Biyuan Wang

491 total citations
17 papers, 297 citations indexed

About

Biyuan Wang is a scholar working on Oncology, Artificial Intelligence and Pathology and Forensic Medicine. According to data from OpenAlex, Biyuan Wang has authored 17 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Artificial Intelligence and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Biyuan Wang's work include Genetic factors in colorectal cancer (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Structural Behavior of Reinforced Concrete (2 papers). Biyuan Wang is often cited by papers focused on Genetic factors in colorectal cancer (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Structural Behavior of Reinforced Concrete (2 papers). Biyuan Wang collaborates with scholars based in China, United States and India. Biyuan Wang's co-authors include Shuting Li, Zheling Chen, Meng Lv, Jiao Yang, Chia-Yuan Yu, Ayoung Woo, Christopher T. Emrich, Xiao Zhang, Pan Li and Xiaoman Zhang and has published in prestigious journals such as PLoS ONE, Medicine and BMC Cancer.

In The Last Decade

Biyuan Wang

16 papers receiving 296 citations

Peers

Biyuan Wang
Comparison fields: 5 of 84
  • Oncology 105
  • Epidemiology 69
  • Pathology and Forensic Medicine 61
  • Pulmonary and Respiratory Medicine 51
  • Radiology, Nuclear Medicine and Imaging 36
Replace Xueqing Cheng with:
Xueqing Cheng China
Man Lu China
Hyun Ki Kim South Korea
Mirela Gherghe Romania
Petros Bangeas Greece
Chanwoo Kim South Korea
Zhiyuan Cai China
Yefan Zhang China
Hatsuko Nasu Japan
Zirui Jiang United States
Xueqing Cheng China View profile →
Citations per field, relative to Biyuan Wang
Biyuan Wang · 1×
Citations per year, relative to Biyuan Wang
Biyuan Wang · 1×

Countries citing papers authored by Biyuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Biyuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biyuan Wang

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 4
2 0
3 10
4 25
5 8
6 33
7
Automated Segmentation of Lesions in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets.
7
8 4
9 33
10 8
11 24
12 77
13 5
14 21
15 21
16 11
17 6

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