Yaochong Li

567 total citations
23 papers, 381 citations indexed

About

Yaochong Li is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yaochong Li has authored 23 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yaochong Li's work include Quantum Computing Algorithms and Architecture (14 papers), Quantum Information and Cryptography (10 papers) and Quantum-Dot Cellular Automata (7 papers). Yaochong Li is often cited by papers focused on Quantum Computing Algorithms and Architecture (14 papers), Quantum Information and Cryptography (10 papers) and Quantum-Dot Cellular Automata (7 papers). Yaochong Li collaborates with scholars based in China, United Kingdom and Macao. Yaochong Li's co-authors include Ri‐Gui Zhou, Jia Luo, WenWen Hu, Ruqing Xu, Ruiqing Xu, She-Xiang Jiang, Ping Fan, Hou Ian, Gaofeng Luo and Guangzhong Liu and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Yaochong Li

21 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaochong Li China 9 268 73 72 40 39 23 381
Jia Luo China 14 450 1.7× 85 1.2× 176 2.4× 41 1.0× 168 4.3× 25 577
Dmytro Bondarenko Ukraine 4 419 1.6× 150 2.1× 70 1.0× 76 1.9× 13 0.3× 11 519
Neil G. Dickson Canada 10 320 1.2× 131 1.8× 106 1.5× 33 0.8× 35 0.9× 12 495
Juan P. Brito Spain 10 102 0.4× 49 0.7× 14 0.2× 39 1.0× 40 1.0× 31 213
Xiaolong Zhang China 10 52 0.2× 24 0.3× 9 0.1× 19 0.5× 146 3.7× 39 318
Kerstin Beer Germany 4 344 1.3× 92 1.3× 67 0.9× 66 1.6× 11 0.3× 5 403
Mitsuru Matsui Japan 9 245 0.9× 34 0.5× 16 0.2× 79 2.0× 135 3.5× 34 349
Mitsugu Iwamoto Japan 14 259 1.0× 25 0.3× 50 0.7× 261 6.5× 137 3.5× 52 515

Countries citing papers authored by Yaochong Li

Since Specialization
Citations

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

Fields of papers citing papers by Yaochong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaochong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yaochong Li. A scholar is included among the top collaborators of Yaochong Li 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 Yaochong Li. Yaochong Li 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.
Li, Yaochong, et al.. (2025). HQRNN-FD: A Hybrid Quantum Recurrent Neural Network for Fraud Detection. Entropy. 27(9). 906–906.
2.
Zhou, Ri‐Gui, et al.. (2025). A self-supervised learning method for Raman spectroscopy based on masked autoencoders. Expert Systems with Applications. 292. 128576–128576. 1 indexed citations
3.
Liu, Jiaxin, et al.. (2025). Enhanced underwater object detection with YOLO-LDFE: a model for improved accuracy with balanced efficiency. Journal of Real-Time Image Processing. 22(2). 3 indexed citations
4.
Li, Yaochong, et al.. (2025). QMLSC: A quantum multimodal learning model for sentiment classification. Information Fusion. 120. 103049–103049. 1 indexed citations
5.
Zhou, Ri‐Gui, et al.. (2024). RepDwNet: Lightweight Deep Learning Model for Special Biological Blood Raman Spectra Analysis. Chemosensors. 12(2). 29–29. 2 indexed citations
6.
Zhou, Ri‐Gui, et al.. (2024). Towards an efficient variational quantum algorithm for solving linear equations. Communications in Theoretical Physics. 76(11). 115103–115103. 1 indexed citations
7.
Zhou, Ri‐Gui, et al.. (2023). Raman ConvMSANet: A High-Accuracy Neural Network for Raman Spectroscopy Blood and Semen Identification. ACS Omega. 8(33). 30421–30431. 9 indexed citations
8.
Zhou, Ri‐Gui, et al.. (2022). Asymmetric scaling of a quantum image based on bilinear interpolation with arbitrary scaling ratio. Quantum Information Processing. 21(7). 4 indexed citations
9.
Xu, Ruiqing, Ri‐Gui Zhou, Yaochong Li, She-Xiang Jiang, & Hou Ian. (2022). Enhancing robustness of noisy qutrit teleportation with Markovian memory. EPJ Quantum Technology. 9(1). 15 indexed citations
10.
Li, Yaochong, Ri‐Gui Zhou, Ruiqing Xu, et al.. (2022). Implementing Graph-Theoretic Feature Selection by Quantum Approximate Optimization Algorithm. IEEE Transactions on Neural Networks and Learning Systems. 35(2). 2364–2377. 15 indexed citations
11.
Chen, Xiang, Ri‐Gui Zhou, Xin Li, & Yaochong Li. (2022). Quantum network coding based on six-qubit entangled state. Modern Physics Letters B. 36(13). 1 indexed citations
12.
Luo, Jia, Ri‐Gui Zhou, Yaochong Li, & Guangzhong Liu. (2021). Information Hiding Scheme Based on Quantum Generative Adversarial Network. Journal of Computer-Aided Design & Computer Graphics. 33(7). 983–990. 1 indexed citations
13.
Luo, Jia, Ri‐Gui Zhou, WenWen Hu, Yaochong Li, & Gaofeng Luo. (2021). Quantum watermarking based on threshold segmentation using quantum informational entropy. Chinese Physics B. 31(4). 40302–40302. 5 indexed citations
14.
Zhou, Ri‐Gui, et al.. (2021). One-Dimensional Deep Convolutional Neural Network for Mineral Classification from Raman Spectroscopy. Neural Processing Letters. 54(1). 677–690. 43 indexed citations
15.
Li, Yaochong, Ri‐Gui Zhou, Ruiqing Xu, Jia Luo, & She-Xiang Jiang. (2020). A Quantum Mechanics-Based Framework for EEG Signal Feature Extraction and Classification. IEEE Transactions on Emerging Topics in Computing. 10(1). 211–222. 57 indexed citations
16.
Li, Yaochong, Ri‐Gui Zhou, Ruqing Xu, Jia Luo, & WenWen Hu. (2020). A quantum deep convolutional neural network for image recognition. Quantum Science and Technology. 5(4). 44003–44003. 152 indexed citations
17.
Li, Yaochong, Ri‐Gui Zhou, Ruiqing Xu, WenWen Hu, & Ping Fan. (2020). Quantum algorithm for the nonlinear dimensionality reduction with arbitrary kernel. Quantum Science and Technology. 6(1). 14001–14001. 24 indexed citations
18.
Zhou, Ri‐Gui, et al.. (2020). A Neural Network Architecture for Information Extraction in Chinese Drug Package Insert. IEEE Access. 8. 51256–51264. 2 indexed citations
19.
Luo, Jia, Ri‐Gui Zhou, Gaofeng Luo, Yaochong Li, & Guangzhong Liu. (2019). Traceable Quantum Steganography Scheme Based on Pixel Value Differencing. Scientific Reports. 9(1). 15134–15134. 12 indexed citations
20.
Hu, WenWen, Ri‐Gui Zhou, & Yaochong Li. (2019). Quantum Watermarking Based on Neighbor Mean Interpolation and LSB Steganography Algorithms. International Journal of Theoretical Physics. 58(7). 2134–2157. 6 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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