Hongchun Lu

472 total citations
13 papers, 307 citations indexed

About

Hongchun Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hongchun Lu has authored 13 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hongchun Lu's work include Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Hongchun Lu is often cited by papers focused on Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Hongchun Lu collaborates with scholars based in China, Hong Kong and United States. Hongchun Lu's co-authors include Shengwei Tian, Junlong Cheng, Long Yu, Shijia Liu, Xiaojing Kang, Weidong Wu, Xiang Ma, Chengrui Gao, Long Yu and Xiaoyi Lv and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, Neurocomputing and Applied Soft Computing.

In The Last Decade

Hongchun Lu

11 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongchun Lu China 8 169 123 98 52 38 13 307
Qingyue Wei China 5 148 0.9× 144 1.2× 128 1.3× 71 1.4× 51 1.3× 11 404
Yeqi Bai Singapore 6 114 0.7× 131 1.1× 102 1.0× 80 1.5× 45 1.2× 6 321
Gobert Lee Australia 9 140 0.8× 131 1.1× 115 1.2× 35 0.7× 33 0.9× 33 271
Lisa Di Jorio Canada 5 133 0.8× 102 0.8× 163 1.7× 43 0.8× 75 2.0× 9 319
Hui Cui China 3 199 1.2× 119 1.0× 164 1.7× 73 1.4× 45 1.2× 7 335
A. K. M. Rakibul Haque Rafid Australia 10 107 0.6× 144 1.2× 114 1.2× 98 1.9× 26 0.7× 13 320
Khin Yadanar Win Thailand 11 174 1.0× 120 1.0× 223 2.3× 61 1.2× 23 0.6× 16 354
Abin Jose Germany 7 113 0.7× 83 0.7× 93 0.9× 44 0.8× 35 0.9× 22 278
Tianyu Shi China 9 168 1.0× 153 1.2× 207 2.1× 89 1.7× 47 1.2× 16 405

Countries citing papers authored by Hongchun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Hongchun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongchun Lu

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

All Works

13 of 13 papers shown
1.
Lu, Hongchun, et al.. (2025). SRGTNet: Subregion-Guided Transformer Hash Network for Fine-Grained Image Retrieval. IEEE Transactions on Big Data. 11(5). 2388–2400.
2.
Yu, Jiong, et al.. (2024). Dr. CLIP: CLIP-Driven Universal Framework for Zero-Shot Sketch Image Retrieval. 9554–9562. 5 indexed citations
3.
Lu, Hongchun, et al.. (2024). MT-DSNet: Mix-mask teacher–student strategies and dual dynamic selection plug-in module for fine-grained image recognition. Computer Vision and Image Understanding. 249. 104201–104201. 2 indexed citations
4.
Yu, Jiong, et al.. (2023). MAFH: Multilabel aware framework for bit-scalable cross-modal hashing. Knowledge-Based Systems. 279. 110922–110922. 15 indexed citations
5.
Yu, Jiong, et al.. (2023). MSViT: Training Multiscale Vision Transformers for Image Retrieval. IEEE Transactions on Multimedia. 26. 2809–2823. 22 indexed citations
6.
7.
Lu, Hongchun, et al.. (2023). AMLNet: Attention Multibranch Loss CNN Models for Fine-Grained Vehicle Recognition. IEEE Transactions on Vehicular Technology. 73(1). 375–384. 2 indexed citations
8.
Cheng, Junlong, Shengwei Tian, Long Yu, et al.. (2022). DDU-Net: A dual dense U-structure network for medical image segmentation. Applied Soft Computing. 126. 109297–109297. 30 indexed citations
9.
Cheng, Junlong, Shengwei Tian, Long Yu, et al.. (2021). ResGANet: Residual group attention network for medical image classification and segmentation. Medical Image Analysis. 76. 102313–102313. 139 indexed citations
10.
Lu, Hongchun, Shengwei Tian, Long Yu, et al.. (2021). DCACNet: Dual context aggregation and attention-guided cross deconvolution network for medical image segmentation. Computer Methods and Programs in Biomedicine. 214. 106566–106566. 11 indexed citations
11.
Cui, Jia, et al.. (2021). PortraitNET: Photo-realistic portrait cartoon style transfer with self-supervised semantic supervision. Neurocomputing. 465. 114–127. 8 indexed citations
12.
Cheng, Junlong, Shengwei Tian, Long Yu, Hongchun Lu, & Xiaoyi Lv. (2020). Fully convolutional attention network for biomedical image segmentation. Artificial Intelligence in Medicine. 107. 101899–101899. 57 indexed citations
13.
Lu, Hongchun, et al.. (2020). Diagnosis of hepatitis B based on Raman spectroscopy combined with a multiscale convolutional neural network. Vibrational Spectroscopy. 107. 103038–103038. 16 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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2026