Rong Yan

2.5k total citations
80 papers, 1.7k citations indexed

About

Rong Yan is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Rong Yan has authored 80 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 17 papers in Molecular Biology and 16 papers in Artificial Intelligence. Recurrent topics in Rong Yan's work include Advanced Image and Video Retrieval Techniques (18 papers), Image Retrieval and Classification Techniques (16 papers) and Video Analysis and Summarization (8 papers). Rong Yan is often cited by papers focused on Advanced Image and Video Retrieval Techniques (18 papers), Image Retrieval and Classification Techniques (16 papers) and Video Analysis and Summarization (8 papers). Rong Yan collaborates with scholars based in China, United States and Switzerland. Rong Yan's co-authors include Alexander G. Hauptmann, Jelena Tešić, Jun Yang, Apostol Natsev, John R. Smith, Guangchao Geng, Quanyuan Jiang, Lexing Xie, Dean Eckles and Yanglin Li and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Food Chemistry.

In The Last Decade

Rong Yan

69 papers receiving 1.6k citations

Peers

Rong Yan
Jian Yu China
Rong Yan
Citations per year, relative to Rong Yan Rong Yan (= 1×) peers Jian Yu

Countries citing papers authored by Rong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Rong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rong Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Rong Yan. A scholar is included among the top collaborators of Rong Yan 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 Rong Yan. Rong Yan 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.
Hu, Tao, et al.. (2025). Fine-grained vehicle recognition under low light conditions using EfficientNet and image enhancement on LiDAR point cloud data. Scientific Reports. 15(1). 4691–4691. 2 indexed citations
2.
Wang, Vicky Y., et al.. (2025). Deep learning prediction of mammographic breast density using screening data. Scientific Reports. 15(1). 11602–11602. 2 indexed citations
4.
Yan, Rong, et al.. (2025). A multi-feature fusion approach for physical layer authentication in LEO satellites. Computer Communications. 242. 108308–108308.
5.
Yan, Rong, Yuke Wu, Yun‐Wen Wu, et al.. (2025). ZAR1/2‐Regulated Epigenetic Modifications are Essential for Age‐Associated Oocyte Quality Maintenance and Zygotic Activation. Advanced Science. 12(8). e2410305–e2410305. 3 indexed citations
6.
Su, Ruibao, Zhiyan Jiang, Yun‐Wen Wu, et al.. (2025). ZAR1 and ZAR2 orchestrate the dynamics of maternal mRNA polyadenylation during mouse oocyte development. Genome biology. 26(1). 120–120.
7.
Asif, Sohaib, et al.. (2025). FHD-HybridNet: A fuzzy hellinger distance-guided hybrid deep learning framework for robust multiclass brain tumor classification. Biomedical Signal Processing and Control. 113. 108927–108927.
8.
Wu, Yun‐Wen, et al.. (2024). RNA surveillance by the RNA helicase MTR4 determines volume of mouse oocytes. Developmental Cell. 60(1). 85–100.e4. 4 indexed citations
9.
Yan, Rong, et al.. (2024). Multi-omics reveals the role of MCM2 and hnRNP K phosphorylation in mouse renal aging through genomic instability. Experimental Cell Research. 440(1). 114115–114115. 3 indexed citations
10.
Fang, Yanfen, et al.. (2024). Hydrogen peroxide activation by in-situ-loaded CuS/biochar photocatalyst: The critical role of sulfur species in regulating active species. Separation and Purification Technology. 354. 129004–129004. 4 indexed citations
11.
Zhang, Yinli, Huifang Jiang, Jiamin Jin, et al.. (2024). PATL2 mutations affect human oocyte maternal mRNA homeostasis and protein interactions in cell cycle regulation. Cell & Bioscience. 14(1). 157–157.
12.
Wu, Daqing, et al.. (2023). An Adaptive Nutcracker Optimization Approach for Distribution of Fresh Agricultural Products with Dynamic Demands. Agriculture. 13(7). 1430–1430. 8 indexed citations
13.
Zhang, Zhen, Yan Sun, Xuehui Li, et al.. (2023). Multi-omics reveals aging-related pathway in natural aging mouse liver. Heliyon. 9(11). e21011–e21011. 4 indexed citations
14.
Yan, Yajing, et al.. (2023). A Chinese telemedicine-dialogue dataset annotated for named entities. BMC Medical Informatics and Decision Making. 23(1). 264–264. 1 indexed citations
15.
Yang, Weijie, Jiamin Jin, Peipei Ren, et al.. (2021). Cyclophosphamide Exposure Causes Long-Term Detrimental Effect of Oocytes Developmental Competence Through Affecting the Epigenetic Modification and Maternal Factors’ Transcription During Oocyte Growth. Frontiers in Cell and Developmental Biology. 9. 682060–682060. 26 indexed citations
16.
Li, Yu, Zhiping Yin, Rong Yan, et al.. (2020). Strong local moment antiferromagnetic spin fluctuations in V-doped LiFeAs. npj Quantum Materials. 5(1). 3 indexed citations
17.
Wang, Mingyang, Shuhua Yang, Jing Cai, et al.. (2020). Proteomic analysis using iTRAQ technology reveals the toxic effects of zearalenone on the leydig cells of rats. Food and Chemical Toxicology. 141. 111405–111405. 11 indexed citations
18.
Natsev, Apostol, John R. Smith, Jelena Tešić, et al.. (2008). IBM Research TRECVID-2008 Video Retrieval System. TRECVID. 19 indexed citations
19.
Baron, R., Qiao Jin, Yicheng Pan, et al.. (2005). CMU Informedia's TRECVID 2005 Skirmishes. TRECVID. 20 indexed citations
20.
Yan, Rong & Seth Copen Goldstein. (2003). Mobile Memory: Improving memory locality in very large reconfigurable fabrics. 195–204. 1 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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