Qingchen Zhang

4.1k total citations · 1 hit paper
117 papers, 3.0k citations indexed

About

Qingchen Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Qingchen Zhang has authored 117 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 20 papers in Molecular Biology. Recurrent topics in Qingchen Zhang's work include Advanced Neural Network Applications (11 papers), Privacy-Preserving Technologies in Data (10 papers) and Tensor decomposition and applications (9 papers). Qingchen Zhang is often cited by papers focused on Advanced Neural Network Applications (11 papers), Privacy-Preserving Technologies in Data (10 papers) and Tensor decomposition and applications (9 papers). Qingchen Zhang collaborates with scholars based in China, Canada and United States. Qingchen Zhang's co-authors include Laurence T. Yang, Zhikui Chen, Peng Li, Hang Yu, M. Jamal Deen, Man Lin, David Armstrong, M. Jamal Deen, Fanyu Bu and Zheng Yan and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Qingchen Zhang

103 papers receiving 2.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives

2021 240 citations Hang Yu, Laurence T. Yang et al. profile →

Peers

Qingchen Zhang

CNC

CVPR

EEE

Lifang He China

Xiaowen Chu Hong Kong

Qi Yu United States

Michał Woźniak Poland

Han Li China

Huaxiang Zhang China

Fei Hao China

Bryan Hooi Singapore

Junhao Wen China

Lifang He China

Qingchen Zhang

2.2k ×1.9

285 ×0.4

CNC

1.0k ×1.6

CVPR

431 ×0.8

163 ×0.4

EEE

Citations per year, relative to Qingchen Zhang Qingchen Zhang (= 1×) peers Lifang He

Countries citing papers authored by Qingchen Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Qingchen Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingchen Zhang

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

Li, Yuxing, et al.. (2025). Cancelable Binary Face Templates Generation Based on Partial Cake-Cutting Transformation and Spherical Hashing. IEEE Internet of Things Journal. 12(15). 30448–30459.

Zhang, Qingchen, et al.. (2025). Layer‐Level Adaptive Gradient Perturbation Protecting Deep Learning Based on Differential Privacy. CAAI Transactions on Intelligence Technology. 10(3). 929–944. 2 indexed citations

Zhang, Qingchen, et al.. (2025). Adaptive differential privacy mechanism for enhanced deep learning model utility and privacy. Neural Networks. 196. 108345–108345.

Li, Xingfeng, et al.. (2024). Hyb_SEnc: An Antituberculosis Peptide Predictor Based on a Hybrid Feature Vector and Stacked Ensemble Learning. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(6). 1897–1910. 5 indexed citations

Zhang, Qingchen, et al.. (2024). System response curve based first‐order optimization algorithms for cyber‐physical‐social intelligence. Concurrency and Computation Practice and Experience. 36(21). 2 indexed citations

Yan, Xiao, Hao Huang, Quanqing Xu, et al.. (2024). Self-Supervised Learning for Graph Dataset Condensation. 3289–3298. 4 indexed citations

Wang, Xinghong, et al.. (2024). A Cloud-Edge Collaboration Framework for Cancer Survival Prediction to Develop Medical Consumer Electronic Devices. IEEE Transactions on Consumer Electronics. 70(3). 5251–5258. 6 indexed citations

Yang, Feng, et al.. (2023). Adaptive Differential Privacy Mechanism Based on Entropy Theory for Preserving Deep Neural Networks. Mathematics. 11(2). 330–330. 15 indexed citations

Li, Xingfeng, Desheng Hu, Qingchen Zhang, et al.. (2023). Music Theory-Inspired Acoustic Representation for Speech Emotion Recognition. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2534–2547. 8 indexed citations

10.

Greenblatt, David J., et al.. (2023). Estimation of Absolute and Relative Body Fat Content Using Noninvasive Surrogates: Can DXA Be Bypassed?. The Journal of Clinical Pharmacology. 63(S2). S35–S47. 1 indexed citations

11.

Yang, Laurence T., et al.. (2022). Blockchain-Powered Tensor Meta-Learning-Driven Intelligent Healthcare System With IoT Assistance. IEEE Transactions on Network Science and Engineering. 10(5). 2503–2513. 14 indexed citations

12.

Wang, Shuling, et al.. (2022). A role distinguishing Bert model for medical dialogue system in sustainable smart city. Sustainable Energy Technologies and Assessments. 55. 102896–102896. 18 indexed citations

13.

Liu, Debin, et al.. (2022). TT-TSVD: A Multi-modal Tensor Train Decomposition with Its Application in Convolutional Neural Networks for Smart Healthcare. ACM Transactions on Multimedia Computing Communications and Applications. 18(1s). 1–17. 12 indexed citations

14.

Xie, Xia & Qingchen Zhang. (2021). An edge-cloud-aided incremental tensor-based fuzzy c-means approach with big data fusion for exploring smart data. Information Fusion. 76. 168–174. 8 indexed citations

15.

Yang, Laurence T., et al.. (2020). Support Multimode Tensor Machine for Multiple Classification on Industrial Big Data. IEEE Transactions on Industrial Informatics. 17(5). 3382–3390. 32 indexed citations

16.

Dai, Cheng, et al.. (2020). Video Scene Segmentation Using Tensor-Train Faster-RCNN for Multimedia IoT Systems. IEEE Internet of Things Journal. 8(12). 9697–9705. 24 indexed citations

17.

Lin, Man, et al.. (2019). Autonomous Power Management With Double-QReinforcement Learning Method. IEEE Transactions on Industrial Informatics. 16(3). 1938–1946. 40 indexed citations

18.

Zhang, Qingchen, Zhikui Chen, Peng Li, et al.. (2019). Deep learning models for diagnosing spleen and stomach diseases in smart Chinese medicine with cloud computing. Concurrency and Computation Practice and Experience. 33(7). 1–1. 43 indexed citations

19.

Zhang, Qingchen, Laurence T. Yang, Zhikui Chen, & Peng Li. (2019). Incremental Deep Computation Model for Wireless Big Data Feature Learning. IEEE Transactions on Big Data. 6(2). 248–257. 23 indexed citations

20.

Zhang, Qingchen, Laurence T. Yang, Zhikui Chen, & Peng Li. (2017). PPHOPCM: Privacy-Preserving High-Order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing. IEEE Transactions on Big Data. 8(1). 25–34. 103 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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