Junzhong Ji

1.8k total citations
128 papers, 1.2k citations indexed

About

Junzhong Ji is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Junzhong Ji has authored 128 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 42 papers in Cognitive Neuroscience and 21 papers in Computational Theory and Mathematics. Recurrent topics in Junzhong Ji's work include Functional Brain Connectivity Studies (38 papers), Metaheuristic Optimization Algorithms Research (20 papers) and Neural dynamics and brain function (18 papers). Junzhong Ji is often cited by papers focused on Functional Brain Connectivity Studies (38 papers), Metaheuristic Optimization Algorithms Research (20 papers) and Neural dynamics and brain function (18 papers). Junzhong Ji collaborates with scholars based in China, United States and Japan. Junzhong Ji's co-authors include Chunnian Liu, Jinduo Liu, Xiaodan Zhang, Aidong Zhang, Minglong Lei, Baocai Yin, Jiming Liu, Zhijun Liu, Ning Zhong and Boyue Wang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Junzhong Ji

119 papers receiving 1.2k citations

Peers

Junzhong Ji

CVPR

CTM

Cheng Liu China

Ioannis Vlachos Greece

Feng Zhao China

Yuki Todo Japan

H. Hannah Inbarani India

Cyril Goutte Canada

Xiangwei Zheng China

Jun Feng China

Ana Carolina Lorena Brazil

Cheng Liu China

Junzhong Ji

688 ×1.4

147 ×0.4

487 ×2.5

CVPR

123 ×0.8

CTM

163 ×1.1

Citations per year, relative to Junzhong Ji Junzhong Ji (= 1×) peers Cheng Liu

Countries citing papers authored by Junzhong Ji

Since Specialization

Citations

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

Fields of papers citing papers by Junzhong Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junzhong Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Junzhong Ji. A scholar is included among the top collaborators of Junzhong 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 Junzhong Ji. Junzhong Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liu, Jinduo, et al.. (2025). Multi-atlas functional and effective connectivity attention fusion method for autism spectrum disorder diagnosis. Engineering Applications of Artificial Intelligence. 160. 111877–111877. 1 indexed citations

Ji, Junzhong, et al.. (2025). A similar environment transfer strategy for dynamic multiobjective optimization. Information Sciences. 707. 122018–122018. 2 indexed citations

Liu, Jinduo, et al.. (2025). Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention. 1657–1668. 1 indexed citations

Ji, Junzhong, et al.. (2024). MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 10261–10269. 4 indexed citations

Ji, Junzhong, et al.. (2024). Causal Learning and Knowledge Fusion Mechanism for Brain Functional Network Classification. IEEE Transactions on Signal and Information Processing over Networks. 10. 650–664. 2 indexed citations

Ji, Junzhong, et al.. (2024). Spatio-Temporal Transformer Network for Weather Forecasting. IEEE Transactions on Big Data. 11(2). 372–387. 10 indexed citations

Ji, Junzhong, et al.. (2024). Neural population dynamics optimization algorithm: A novel brain-inspired meta-heuristic method. Knowledge-Based Systems. 300. 112194–112194. 16 indexed citations

Liu, Jinduo, et al.. (2024). MCAN: Multimodal Causal Adversarial Networks for Dynamic Effective Connectivity Learning From fMRI and EEG Data. IEEE Transactions on Medical Imaging. 43(8). 2913–2923. 7 indexed citations

Ji, Junzhong, et al.. (2023). Tri-objective optimization-based cascade ensemble pruning for deep forest. Pattern Recognition. 143. 109744–109744. 5 indexed citations

10.

Ji, Junzhong, et al.. (2023). Convolutional architecture search based on particle swarm algorithm for functional brain network classification. Applied Soft Computing. 149. 111049–111049. 1 indexed citations

11.

Song, Xiao, Xiaodan Zhang, Junzhong Ji, & Ying Liu. (2023). Multi-scale Superpixel based Hierarchical Attention model for brain CT classification. Journal of Visual Communication and Image Representation. 91. 103773–103773. 4 indexed citations

12.

Ji, Junzhong, et al.. (2023). Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation. 6617–6630. 4 indexed citations

13.

Ji, Junzhong, et al.. (2023). Two-stage species conservation for multimodal multi-objective optimization with local Pareto sets. Information Sciences. 639. 118990–118990. 11 indexed citations

14.

Ji, Junzhong, et al.. (2023). Learning Causal Biological Networks with Parallel Ant Colony Optimization Algorithm. Bioengineering. 10(8). 909–909.

15.

Lv, Han, Jinduo Liu, Qian Chen, et al.. (2023). Brain Effective Connectivity Analysis Facilitates the Treatment Outcome Expectation of Sound Therapy in Patients With Tinnitus. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 1158–1166. 5 indexed citations

16.

Ji, Junzhong, et al.. (2023). Deep Hashing Mutual Learning for Brain Network Classification. IEEE Journal of Biomedical and Health Informatics. 27(9). 4489–4499. 3 indexed citations

17.

Ji, Junzhong, et al.. (2023). Supervised Contrastive Learning With Structure Inference for Graph Classification. IEEE Transactions on Network Science and Engineering. 10(3). 1684–1695. 11 indexed citations

18.

Ji, Junzhong, et al.. (2022). Functional Brain Network Classification Based on Deep Graph Hashing Learning. IEEE Transactions on Medical Imaging. 41(10). 2891–2902. 16 indexed citations

19.

Ji, Junzhong, et al.. (2021). A Survey on Brain Effective Connectivity Network Learning. IEEE Transactions on Neural Networks and Learning Systems. 34(4). 1879–1899. 36 indexed citations

20.

Liu, Jinduo, Junzhong Ji, Guangxu Xun, & Aidong Zhang. (2021). Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score. IEEE Transactions on Neural Networks and Learning Systems. 33(10). 5993–6006. 21 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.

Explore authors with similar magnitude of impact