Sheng‐De Wang

3.5k citations
126 papers · 2.5k · 1 hit paper · h-index 19

Impact in

Papers in

Sheng‐De Wang

115 papers receiving 2.3k citations

Hit Papers

Fuzzy support vector machines 2002 · 1.1k citations
1.1k0+8+16Years since publication2505007501000

Peers

Sheng‐De Wang
Comparison fields: 5 of 156
  • Computer Vision and Pattern Recognition 756
  • Artificial Intelligence 945
  • Signal Processing 310
  • Hardware and Architecture 151
  • Computer Networks and Communications 464
Replace H. S. Behera with:
H. S. Behera India
Maozhen Li United Kingdom
Yuehui Chen China
Chao Zhang China
Xinhong Hei China
Bo Li China
Celal Öztürk Türkiye
Yoshiyasu Takefuji Japan
Chilukuri K. Mohan United States
Shirish Shevade India
Sheng‐De Wang relative to H. S. Behera India H. S. Behera's profile →
Citations per field
00.5×1.5×2.2×
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 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fuzzy support vector machines
Hit paper breakdown →
20021087
2 2008172
3 1999123
4 199795
5 201861
6 199954
7 199750
8 200043
9 201537
10 200331
11 201430
12 200530
13 200727
14 201326
15 201026
16 200026
17 201923
18 199920
19 201319
20 201318

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 126 papers that have together received 2.5k indexed citations. Recurring topics across this work include Interconnection Networks and Systems (24 papers), Parallel Computing and Optimization Techniques (20 papers), Distributed and Parallel Computing Systems (13 papers), Neural Networks and Applications (12 papers), Fuzzy Logic and Control Systems (10 papers), Embedded Systems Design Techniques (10 papers), Face and Expression Recognition (9 papers) and Network Security and Intrusion Detection (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (756 citations), Artificial Intelligence (945 citations), Signal Processing (310 citations), Hardware and Architecture (151 citations) and Computer Networks and Communications (464 citations). Sheng‐De Wang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Kuo-Ping Wu, Chuan-Kai Lin, Tai-Ning Yang, Wei‐Chi Ku, Tzer‐Shyong Chen, Chien‐Chi Chen, Yu‐Sen Peng, Yu-Chiang Frank Wang, Seu‐Mei Wang and Yen‐Cheng 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 Parallel Computing.

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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