Qingyue Chen

417 total citations
29 papers, 305 citations indexed

About

Qingyue Chen is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, Qingyue Chen has authored 29 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 6 papers in Aerospace Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Qingyue Chen's work include Advanced Power Amplifier Design (11 papers), Radio Frequency Integrated Circuit Design (5 papers) and Full-Duplex Wireless Communications (5 papers). Qingyue Chen is often cited by papers focused on Advanced Power Amplifier Design (11 papers), Radio Frequency Integrated Circuit Design (5 papers) and Full-Duplex Wireless Communications (5 papers). Qingyue Chen collaborates with scholars based in China, Denmark and Canada. Qingyue Chen's co-authors include Hailong Li, Weijin Zhang, Haoyi Peng, Lijian Leng, Hao Zhan, Jiefeng Chen, Donghai Xu, Mikhail S. Vlaskin, Jian Pan and Lin Qin and has published in prestigious journals such as The Science of The Total Environment, Bioresource Technology and IEEE Access.

In The Last Decade

Qingyue Chen

26 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qingyue Chen China	9	155	89	59	59	23	29	305
Hamed Masoumi Iran	6	78 0.5×	29 0.3×	28 0.5×	121 2.1×	89 3.9×	22	336
Abhinav Anand Sinha India	10	99 0.6×	86 1.0×	13 0.2×	144 2.4×	16 0.7×	19	351
J. Arturo Alfaro-Ayala Mexico	13	134 0.9×	86 1.0×	21 0.4×	157 2.7×	4 0.2×	35	426
Lei Meng China	10	237 1.5×	41 0.5×	15 0.3×	43 0.7×	19 0.8×	16	419
Mustafa Kaan Baltacıoğlu Türkiye	11	242 1.6×	120 1.3×	35 0.6×	82 1.4×	5 0.2×	18	585
Erming Cao China	5	178 1.1×	38 0.4×	29 0.5×	55 0.9×	13 0.6×	8	365
Bidesh Roy India	12	176 1.1×	34 0.4×	54 0.9×	46 0.8×	14 0.6×	39	346
Sunil Kumar Mahla India	17	488 3.1×	29 0.3×	21 0.4×	81 1.4×	10 0.4×	31	660
Seyed Mohammad Ebrahimi Saryazdi Iran	11	151 1.0×	44 0.5×	26 0.4×	95 1.6×	8 0.3×	13	336

Countries citing papers authored by Qingyue Chen

Since Specialization

Citations

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

Fields of papers citing papers by Qingyue Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingyue Chen

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

All Works

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20 of 20 papers shown

Zhang, Weijin, Zihan Cao, Qingyue Chen, Lijian Leng, & Hailong Li. (2025). Machine learning-assisted separation of lignin from hydrothermal treatment of biomass by deep eutectic solvents. Bioresource Technology. 440. 133537–133537.

Chen, Qingyue, et al.. (2025). Machine Learning-Assisted Multi-Property Prediction and Sintering Mechanism Exploration of Mullite–Corundum Ceramics. Materials. 18(6). 1384–1384. 2 indexed citations

Chen, Qingyue, Xin Liu, Wenhua Chen, et al.. (2024). A Novel Digital Predistortion Coefficients Prediction Technique for Dynamic PA Nonlinearities Using Artificial Neural Networks. IEEE Microwave and Wireless Technology Letters. 34(9). 1115–1118. 3 indexed citations

Zhang, Yufeng, Xin Liu, Qingyue Chen, et al.. (2024). An Enhanced Binary Particle Swarm Optimization for Pruning Digital Predistortion Models. IEEE Microwave and Wireless Technology Letters. 34(9). 1119–1122. 2 indexed citations

Zhang, Weijin, Qingyue Chen, Jiefeng Chen, et al.. (2024). Automated machine learning-aided prediction and interpretation of gaseous by-products from the hydrothermal liquefaction of biomass. The Science of The Total Environment. 945. 173939–173939. 8 indexed citations

Chen, Qingyue, Yufeng Zhang, Xin Liu, et al.. (2024). Continual Transfer Learning Assisted Digital Predistortion for Dynamic Nonlinearities of Active Phased Arrays. IEEE Microwave and Wireless Technology Letters. 34(12). 1391–1394. 2 indexed citations

Chen, Qingyue, et al.. (2023). Optimizing pricing and inventory strategies for dietary supplement production under stochastic demand. Industrial Management & Data Systems. 123(8). 2013–2037. 4 indexed citations

Jensen, Ole Kiel, et al.. (2023). Bandwidth-Scalable Digital Predistortion of Active Phased Array Using Transfer Learning Neural Network. IEEE Access. 11. 13877–13888. 9 indexed citations

Chen, Qingyue, et al.. (2023). Efficient Digital Signal Recovery for Satellite Communications With Active Phased Arrays. IEEE Microwave and Wireless Technology Letters. 33(5). 627–630. 2 indexed citations

10.

Leng, Lijian, Weijin Zhang, Qingyue Chen, et al.. (2022). Machine learning prediction of nitrogen heterocycles in bio-oil produced from hydrothermal liquefaction of biomass. Bioresource Technology. 362. 127791–127791. 48 indexed citations

11.

Zhang, Weijin, Qingyue Chen, Jiefeng Chen, et al.. (2022). Machine learning for hydrothermal treatment of biomass: A review. Bioresource Technology. 370. 128547–128547. 104 indexed citations

12.

Li, Yunfeng, et al.. (2022). Hybrid Digital Pre-Distortion for Active Phased Arrays Subject to Varied Power and Steering Angle. IEEE Microwave and Wireless Components Letters. 32(10). 1243–1246.

13.

Chen, Qingyue, et al.. (2022). A Spatial-temporal Frequency Nadir Prediction Method Based on ConvLSTM with Attention. 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET). 1–6. 2 indexed citations

14.

Liang, Shili, et al.. (2021). Notice of Removal: A New Framework for Robust Heart Rate Measurement Based on the Head Motion State Estimation. IEEE Journal of Biomedical and Health Informatics. 25(9). 3428–3437. 7 indexed citations

15.

Chen, Qingyue, et al.. (2021). Robust Digital Signal Recovery for LEO Satellite Communications Subject to High SNR Variation and Transmitter Memory Effects. IEEE Access. 9. 135803–135815. 8 indexed citations

16.

Chen, Qingyue, et al.. (2021). Efficient Detection of Rare Beacon Events in GEO Satellite Communication Systems using Deep Learning. VBN Forskningsportal (Aalborg Universitet). 315. 1–3. 3 indexed citations

17.

Liang, Shili, et al.. (2021). Research on the combination of color channels in heart rate measurement based on photoplethysmography imaging. Journal of Biomedical Optics. 26(2). 10 indexed citations

18.

Li, Yunfeng, et al.. (2021). Tuning of Deep Neural Networks for Over-The-Air Linearization of Highly Nonlinear Wide-Band Active Phased Arrays. VBN Forskningsportal (Aalborg Universitet). 1–4. 1 indexed citations

19.

Liang, Shili, et al.. (2020). A measurement of illumination variation-resistant noncontact heart rate based on the combination of singular spectrum analysis and sub-band method. Computer Methods and Programs in Biomedicine. 200. 105824–105824. 14 indexed citations

20.

Chen, Qingyue, et al.. (2016). Novel hybrid buck L converter for wide conversion ratios. 158–167. 4 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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