Wei Han

2.4k total citations
102 papers, 1.5k citations indexed

About

Wei Han is a scholar working on Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Wei Han has authored 102 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 17 papers in Public Health, Environmental and Occupational Health and 16 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Wei Han's work include Lung Cancer Diagnosis and Treatment (11 papers), Hematopoietic Stem Cell Transplantation (10 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Wei Han is often cited by papers focused on Lung Cancer Diagnosis and Treatment (11 papers), Hematopoietic Stem Cell Transplantation (10 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Wei Han collaborates with scholars based in China, United States and United Kingdom. Wei Han's co-authors include Winnie Yip, Xiao‐Jun Huang, Jingmei Jiang, Weiyan Jian, Mu Hu, Ming Lu, Timothy Powell‐Jackson, Kai‐Yan Liu, Yu‐Hong Chen and Lan‐Ping Xu and has published in prestigious journals such as The Lancet, Nature Communications and Blood.

In The Last Decade

Wei Han

90 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Han China 23 335 220 212 211 182 102 1.5k
Jipan Xie United States 24 286 0.9× 370 1.7× 182 0.9× 485 2.3× 126 0.7× 133 2.4k
Dong Chan Jin South Korea 26 114 0.3× 256 1.2× 128 0.6× 62 0.3× 166 0.9× 78 2.0k
Paul Carter United Kingdom 22 160 0.5× 187 0.8× 163 0.8× 473 2.2× 108 0.6× 35 1.7k
Femke Atsma Netherlands 23 285 0.9× 131 0.6× 532 2.5× 153 0.7× 170 0.9× 85 2.4k
Catherine Copley‐Merriman United States 22 87 0.3× 176 0.8× 121 0.6× 202 1.0× 207 1.1× 68 1.7k
Kim Rose Olsen Denmark 20 36 0.1× 306 1.4× 148 0.7× 64 0.3× 292 1.6× 84 1.4k
Jonathan Tosh United Kingdom 17 192 0.6× 73 0.3× 75 0.4× 86 0.4× 243 1.3× 41 1.3k
Jer‐Chia Tsai Taiwan 18 66 0.2× 149 0.7× 134 0.6× 101 0.5× 78 0.4× 37 1.5k
Hugh Gallagher United Kingdom 24 84 0.3× 278 1.3× 181 0.9× 56 0.3× 241 1.3× 63 1.9k
Valentin Brodszky Hungary 30 114 0.3× 90 0.4× 195 0.9× 109 0.5× 460 2.5× 203 2.9k

Countries citing papers authored by Wei Han

Since Specialization
Citations

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

Fields of papers citing papers by Wei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Han

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Han. A scholar is included among the top collaborators of Wei Han 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 Wei Han. Wei Han 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.
Ge, Haiyan, Wei Han, Ge Hu, et al.. (2025). Assessing the Heterogeneous Treatment Effects of Glucocorticoids in Infants and Toddlers with Severe Pneumonia. Biomedicines. 13(10). 2333–2333.
3.
Hu, Ge, et al.. (2024). Predicting Invasiveness of Lung Adenocarcinoma at Chest CT with Deep Learning Ternary Classification Models. Radiology. 311(1). e232057–e232057. 16 indexed citations
4.
Wang, Zixing, Wei Han, Ran Fei, et al.. (2024). Age, frequency, and strategy optimization for organized colorectal cancer screening: a decision analysis conducted in China for the years 2023–2038. BMC Cancer. 24(1). 1596–1596. 1 indexed citations
5.
Yu, Ziqing, Xiaoyin Bai, Mingyue Guo, et al.. (2023). Differences in the incidence and mortality of digestive cancer between Global Cancer Observatory 2020 and Global Burden of Disease 2019. International Journal of Cancer. 154(4). 615–625. 41 indexed citations
6.
Du, Yu, Hongya Han, Hua Shen, et al.. (2023). Prognosis of Elevated Mitral Valve Pressure Gradient After Transcatheter Edge-to-Edge Repair: Systematic Review and Meta-Analysis. Current Problems in Cardiology. 49(2). 102095–102095. 2 indexed citations
7.
Han, Wei, Shuo Chen, Qiang Li, et al.. (2023). Lifestyle and clinical factors as predictive indicators of cardiometabolic multimorbidity in Chinese adults: Baseline findings of the Beijing Health Management Cohort (BHMC) study. Computers in Biology and Medicine. 168. 107792–107792. 7 indexed citations
9.
Han, Wei, Peng Wu, Yuguang Huang, et al.. (2023). Prediction of complications associated with general surgery using a Bayesian network. Surgery. 174(5). 1227–1234.
10.
Wu, Peng, Zixing Wang, Wei Han, et al.. (2023). Network prediction of surgical complication clusters: a prospective multicenter cohort study. Science China Life Sciences. 66(7). 1636–1646. 1 indexed citations
11.
Han, Wei, et al.. (2021). Self-Reference Effect Induced by Self-Cues Presented During Retrieval. Frontiers in Psychology. 12. 562359–562359. 3 indexed citations
12.
Wang, Zixing, Xiaodong He, Guichen Li, et al.. (2020). Developing a toolbox for identifying when to engage senior surgeons in emergency general surgery: A multicenter cohort study. International Journal of Surgery. 85. 30–39. 4 indexed citations
13.
Wang, Yue, Yang Yu, Wei Han, et al.. (2020). CT Radiomics for Distinction of Human Epidermal Growth Factor Receptor 2 Negative Gastric Cancer. Academic Radiology. 28(3). e86–e92. 24 indexed citations
14.
15.
Jiang, Jingmei, Hong Shang, Hong Sun, et al.. (2019). Effect of a risk-stratified intervention strategy on surgical complications: experience from a multicentre prospective study in China. BMJ Open. 9(6). e025401–e025401. 6 indexed citations
16.
Wang, Zixing, Yuguang Huang, Hong Sun, et al.. (2019). Cost‐effectiveness comparison of routine transfusion with restrictive and liberal transfusion strategies for surgical patients in China. Vox Sanguinis. 114(7). 721–739. 3 indexed citations
17.
Jiang, Jingmei, Changwei Liu, Keng Shen, et al.. (2017). Protocol for a multicentre, multistage, prospective study in China using system-based approaches for consistent improvement in surgical safety. BMJ Open. 7(6). e015147–e015147. 13 indexed citations
18.
Wang, Yuyan, Biao Zhang, Lei Hou, et al.. (2017). Interaction of ACE genotype and salt intake on hypertension among Chinese Kazakhs: results from a population-based cross-sectional study. BMJ Open. 7(5). e014246–e014246. 6 indexed citations
19.
Mo, Xiao‐Dong, Xiaohui Zhang, Lan‐Ping Xu, et al.. (2015). Interferon-α: A Potentially Effective Treatment for Minimal Residual Disease in Acute Leukemia/Myelodysplastic Syndrome after Allogeneic Hematopoietic Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 21(11). 1939–1947. 46 indexed citations
20.
Chai, Meng, Qingwei Ji, Haitao Zhang, et al.. (2015). The Protective Effect of Interleukin-37 on Vascular Calcification and Atherosclerosis in Apolipoprotein E-Deficient Mice with Diabetes. Journal of Interferon & Cytokine Research. 35(7). 530–539. 50 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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