Shengnan Wang

690 total citations
33 papers, 510 citations indexed

About

Shengnan Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomaterials. According to data from OpenAlex, Shengnan Wang has authored 33 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Biomaterials. Recurrent topics in Shengnan Wang's work include Calcium Carbonate Crystallization and Inhibition (6 papers), Video Surveillance and Tracking Methods (5 papers) and Optimization and Variational Analysis (4 papers). Shengnan Wang is often cited by papers focused on Calcium Carbonate Crystallization and Inhibition (6 papers), Video Surveillance and Tracking Methods (5 papers) and Optimization and Variational Analysis (4 papers). Shengnan Wang collaborates with scholars based in China, Canada and Taiwan. Shengnan Wang's co-authors include Shuzhi Sam Ge, Guoxing Wen, Fangwen Tu, C. L. Philip Chen, Chunguang Li, Cheng‐Liang Chen, Hui‐Liang Shen, Xiaoxiang Wang, Rizhi Wang and Xiaohui Yan and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, Fuzzy Sets and Systems and IEEE Transactions on Cybernetics.

In The Last Decade

Shengnan Wang

31 papers receiving 501 citations

Peers

Shengnan Wang
Comparison fields: 5 of 86
  • Control and Systems Engineering 187
  • Computational Theory and Mathematics 139
  • Artificial Intelligence 124
  • Computer Networks and Communications 100
  • Computer Vision and Pattern Recognition 73
Meera Sitharam United States
Tong Zhou China
Brigitte Servatius United States
Samir Bendoukha Saudi Arabia
Dehua Zhang China
Sergey Dashkovskiy Germany
Vishwesh Kulkarni United States
Bin Du China
Yu Shao China
Yue Qiu China
Meera Sitharam United States View profile →
Citations per field, relative to Shengnan Wang
Shengnan Wang · 1×
Citations per year, relative to Shengnan Wang
Shengnan Wang · 1×

Countries citing papers authored by Shengnan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shengnan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengnan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shengnan Wang. A scholar is included among the top collaborators of Shengnan 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 Shengnan Wang. Shengnan 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 1
2 3
3 15
4 2
5 8
6 24
7 9
8 195
9 25
10 5
11 21
12 1
13 31
14
VISCOSITY APPROXIMATION METHOD FOR THE SPLIT COMMON FIXED POINT PROBLEM OF QUASI-STRICT PSEUDO-CONTRACTIONS WITHOUT PRIOR KNOWLEDGE OF OPERATOR NORMS
2
15 11
16 15
17 8
18 21
19 4
20 22

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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