Lu Hou

826 total citations
29 papers, 367 citations indexed

About

Lu Hou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lu Hou has authored 29 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lu Hou's work include Topic Modeling (5 papers), Recommender Systems and Techniques (3 papers) and Multimodal Machine Learning Applications (3 papers). Lu Hou is often cited by papers focused on Topic Modeling (5 papers), Recommender Systems and Techniques (3 papers) and Multimodal Machine Learning Applications (3 papers). Lu Hou collaborates with scholars based in China, Hong Kong and Sweden. Lu Hou's co-authors include James T. Kwok, Jacek M. Żurada, Quanming Yao, Dandan Jia, Lei Xi, Zhenjun Tian, Qun Liu, Lifeng Shang, Wenjie Wang and Xin Jiang and has published in prestigious journals such as Frontiers in Immunology, ACM Computing Surveys and Journal of Cellular Physiology.

In The Last Decade

Lu Hou

27 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Hou China 9 136 113 56 53 52 29 367
Fufeng Li China 14 48 0.4× 120 1.1× 89 1.6× 44 0.8× 61 1.2× 80 640
Eleni I. Georga Greece 13 129 0.9× 25 0.2× 30 0.5× 25 0.5× 108 2.1× 49 660
Alessandra Alaniz Macedo Brazil 9 135 1.0× 61 0.5× 43 0.8× 10 0.2× 22 0.4× 60 325
Michael Adams Germany 11 42 0.3× 17 0.2× 77 1.4× 18 0.3× 91 1.8× 22 499
Ruifeng Ding China 12 97 0.7× 14 0.1× 48 0.9× 18 0.3× 34 0.7× 30 452
S. Hirano Japan 8 55 0.4× 72 0.6× 25 0.4× 44 0.8× 5 0.1× 35 264
T. T. Trang Vietnam 10 110 0.8× 42 0.4× 146 2.6× 32 0.6× 56 1.1× 27 426
Wojciech Książek Poland 8 208 1.5× 40 0.4× 36 0.6× 15 0.3× 65 1.3× 11 483
Ting Shu China 13 62 0.5× 100 0.9× 71 1.3× 14 0.3× 13 0.3× 35 447
Karl Øyvind Mikalsen Norway 11 285 2.1× 65 0.6× 40 0.7× 99 1.9× 16 0.3× 21 441

Countries citing papers authored by Lu Hou

Since Specialization
Citations

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

Fields of papers citing papers by Lu Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Hou. A scholar is included among the top collaborators of Lu Hou 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 Lu Hou. Lu Hou 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, Wenjie, Zheng Liu, Fuli Feng, et al.. (2025). Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 1. ACM Transactions on Information Systems. 43(2). 1–6.
2.
Hou, Lu, Yanjuan Wang, Haitian Fu, et al.. (2025). PSMA-targeted radioligand therapy with [177Lu]Lu-LNC1011 for metastatic castration-resistant prostate cancer: a pilot study. European Journal of Nuclear Medicine and Molecular Imaging. 52(11). 4033–4043.
3.
Li, Xiangyang, Bo Chen, Lu Hou, & Ruiming Tang. (2025). CTRL: Connect Collaborative and Language Model for CTR Prediction. 4(2). 1–23. 1 indexed citations
4.
Liu, Yuanxin, Yi Liu, Yu-Xiang Wang, et al.. (2024). TempCompass: Do Video LLMs Really Understand Videos?. 8731–8772. 7 indexed citations
5.
Bai, Haoli, Lu Hou, Lifeng Shang, et al.. (2024). Visually Guided Generative Text-Layout Pre-training for Document Intelligence. 4713–4730. 3 indexed citations
6.
Ren, Wenting, Bin Liang, Chao Sun, et al.. (2024). A deep learning-based method for the prediction of temporal lobe injury in patients with nasopharyngeal carcinoma. Physica Medica. 121. 103362–103362. 1 indexed citations
7.
Huang, Yali, et al.. (2024). Seasonal succession of endophyte and the association with active ingredients in Rheum palmatum. Microbiology Spectrum. 12(11). e0118424–e0118424. 1 indexed citations
8.
Bai, Haoli, Yuening Li, Zhengzhuo Xu, et al.. (2024). IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. 7716–7741. 5 indexed citations
9.
Hou, Lu, Ke Zhang, Chen Huan, et al.. (2024). The sparing effect of ultra-high dose rate irradiation on the esophagus. Frontiers in Oncology. 14. 1442627–1442627. 6 indexed citations
10.
Tao, Chaofan, Lu Hou, Haoli Bai, et al.. (2023). Structured Pruning for Efficient Generative Pre-trained Language Models. 10880–10895. 3 indexed citations
11.
Bai, Haoli, Zhiguang Liu, Yifeng Luo, et al.. (2023). Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding. 13386–13401. 3 indexed citations
12.
Li, Shiwei, Huifeng Guo, Lu Hou, et al.. (2023). Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4435–4443. 8 indexed citations
13.
Li, Shiwei, et al.. (2023). Embedding Compression in Recommender Systems: A Survey. ACM Computing Surveys. 56(5). 1–21. 7 indexed citations
15.
Dai, Wenliang, Lu Hou, Lifeng Shang, et al.. (2022). Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation. Findings of the Association for Computational Linguistics: ACL 2022. 2383–2395. 38 indexed citations
16.
Jia, Dandan, et al.. (2019). Postinfarction exercise training alleviates cardiac dysfunction and adverse remodeling via mitochondrial biogenesis and SIRT1/PGC‐1α/PI3K/Akt signaling. Journal of Cellular Physiology. 234(12). 23705–23718. 71 indexed citations
17.
Hou, Lu & James T. Kwok. (2018). Loss-aware Weight Quantization of Deep Networks.. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 19 indexed citations
18.
Wang, Wenjie, et al.. (2018). Inspiratory muscle training is associated with decreased postoperative pulmonary complications: Evidence from randomized trials. Journal of Thoracic and Cardiovascular Surgery. 156(3). 1290–1300.e5. 40 indexed citations
19.
Hou, Lu, et al.. (2016). Loss-aware Binarization of Deep Networks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 0. 48 indexed citations
20.
Hou, Lu. (2001). APPLICATION OF SOME ACTUAL EVAPOTRANSPIRATION MODELS IN SIMULATION OF SOIL MOISTURE. 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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