Yanshan Wang

7.1k total citations · 5 hit papers
169 papers, 4.2k citations indexed

About

Yanshan Wang is a scholar working on Artificial Intelligence, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Yanshan Wang has authored 169 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Artificial Intelligence, 67 papers in Molecular Biology and 18 papers in Biomedical Engineering. Recurrent topics in Yanshan Wang's work include Biomedical Text Mining and Ontologies (63 papers), Topic Modeling (53 papers) and Machine Learning in Healthcare (33 papers). Yanshan Wang is often cited by papers focused on Biomedical Text Mining and Ontologies (63 papers), Topic Modeling (53 papers) and Machine Learning in Healthcare (33 papers). Yanshan Wang collaborates with scholars based in United States, China and Australia. Yanshan Wang's co-authors include Hongfang Liu, Feichen Shen, Liwei Wang, Sijia Liu, Majid Rastegar-Mojarad, Sunghwan Sohn, Naveed Afzal, Beibei Yan, Guanyi Chen and Shaobin Wang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yanshan Wang

153 papers receiving 4.0k citations

Hit Papers

Clinical information extraction applications: A literatur... 2017 2026 2020 2023 2017 2022 2023 2024 2025 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanshan Wang United States 31 1.6k 1.2k 590 527 423 169 4.2k
Jialiang Li Singapore 39 457 0.3× 925 0.8× 96 0.2× 59 0.1× 23 0.1× 296 5.9k
Qianqian Xie China 25 552 0.3× 338 0.3× 180 0.3× 151 0.3× 92 0.2× 105 1.8k
Jiao Li China 30 968 0.6× 1.5k 1.3× 101 0.2× 20 0.0× 53 0.1× 235 4.0k
Guozheng Li China 34 679 0.4× 1.2k 1.0× 76 0.1× 191 0.4× 12 0.0× 205 3.6k
Jonathan H. Chen United States 38 990 0.6× 882 0.7× 37 0.1× 15 0.0× 766 1.8× 198 5.3k
Jiamin Liu China 29 452 0.3× 174 0.1× 104 0.2× 144 0.3× 29 0.1× 284 4.5k
Bharath Ramsundar United States 11 1.4k 0.9× 1.9k 1.6× 15 0.0× 31 0.1× 658 1.6× 21 5.8k
Zeeshan Ahmed United States 19 361 0.2× 516 0.4× 24 0.0× 27 0.1× 211 0.5× 93 2.0k
Luis Javier Herrera Spain 31 543 0.3× 340 0.3× 34 0.1× 100 0.2× 61 0.1× 136 5.0k

Countries citing papers authored by Yanshan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yanshan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanshan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yanshan Wang. A scholar is included among the top collaborators of Yanshan 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 Yanshan Wang. Yanshan 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.
Wu, Xizhi, Song Wang, Xingyu Zhao, et al.. (2025). SDoH-GPT: using large language models to extract social determinants of health. Journal of the American Medical Informatics Association. 33(1). 67–78. 1 indexed citations
2.
He, Xu, Lan Liang, Yanshan Wang, et al.. (2025). Removal of COD from Secondary Effluent Using Fenton Iron Sludge-Based Biochar/Fe(VI)/H2O2 Process. Applied Sciences. 15(11). 5945–5945.
3.
Liang, Lan, Rui Wang, Yongsheng Xu, et al.. (2025). Revisit the actual roles of catalytic sites in a Fenton-like system. Journal of Colloid and Interface Science. 693. 137639–137639. 4 indexed citations
4.
Fu, Xuemei, Jian Li, Yanshan Wang, et al.. (2025). Insight into transformation of phosphorus species in biomass gasification at different stages. Bioresource Technology. 434. 132853–132853. 1 indexed citations
5.
Wang, Yanshan, Shengquan Zhou, Jian Li, et al.. (2024). Effect of torrefaction atmospheres on the pyrolysis and combustion of torrefied municipal solid waste. Fuel. 364. 131056–131056. 16 indexed citations
6.
Zhang, Xingyu, Yanshan Wang, Yun Jiang, Charissa B. Pacella, & Wenbin Zhang. (2024). Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models. BMC Medical Informatics and Decision Making. 24(1). 372–372. 5 indexed citations
8.
Zhang, Gongbo, Qiao Jin, Yong Chen, et al.. (2024). Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness. Journal of Biomedical Informatics. 153. 104640–104640. 15 indexed citations
9.
Sahoo, Satya S., Joseph M. Plasek, Hua Xu, et al.. (2024). Large language models for biomedicine: foundations, opportunities, challenges, and best practices. Journal of the American Medical Informatics Association. 31(9). 2114–2124. 20 indexed citations
10.
Azimi, Iman, David Oniani, Zahra Shakeri Hossein Abad, et al.. (2024). Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. npj Digital Medicine. 7(1). 82–82. 72 indexed citations
11.
Wang, Chuanbin, Lingchao Kong, Yanshan Wang, et al.. (2023). New insight into the synergy of nitrogen-related sites on biochar surface for sulfamethoxazole adsorption from water. Chinese Chemical Letters. 34(9). 108159–108159. 25 indexed citations
13.
Silwal, Prashanta, et al.. (2023). Cellular Senescence in Intervertebral Disc Aging and Degeneration: Molecular Mechanisms and Potential Therapeutic Opportunities. Biomolecules. 13(4). 686–686. 96 indexed citations breakdown →
14.
Wang, Yanshan, Wanjing Peng, Yujun Feng, et al.. (2022). Influence of injected signal polarization on SBS, SRS, spectral broadening, and self-pulsing properties in high-power fiber amplifier. Laser Physics Letters. 19(8). 85102–85102. 3 indexed citations
15.
Zong, Nansu, Andrew Wen, Sungrim Moon, et al.. (2022). Computational drug repurposing based on electronic health records: a scoping review. npj Digital Medicine. 5(1). 77–77. 30 indexed citations
16.
Bedrick, Steven, Aaron Cohen, Yanshan Wang, et al.. (2020). Evaluation of patient-level retrieval from electronic health record data for a cohort discovery task. JAMIA Open. 3(3). 395–404. 5 indexed citations
17.
Fu, Sunyang, Lester Y. Leung, Yanshan Wang, et al.. (2019). Natural Language Processing for the Identification of Silent Brain Infarcts From Neuroimaging Reports. JMIR Medical Informatics. 7(2). e12109–e12109. 35 indexed citations
18.
McRoy, Susan, Majid Rastegar-Mojarad, Yanshan Wang, et al.. (2018). Assessing Unmet Information Needs of Breast Cancer Survivors: Exploratory Study of Online Health Forums Using Text Classification and Retrieval. JMIR Cancer. 4(1). e10–e10. 24 indexed citations
19.
Shen, Feichen, et al.. (2017). Accelerating Rare Disease Diagnosis with Collaborative Filtering.. AMIA. 2 indexed citations
20.
Zeng, Yuqun, Xusheng Liu, Yanshan Wang, et al.. (2017). Recommending Education Materials for Diabetic Questions Using Information Retrieval Approaches. Journal of Medical Internet Research. 19(10). e342–e342. 9 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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