Dongfen Li

865 total citations
58 papers, 590 citations indexed

About

Dongfen Li is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dongfen Li has authored 58 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 27 papers in Atomic and Molecular Physics, and Optics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dongfen Li's work include Quantum Computing Algorithms and Architecture (31 papers), Quantum Information and Cryptography (30 papers) and Quantum Mechanics and Applications (27 papers). Dongfen Li is often cited by papers focused on Quantum Computing Algorithms and Architecture (31 papers), Quantum Information and Cryptography (30 papers) and Quantum Mechanics and Applications (27 papers). Dongfen Li collaborates with scholars based in China, United States and New Zealand. Dongfen Li's co-authors include Mingzhe Liu, Ruijin Wang, Xiaochuan Tang, Lirong Yin, Fengli Zhang, Wenfeng Zheng, Haoran Liu, Ruili Wang, Edward Yellakuor Baagyere and Yu Wang and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Dongfen Li

51 papers receiving 563 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongfen Li China 13 337 212 100 77 57 58 590
Sébastien Adam France 14 171 0.5× 36 0.2× 11 0.1× 227 2.9× 26 0.5× 40 572
Zheng Zhao China 14 206 0.6× 12 0.1× 91 0.9× 171 2.2× 61 1.1× 65 673
Chenhui Li China 11 108 0.3× 120 0.6× 10 0.1× 241 3.1× 14 0.2× 89 544
Byungsoo Kim South Korea 15 59 0.2× 21 0.1× 16 0.2× 287 3.7× 40 0.7× 49 652
Jiarui Fang China 15 158 0.5× 197 0.9× 3 0.0× 203 2.6× 35 0.6× 35 1.0k
Dimitrios Michail Greece 13 108 0.3× 9 0.0× 14 0.1× 72 0.9× 36 0.6× 41 475
Xiaonan Lü United States 15 153 0.5× 135 0.6× 5 0.1× 343 4.5× 23 0.4× 36 833
Hiroshi Inoue Japan 16 208 0.6× 10 0.0× 32 0.3× 68 0.9× 36 0.6× 83 839
Chen Dong China 12 188 0.6× 225 1.1× 3 0.0× 24 0.3× 18 0.3× 67 625

Countries citing papers authored by Dongfen Li

Since Specialization
Citations

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

Fields of papers citing papers by Dongfen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongfen Li

This figure shows the co-authorship network connecting the top 25 collaborators of Dongfen Li. A scholar is included among the top collaborators of Dongfen 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 Dongfen Li. Dongfen 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.
Wang, Mingyue, Yong Ma, Biao Cai, et al.. (2025). Knowledge enhancement and disentanglement learning for video captioning. Knowledge-Based Systems. 326. 114003–114003.
2.
Tang, Xiaochuan, Xiaojun Yuan, Dongfen Li, et al.. (2025). Mamba for Landslide Detection: A Lightweight Model for Mapping Landslides With Very High-Resolution Images. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–17.
3.
Tang, Xiaochuan, et al.. (2025). Promoting data sharing diffusion in the automotive industry: An evolutionary game model on complex networks. Expert Systems with Applications. 286. 127992–127992. 3 indexed citations
4.
Zhang, Jinglan, et al.. (2025). A multi-scale information fusion medical image segmentation network based on convolutional kernel coupled updata mechanism. Computers in Biology and Medicine. 187. 109723–109723. 3 indexed citations
5.
Tang, Xiaochuan, et al.. (2024). An evolutionary game model for indirect data sharing in manufacturing big data consortium. Expert Systems with Applications. 255. 124807–124807. 6 indexed citations
6.
Tang, Xiaochuan, et al.. (2024). FedLD: Federated Learning for Privacy-Preserving Collaborative Landslide Detection. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 2 indexed citations
7.
Jiang, Yangyang, et al.. (2024). Using Eight Quantum Entangled States to Achieve Bidirectional Controlled Teleportation in a Noisy Environment. International Journal of Theoretical Physics. 63(4). 3 indexed citations
8.
Sun, Yuchen, et al.. (2024). Scalable quantum convolutional neural network for image classification. Physica A Statistical Mechanics and its Applications. 657. 130226–130226. 8 indexed citations
9.
Li, Dongfen, et al.. (2024). Quantum classical hybrid convolutional neural networks for breast cancer diagnosis. Scientific Reports. 14(1). 24699–24699. 7 indexed citations
10.
Liu, Mingzhe, et al.. (2024). Unsupervised and Self-supervised Learning in Low-Dose Computed Tomography Denoising: Insights from Training Strategies. Journal of Imaging Informatics in Medicine. 38(2). 902–930.
11.
Li, Dongfen, et al.. (2023). A Lightweight and Partitioned CNN Algorithm for Multi-Landslide Detection in Remote Sensing Images. Applied Sciences. 13(15). 8583–8583. 12 indexed citations
12.
Li, Dongfen, Ruijin Wang, Xiong Li, et al.. (2023). Ubiquitous intelligent federated learning privacy-preserving scheme under edge computing. Future Generation Computer Systems. 144. 205–218. 29 indexed citations
13.
Li, Dongfen, et al.. (2023). CNN and Transformer Fusion for Remote Sensing Image Semantic Segmentation. Remote Sensing. 15(18). 4455–4455. 23 indexed citations
14.
Yang, Xiaolong, et al.. (2023). Research on Key Technologies of Controlled Bidirectional Quantum Teleportation. International Journal of Theoretical Physics. 62(4). 2 indexed citations
15.
Li, Dongfen, et al.. (2023). Automatic Detection of Forested Landslides: A Case Study in Jiuzhaigou County, China. Remote Sensing. 15(15). 3850–3850. 20 indexed citations
16.
Li, Dongfen, et al.. (2023). A Scheme for Quantum Teleportation and Remote Quantum State Preparation of IoT Multiple Devices. Sensors. 23(20). 8475–8475. 2 indexed citations
17.
Wang, Hua, et al.. (2022). Multimodal Brain Image Fusion Based on Improved Rolling Guidance Filter and Wiener Filter. Computational and Mathematical Methods in Medicine. 2022. 1–17. 3 indexed citations
18.
Liu, Haoran, Mingzhe Liu, Dongfen Li, et al.. (2022). Recent Advances in Pulse-Coupled Neural Networks with Applications in Image Processing. Electronics. 11(20). 3264–3264. 82 indexed citations
19.
Tang, Xiaochuan, et al.. (2022). Automatic Detection of Coseismic Landslides Using a New Transformer Method. Remote Sensing. 14(12). 2884–2884. 74 indexed citations
20.
Li, Dongfen, et al.. (2022). Hierarchical Quantum Information Splitting of an Arbitrary Two-Qubit State Based on a Decision Tree. Mathematics. 10(23). 4571–4571. 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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