Jianguo Chen

5.1k total citations · 1 hit paper
226 papers, 3.5k citations indexed

About

Jianguo Chen is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jianguo Chen has authored 226 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Electrical and Electronic Engineering, 43 papers in Artificial Intelligence and 34 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jianguo Chen's work include Photonic and Optical Devices (15 papers), Crime Patterns and Interventions (15 papers) and Semiconductor Lasers and Optical Devices (15 papers). Jianguo Chen is often cited by papers focused on Photonic and Optical Devices (15 papers), Crime Patterns and Interventions (15 papers) and Semiconductor Lasers and Optical Devices (15 papers). Jianguo Chen collaborates with scholars based in China, United States and Canada. Jianguo Chen's co-authors include Kenli Li, Philip S. Yu, Keqin Li, Kashif Bilal, Zhuo Tang, Shui Yu, Chuliang Weng, Keqin Li, Guofeng Su and Qingying Deng and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Jianguo Chen

203 papers receiving 3.4k citations

Hit Papers

A Parallel Random Forest ... 2016 2026 2019 2022 2016 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jianguo Chen 832 586 443 433 408 226 3.5k
Claude Sammut 1.7k 2.1× 636 1.1× 420 0.9× 328 0.8× 227 0.6× 112 4.8k
Rung-Ching Chen 857 1.0× 979 1.7× 311 0.7× 278 0.6× 327 0.8× 187 3.4k
Chang‐Tien Lu 1.6k 2.0× 323 0.6× 490 1.1× 524 1.2× 373 0.9× 223 3.5k
Paolo Nesi 610 0.7× 700 1.2× 833 1.9× 739 1.7× 373 0.9× 240 3.3k
Kincho H. Law 681 0.8× 331 0.6× 353 0.8× 517 1.2× 824 2.0× 326 7.5k
Haruna Chiroma 1.2k 1.4× 411 0.7× 841 1.9× 791 1.8× 203 0.5× 132 3.6k
Francesco Piccialli 1.5k 1.8× 984 1.7× 645 1.5× 985 2.3× 201 0.5× 180 5.6k
Miriam A. M. Capretz 1.0k 1.2× 312 0.5× 659 1.5× 653 1.5× 395 1.0× 150 3.0k
Valentina Emilia Bălaş 822 1.0× 485 0.8× 336 0.8× 576 1.3× 202 0.5× 311 3.7k
János Abonyi 1.2k 1.5× 272 0.5× 249 0.6× 202 0.5× 153 0.4× 267 4.4k

Countries citing papers authored by Jianguo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jianguo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianguo Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jianguo Chen. A scholar is included among the top collaborators of Jianguo Chen 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 Jianguo Chen. Jianguo Chen 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.
Chen, Jianguo, et al.. (2025). Blockchain-Empowered Federated Learning: Benefits, Challenges, and Solutions. IEEE Transactions on Big Data. 11(5). 2244–2263. 4 indexed citations
2.
Liang, Pengchen, et al.. (2025). WKPNet: A novel wavelet-KAN-POLA network for medical image segmentation. Biomedical Signal Processing and Control. 113. 108988–108988.
3.
Shi, Lei, Renkai Wu, Jianguo Chen, et al.. (2025). MambaSAM: A Visual Mamba-Adapted SAM Framework for Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 29(8). 5824–5835.
4.
Chen, Jianguo, et al.. (2024). Fault-tolerant deep learning inference on CPU-GPU integrated edge devices with TEEs. Future Generation Computer Systems. 161. 404–414.
5.
Yue, Han & Jianguo Chen. (2024). Interpretable spatial machine learning for understanding spatial heterogeneity in factors affecting street theft crime. Applied Geography. 175. 103503–103503. 1 indexed citations
6.
Liang, Pengchen, Jianguo Chen, Qing Chang, & Lei Yao. (2024). RSKD: Enhanced medical image segmentation via multi-layer, rank-sensitive knowledge distillation in Vision Transformer models. Knowledge-Based Systems. 293. 111664–111664. 10 indexed citations
7.
Pu, Bin, et al.. (2024). HFSCCD: A Hybrid Neural Network for Fetal Standard Cardiac Cycle Detection in Ultrasound Videos. IEEE Journal of Biomedical and Health Informatics. 28(5). 2943–2954. 11 indexed citations
8.
Rong, Huigui, et al.. (2024). TSBG: A Two-Stage Stackelberg Game Algorithm for QoE-Awareness Video Streaming Transmission. IEEE Transactions on Mobile Computing. 23(12). 12558–12571. 3 indexed citations
9.
Liu, Xiaowei, et al.. (2023). Hybrid CNN-Transformer model for medical image segmentation with pyramid convolution and multi-layer perceptron. Biomedical Signal Processing and Control. 86. 105331–105331. 28 indexed citations
10.
Wang, Jin, et al.. (2023). Investigation of the Evolution of Schmid Factors (SF) in 316 Stainless Steel during In Situ Plastic Deformation. Crystals. 13(10). 1510–1510. 5 indexed citations
11.
Wang, Haiping, Yuan Liu, Qingyong Hu, et al.. (2023). RoReg: Pairwise Point Cloud Registration With Oriented Descriptors and Local Rotations. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(8). 10376–10393. 64 indexed citations
12.
Deng, Qingying, et al.. (2023). Hamiltonian paths and Hamiltonian cycles passing through prescribed linear forests in star graph with fault-tolerant edges. Discrete Applied Mathematics. 334. 68–80. 2 indexed citations
13.
Li, Kenli, et al.. (2022). Reliability/Performance-Aware Scheduling for Parallel Applications With Energy Constraints on Heterogeneous Computing Systems. IEEE Transactions on Sustainable Computing. 7(3). 681–695. 11 indexed citations
14.
Chen, Jianguo, Qingying Deng, & Xulei Yang. (2022). Non-cooperative game algorithms for computation offloading in mobile edge computing environments. Journal of Parallel and Distributed Computing. 172. 18–31. 21 indexed citations
15.
Chen, Jianguo, Kenli Li, & Philip S. Yu. (2021). Privacy-Preserving Deep Learning Model for Decentralized VANETs Using Fully Homomorphic Encryption and Blockchain. IEEE Transactions on Intelligent Transportation Systems. 23(8). 11633–11642. 77 indexed citations
16.
Chen, Jianguo, Kenli Li, Huigui Rong, et al.. (2018). A periodicity-based parallel time series prediction algorithm in cloud computing environments. Information Sciences. 496. 506–537. 66 indexed citations
17.
Chen, Jianguo, Kenli Li, Kashif Bilal, et al.. (2018). A Bi-layered Parallel Training Architecture for Large-Scale Convolutional Neural Networks. IEEE Transactions on Parallel and Distributed Systems. 30(5). 965–976. 147 indexed citations
19.
20.
Su, Guofeng, et al.. (2017). Using big data to enhance crisis response and disaster resilience for a smart city. 504–507. 42 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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