Hairong Lv

1.5k total citations
62 papers, 891 citations indexed

About

Hairong Lv is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hairong Lv has authored 62 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 14 papers in Molecular Biology and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hairong Lv's work include Single-cell and spatial transcriptomics (7 papers), Advanced Graph Neural Networks (6 papers) and Topic Modeling (5 papers). Hairong Lv is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Advanced Graph Neural Networks (6 papers) and Topic Modeling (5 papers). Hairong Lv collaborates with scholars based in China, United States and France. Hairong Lv's co-authors include Rui Jiang, Qiao Liu, Xuegong Zhang, Chong Wang, Shengquan Chen, Zhonglin Lin, Qijin Yin, Yunqiang Zhu, Mengmeng Wu and Jin Song Dong and has published in prestigious journals such as Nature Communications, Bioinformatics and Nature Methods.

In The Last Decade

Hairong Lv

57 papers receiving 864 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hairong Lv China 19 273 263 145 123 82 62 891
George Teodoro Brazil 16 185 0.7× 330 1.3× 278 1.9× 175 1.4× 118 1.4× 93 1.0k
Ehsan Kazemi United States 13 94 0.3× 438 1.7× 147 1.0× 174 1.4× 19 0.2× 24 991
Ovidiu Daescu United States 16 111 0.4× 214 0.8× 170 1.2× 149 1.2× 9 0.1× 82 839
Jingyuan Zhang China 16 77 0.3× 523 2.0× 141 1.0× 60 0.5× 98 1.2× 81 928
Tony Pan United States 17 201 0.7× 347 1.3× 286 2.0× 210 1.7× 62 0.8× 72 940
Qi Song China 14 229 0.8× 237 0.9× 200 1.4× 74 0.6× 84 1.0× 56 805
Fenglin Liu China 18 122 0.4× 586 2.2× 446 3.1× 126 1.0× 32 0.4× 62 1.2k
Weijiang Yu China 12 172 0.6× 332 1.3× 168 1.2× 42 0.3× 59 0.7× 27 769
Minhyeok Lee South Korea 18 190 0.7× 302 1.1× 408 2.8× 82 0.7× 18 0.2× 74 1.1k

Countries citing papers authored by Hairong Lv

Since Specialization
Citations

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

Fields of papers citing papers by Hairong Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hairong Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Hairong Lv. A scholar is included among the top collaborators of Hairong Lv 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 Hairong Lv. Hairong Lv 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.
Yin, Qijin, Zijing Gao, Zhen Li, et al.. (2025). CREATE: cell-type-specific cis-regulatory element identification via discrete embedding. Nature Communications. 16(1). 4607–4607.
2.
Chen, Xiaoyang, Keyi Li, Qun Jiang, et al.. (2025). EpiAgent: foundation model for single-cell epigenomics. Nature Methods. 22(11). 2316–2327.
3.
Gao, Yifan, et al.. (2025). A review of recent artificial intelligence for traditional medicine. Journal of Traditional and Complementary Medicine. 15(3). 215–228. 2 indexed citations
4.
Wang, Jinbao, et al.. (2025). FedAGHN: Personalized federated learning with attentive graph hypernetworks. Knowledge-Based Systems. 329. 114355–114355.
5.
Yan, Li, Yunqiang Zhu, Xiumian Hu, et al.. (2024). DDE KGEditor: A data service system for knowledge graph construction in geoscience. Geoscience Data Journal. 1 indexed citations
6.
Jiang, Rui, et al.. (2024). Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4462–4476. 3 indexed citations
7.
Jiang, Rui, Juan Hu, Yang Jiao, et al.. (2024). A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular marker discovery of gliomas. Nature Machine Intelligence. 6(8). 876–891. 19 indexed citations
8.
Xu, Sheng, et al.. (2023). Fossil image identification using deep learning ensembles of data augmented multiviews. Methods in Ecology and Evolution. 14(12). 3020–3034. 12 indexed citations
9.
Hu, Xiumian, Xiaogang Ma, Chao Ma, & Hairong Lv. (2023). The geoscience knowledge system, ontology and knowledge graph for data-driven discovery: Preface. Geoscience Frontiers. 14(5). 101592–101592. 4 indexed citations
10.
Zhang, Xuegong, Lei Wei, Rui Jiang, et al.. (2023). Building digital life systems for future biology and medicine. Quantitative Biology. 11(3). 207–213. 2 indexed citations
11.
Chen, Xiaoyang, Shengquan Chen, Shuang Song, et al.. (2022). Cell type annotation of single-cell chromatin accessibility data via supervised Bayesian embedding. Nature Machine Intelligence. 4(2). 116–126. 58 indexed citations
12.
Qiu, Zhen‐Bin, Chao Zhang, Sijie Chen, et al.. (2022). ITHscore: comprehensive quantification of intra-tumor heterogeneity in NSCLC by multi-scale radiomic features. European Radiology. 33(2). 893–903. 39 indexed citations
13.
Li, Jiaqi, Lei Wei, Xianglin Zhang, et al.. (2021). DISMIR: D eep learning-based noninvasive cancer detection by i ntegrating DNA s equence and methylation information of i ndividual cell-free DNA r eads. Briefings in Bioinformatics. 22(6). 34 indexed citations
14.
Liu, Qiao, et al.. (2020). A Decentralized System for Medical Data Management via Blockchain. 網際網路技術學刊. 21(5). 1335–1345. 2 indexed citations
15.
Wang, Jie, Zhe Wang, Fei Li, et al.. (2019). Joint retina segmentation and classification for early glaucoma diagnosis. Biomedical Optics Express. 10(5). 2639–2639. 32 indexed citations
16.
Lv, Jing, et al.. (2015). Mechanical and electrical properties of mesoporous MCM-41/unsaturated polyester in situ composites. Materials Research Innovations. 19(sup1). S1–199. 1 indexed citations
17.
He, Guangyu, et al.. (2010). Multi-index and self-approximate-optimal operation for a smart electrical power grid. IBM Journal of Research and Development. 54(6). 2:1–2:14. 4 indexed citations
18.
Han, Hui, et al.. (2007). One-Sided Fuzzy SVM Based on Sphere for Imbalanced Data Sets Learning. 4. 166–170. 2 indexed citations
19.
Lv, Hairong, et al.. (2006). Biologic verification based on pressure sensor keyboards and classifier fusion techniques. IEEE Transactions on Consumer Electronics. 52(3). 1057–1063. 26 indexed citations
20.
Lv, Hairong, et al.. (2004). Analytic Model of I–V Characteristics of 4H-SiC MESFETs Based on Multiparameter Mobility Model. IEEE Transactions on Electron Devices. 51(7). 1065–1068. 17 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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