Junkai Ji

1.7k total citations
68 papers, 1.2k citations indexed

About

Junkai Ji is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Junkai Ji has authored 68 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 15 papers in Computational Theory and Mathematics and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Junkai Ji's work include Metaheuristic Optimization Algorithms Research (17 papers), Evolutionary Algorithms and Applications (13 papers) and Neural Networks and Applications (13 papers). Junkai Ji is often cited by papers focused on Metaheuristic Optimization Algorithms Research (17 papers), Evolutionary Algorithms and Applications (13 papers) and Neural Networks and Applications (13 papers). Junkai Ji collaborates with scholars based in China, Japan and Hong Kong. Junkai Ji's co-authors include Yuki Todo, Zheng Tang, Shangce Gao, Yajiao Tang, Qiuzhen Lin, Cheng Tang, Zhenyu Song, Ka‐Chun Wong, Shuangbao Song and Wenhong Wei and has published in prestigious journals such as Bioinformatics, PLoS ONE and Optics Express.

In The Last Decade

Junkai Ji

58 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junkai Ji China 20 742 227 171 158 141 68 1.2k
Junhai Zhai China 20 943 1.3× 203 0.9× 89 0.5× 234 1.5× 128 0.9× 98 1.4k
Yuki Todo Japan 26 1.3k 1.8× 356 1.6× 167 1.0× 334 2.1× 204 1.4× 132 1.9k
Helmi Md Rais Malaysia 11 620 0.8× 95 0.4× 237 1.4× 168 1.1× 57 0.4× 32 1.2k
Meng‐Hiot Lim Singapore 15 941 1.3× 160 0.7× 166 1.0× 499 3.2× 101 0.7× 32 1.5k
Juan Zhao China 19 636 0.9× 144 0.6× 168 1.0× 221 1.4× 57 0.4× 106 1.1k
Zahra Beheshti Iran 19 828 1.1× 175 0.8× 154 0.9× 347 2.2× 49 0.3× 32 1.3k
José M. Puerta Spain 19 819 1.1× 64 0.3× 85 0.5× 171 1.1× 148 1.0× 75 1.4k
Jiangjiang Zhang China 11 385 0.5× 129 0.6× 253 1.5× 183 1.2× 47 0.3× 30 1.0k

Countries citing papers authored by Junkai Ji

Since Specialization
Citations

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

Fields of papers citing papers by Junkai Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junkai Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Junkai Ji. A scholar is included among the top collaborators of Junkai Ji 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 Junkai Ji. Junkai Ji 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.
2.
Gao, Peng, et al.. (2025). Phage Host Prediction Using Deep Neural Network With Multi-Source Protein Language Models and Squeeze-and-Excitation Attention Mechanism. IEEE Journal of Biomedical and Health Informatics. 30(2). 1759–1771.
3.
Ji, Junkai, et al.. (2025). A Logic Circuit-Based Intrusion Detection System Using a Dendritic Neural Model Ensemble. IEEE Computational Intelligence Magazine. 20(2). 20–32.
4.
Wang, Qianhui, et al.. (2025). Feasibility-guided search and prediction for dynamic constrained multiobjective evolutionary optimization. Swarm and Evolutionary Computation. 99. 102157–102157.
5.
Song, Shuangbao, et al.. (2025). A temporally coded multilayer spiking neural network and its memristor-based hardware implementation. Neurocomputing. 656. 131523–131523.
6.
7.
Yang, Cheng‐Zen, et al.. (2024). Generating logic circuit classifiers from dendritic neural model via multi-objective optimization. Swarm and Evolutionary Computation. 91. 101740–101740. 1 indexed citations
8.
Wang, Qianhui, Qingling Zhu, & Junkai Ji. (2024). Multi-Stage Transfer Learning Evolutionary Algorithm for Dynamic Multiobjective Optimization. 1–8. 1 indexed citations
9.
10.
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
11.
Wei, Wenhong, Yi Chen, Qiuzhen Lin, et al.. (2023). Multi-objective evolving long–short term memory networks with attention for network intrusion detection. Applied Soft Computing. 139. 110216–110216. 13 indexed citations
12.
Yang, Minghao, Zhi-An Huang, Wei Zhou, et al.. (2023). MIX-TPI: a flexible prediction framework for TCR–pMHC interactions based on multimodal representations. Bioinformatics. 39(8). 7 indexed citations
13.
Ji, Junkai, Minhui Dong, Qiuzhen Lin, & Kay Chen Tan. (2022). Noninvasive Cuffless Blood Pressure Estimation With Dendritic Neural Regression. IEEE Transactions on Cybernetics. 53(7). 4162–4174. 12 indexed citations
14.
Tang, Yajiao, et al.. (2022). Adopting a dendritic neural model for predicting stock price index movement. Expert Systems with Applications. 205. 117637–117637. 19 indexed citations
15.
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
16.
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
17.
Song, Zhenyu, et al.. (2021). Adaptive Self-Scaling Brain-Storm Optimization via a Chaotic Search Mechanism. Algorithms. 14(8). 239–239. 2 indexed citations
18.
Wei, Wenhong, et al.. (2020). A multi-objective immune algorithm for intrusion feature selection. Applied Soft Computing. 95. 106522–106522. 57 indexed citations
19.
Zhang, Shiwen, et al.. (2020). Decomposition-Based Multiobjective Evolutionary Optimization with Adaptive Multiple Gaussian Process Models. Complexity. 2020. 1–22. 7 indexed citations
20.
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

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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