Jeen-Shing Wang

2.9k citations
70 papers · 2.4k · h-index 22

Impact in

Papers in

Jeen-Shing Wang

66 papers receiving 2.2k citations

Peers

Jeen-Shing Wang
Comparison fields: 5 of 121
  • Human-Computer Interaction 326
  • Computer Vision and Pattern Recognition 800
  • Cognitive Neuroscience 490
  • Signal Processing 275
  • Artificial Intelligence 688
Replace Wenbing Zhao with:
Wenbing Zhao United States
Raffaele Gravina Italy
G. C. Nandi India
Balakrishnan Prabhakaran United States
Steven W. Su Australia
Hubert P. H. Shum United Kingdom
Zhelong Wang China
Debi Prosad Dogra India
Hassan Ghasemzadeh United States
Hugo Gambôa Portugal
Jeen-Shing Wang relative to Wenbing Zhao United States Wenbing Zhao's profile →
Citations per field
00.5×1.6×
Wenbing Zhao · 1×
Citations per year

Countries citing papers authored by Jeen-Shing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jeen-Shing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeen-Shing 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 Jeen-Shing Wang Line = papers co-authored together Jeen-Shing Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008295
2 2012250
3 2002231
4 2017175
5 2003145
6 2011131
7 201490
8 201280
9 200880
10 201075
11 200868
12 201768
13 200962
14 200860
15 200756
16 201236
17 200833
18 200930
19 201225
20 201523

About Jeen-Shing Wang

Jeen-Shing Wang is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Signal Processing and Biomedical Engineering, having authored 70 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (17 papers), Fuzzy Logic and Control Systems (14 papers), Advanced Clustering Algorithms Research (10 papers), Non-Invasive Vital Sign Monitoring (9 papers), EEG and Brain-Computer Interfaces (9 papers), Context-Aware Activity Recognition Systems (7 papers), Adaptive Control of Nonlinear Systems (6 papers) and Indoor and Outdoor Localization Technologies (6 papers). The work is most often cited by research in Human-Computer Interaction (326 citations), Computer Vision and Pattern Recognition (800 citations), Cognitive Neuroscience (490 citations), Signal Processing (275 citations) and Artificial Intelligence (688 citations). Jeen-Shing Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yu‐Liang Hsu, C.S.G. Lee, Yen-Ping Chen, Che‐Wei Lin, Yating Yang, Chung‐Yao Hsu, Gwo‐Yun Lee, Yi‐Ju Tsai, Shihong Yue and Che‐Wei Chang. Their work appears in journals such as Pattern Recognition Letters, IEEE Sensors Journal, IEEE Transactions on Industrial Electronics, IEEE Transactions on Fuzzy Systems and Soft 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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