Wanmin Lian

418 total citations
16 papers, 257 citations indexed

About

Wanmin Lian is a scholar working on Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wanmin Lian has authored 16 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Public Health, Environmental and Occupational Health, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wanmin Lian's work include Telemedicine and Telehealth Implementation (4 papers), COVID-19 diagnosis using AI (4 papers) and Machine Learning in Healthcare (2 papers). Wanmin Lian is often cited by papers focused on Telemedicine and Telehealth Implementation (4 papers), COVID-19 diagnosis using AI (4 papers) and Machine Learning in Healthcare (2 papers). Wanmin Lian collaborates with scholars based in China, Hong Kong and United States. Wanmin Lian's co-authors include Junzhang Tian, Jieyun Bai, Shun Long, Yaosheng Lu, Mujun Liu, Weibin Cheng, Guowei Li, Qiru Zhou, Hao Ren and Ziyi Li and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Expert Systems with Applications.

In The Last Decade

Wanmin Lian

16 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wanmin Lian China 9 58 52 33 31 31 16 257
Hsiu-An Lee Taiwan 12 38 0.7× 20 0.4× 53 1.6× 12 0.4× 16 0.5× 35 385
Christian Couturier France 10 31 0.5× 32 0.6× 40 1.2× 16 0.5× 18 0.6× 21 344
Maren E. Shipe United States 5 61 1.1× 54 1.0× 71 2.2× 16 0.5× 14 0.5× 16 334
Weilun Wang China 10 57 1.0× 55 1.1× 47 1.4× 60 1.9× 8 0.3× 38 367
Tim Rappon Canada 5 84 1.4× 53 1.0× 12 0.4× 15 0.5× 24 0.8× 8 381
Molei Yan China 8 98 1.7× 32 0.6× 26 0.8× 4 0.1× 20 0.6× 19 283
Mohammad Adibuzzaman United States 8 46 0.8× 25 0.5× 12 0.4× 3 0.1× 26 0.8× 26 272
Manman Cui China 10 16 0.3× 43 0.8× 30 0.9× 4 0.1× 24 0.8× 29 394
Nida Shahid Canada 6 84 1.4× 71 1.4× 13 0.4× 15 0.5× 27 0.9× 18 422
Lejla Gurbeta Pokvić Bosnia and Herzegovina 11 42 0.7× 70 1.3× 36 1.1× 8 0.3× 115 3.7× 48 497

Countries citing papers authored by Wanmin Lian

Since Specialization
Citations

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

Fields of papers citing papers by Wanmin Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanmin Lian

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

All Works

16 of 16 papers shown
1.
Ren, Hao, Fengshi Jing, Shan He, et al.. (2023). CheXMed: A multimodal learning algorithm for pneumonia detection in the elderly. Information Sciences. 654. 119854–119854. 18 indexed citations
2.
Pang, Sulin, et al.. (2023). Logistic regression prediction models and key influencing factors analysis of diabetes based on algorithm design. Neural Computing and Applications. 35(36). 25249–25261. 4 indexed citations
3.
Cheng, Weibin, et al.. (2023). An Introduction to Smart Home Ward–Based Hospital-at-Home Care in China. JMIR mhealth and uhealth. 12. e44422–e44422. 3 indexed citations
4.
Lian, Wanmin, et al.. (2023). Five-dimensional evaluation system and perceptron intelligent computing performance measurement methods based on medical heterogeneous equipment health data. Neural Computing and Applications. 35(35). 24651–24664. 1 indexed citations
5.
Zhang, Ying, et al.. (2022). Using a 5G network in hospitals to reduce nosocomial infection during the COVID-19 pandemic. SHILAP Revista de lepidopterología. 2(1). 51–51. 1 indexed citations
6.
Qi, Yong, Shuyun Zhang, Yanni He, et al.. (2022). A cell adhesion-promoting multi-network 3D printing bio-ink based on natural polysaccharide hydrogel. Frontiers in Bioengineering and Biotechnology. 10. 1070566–1070566. 9 indexed citations
7.
Cheng, Weibin, Wanmin Lian, & Junzhang Tian. (2022). Building the hospital intelligent twins for all-scenario intelligence health care. Digital Health. 8. 2282130182–2282130182. 13 indexed citations
8.
Xu, Zhongzhi, Weibin Cheng, Zhen Li, et al.. (2022). Mass Screening for Low Bone Density Using Basic Check-Up Items. IEEE Transactions on Computational Social Systems. 10(5). 2579–2586. 2 indexed citations
9.
Lawrence, Wayne R., Jun Yang, Junzhang Tian, et al.. (2021). Association between serum uric acid and obesity in Chinese adults: a 9-year longitudinal data analysis. BMJ Open. 11(2). e041919–e041919. 33 indexed citations
10.
Li, Guowei, et al.. (2021). Improving patient care through the development of a 5G-powered smart hospital. Nature Medicine. 27(6). 936–937. 21 indexed citations
11.
Liu, Mujun, Yaosheng Lu, Shun Long, Jieyun Bai, & Wanmin Lian. (2021). An attention-based CNN-BiLSTM hybrid neural network enhanced with features of discrete wavelet transformation for fetal acidosis classification. Expert Systems with Applications. 186. 115714–115714. 77 indexed citations
12.
Ren, Hao, Wanmin Lian, Weibin Cheng, et al.. (2021). Interpretable Pneumonia Detection by Combining Deep Learning and Explainable Models With Multisource Data. IEEE Access. 9. 95872–95883. 28 indexed citations
13.
Lian, Wanmin, et al.. (2020). Digital Health Technologies Respond to the COVID-19 Pandemic In a Tertiary Hospital in China: Development and Usability Study. Journal of Medical Internet Research. 22(11). e24505–e24505. 24 indexed citations
14.
Li, Guangming, Dongmei Wu, Wanmin Lian, et al.. (2020). 2019 Novel Coronavirus-Infected Pneumonia on CT: A Feasibility Study of Few-Shot Learning for Computerized Diagnosis of Emergency Diseases. IEEE Access. 8. 194158–194165. 11 indexed citations
15.
Lian, Wanmin, et al.. (2019). Research on Hierarchical Data Fusion of Intelligent Medical Monitoring. IEEE Access. 8. 38355–38367. 8 indexed citations
16.
Lin, Jiunn‐Diann, Chun‐Hsien Hsu, Chung‐Ze Wu, et al.. (2013). Higher uric acid is associated with higher rate of metabolic syndrome in Chinese elderly. European Geriatric Medicine. 5(1). 26–30. 4 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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