J.J. Choi

556 citations
20 papers · 335 · h-index 10

Impact in

    • Neural Networks and Applications
    • Machine Learning and Algorithms
    • Fuzzy Logic and Control Systems
    • Machine Learning and Data Classification
    • Anomaly Detection Techniques and Applications
    • Metaheuristic Optimization Algorithms Research
    • Blind Source Separation Techniques

Papers in

    • Neural Networks and Applications 15
    • Fuzzy Logic and Control Systems 7
    • Target Tracking and Data Fusion in Sensor Networks 4
    • Machine Learning and Algorithms 4
    • Machine Learning and ELM 3
    • Fault Detection and Control Systems 5

J.J. Choi

20 papers receiving 314 citations

Peers

J.J. Choi
Comparison fields: 5 of 53
  • Artificial Intelligence 246
  • Signal Processing 46
  • Control and Systems Engineering 95
  • Computer Vision and Pattern Recognition 36
  • Computer Networks and Communications 33
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Ayan Acharya United States
Fun Ye Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by J.J. Choi

Since Specialization
Citations

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

Fields of papers citing papers by J.J. Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside J.J. Choi, 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 J.J. Choi Line = papers co-authored together J.J. Choi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1991107
2 200334
3 200530
4 200330
5 199622
6 199917
7 200217
8 199014
9 199112
10 19979
11 20038
12 20038
13 20037
14 20045
15 20024
16 20023
17 20033
18 20232
19 20032
20 20261

About J.J. Choi

J.J. Choi is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Signal Processing and Mechanical Engineering, having authored 20 papers that have together received 335 indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Fuzzy Logic and Control Systems (7 papers), Fault Detection and Control Systems (5 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Machine Learning and Algorithms (4 papers), Face and Expression Recognition (3 papers), Blind Source Separation Techniques (3 papers) and Machine Learning and ELM (3 papers). The work is most often cited by research in Artificial Intelligence (246 citations), Signal Processing (46 citations), Control and Systems Engineering (95 citations), Computer Vision and Pattern Recognition (36 citations) and Computer Networks and Communications (33 citations). J.J. Choi has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Robert J. Marks, Sung‐Kwun Oh, Jenq–Neng Hwang, Payman Arabshahi, Thomas P. Caudell, M.A. El-Sharkawi, B.B. Thompson, Tet Yeap, Martin Bouchard and John Vian. Their work appears in journals such as European J of Industrial Engineering, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), IEEE Transactions on Neural Networks and IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing.

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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