Zaiqing Chen

1.1k total citations · 1 hit paper
54 papers, 743 citations indexed

About

Zaiqing Chen is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Zaiqing Chen has authored 54 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 18 papers in Computer Vision and Pattern Recognition and 14 papers in Media Technology. Recurrent topics in Zaiqing Chen's work include Visual perception and processing mechanisms (17 papers), Advanced Optical Imaging Technologies (10 papers) and Advanced Neural Network Applications (8 papers). Zaiqing Chen is often cited by papers focused on Visual perception and processing mechanisms (17 papers), Advanced Optical Imaging Technologies (10 papers) and Advanced Neural Network Applications (8 papers). Zaiqing Chen collaborates with scholars based in China, Australia and Taiwan. Zaiqing Chen's co-authors include Yonghang Tai, Xiaoqiao Huang, Junsheng Shi, Bixuan Gao, Lijun Yun, Qiong Li, Jun Liu, Wu-Ming Liu, Feiyan Cheng and Wu‐Ming Liu and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Optics Express.

In The Last Decade

Zaiqing Chen

46 papers receiving 724 citations

Hit Papers

Time series forecasting for hourly photovoltaic power usi... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zaiqing Chen China 13 350 343 208 117 73 54 743
Mohamed Lamine Mekhalfi Italy 18 186 0.5× 344 1.0× 134 0.6× 450 3.8× 102 1.4× 40 1.0k
Hakan Açıkgöz Türkiye 18 781 2.2× 393 1.1× 240 1.2× 89 0.8× 8 0.1× 80 1.1k
Chiagoziem C. Ukwuoma China 17 98 0.3× 377 1.1× 54 0.3× 115 1.0× 30 0.4× 84 902
Lhoussain Bahatti Morocco 13 225 0.6× 158 0.5× 88 0.4× 72 0.6× 13 0.2× 59 540
K. C. Ramya India 12 229 0.7× 135 0.4× 46 0.2× 62 0.5× 16 0.2× 45 573
Yuvaraja Teekaraman India 19 323 0.9× 89 0.3× 55 0.3× 62 0.5× 22 0.3× 84 863
Jaleleddine Ben Hadj Slama Tunisia 16 1.1k 3.2× 237 0.7× 93 0.4× 58 0.5× 10 0.1× 111 1.4k
Sushabhan Choudhury India 14 176 0.5× 82 0.2× 97 0.5× 33 0.3× 41 0.6× 47 488
Zixiang Ding China 12 212 0.6× 419 1.2× 47 0.2× 135 1.2× 6 0.1× 23 776
F. Bonanno Italy 15 382 1.1× 301 0.9× 225 1.1× 50 0.4× 10 0.1× 31 668

Countries citing papers authored by Zaiqing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zaiqing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaiqing Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zaiqing Chen. A scholar is included among the top collaborators of Zaiqing 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 Zaiqing Chen. Zaiqing 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.
Yun, Lijun, et al.. (2025). LRNTRM-YOLO: Research on Real-Time Recognition of Non-Tobacco-Related Materials. Agronomy. 15(2). 489–489. 2 indexed citations
2.
Yun, Lijun, et al.. (2025). OW-YOLO: An Improved YOLOv8s Lightweight Detection Method for Obstructed Walnuts. Agriculture. 15(2). 159–159. 5 indexed citations
3.
Liu, Xiang, et al.. (2025). Prefrontal cortex activity during binocular color fusion and rivalry: an fNIRS study. Frontiers in Neurology. 16. 1527434–1527434. 2 indexed citations
4.
Shen, Cheng, et al.. (2025). DBY-Tobacco: a dual-branch model for non-tobacco related materials detection based on hyperspectral feature fusion. Frontiers in Plant Science. 16. 1538051–1538051.
5.
Yun, Lijun, et al.. (2025). Decoding binocular color differences via EEG signals: linking ERP dynamics to chromatic disparity in CIELAB space. Experimental Brain Research. 243(10). 209–209.
6.
Lin, Lu, et al.. (2025). A method for detecting the rate of tobacco leaf loosening in tobacco leaf sorting scenarios. Frontiers in Plant Science. 16. 1578317–1578317.
7.
Chao, Ming, et al.. (2025). A lightweight small object detection model for UAV images based on deep semantic integration. Scientific Reports. 15(1). 31888–31888. 1 indexed citations
8.
Gao, Bixuan, et al.. (2024). An interpretable horizontal federated deep learning approach to improve short-term solar irradiance forecasting. Journal of Cleaner Production. 436. 140585–140585. 15 indexed citations
9.
Huang, Xiaobiao, et al.. (2024). Experimental study of hue cancellation and its mechanism exploration. Optics Express. 32(26). 45505–45505.
10.
Yun, Lijun, et al.. (2024). Research on Detection Algorithm of Green Walnut in Complex Environment. Agriculture. 14(9). 1441–1441. 3 indexed citations
11.
Chen, Xue, et al.. (2024). EL-YOLO: An efficient and lightweight low-altitude aerial objects detector for onboard applications. Expert Systems with Applications. 256. 124848–124848. 39 indexed citations
12.
Liu, Xiang, et al.. (2024). Investigating critical brain area for EEG-based binocular color fusion and rivalry with EEGNet. Frontiers in Neuroscience. 18. 1361486–1361486. 3 indexed citations
13.
Zhang, Chunjie, et al.. (2024). YOLO-TS: Detection Loosening Rate of Tobacco Bundles Based on YOLOv8. Applied Engineering in Agriculture. 40(6). 623–634.
14.
Tai, Yonghang, et al.. (2023). Using Beta Rhythm From EEG to Assess Physicians' Operative Skills in Virtual Surgical Training. IEEE Transactions on Human-Machine Systems. 53(4). 688–696. 4 indexed citations
15.
Yun, Lijun, et al.. (2023). A Small Object Detection Algorithm Based on Modulated Deformable Convolution and Large Kernel Convolution. Computational Intelligence and Neuroscience. 2023(1). 2506274–2506274. 9 indexed citations
16.
Tai, Yonghang, et al.. (2021). Automatically Addressing System for Ultrasound-Guided Renal Biopsy Training Based on Augmented Reality. IEEE Journal of Biomedical and Health Informatics. 25(5). 1495–1507. 8 indexed citations
17.
Tai, Yonghang, Chengqi Xia, Jun Peng, et al.. (2019). Towards Virtual VATS, Face, and Construct Evaluation for Peg Transfer Training of Box, VR, AR, and MR Trainer. Journal of Healthcare Engineering. 2019. 1–10. 18 indexed citations
18.
Li, Feiyan, Yonghang Tai, Qiong Li, et al.. (2019). Real-Time Needle Force Modeling for VR-Based Renal Biopsy Training with Respiratory Motion Using Direct Clinical Data. Applied Bionics and Biomechanics. 2019. 1–14. 12 indexed citations
19.
Chen, Zaiqing, et al.. (2019). Changes in Binocular Color Fusion Limit Caused by Different Disparities. IEEE Access. 7. 70088–70101. 11 indexed citations
20.
Huang, Xiaoqiao, Junsheng Shi, Bixuan Gao, et al.. (2019). Forecasting Hourly Solar Irradiance Using Hybrid Wavelet Transformation and Elman Model in Smart Grid. IEEE Access. 7. 139909–139923. 58 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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