Shengnan Wu

2.7k citations
50 papers · 2.3k indexed · h-index 23
Topics
Advanced Fiber Optic Sensors (18 papers)Photonic and Optical Devices (12 papers)Nanoplatforms for cancer theranostics (6 papers)
Partner nations
ChinaUnited StatesSweden

In The Last Decade

Shengnan Wu

48 papers receiving 2.2k citations

Peers

Shengnan Wu
Comparison fields: 5 of 129
  • Molecular Biology 984
  • Biomedical Engineering 654
  • Electrical and Electronic Engineering 495
  • Materials Chemistry 271
  • Epidemiology 237
Replace Arun Ramachandran with:
Arun Ramachandran Canada
Natalia Malara Italy
Zhen Zheng China
Livia C. Hool Australia
Sungmun Lee United Arab Emirates
Ekhson Holmuhamedov United States
Hye Sun Park South Korea
Kae Nakamura Japan
Chuanyu Li China
Jennie Sturgis United States
Shengnan Wu relative to Arun Ramachandran Canada Arun Ramachandran's profile →
Citations per field
00.5×3.5×
Arun Ramachandran · 1×
Citations per year

Countries citing papers authored by Shengnan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shengnan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengnan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shengnan Wu. A scholar is included among the top collaborators of Shengnan Wu 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 Shengnan Wu. Shengnan Wu 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 4
2 0
3 5
4 7
5 5
6 18
7 10
8 50
9 61
10 16
11 104
12 77
13
Rapid Determination of Talc-containing Flour Based on BP Neural Network
1
14 82
15 168
16 138
17 365
18 37
19 22
20
Study of the virtual machine design laboratory based on VRML technology
1

About Shengnan Wu

Shengnan Wu is a scholar working on Clinical Biochemistry, Electrical and Electronic Engineering and Behavioral Neuroscience, having authored 50 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (18 papers), Photonic and Optical Devices (12 papers) and Nanoplatforms for cancer theranostics (6 papers). The work is most often cited by research in Biomedical Engineering (654 citations), Molecular Biology (984 citations) and Clinical Biochemistry (92 citations). Shengnan Wu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Da Xing, Feifan Zhou, Zhenzhen Zhang, Wei R. Chen, Sailing He, Bin Zhou, Baoyan Wu, Guofeng Yan, Zhenggang Lian and Qilong Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Nano Letters.

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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