Shunpu Zhang

804 citations
45 papers · 442 indexed · h-index 12
Topics
Statistical Methods and Inference (15 papers)Gene expression and cancer classification (8 papers)Bayesian Methods and Mixture Models (7 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Shunpu Zhang

43 papers receiving 416 citations

Peers

Shunpu Zhang
Comparison fields: 5 of 110
  • Statistics and Probability 169
  • Molecular Biology 133
  • Artificial Intelligence 106
  • Genetics 29
  • Statistics, Probability and Uncertainty 29
Replace Alessandra Guglielmi with:
Alessandra Guglielmi Italy
Jooyong Shim South Korea
Jingjing Wu Canada
Chris Hans United States
Luis E. Nieto‐Barajas Mexico
Ao Yuan United States
Céline Lévy‐Leduc France
Carlos Daniel Paulino Portugal
Haipeng Xing United States
Alex Karagrigoriou Greece
Shunpu Zhang relative to Alessandra Guglielmi Italy Alessandra Guglielmi's profile →
Citations per field
00.5×1.7×
Alessandra Guglielmi · 1×
Citations per year

Countries citing papers authored by Shunpu Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Shunpu Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunpu Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Shunpu Zhang. A scholar is included among the top collaborators of Shunpu Zhang 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 Shunpu Zhang. Shunpu Zhang 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
#WorkIndexed citations
1 3
2 4
3 2
4 1
5 5
6 8
7 2
8 9
9 17
10 5
11 14
12 3
13 4
14 7
15 33
16 8
17 11
18 17
19 2
20 7

About Shunpu Zhang

Shunpu Zhang is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Numerical Analysis, having authored 45 papers that have together received 442 indexed citations. Recurring topics across this work include Statistical Methods and Inference (15 papers), Gene expression and cancer classification (8 papers) and Bayesian Methods and Mixture Models (7 papers). The work is most often cited by research in Statistics and Probability (169 citations), Statistics, Probability and Uncertainty (29 citations) and Artificial Intelligence (106 citations). Shunpu Zhang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Rohana J. Karunamuni, Shuo Jiao, Xiang Fang, Guoqing Lu, Robert B. Hines, Ruth M. Pfeiffer, Huann‐Sheng Chen, Zhong Li, Adrian V. Specogna and Kent M. Eskridge. Their work appears in journals such as Journal of Clinical Oncology, Bioinformatics and American Journal of Epidemiology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026