Meng Joo Er

1.5k citations
17 papers · 1.1k indexed · 1 hit paper · h-index 8
Topics
Neural Networks and Applications (9 papers)Face and Expression Recognition (7 papers)Fuzzy Logic and Control Systems (7 papers)
Partner nations
SingaporeChinaCanada

In The Last Decade

Meng Joo Er

16 papers receiving 1.0k citations

Hit Papers

Face recognition with radial basis function (RBF) neural ...20022026201020182002100200300400

Peers

Meng Joo Er
Comparison fields: 5 of 100
  • Artificial Intelligence 537
  • Control and Systems Engineering 364
  • Computer Vision and Pattern Recognition 343
  • Signal Processing 110
  • Electrical and Electronic Engineering 61
Replace Gérard Bloch with:
Gérard Bloch France
Tsung-Ying Sun Taiwan
Fabien Lauer France
Yacine Oussar France
Ulrich Kreßel Germany
Shuang Feng China
Hai-Jun Rong China
Tamer Ölmez Türkiye
Houjun Wang China
Dit-Yan Yeung Hong Kong
Meng Joo Er relative to Gérard Bloch France Gérard Bloch's profile →
Citations per field
00.5×2.6×
Gérard Bloch · 1×
Citations per year

Countries citing papers authored by Meng Joo Er

Since Specialization
Citations

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

Fields of papers citing papers by Meng Joo Er

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng Joo Er. 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 Meng Joo Er. The network helps show where Meng Joo Er may publish in the future.

Co-authorship network of co-authors of Meng Joo Er

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Joo Er. A scholar is included among the top collaborators of Meng Joo Er 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 Meng Joo Er. Meng Joo Er is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 14
2 3
3 7
4 1
5 0
6 5
7 7
8 2
9 5
10 2
11 1
12 151
13 13
14
Face recognition with radial basis function (RBF) neural networksbreakdown →
478
15 6
16 30
17 344

About Meng Joo Er

Meng Joo Er is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Face and Expression Recognition (7 papers) and Fuzzy Logic and Control Systems (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (343 citations), Artificial Intelligence (537 citations) and Control and Systems Engineering (364 citations). Meng Joo Er has collaborated with scholars based in Singapore, China and Canada. Frequent co-authors include Shiqian Wu, Juwei Lu, Yang Gao, Song Yang, Zhichao Lian, Yi Zhou, Yanchun Liang and Yang Cong. Their work appears in journals such as Cell Metabolism, IEEE Transactions on Industrial Electronics and Pattern Recognition.

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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