Huijuan Lu

2.3k total citations
109 papers, 1.7k citations indexed

About

Huijuan Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Huijuan Lu has authored 109 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 38 papers in Computer Vision and Pattern Recognition and 16 papers in Molecular Biology. Recurrent topics in Huijuan Lu's work include Machine Learning and ELM (14 papers), Face and Expression Recognition (11 papers) and COVID-19 diagnosis using AI (11 papers). Huijuan Lu is often cited by papers focused on Machine Learning and ELM (14 papers), Face and Expression Recognition (11 papers) and COVID-19 diagnosis using AI (11 papers). Huijuan Lu collaborates with scholars based in China, United States and Japan. Huijuan Lu's co-authors include Ke Yan, Zhigang Gao, Qun Jin, Junying Chen, Yu Xue, Minchao Ye, Yuntao Qian, Yu Xue, Wenbin Zheng and Qin Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Huijuan Lu

92 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Huijuan Lu China	24	716	409	272	190	155	109	1.7k
Jiawei Luo China	15	720 1.0×	435 1.1×	265 1.0×	25 0.1×	106 0.7×	71	2.1k
Xudong Sun China	16	359 0.5×	106 0.3×	618 2.3×	91 0.5×	169 1.1×	63	1.7k
Shengwei Tian China	22	646 0.9×	121 0.3×	728 2.7×	53 0.3×	113 0.7×	137	2.0k
Long Yu China	20	603 0.8×	120 0.3×	554 2.0×	52 0.3×	72 0.5×	153	1.7k
Khaled Rasheed United States	21	683 1.0×	238 0.6×	273 1.0×	27 0.1×	142 0.9×	91	2.0k
Hongfu Liu China	29	1.4k 1.9×	158 0.4×	1.2k 4.4×	51 0.3×	103 0.7×	109	2.7k
Jianfei Chen China	15	514 0.7×	62 0.2×	282 1.0×	60 0.3×	141 0.9×	77	1.3k
Yun Li China	17	659 0.9×	94 0.2×	326 1.2×	28 0.1×	146 0.9×	106	1.4k
Pai‐Hsuen Chen Taiwan	4	502 0.7×	175 0.4×	431 1.6×	32 0.2×	96 0.6×	4	1.3k
Chao Xu China	19	146 0.2×	326 0.8×	480 1.8×	40 0.2×	213 1.4×	138	1.8k

Countries citing papers authored by Huijuan Lu

Since Specialization

Citations

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

Fields of papers citing papers by Huijuan Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huijuan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Huijuan Lu. A scholar is included among the top collaborators of Huijuan Lu 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 Huijuan Lu. Huijuan Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Peng, Lishan, Yongjie Bai, Zehui Liu, et al.. (2024). Optimizing the size and electronic effects of core-shell heterostructures via well-constructed Ru clusters encapsulated in N-doped carbon layers. Chinese Chemical Letters. 36(12). 110573–110573. 6 indexed citations

Chen, Zhongyue, Ying Tang, Xiaoqing Wu, et al.. (2024). Optimization of Computing Power Network Routing Strategies based on Multi-Agent Soft Actor-Critic. 426–430.

Lu, Huijuan, et al.. (2023). A cross-modal deep metric learning model for disease diagnosis based on chest x-ray images. Multimedia Tools and Applications. 82(21). 33421–33442. 12 indexed citations

Lu, Huijuan, et al.. (2023). Deep learning based classification of multi-label chest X-ray images via dual-weighted metric loss. Computers in Biology and Medicine. 157. 106683–106683. 27 indexed citations

Lu, Huijuan, et al.. (2023). A semi-supervised medical image classification method based on combined pseudo-labeling and distance metric consistency. Multimedia Tools and Applications. 83(11). 33313–33331. 6 indexed citations

Gao, Zhigang, et al.. (2022). Protecting Location Privacy of Users Based on Trajectory Obfuscation in Mobile Crowdsensing. IEEE Transactions on Industrial Informatics. 18(9). 6290–6299. 27 indexed citations

Li, Junxian, Lei Xu, Weijing Zhao, et al.. (2022). Serum IL‐17A concentration and a IL17RA single nucleotide polymorphism contribute to the risk of autoimmune type 1 diabetes. Diabetes/Metabolism Research and Reviews. 38(6). e3547–e3547. 10 indexed citations

Liu, Peng, et al.. (2022). Blockchain and UAV‐Enabled Signal Source Identification with Edge Computing and Wireless Signal‐Aerial Image Fusion. Wireless Communications and Mobile Computing. 2022(1). 5 indexed citations

Lu, Huijuan, et al.. (2022). A Defense Method against Backdoor Attacks in Neural Networks Using an Image Repair Technique. 34. 375–380.

10.

Lin, Bo, Jiarui Zhang, Huijuan Lu, et al.. (2020). Immunoreactivity and neutralization study of Chinese Bungarus multicinctus antivenin and lab-prepared anti-bungarotoxin antisera towards purified bungarotoxins and snake venoms. PLoS neglected tropical diseases. 14(11). e0008873–e0008873. 18 indexed citations

11.

Lu, Huijuan, Yige Xu, Minchao Ye, et al.. (2019). Learning misclassification costs for imbalanced classification on gene expression data. BMC Bioinformatics. 20(S25). 681–681. 32 indexed citations

12.

Chen, Jianguo, Huijuan Lu, Hangxia Zhou, & Yongxia Zhou. (2019). Exploration on Curriculum Teaching Based on OBE and AI. 385–389. 3 indexed citations

13.

Wang, Jingwen, Huijuan Lu, Ke Yan, & Minchao Ye. (2018). An Improved Tikhonov Method for Magnetic Induction Tomography. 718–722. 2 indexed citations

14.

Chen, Yunzhi, Huijuan Lu, & Lanjuan Li. (2017). Automatic ICD-10 coding algorithm using an improved longest common subsequence based on semantic similarity. PLoS ONE. 12(3). e0173410–e0173410. 45 indexed citations

15.

Liao, Zhijun, Yong Huang, Xiaodong Yue, et al.. (2016). In SilicoPrediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches. BioMed Research International. 2016. 1–12. 32 indexed citations

16.

Ju, Ying, et al.. (2016). Accurate Identification of Cancerlectins through Hybrid Machine Learning Technology. International Journal of Genomics. 2016. 1–11. 25 indexed citations

17.

Lu, Huijuan, Lei Yang, Ke Yan, Yu Xue, & Zhigang Gao. (2016). A cost-sensitive rotation forest algorithm for gene expression data classification. Neurocomputing. 228. 270–276. 60 indexed citations

18.

Wei, Leyi, Quan Zou, Minghong Liao, Huijuan Lu, & Yuming Zhao. (2015). A novel machine learning method for cytokine-receptor interaction prediction. Combinatorial Chemistry & High Throughput Screening. 19(2). 144–152. 47 indexed citations

19.

Li, Xiaobo, Huijuan Lu, & Mingjun Wang. (2013). A Hybrid Gene Selection Method for Multi-category Tumor Classification using Microarray Data. SHILAP Revista de lepidopterología. 5 indexed citations

20.

Lu, Huijuan, et al.. (2012). A Dataset Splitting Based Neural Network Ensemble Method for Tumor Classification. International Journal of Digital Content Technology and its Applications. 6(5). 167–173. 3 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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