Sheng‐De Wang

3.5k citations
128 papers · 2.7k · 1 hit paper · h-index 20

Impact in

Papers in

Sheng‐De Wang

115 papers receiving 2.6k citations

Sheng‐De Wang's Hit Papers

Fuzzy support vector machines 2002 · 1.2k citations
1.2k0+8+16Years since publication4008001.2k

Peers

Sheng‐De Wang
Comparison fields: 5 of 157
  • Computer Vision and Pattern Recognition 842
  • Artificial Intelligence 1.1k
  • Signal Processing 341
  • Hardware and Architecture 167
  • Computer Networks and Communications 500
Replace H. S. Behera with:
H. S. Behera India
Marc Parizeau Canada
Crina Groşan Romania
M. N. S. Swamy Canada
Yuehui Chen China
Li Zhang China
Edwin K. P. Chong United States
Yoshiyasu Takefuji Japan
A. Prieto Spain
Bo Li China
Sheng‐De Wang relative to H. S. Behera India H. S. Behera's profile →
Citations per field
00.5×1.5×2×2.3×
H. S. Behera · 1×
Citations per year

Countries citing papers authored by Sheng‐De Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sheng‐De Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sheng‐De Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sheng‐De Wang Line = papers co-authored together Sheng‐De Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fuzzy support vector machines
Hit paper breakdown →
20021210
2 2008174
3 1999138
4 199797
5 201867
6 199959
7 199756
8 200045
9 201540
10 201033
11 201432
12 200332
13 200031
14 200530
15 201926
16 201326
17 201320
18 199920
19 200319
20 201319

About Sheng‐De Wang

Sheng‐De Wang is a scholar working on Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 128 papers that have together received 2.7k indexed citations. Recurring topics across this work include Interconnection Networks and Systems (25 papers), Parallel Computing and Optimization Techniques (21 papers), Neural Networks and Applications (13 papers), Distributed and Parallel Computing Systems (13 papers), Embedded Systems Design Techniques (11 papers), Face and Expression Recognition (10 papers), Fuzzy Logic and Control Systems (10 papers) and Distributed systems and fault tolerance (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (842 citations), Artificial Intelligence (1.1k citations), Signal Processing (341 citations), Hardware and Architecture (167 citations) and Computer Networks and Communications (500 citations). Sheng‐De Wang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Kuo-Ping Wu, Tai-Ning Yang, Chuan-Kai Lin, Wei‐Chi Ku, Tzer‐Shyong Chen, Chien‐Chi Chen, Yen‐Cheng Liu, Yu‐Fang Chung, Seu‐Mei Wang and Chia‐Hui Liu. Their work appears in journals such as Fuzzy Sets and Systems, IEEE Access, IEEE Transactions on Parallel and Distributed Systems, Pattern Recognition Letters and Electronics 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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