Shihao Yang

1.2k total citations
34 papers, 712 citations indexed

About

Shihao Yang is a scholar working on Epidemiology, Modeling and Simulation and Artificial Intelligence. According to data from OpenAlex, Shihao Yang has authored 34 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 12 papers in Modeling and Simulation and 8 papers in Artificial Intelligence. Recurrent topics in Shihao Yang's work include Data-Driven Disease Surveillance (13 papers), COVID-19 epidemiological studies (12 papers) and Influenza Virus Research Studies (9 papers). Shihao Yang is often cited by papers focused on Data-Driven Disease Surveillance (13 papers), COVID-19 epidemiological studies (12 papers) and Influenza Virus Research Studies (9 papers). Shihao Yang collaborates with scholars based in United States, Japan and China. Shihao Yang's co-authors include S. C. Kou, Mauricio Santillana, A. Kavcic, Sekhar Tatikonda, John S. Brownstein, Nathan Palmer, Isaac S. Kohane, Shaoyang Ning, Fred Lu and Josh Gray and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Shihao Yang

34 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shihao Yang United States 12 363 220 106 79 76 34 712
Tamay Besiroglu United States 5 113 0.3× 453 2.1× 77 0.7× 45 0.6× 50 0.7× 10 825
Anel Nurtay United Kingdom 5 352 1.0× 920 4.2× 104 1.0× 84 1.1× 15 0.2× 5 1.6k
Anup Agarwal United States 12 46 0.1× 203 0.9× 26 0.2× 64 0.8× 46 0.6× 31 991
Axel Gandy United Kingdom 13 80 0.2× 264 1.2× 45 0.4× 40 0.5× 54 0.7× 45 727
Chenguang Wang United States 22 291 0.8× 56 0.3× 75 0.7× 254 3.2× 32 0.4× 87 1.5k
Steffen Unkel United Kingdom 13 174 0.5× 117 0.5× 50 0.5× 115 1.5× 5 0.1× 26 673
Zijian Kang China 10 78 0.2× 112 0.5× 114 1.1× 52 0.7× 11 0.1× 20 750
Peixiao Wang China 14 65 0.2× 62 0.3× 56 0.5× 30 0.4× 69 0.9× 54 758
Guangpu Yang China 14 196 0.5× 1.0k 4.6× 66 0.6× 296 3.7× 15 0.2× 31 2.1k
Bing Fan China 13 102 0.3× 38 0.2× 195 1.8× 179 2.3× 12 0.2× 72 1.5k

Countries citing papers authored by Shihao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shihao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shihao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shihao Yang. A scholar is included among the top collaborators of Shihao Yang 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 Shihao Yang. Shihao Yang 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.
Yang, Shihao, et al.. (2025). Efficient expression of recombinant proteins in Bacillus subtilis using a rewired gene circuit of quorum sensing. Biotechnology Progress. 41(3). e70007–e70007. 2 indexed citations
2.
Yang, Shihao, et al.. (2024). The association of HBV infection and head and neck cancer: a systematic review and meta-analysis. BMC Cancer. 24(1). 225–225. 5 indexed citations
3.
Protter, Philip, et al.. (2024). Order Book Queue Hawkes Markovian Modeling. SIAM Journal on Financial Mathematics. 15(1). 1–25. 1 indexed citations
4.
Yang, Shihao, et al.. (2023). Estimating and Assessing Differential Equation Models with Time-Course Data. The Journal of Physical Chemistry B. 127(11). 2362–2374. 2 indexed citations
5.
Ning, Shaoyang, et al.. (2023). Joint COVID-19 and influenza-like illness forecasts in the United States using internet search information. SHILAP Revista de lepidopterología. 3(1). 39–39. 5 indexed citations
6.
Yang, Shihao, et al.. (2023). County augmented transformer for COVID-19 state hospitalizations prediction. Scientific Reports. 13(1). 9955–9955. 3 indexed citations
7.
Wang, Tao, et al.. (2022). COVID-19 hospitalizations forecasts using internet search data. Scientific Reports. 12(1). 9661–9661. 7 indexed citations
8.
Zhu, Shixiang, et al.. (2022). Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. IEEE Journal of Selected Topics in Signal Processing. 16(2). 250–260. 5 indexed citations
9.
Wang, Feicheng, Shihao Yang, Nathan Palmer, et al.. (2021). Real-world data analyses unveiled the immune-related adverse effects of immune checkpoint inhibitors across cancer types. npj Precision Oncology. 5(1). 82–82. 24 indexed citations
10.
Yang, Shihao, et al.. (2021). COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 prediction. Scientific Reports. 11(1). 14262–14262. 10 indexed citations
11.
Yang, Shihao, Shaoyang Ning, & S. C. Kou. (2021). Use Internet search data to accurately track state level influenza epidemics. Scientific Reports. 11(1). 4023–4023. 12 indexed citations
12.
Kehl, Kenneth L., Shihao Yang, Mark M. Awad, et al.. (2019). Pre-existing autoimmune disease and the risk of immune-related adverse events among patients receiving checkpoint inhibitors for cancer. Cancer Immunology Immunotherapy. 68(6). 917–926. 59 indexed citations
13.
Ning, Shaoyang, Shihao Yang, & S. C. Kou. (2019). Accurate regional influenza epidemics tracking using Internet search data. Scientific Reports. 9(1). 5238–5238. 22 indexed citations
14.
Yang, Shihao, S. C. Kou, Fred Lu, et al.. (2017). Advances in using Internet searches to track dengue. PLoS Computational Biology. 13(7). e1005607–e1005607. 67 indexed citations
15.
Yang, Shihao, et al.. (2017). Using electronic health records and Internet search information for accurate influenza forecasting. BMC Infectious Diseases. 17(1). 332–332. 67 indexed citations
16.
Protter, Philip, et al.. (2016). The lifetime of a financial bubble. Mathematics and Financial Economics. 11(1). 45–62. 18 indexed citations
17.
Yang, Shihao, Mauricio Santillana, & S. C. Kou. (2015). ARGO: a model for accurate estimation of influenza epidemics using Google search data. arXiv (Cornell University). 3 indexed citations
18.
Yang, Shihao, et al.. (2005). Biomimetic tactile sensors of CMC/polysilicone composite sheet as artificial skins. 237 239. 41–44. 2 indexed citations
19.
Krupp, Ulrich, et al.. (2004). Experimental Analysis and Computer Simulation of Inward Oxide Growth during High-Temperature Corrosion of Low-Alloy Boiler Steels. Materials science forum. 461-464. 571–578. 3 indexed citations
20.
Yang, Shihao, et al.. (2003). Preparation of TaN/C (carbon microcoils)/TaN composite microtubes and TaN microtubes by vapor phase diffusion treatment of carbon microcoils. Materials Science and Engineering A. 346(1-2). 29–33. 2 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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