Chin Kim On

45 papers receiving 391 citations

Peers

Chin Kim On
Comparison fields: 5 of 82
  • Artificial Intelligence 210
  • Management Science and Operations Research 90
  • Computer Vision and Pattern Recognition 72
  • Information Systems 54
  • Electrical and Electronic Engineering 54
Replace Jianbing Xiahou with:
Jianbing Xiahou China
Sashank Sridhar India
Hamzah Ali Alkhazaleh United Arab Emirates
Tirath Prasad Sahu India
Νικόλαος Κωνσταντίνου Greece
Rainer Wasinger Australia
Kamruddin Nur Bangladesh
Marc Esteva Spain
Jiakai Tang China
Chin Kim On relative to Jianbing Xiahou China Jianbing Xiahou's profile →
Citations per field
00.5×4.5×
Jianbing Xiahou · 1×
Citations per year

Countries citing papers authored by Chin Kim On

Since Specialization
Citations

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

Fields of papers citing papers by Chin Kim On

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin Kim On. 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 Chin Kim On. The network helps show where Chin Kim On may publish in the future.

Co-authorship network of co-authors of Chin Kim On

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 16
5 1
6 4
7
A Review of Automatic License Plate Recognition System in Mobile based Platform
10
8
A CIMB Stock Price Prediction Case Study with Feedforward Neural Network and Recurrent Neural Network
7
9 1
10
External constraints of neural cognition for CIMB stock closing price prediction
5
11 2
12 7
13 3
14 26
15 10
16 4
17 0
18 7
19 5
20 2

About Chin Kim On

Chin Kim On is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 423 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (11 papers), Artificial Intelligence in Games (11 papers) and Metaheuristic Optimization Algorithms Research (9 papers). The work is most often cited by research in Management Science and Operations Research (90 citations), Artificial Intelligence (210 citations) and Signal Processing (45 citations). Chin Kim On has collaborated with scholars based in Malaysia, New Zealand and China. Frequent co-authors include Rayner Alfred, Patricia Anthony, Jason Teo, Azali Saudi, Sazali Yaacob, Ervin Gubin Moung, Mohd Hanafi Ahmad Hijazi, Jamal Ahmad Dargham, Abdul Razak Hamdan and Dawei Wang. Their work appears in journals such as International Journal of Interactive Mobile Technologies (iJIM), Jurnal Teknologi and International Journal on Advanced Science Engineering and Information Technology.

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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