Hua Wei

465 total citations
11 papers, 188 citations indexed

About

Hua Wei is a scholar working on Economics and Econometrics, Oncology and Statistics, Probability and Uncertainty. According to data from OpenAlex, Hua Wei has authored 11 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Economics and Econometrics, 3 papers in Oncology and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Hua Wei's work include Meta-analysis and systematic reviews (3 papers), Economic and Financial Impacts of Cancer (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Hua Wei is often cited by papers focused on Meta-analysis and systematic reviews (3 papers), Economic and Financial Impacts of Cancer (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Hua Wei collaborates with scholars based in China, United States and United Kingdom. Hua Wei's co-authors include Sebastian Schneeweiß, Shirley Wang, Simone Pinheiro, Lily G. Bessette, Peter Arlett, Jesse A. Berlin, Kristijan H. Kahler, Yoshiaki Uyama, Dorothee B. Bartels and Yinghui Jin and has published in prestigious journals such as BMJ, Journal of Clinical Epidemiology and Frontiers in Immunology.

In The Last Decade

Hua Wei

10 papers receiving 184 citations

Peers

Hua Wei
Comparison fields: 5 of 71
  • Economics and Econometrics 79
  • Statistics and Probability 48
  • Statistics, Probability and Uncertainty 37
  • Pulmonary and Respiratory Medicine 23
  • Oncology 21
Replace Kenneth Quinto with:
Kenneth Quinto United States
Thorsten Vetter Netherlands
Kelly Plueschke Netherlands
Dinesh Pal Mudaranthakam United States
Marisa Papaluca‐Amati Netherlands
Jules T. Mitchel United States
Xavier Pouwels Netherlands
Robyn Lim Canada
Theodor A. Balan Netherlands
Ashley Jaksa United States
Kenneth Quinto United States View profile →
Citations per field, relative to Hua Wei
Hua Wei · 1×
Citations per year, relative to Hua Wei
Hua Wei · 1×

Countries citing papers authored by Hua Wei

Since Specialization
Citations

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

Fields of papers citing papers by Hua Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Wei

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 2
2 1
3 0
4 23
5 1
6 2
7 14
8 121
9 1
10 5
11 18

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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