolizumab in combination with carboplatin plus nab-paclitaxel chemotherapy compared with chemotherapy alone as first-line treatment for metastatic non-squamous non-small-cell lung cancer (IMpower130): a multicentre, randomised, open-label, phase 3 trial
    2019 1.1k citations Howard West, Michael McCleod et al. The Lancet Oncology profile →

Peers

Lijia Wang
In‐Jae Oh South Korea
Hiroshi Kagamu Japan
Giovanni Rossi Italy
Masayuki Hanaoka Japan
Giovanni Vitale Italy
Hiroaki Satoh Japan
Hong Zhang China
Robert Gagnon United States
Ludger Banken Switzerland
Xiangning Fu China
In‐Jae Oh South Korea
Lijia Wang
Citations per year, relative to Lijia Wang Lijia Wang (= 1×) peers In‐Jae Oh

Countries citing papers authored by Lijia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lijia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijia Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lijia Wang. A scholar is included among the top collaborators of Lijia Wang 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 Lijia Wang. Lijia Wang 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
1.
Wang, Lijia, et al.. (2025). Classification of Hepatic Nodules Using an Improved WOA‐SVM Radiomics Model. International Journal of Imaging Systems and Technology. 35(2).
2.
Zhang, Bowen, Lijia Wang, Yiqing Liu, et al.. (2025). Pulsed electric current-assisted transient liquid phase sintering for extremely reliable Cu-Cu direct bonding. Materials Science and Engineering A. 943. 148766–148766.
3.
4.
Xu, Gang, Ming Cai, Yuan Li, et al.. (2024). Predicting environmental impacts of smallholder wheat production by coupling life cycle assessment and machine learning. The Science of The Total Environment. 921. 171097–171097. 7 indexed citations
5.
Zhang, Gaofeng, Qian Zhan, Panpan Yang, et al.. (2024). Automated pancreatic segmentation and fat fraction evaluation based on a self-supervised transfer learning network. Computers in Biology and Medicine. 170. 107989–107989. 5 indexed citations
6.
Wang, Lijia, et al.. (2023). Automatic right ventricular segmentation for cine cardiac magnetic resonance images based on a new deep atlas network. Medical Physics. 50(11). 7060–7070. 3 indexed citations
7.
8.
Wang, Baoli, Na Liu, Meiling Yang, et al.. (2021). Co-occurrence of planktonic bacteria and archaea affects their biogeographic patterns in China’s coastal wetlands. Environmental Microbiome. 16(1). 19–19. 24 indexed citations
9.
Nishio, Makoto, Fabrice Barlési, Howard West, et al.. (2020). Atezolizumab Plus Chemotherapy for First-Line Treatment of Non-Squamous Non-Small Cell Lung Cancer: Results From the Randomized Phase III IMpower132 Trial.. Journal of Thoracic Oncology. 7 indexed citations
10.
West, Howard, Michael McCleod, Maen Hussein, et al.. (2019). Atezolizumab in combination with carboplatin plus nab-paclitaxel chemotherapy compared with chemotherapy alone as first-line treatment for metastatic non-squamous non-small-cell lung cancer (IMpower130): a multicentre, randomised, open-label, phase 3 trial. The Lancet Oncology. 20(7). 924–937. 1137 indexed citations breakdown →
11.
12.
Zhou, Xiaolong, et al.. (2016). An inversion method of 2D NMR relaxation spectra in low fields based on LSQR and L-curve. Journal of Magnetic Resonance. 265. 146–152. 25 indexed citations
13.
Long, Xiaoru, Jun Xie, Wei Li, et al.. (2016). NK cells contribute to persistent airway inflammation and AHR during the later stage of RSV infection in mice. Medical Microbiology and Immunology. 205(5). 459–470. 21 indexed citations
14.
Long, Xiaoru, Simin Li, Jun Xie, et al.. (2015). MMP-12-mediated by SARM-TRIF signaling pathway contributes to IFN-γ-independent airway inflammation and AHR post RSV infection in nude mice. Respiratory Research. 16(1). 11–11. 23 indexed citations
15.
Nie, Shengdong, et al.. (2014). Potential application of ivim and dwi imaging in parkinson's disease. Tecnura. 18. 80–89. 1 indexed citations
16.
Wang, Lijia. (2011). Association of the interactions between IL-4 and Mina gene with children asthma. Immunological Journal. 2 indexed citations
17.
Chen, Yun, Xiqiang Yang, Ying Huang, Enmei Liu, & Lijia Wang. (2011). Associations of the Single-Nucleotide Polymorphisms of the Mina Gene with the Development of Asthma in Chinese Han Children: A Case–Control Study. Genetic Testing and Molecular Biomarkers. 15(7-8). 531–536. 8 indexed citations
18.
Yu, Dahai, Lynn Wei, Zhengxiu Luo, et al.. (2010). Impact of bacterial colonization on the severity, and accompanying airway inflammation, of virus-induced wheezing in children. Clinical Microbiology and Infection. 16(9). 1399–1404. 21 indexed citations
19.
Yu, Dahai, et al.. (2009). Impact of bacterial colonization on the severity and airway inflammation of children with virus induced wheezing. Clinical Microbiology and Infection. 16(9). 1399–404. 23 indexed citations
20.
Wang, Lijia. (2009). Th1/ Th2 cells polarization in children with autoimmune thyroid diseases. The Journal of clinical Pediatrics. 1 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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