Hamido Fujita

29.4k total citations · 16 hit papers
439 papers, 22.6k citations indexed

About

Hamido Fujita is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Hamido Fujita has authored 439 papers receiving a total of 22.6k indexed citations (citations by other indexed papers that have themselves been cited), including 198 papers in Artificial Intelligence, 110 papers in Computational Theory and Mathematics and 94 papers in Information Systems. Recurrent topics in Hamido Fujita's work include Rough Sets and Fuzzy Logic (97 papers), Data Mining Algorithms and Applications (60 papers) and Multi-Criteria Decision Making (54 papers). Hamido Fujita is often cited by papers focused on Rough Sets and Fuzzy Logic (97 papers), Data Mining Algorithms and Applications (60 papers) and Multi-Criteria Decision Making (54 papers). Hamido Fujita collaborates with scholars based in Japan, China and Spain. Hamido Fujita's co-authors include U. Rajendra Acharya, Jen Hong Tan, Enrique Herrera‐Viedma, Francisco Chiclana, Tianrui Li, Muhammad Adam, Yuki Hagiwara, Jian Wu, Shu Lih Oh and Zeshui Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Industrial Electronics.

In The Last Decade

Hamido Fujita

424 papers receiving 22.1k citations

Hit Papers

Application of deep convolutional neural network for auto... 2015 2026 2018 2022 2017 2017 2018 2019 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamido Fujita Japan 82 9.0k 4.7k 4.5k 3.6k 3.0k 439 22.6k
Ron Kohavi United States 36 9.6k 1.1× 1.7k 0.4× 1.2k 0.3× 4.2k 1.1× 381 0.1× 66 21.8k
Salvador García Spain 55 19.6k 2.2× 4.3k 0.9× 1.5k 0.3× 3.1k 0.9× 257 0.1× 175 29.1k
Yoav Freund United States 35 15.8k 1.7× 1.4k 0.3× 2.9k 0.6× 2.9k 0.8× 312 0.1× 89 31.0k
Alex Graves United States 26 18.2k 2.0× 1.5k 0.3× 1.6k 0.4× 1.9k 0.5× 336 0.1× 40 36.5k
Riccardo Poli United Kingdom 38 10.0k 1.1× 3.6k 0.8× 942 0.2× 911 0.3× 320 0.1× 252 23.3k
Charles Beattie United States 27 7.6k 0.8× 1.2k 0.3× 909 0.2× 946 0.3× 1.4k 0.5× 75 20.5k
Ioannis Antonoglou United Kingdom 6 15.6k 1.7× 2.5k 0.5× 1.8k 0.4× 1.6k 0.4× 142 0.0× 6 32.8k
Amir H. Gandomi Australia 92 18.9k 2.1× 8.2k 1.8× 1.6k 0.4× 2.2k 0.6× 233 0.1× 610 43.7k
Aboul Ella Hassanien Egypt 69 8.0k 0.9× 2.2k 0.5× 656 0.1× 1.7k 0.5× 264 0.1× 669 19.5k
Saeid Nahavandi Australia 75 6.0k 0.7× 649 0.1× 1.1k 0.2× 663 0.2× 736 0.2× 889 26.1k

Countries citing papers authored by Hamido Fujita

Since Specialization
Citations

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

Fields of papers citing papers by Hamido Fujita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamido Fujita

This figure shows the co-authorship network connecting the top 25 collaborators of Hamido Fujita. A scholar is included among the top collaborators of Hamido Fujita 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 Hamido Fujita. Hamido Fujita 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
2.
Cai, Mingjie, et al.. (2024). Connection density based clustering: A graph-based density clustering method. Applied Soft Computing. 161. 111779–111779. 2 indexed citations
3.
Liu, Zeyi, Tao Wen, Yong Deng, & Hamido Fujita. (2024). Game-Theoretic Expert Importance Evaluation Model Guided by Cooperation Effects for Social Network Group Decision Making. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(4). 2749–2761. 5 indexed citations
4.
Cimr, Dalibor, et al.. (2023). Enhancing EEG signal analysis with geometry invariants for multichannel fusion. Information Fusion. 102. 102023–102023. 6 indexed citations
5.
Wang, Sha, Jian Wu, Francisco Chiclana, Feixia Ji, & Hamido Fujita. (2023). Global feedback mechanism by explicit and implicit power for group consensus in social network. Information Fusion. 104. 102205–102205. 34 indexed citations
6.
Kim, Hanju, et al.. (2023). Efficient approach of high average utility pattern mining with indexed list-based structure in dynamic environments. Information Sciences. 657. 119924–119924. 23 indexed citations
7.
Selamat, Ali, Ondřej Krejcar, Farhan Mohamed, et al.. (2022). Imbalanced Classification Methods for Student Grade Prediction: A Systematic Literature Review. IEEE Access. 11. 1970–1989. 21 indexed citations
8.
Selamat, Ali, et al.. (2022). Deep Learning for Phishing Detection: Taxonomy, Current Challenges and Future Directions. IEEE Access. 10. 36429–36463. 97 indexed citations
9.
Catelli, Rosario, Hamido Fujita, Giuseppe De Pietro, & Massimo Esposito. (2022). Deceptive reviews and sentiment polarity: Effective link by exploiting BERT. Expert Systems with Applications. 209. 118290–118290. 24 indexed citations
10.
Fujita, Hamido, et al.. (2021). Multiple-objective optimization applied in extracting multiple-choice tests. Engineering Applications of Artificial Intelligence. 105. 104439–104439. 8 indexed citations
11.
Hernandez-Matamoros, Andres, Hamido Fujita, & Héctor Pérez-Meana. (2020). A novel approach to create synthetic biomedical signals using BiRNN. Information Sciences. 541. 218–241. 56 indexed citations
12.
Gu, Jing, et al.. (2019). Alleviating Financing Constraints of SMEs through Supply Chain. Sustainability. 11(3). 673–673. 29 indexed citations
13.
Feng, Feng, Hamido Fujita, Muhammad İrfan Ali, Ronald R. Yager, & Xiaoyan Liu. (2019). Another View on Generalized Intuitionistic Fuzzy Soft Sets and Related Multiattribute Decision Making Methods. IEEE Transactions on Fuzzy Systems. 27(3). 474–488. 204 indexed citations
14.
Wu, Xing, Mingyu Zhong, Yike Guo, & Hamido Fujita. (2019). The assessment of small bowel motility with attentive deformable neural network. Information Sciences. 508. 22–32. 22 indexed citations
15.
Wang, Shu, Tianrui Li, Chuan Luo, Hongmei Chen, & Hamido Fujita. (2018). Domain-wise approaches for updating approximations with multi-dimensional variation of ordered information systems. Information Sciences. 478. 100–124. 30 indexed citations
16.
Wu, Jian, Lifang Dai, Francisco Chiclana, Hamido Fujita, & Enrique Herrera‐Viedma. (2017). A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust. Information Fusion. 41. 232–242. 315 indexed citations breakdown →
17.
Ma, Nan, et al.. (2015). Ensembles of Fuzzy Cognitive Map Classifiers Based on Quantum Computation. Acta Polytechnica Hungarica. 12(4). 2 indexed citations
18.
Fujita, Hamido, et al.. (2015). SoNeR: Social Network Ranker. Neurocomputing. 202. 104–107. 5 indexed citations
19.
Feng, Feng, Hamido Fujita, Young Bae Jun, & Madad Khan. (2014). Decomposition of Fuzzy Soft Sets with Finite Value Spaces. The Scientific World JOURNAL. 2014. 1–10. 15 indexed citations
20.
Fujita, Hamido, et al.. (2007). Cognitive Modeling in Software and Relation to Human Emotional Reasoning. 145–165. 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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