C. S.

827 citations
71 papers · 507 · h-index 12

Impact in

Papers in

C. S.

61 papers receiving 476 citations

Peers

C. S.
Comparison fields: 5 of 94
  • Signal Processing 117
  • Computer Networks and Communications 211
  • Artificial Intelligence 176
  • Computer Vision and Pattern Recognition 91
  • Electrical and Electronic Engineering 144
Replace Tri Gia Nguyen with:
Tri Gia Nguyen Vietnam
Qiao Tian China
Muhammad Ahsan Latif Pakistan
Ziyi Zhang China
Debashri Roy United States
Lisa Ann Osadciw United States
Takuro Sato Japan
Chang Zhou China
Muhammad Reazul Haque Malaysia
Limin Zhang China
C. S. relative to Tri Gia Nguyen Vietnam Tri Gia Nguyen's profile →
Citations per field
00.5×6.7×
Tri Gia Nguyen · 1×
Citations per year

Countries citing papers authored by C. S.

Since Specialization
Citations

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

Fields of papers citing papers by C. S.

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside C. S., 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 C. S. Line = papers co-authored together C. S. links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201975
2 202046
3 201542
4 201430
5
Comparative analysis of Bayesian regularization and Levenberg-Marquardt training algorithm for localization in wireless sensor network
201330
6 201622
7 201620
8 200619
9 200915
10 201912
11 200812
12 202211
13 20169
14 20169
15 20199
16 20248
17 20218
18 20148
19 20217
20 20156

About C. S.

C. S. is a scholar working on Computer Networks and Communications, Signal Processing, Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 507 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (19 papers), Advanced Adaptive Filtering Techniques (15 papers), Neural Networks and Applications (10 papers), Speech and Audio Processing (9 papers), Face and Expression Recognition (7 papers), Network Security and Intrusion Detection (7 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Indoor and Outdoor Localization Technologies (7 papers). The work is most often cited by research in Signal Processing (117 citations), Computer Networks and Communications (211 citations), Artificial Intelligence (176 citations), Computer Vision and Pattern Recognition (91 citations) and Electrical and Electronic Engineering (144 citations). C. S. has collaborated with scholars based in India, Cyprus and Hong Kong. Frequent co-authors include Bhoopesh Singh Bhati, B. V. R. Reddy, Ashish Payal, Dinesh Kumar, Fadi Al‐Turjman, Balamurugan Balusamy, Dibyabhaba Pradhan, Arun K. Jain, S. S. Kumar and Aashish Kumar. Their work appears in journals such as Wireless Personal Communications, Neurocomputing, PLoS ONE, Scientific Reports and Journal of Multimedia.

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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