Rung-Ching Chen
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Media Technology top 1%
- Vehicle License Plate Recognition
Papers in
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- Advanced Neural Network Applications 28
- Face and Expression Recognition 11
- Advanced Image and Video Retrieval Techniques 9
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- Vehicle License Plate Recognition 19
- Co-authors
- Christine DewiRezzy Eko CarakaSu-Wen HuangHendry HendryHui YuXiaoyi JiangShao-Kuo TaiYanting Liu
In The Last Decade
Rung-Ching Chen
171 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Computer Vision and Pattern Recognition 979
- Media Technology 383
- Transportation 238
- Health Information Management 144
- Human-Computer Interaction 151
Countries citing papers authored by Rung-Ching Chen
This map shows the geographic impact of Rung-Ching Chen'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 Rung-Ching Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rung-Ching Chen more than expected).
Fields of papers citing papers by Rung-Ching Chen
This network shows the impact of papers produced by Rung-Ching Chen. 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 Rung-Ching Chen. The network helps show where Rung-Ching Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rung-Ching Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 28 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 28 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 78 | |
| 13 | Indonesia in facing new normal: An evidence hybrid forecasting of covid-19 cases using mlp, nnar and elm | 2021 | 3 |
| 14 | 2021 | 133 | |
| 15 | 2021 | 37 | |
| 16 | 2020 | 48 | |
| 17 | 2020 | 61 | |
| 18 | 2020 | 56 | |
| 19 | Selecting critical features for data classification based on machine learning methods Hit paper breakdown → | 2020 | 590 |
| 20 | Integrating Real-Time Weather Forecasts Data Using OpenWeatherMap and Twitter | 2019 | 9 |
About Rung-Ching Chen
Rung-Ching Chen is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Human-Computer Interaction, Artificial Intelligence and Signal Processing, having authored 187 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (28 papers), Vehicle License Plate Recognition (19 papers), Semantic Web and Ontologies (15 papers), Face and Expression Recognition (11 papers), Recommender Systems and Techniques (11 papers), Infrastructure Maintenance and Monitoring (10 papers), Biomedical Text Mining and Ontologies (9 papers) and Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (979 citations), Media Technology (383 citations), Transportation (238 citations), Health Information Management (144 citations) and Human-Computer Interaction (151 citations). Rung-Ching Chen has collaborated with scholars based in Taiwan, Indonesia and China. Frequent co-authors include Christine Dewi, Rezzy Eko Caraka, Su-Wen Huang, Hendry Hendry, Hui Yu, Xiaoyi Jiang, Shao-Kuo Tai, Yanting Liu, Cho-Tsan Bau and Chia-Fen Hsieh. Their work appears in journals such as IEEE Access, Applied Sciences, Multimedia Tools and Applications, Journal of Ambient Intelligence and Humanized Computing and Big Data and Cognitive 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.