Yuki Todo

2.7k total citations
132 papers, 1.9k citations indexed

About

Yuki Todo is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuki Todo has authored 132 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Artificial Intelligence, 34 papers in Cognitive Neuroscience and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yuki Todo's work include Metaheuristic Optimization Algorithms Research (44 papers), Neural Networks and Applications (30 papers) and Evolutionary Algorithms and Applications (25 papers). Yuki Todo is often cited by papers focused on Metaheuristic Optimization Algorithms Research (44 papers), Neural Networks and Applications (30 papers) and Evolutionary Algorithms and Applications (25 papers). Yuki Todo collaborates with scholars based in Japan, China and United States. Yuki Todo's co-authors include Shangce Gao, Zheng Tang, Junkai Ji, Jiujun Cheng, Yang Yu, Yajiao Tang, Shuangbao Song, Yirui Wang, Jiahai Wang and Cheng Tang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Yuki Todo

112 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuki Todo Japan 26 1.3k 356 334 241 204 132 1.9k
Zheng Tang Japan 22 1.2k 0.9× 300 0.8× 261 0.8× 260 1.1× 158 0.8× 167 2.0k
Ahamad Tajudin Khader Malaysia 27 756 0.6× 518 1.5× 211 0.6× 205 0.9× 352 1.7× 65 2.1k
Julio Ortega Spain 26 1.4k 1.0× 364 1.0× 349 1.0× 245 1.0× 109 0.5× 133 2.5k
Junkai Ji China 20 742 0.6× 227 0.6× 158 0.5× 122 0.5× 141 0.7× 68 1.2k
Ran Wang China 28 1.5k 1.1× 204 0.6× 485 1.5× 614 2.5× 234 1.1× 88 2.4k
Kai Wu China 21 694 0.5× 277 0.8× 116 0.3× 151 0.6× 155 0.8× 83 1.4k
Heitor Silvério Lopes Brazil 21 1.6k 1.2× 183 0.5× 361 1.1× 405 1.7× 90 0.4× 148 2.5k
Riashat Islam Canada 7 910 0.7× 418 1.2× 154 0.5× 293 1.2× 112 0.5× 9 2.1k
Jinglu Hu Japan 22 1.5k 1.1× 265 0.7× 131 0.4× 426 1.8× 277 1.4× 294 2.6k
Zuren Feng China 23 546 0.4× 264 0.7× 232 0.7× 217 0.9× 107 0.5× 101 1.6k

Countries citing papers authored by Yuki Todo

Since Specialization
Citations

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

Fields of papers citing papers by Yuki Todo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuki Todo

This figure shows the co-authorship network connecting the top 25 collaborators of Yuki Todo. A scholar is included among the top collaborators of Yuki Todo 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 Yuki Todo. Yuki Todo 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
3.
Todo, Yuki, et al.. (2025). DPFSI: A legal judgment prediction method based on deontic logic prompt and fusion of law article statistical information. Expert Systems with Applications. 272. 126722–126722.
4.
Chen, Tianqi, et al.. (2025). A motion direction detecting model for colored images based on the Hassenstein–Reichardt model. Machine Vision and Applications. 36(1).
5.
Nomura, Masahiro, Tianqi Chen, Cheng Tang, et al.. (2024). A Hardware-Based Orientation Detection System Using Dendritic Computation. Electronics. 13(7). 1367–1367. 1 indexed citations
6.
Li, Jiayi, et al.. (2024). Alternating Excitation–Inhibition Dendritic Computing for Classification. IEEE Transactions on Artificial Intelligence. 5(11). 5431–5441. 3 indexed citations
7.
Li, Zhen, et al.. (2024). Differential evolution with ring sub-population architecture for optimization. Knowledge-Based Systems. 305. 112590–112590. 4 indexed citations
8.
Wang, Kaiyu, et al.. (2024). Fractional-Order Water Flow Optimizer. International Journal of Computational Intelligence Systems. 17(1). 2 indexed citations
9.
Tang, Cheng, Junkai Ji, Yuki Todo, et al.. (2024). Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(3). 2228–2239. 5 indexed citations
10.
Todo, Yuki, et al.. (2024). MFLSCI: Multi-granularity fusion and label semantic correlation information for multi-label legal text classification. Engineering Applications of Artificial Intelligence. 139. 109604–109604. 1 indexed citations
11.
Zhang, Zhongguo, et al.. (2024). Dynamic User Tourism Interest Modeling through Domain Information Integration: A Hierarchical Approach. Electronics. 13(15). 2970–2970.
12.
Todo, Yuki, et al.. (2023). Umbrellalike Hierarchical Artificial Bee Colony Algorithm. IEICE Transactions on Information and Systems. E106.D(3). 410–418. 2 indexed citations
13.
Gao, Shangce, et al.. (2023). An Extension Network of Dendritic Neurons. Computational Intelligence and Neuroscience. 2023(1). 7037124–7037124. 7 indexed citations
14.
Li, Xiaosi, et al.. (2023). Yet Another Effective Dendritic Neuron Model Based on the Activity of Excitation and Inhibition. Mathematics. 11(7). 1701–1701. 5 indexed citations
15.
Zhang, Yu, et al.. (2021). A Cooperative Coevolution Wingsuit Flying Search Algorithm with Spherical Evolution. International Journal of Computational Intelligence Systems. 14(1). 14 indexed citations
16.
Song, Zhenyu, Cheng Tang, Junkai Ji, Yuki Todo, & Zheng Tang. (2021). A Simple Dendritic Neural Network Model-Based Approach for Daily PM2.5 Concentration Prediction. Electronics. 10(4). 373–373. 19 indexed citations
17.
Tang, Cheng, Shuangbao Song, Junkai Ji, et al.. (2021). A cuckoo search algorithm with scale-free population topology. Expert Systems with Applications. 188. 116049–116049. 11 indexed citations
18.
Tang, Cheng, et al.. (2020). Evolutionary Dendritic Neural Model for Classification Problems. Complexity. 2020. 1–13. 11 indexed citations
19.
Tang, Yajiao, Junkai Ji, Yulin Zhu, et al.. (2019). A Differential Evolution‐Oriented Pruning Neural Network Model for Bankruptcy Prediction. Complexity. 2019(1). 40 indexed citations
20.
Todo, Yuki, et al.. (2014). A learning multiple-valued logic networkusing genetic algorithm. International journal of innovative computing, information & control. 10(2). 565–574. 6 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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