Shulin Wang

6.0k total citations · 2 hit papers
112 papers, 4.3k citations indexed

About

Shulin Wang is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Shulin Wang has authored 112 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 15 papers in Cancer Research and 11 papers in Artificial Intelligence. Recurrent topics in Shulin Wang's work include Gene expression and cancer classification (18 papers), Bioinformatics and Genomic Networks (15 papers) and Machine Learning in Bioinformatics (12 papers). Shulin Wang is often cited by papers focused on Gene expression and cancer classification (18 papers), Bioinformatics and Genomic Networks (15 papers) and Machine Learning in Bioinformatics (12 papers). Shulin Wang collaborates with scholars based in China, United States and Taiwan. Shulin Wang's co-authors include Wafik S. El‐Deiry, Jiawei Luo, Sheng Yang, Jie Cai, Chunyi Wu, Li Wen, De-Shuang Huang, Jie Gui, Shanwen Zhang and Jiayou Ji and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Shulin Wang

109 papers receiving 4.2k citations

Hit Papers

Feature selection in machine ... 2003 2026 2010 2018 2018 2003 400 800 1.2k

Peers

Shulin Wang
Comparison fields: 5 of 200
  • Molecular Biology 1.8k
  • Artificial Intelligence 692
  • Cancer Research 405
  • Oncology 387
  • Immunology 386
Replace George Michailidis with:
George Michailidis United States
Ming Hao United States
Cesare Furlanello Italy
Ting Chen China
Riccardo Bellazzi Italy
Y-H. Chen Taiwan
Yuhong Liu China
Bin Zhou China
Yanda Li China
George Michailidis United States View profile →
Citations per field, relative to Shulin Wang
Shulin Wang · 1×
Citations per year, relative to Shulin Wang
Shulin Wang · 1×

Countries citing papers authored by Shulin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shulin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shulin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shulin Wang. A scholar is included among the top collaborators of Shulin 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 Shulin Wang. Shulin 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 6
2 0
3 1
4 0
5 119
6 5
7 33
8
Design and experiment of bed former for vegetable production.
1
9 32
10 10
11 6
12 29
13 6
14 75
15
Computer viruses detection based on ensemble neural network
4
16 6
17 52
18
Application of Wavelet Transform in Signal Denoise
1
19 86
20
Research and design of a multi-level interpretation expert system
1

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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