Fangyan Dong

2.8k total citations · 1 hit paper
102 papers, 2.1k citations indexed

About

Fangyan Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Fangyan Dong has authored 102 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 15 papers in Computational Theory and Mathematics. Recurrent topics in Fangyan Dong's work include Quantum Computing Algorithms and Architecture (16 papers), Quantum Information and Cryptography (15 papers) and Quantum-Dot Cellular Automata (8 papers). Fangyan Dong is often cited by papers focused on Quantum Computing Algorithms and Architecture (16 papers), Quantum Information and Cryptography (15 papers) and Quantum-Dot Cellular Automata (8 papers). Fangyan Dong collaborates with scholars based in Japan, China and Saudi Arabia. Fangyan Dong's co-authors include Kaoru Hirota, Phuc Q. Le, Abdullah M. Iliyasu, Fei Yan, Bo Sun, Kaoru Hirota, Luefeng Chen, Min Wu, Zhentao Liu and Chastine Fatichah and has published in prestigious journals such as Sensors, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Fangyan Dong

87 papers receiving 1.9k citations

Hit Papers

A flexible representation of quantum images for polynomia... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fangyan Dong Japan 20 1.7k 753 547 280 110 102 2.1k
Dan Ventura United States 19 692 0.4× 110 0.1× 285 0.5× 44 0.2× 151 1.4× 129 1.2k
David S. L. Wei United States 29 978 0.6× 86 0.1× 186 0.3× 99 0.4× 677 6.2× 146 2.7k
Yuewei Dai China 21 668 0.4× 42 0.1× 1.0k 1.9× 264 0.9× 115 1.0× 134 1.9k
Harry G. Barrow United States 13 199 0.1× 123 0.2× 1.1k 2.1× 135 0.5× 85 0.8× 19 1.6k
Ja‐Ling Wu Taiwan 30 514 0.3× 128 0.2× 3.2k 5.8× 47 0.2× 248 2.3× 279 3.9k
Marek Perkowski United States 30 2.2k 1.3× 2.0k 2.7× 76 0.1× 186 0.7× 1.1k 10.4× 280 3.4k
Audrūnas Gruslys United Kingdom 9 755 0.5× 111 0.1× 153 0.3× 130 0.5× 106 1.0× 13 1.2k
Wu Li China 19 126 0.1× 492 0.7× 118 0.2× 59 0.2× 31 0.3× 80 1.3k
Weng‐Fai Wong Singapore 29 476 0.3× 248 0.3× 192 0.4× 110 0.4× 984 8.9× 182 2.8k
D. Raj Reddy United States 6 631 0.4× 64 0.1× 351 0.6× 40 0.1× 28 0.3× 8 1.2k

Countries citing papers authored by Fangyan Dong

Since Specialization
Citations

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

Fields of papers citing papers by Fangyan Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangyan Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Fangyan Dong. A scholar is included among the top collaborators of Fangyan Dong 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 Fangyan Dong. Fangyan Dong 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
1.
Dong, Fangyan, et al.. (2024). Dynamic job shop scheduling performance evaluation based on green intelligent manufacturing and thermal efficiency improvement. Thermal Science and Engineering Progress. 53. 102785–102785. 1 indexed citations
2.
Dong, Fangyan, et al.. (2015). Fuzzy Set Representation of Kansei Texture and its Visualization for Online Shopping. Journal of Advanced Computational Intelligence and Intelligent Informatics. 19(2). 284–292. 3 indexed citations
3.
Dong, Fangyan, et al.. (2015). Deep Level Emotion Understanding Using Customized Knowledge for Human-Robot Communication. Journal of Advanced Computational Intelligence and Intelligent Informatics. 19(1). 91–99. 4 indexed citations
4.
Fatichah, Chastine, et al.. (2014). Dental Numbering for Periapical Radiograph Based on Multiple Fuzzy Attribute Approach. Journal of Advanced Computational Intelligence and Intelligent Informatics. 18(3). 253–261. 4 indexed citations
5.
Yan, Fei, et al.. (2014). Segmented Wavelet Decomposition for Capnogram Feature Extraction in Asthma Classification. Journal of Advanced Computational Intelligence and Intelligent Informatics. 18(4). 480–488. 11 indexed citations
6.
Lu, Jiajun, Fangyan Dong, & Kaoru Hirota. (2013). Gradient-Related Non-Photorealistic Rendering for High Dynamic Range Images. Journal of Advanced Computational Intelligence and Intelligent Informatics. 17(4). 628–636. 1 indexed citations
7.
Chen, Luefeng, Zhentao Liu, Fangyan Dong, et al.. (2013). Adapting Multi-Robot Behavior to Communication Atmosphere in Humans-Robots Interaction Using Fuzzy Production Rule Based Friend-Q Learning. Journal of Advanced Computational Intelligence and Intelligent Informatics. 17(2). 291–301. 8 indexed citations
8.
Bašić, Bojana Dalbelo, et al.. (2012). GPS Data-based Non-parametric Regression for Predicting Travel Times in Urban Traffic Networks. PROMET - Traffic&Transportation. 22(1). 1–13. 13 indexed citations
9.
Yan, Fei, et al.. (2012). Quantum Image Searching Based on Probability Distributions. 2(3). 55–60. 22 indexed citations
10.
Fatichah, Chastine, et al.. (2012). Multiscale Image Aggregation for Dental Radiograph Segmentation. Journal of Advanced Computational Intelligence and Intelligent Informatics. 16(3). 388–396. 4 indexed citations
11.
Kormushev, Petar, et al.. (2009). Time manipulation technique for speeding up reinforcement learning in simulations. ArXiv.org. 2 indexed citations
12.
Dong, Fangyan, et al.. (2009). DCT Domain Features Based Image Index. Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 21(6). 1092–1102.
13.
Dong, Fangyan, et al.. (2008). Hyperbox Classifier with Ant Colony Optimization. 2008. 1714–1718.
14.
Arai, Yoshinori, et al.. (2008). A Speaker Identification Method based on Trapezoid Fuzzy Similarity. IEICE Technical Report; IEICE Tech. Rep.. 107(548). 7–10. 1 indexed citations
15.
Yamazaki, Yoichi, et al.. (2008). Fuzzy Inference based Mentality Expression for Eye Robot in Affinity Pleasure-Arousal Space. Journal of Advanced Computational Intelligence and Intelligent Informatics. 12(3). 304–313. 19 indexed citations
16.
Dong, Fangyan, et al.. (2007). A Multidirectional Multiresolution Transform for Image Representation. 한국지능시스템학회 국제학술대회 발표논문집. 227–231. 1 indexed citations
17.
Dong, Fangyan, et al.. (2007). Graph/Knot Theoretical Analysis and Generation for Impossible Figures. Journal of Advanced Computational Intelligence and Intelligent Informatics. 11(10). 1262–1273.
18.
Yamazaki, Yoichi, et al.. (2006). Mentality Expression in Affinity Pleasure-Arousal Space using Ocular and Eyelid Motion of Eye Robot. 2006. 422–425. 5 indexed citations
19.
Watanabe, Makoto, Hajime Nobuhara, Kazuhiko Kawamoto, Fangyan Dong, & Kaoru Hirota. (2006). Chain Restaurant Work Scheduling Based on Genetic Algorithm with Fuzzy Logic. Journal of Advanced Computational Intelligence and Intelligent Informatics. 10(1). 50–59. 3 indexed citations
20.
Hirota, Kaoru, et al.. (2005). Agent Based Approach to Real-World Truck Dispatch and Delivery Problem. 한국지능시스템학회 국제학술대회 발표논문집. 19–19. 1 indexed citations

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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