May D. Wang

20.6k total citations · 5 hit papers
412 papers, 12.7k citations indexed

About

May D. Wang is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, May D. Wang has authored 412 papers receiving a total of 12.7k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Molecular Biology, 87 papers in Artificial Intelligence and 46 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in May D. Wang's work include Gene expression and cancer classification (53 papers), AI in cancer detection (38 papers) and Bioinformatics and Genomic Networks (37 papers). May D. Wang is often cited by papers focused on Gene expression and cancer classification (53 papers), AI in cancer detection (38 papers) and Bioinformatics and Genomic Networks (37 papers). May D. Wang collaborates with scholars based in United States, China and United Kingdom. May D. Wang's co-authors include Shuming Nie, Andrew N. Young, K.D. Srivastava, A.J. Vandermaar, John H. Phan, Tong Li, Dong M. Shin, Todd H. Stokes, Qiqin Yin-Goen and Xianghong Peng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

May D. Wang

385 papers receiving 12.4k citations

Hit Papers

In vivo tumor targeting and spectroscopic detection with ... 2002 2026 2010 2018 2007 2003 2002 2013 2021 500 1000 1.5k

Peers

May D. Wang
Comparison fields: 5 of 222
  • Molecular Biology 4.2k
  • Biomedical Engineering 2.4k
  • Materials Chemistry 2.2k
  • Artificial Intelligence 1.6k
  • Electronic, Optical and Magnetic Materials 1.6k
Replace Yi‐Ting Wang with:
Yi‐Ting Wang China
Kun Wang China
Zhenhua Wu China
Se Hoon Kim South Korea
Zhong Chen China
Wei Wang China
Jianxin Wang China
Eun‐Kyung Kim South Korea
Jinyan Li China
Jin Wang China
Yi‐Ting Wang China View profile →
Citations per field, relative to May D. Wang
May D. Wang · 1×
Citations per year, relative to May D. Wang
May D. Wang · 1×

Countries citing papers authored by May D. Wang

Since Specialization
Citations

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

Fields of papers citing papers by May D. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of May D. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of May D. Wang. A scholar is included among the top collaborators of May D. 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 May D. Wang. May D. 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 0
2 5
3 0
4 0
5 21
6 3
7 1
8 4
9 0
10 23
11 1
12 4
13 20
14 2
15
Technology Leadership, Brand Equity, and Customer Loyalty towards Fintech Service Providers in China
5
16 2
17 3
18 5
19
The Effects of Website Personalization on User Intention to Return through Cognitive Beliefs and Affective Reactions
8
20 160

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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