Tianyi Wang

2.8k total citations · 3 hit papers
68 papers, 1.0k citations indexed

About

Tianyi Wang is a scholar working on Molecular Biology, Finance and Physiology. According to data from OpenAlex, Tianyi Wang has authored 68 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Finance and 6 papers in Physiology. Recurrent topics in Tianyi Wang's work include Financial Risk and Volatility Modeling (7 papers), Stochastic processes and financial applications (6 papers) and Financial Markets and Investment Strategies (4 papers). Tianyi Wang is often cited by papers focused on Financial Risk and Volatility Modeling (7 papers), Stochastic processes and financial applications (6 papers) and Financial Markets and Investment Strategies (4 papers). Tianyi Wang collaborates with scholars based in China, United States and United Kingdom. Tianyi Wang's co-authors include Zhuo Huang, Thomas P. Conrads, Wei Yang, Simon C. Watkins, Guangxiang Luo, Brian L. Hood, Shufeng Liu, Jilie Kong, Huan‐Ming Xiong and Peter Reinhard Hansen and has published in prestigious journals such as Cell, Hepatology and International Journal of Molecular Sciences.

In The Last Decade

Tianyi Wang

55 papers receiving 1.0k citations

Hit Papers

Pathogenesis of allergic diseases and implications f... 2021 2026 2022 2024 2023 2021 2024 50 100 150

Peers

Tianyi Wang
Comparison fields: 5 of 143
  • Molecular Biology 213
  • Economics and Econometrics 122
  • Finance 120
  • Physiology 99
  • Epidemiology 95
Replace Haidong Wang with:
Haidong Wang China
Yingchun Liu China
Sharmistha Ghosh United States
Jan Brůha Czechia
Yun Feng China
Wing‐Yan Wong Hong Kong
Xue Li China
Xü Lin China
Xingzhou Wang China
Haidong Wang China View profile →
Citations per field, relative to Tianyi Wang
Tianyi Wang · 1×
Citations per year, relative to Tianyi Wang
Tianyi Wang · 1×

Countries citing papers authored by Tianyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tianyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tianyi Wang. A scholar is included among the top collaborators of Tianyi 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 Tianyi Wang. Tianyi 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
# Work Indexed citations
1 1
2 0
3 1
4
Spatial–temporal evolution analysis of multi-scenario land use and carbon storage based on PLUS-InVEST model: A case study in Dalian, China breakdown →
42
5 2
6 0
7 1
8 1
9 0
10 4
11 1
12 10
13 6
14 8
15 13
16 21
17 41
18
Constitutive analysis and FEM simulation of hot compression of ZX115 magnesium alloy
0
19 16
20 158

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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