Jie Guo

1.0k total citations
58 papers, 671 citations indexed

About

Jie Guo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jie Guo has authored 58 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 14 papers in Information Systems. Recurrent topics in Jie Guo's work include Sparse and Compressive Sensing Techniques (10 papers), Recommender Systems and Techniques (8 papers) and Advanced Graph Neural Networks (8 papers). Jie Guo is often cited by papers focused on Sparse and Compressive Sensing Techniques (10 papers), Recommender Systems and Techniques (8 papers) and Advanced Graph Neural Networks (8 papers). Jie Guo collaborates with scholars based in China, United States and Canada. Jie Guo's co-authors include Bin Song, F. Richard Yu, Xiaojiang Du, Zhijin Qin, Mohsen Guizani, Yuhao Chi, Zhong Wan, Mehdi Sookhak, Ying He and Chen Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Communications Surveys & Tutorials.

In The Last Decade

Jie Guo

54 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jie Guo China	15	248	179	170	165	153	58	671
Mingxuan Sun United States	14	205 0.8×	117 0.7×	219 1.3×	144 0.9×	132 0.9×	53	659
Ruijuan Zheng China	15	243 1.0×	113 0.6×	147 0.9×	176 1.1×	404 2.6×	96	793
Shiming He China	16	247 1.0×	230 1.3×	117 0.7×	122 0.7×	399 2.6×	47	831
Lin Wei China	13	291 1.2×	80 0.4×	169 1.0×	159 1.0×	170 1.1×	62	739
Zhiyuan Li China	17	249 1.0×	146 0.8×	147 0.9×	125 0.8×	351 2.3×	74	1.0k
Yujun Chen China	13	190 0.8×	166 0.9×	72 0.4×	53 0.3×	124 0.8×	58	551
Wenwen Gong China	10	201 0.8×	57 0.3×	141 0.8×	182 1.1×	178 1.2×	21	543
Anupriya Gogna India	10	221 0.9×	70 0.4×	135 0.8×	124 0.8×	51 0.3×	15	618
Shaohuai Shi Hong Kong	13	492 2.0×	137 0.8×	351 2.1×	51 0.3×	181 1.2×	37	813
Yifeng Zhang China	15	307 1.2×	66 0.4×	356 2.1×	258 1.6×	209 1.4×	66	875

Countries citing papers authored by Jie Guo

Since Specialization

Citations

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

Fields of papers citing papers by Jie Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Guo. A scholar is included among the top collaborators of Jie Guo 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 Jie Guo. Jie Guo 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

Guo, Jie, et al.. (2025). Cross-Modal Compositional Learning for Multilabel Remote Sensing Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 5810–5823. 3 indexed citations

Guo, Jie, et al.. (2024). SPACE: Self-Supervised Dual Preference Enhancing Network for Multimodal Recommendation. IEEE Transactions on Multimedia. 26. 8849–8859. 4 indexed citations

Guo, Jie, et al.. (2024). Multitask Fine-Grained Feature Mining for Multilabel Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 3 indexed citations

Guo, Jie, Hao Chen, Bin Song, et al.. (2024). Distributed Task-Oriented Communication Networks with Multimodal Semantic Relay and Edge Intelligence. IEEE Communications Magazine. 62(6). 82–89. 12 indexed citations

Guo, Jie, et al.. (2024). Atmospheric PM2.5 Prediction Model Based on Principal Component Analysis and SSA–SVM. Sustainability. 16(2). 832–832. 7 indexed citations

He, Jun, et al.. (2024). Enhancing precipitation estimation accuracy: An evaluation of traditional and machine learning approaches in rainfall predictions. Journal of Atmospheric and Solar-Terrestrial Physics. 255. 106175–106175. 7 indexed citations

Jiang, Song, Zhengjun Liu, Yang Jiao, et al.. (2023). Research on Arc Sag Measurement Methods for Transmission Lines Based on Deep Learning and Photogrammetry Technology. Remote Sensing. 15(10). 2533–2533. 5 indexed citations

Guo, Jie, et al.. (2023). A Survey of Label Placements in Visualizations. Journal of Computer-Aided Design & Computer Graphics. 35(8). 1162–1174.

Guo, Jie, et al.. (2023). HGAN: Hierarchical Graph Alignment Network for Image-Text Retrieval. IEEE Transactions on Multimedia. 25. 9189–9202. 17 indexed citations

10.

Xu, Kang, et al.. (2023). Interpretability for reliable, efficient, and self-cognitive DNNs: From theories to applications. Neurocomputing. 545. 126267–126267. 6 indexed citations

11.

Guo, Jie, et al.. (2023). Attention-guided Multi-step Fusion: A Hierarchical Fusion Network for Multimodal Recommendation. 1816–1820. 11 indexed citations

12.

Qiu, Weidong, et al.. (2023). Spammy Names Detection in Pashto Language to Prevent Fake Accounts Creation on Social Media. 614–618.

13.

Du, Lei, et al.. (2022). Adaptive Resource Allocation of Vehicles under Dynamic Environment. Wireless Communications and Mobile Computing. 2022(1). 1 indexed citations

14.

Guo, Jie, et al.. (2022). Trust-aware Multi-task Knowledge Graph for Recommendation. IEEE Transactions on Knowledge and Data Engineering. 1–14. 8 indexed citations

15.

Chi, Yuhao, Lei Liu, Jie Guo, et al.. (2019). Variable-Rate Coding With Constant BER for NOMA via Multilevel IRA Coding. IEEE Transactions on Vehicular Technology. 68(5). 5149–5153. 6 indexed citations

16.

Guo, Jie & Zhong Wan. (2019). A Modified Spectral PRP Conjugate Gradient Projection Method for Solving Large‐Scale Monotone Equations and Its Application in Compressed Sensing. Mathematical Problems in Engineering. 2019(1). 20 indexed citations

17.

Song, Bin, et al.. (2019). Interest-Related Item Similarity Model Based on Multimodal Data for Top-N Recommendation. IEEE Access. 7. 12809–12821. 15 indexed citations

18.

Guo, Jie, et al.. (2019). Context-Aware Object Detection for Vehicular Networks Based on Edge-Cloud Cooperation. IEEE Internet of Things Journal. 7(7). 5783–5791. 29 indexed citations

19.

Huang, Zheng, et al.. (2017). Deep Recurrent Model for Server Load and Performance Prediction in Data Center. Complexity. 2017. 1–10. 26 indexed citations

20.

Chen, Sijia, Bin Song, Jie Guo, & Xiaojiang Du. (2017). An Unbalanced Data Hybrid-Sampling Algorithm Based on Multi-Information Fusion. 39. 1–7.

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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