Hai Lü

2.7k total citations · 1 hit paper
106 papers, 2.0k citations indexed

About

Hai Lü is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Biomedical Engineering. According to data from OpenAlex, Hai Lü has authored 106 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 22 papers in Pathology and Forensic Medicine and 21 papers in Biomedical Engineering. Recurrent topics in Hai Lü's work include Spine and Intervertebral Disc Pathology (18 papers), Medical Imaging and Analysis (18 papers) and Cancer-related Molecular Pathways (10 papers). Hai Lü is often cited by papers focused on Spine and Intervertebral Disc Pathology (18 papers), Medical Imaging and Analysis (18 papers) and Cancer-related Molecular Pathways (10 papers). Hai Lü collaborates with scholars based in China, United States and United Kingdom. Hai Lü's co-authors include Zhihai Su, Yvonne L. Kapila, Paul Dazin, Carter Van Waes, Lianjun Yang, Yan Zhang, Shumao Pang, Praveen Duggal, Xiangning Jiang and Reza Ehsanian and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Hai Lü

95 papers receiving 1.9k citations

Hit Papers

Indole-3-Acetic Acid Alters Intestinal Microbiota and All... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hai Lü China 26 928 312 288 255 235 106 2.0k
Yong‐Wan Kim South Korea 22 762 0.8× 236 0.8× 184 0.6× 277 1.1× 163 0.7× 120 1.9k
Zhenhua Feng China 32 1.1k 1.1× 159 0.5× 133 0.5× 237 0.9× 262 1.1× 189 3.3k
Tam Nguyen United States 18 888 1.0× 256 0.8× 273 0.9× 238 0.9× 119 0.5× 49 1.8k
Qiang Huang China 26 1.1k 1.2× 236 0.8× 503 1.7× 477 1.9× 90 0.4× 165 2.2k
Long Cheng China 24 789 0.9× 208 0.7× 181 0.6× 489 1.9× 116 0.5× 97 1.7k
Shu Wang China 26 519 0.6× 473 1.5× 317 1.1× 433 1.7× 258 1.1× 182 2.3k
Yong Oock Kim South Korea 28 749 0.8× 185 0.6× 208 0.7× 114 0.4× 148 0.6× 150 3.7k
Jian Qin China 25 901 1.0× 211 0.7× 239 0.8× 193 0.8× 72 0.3× 85 1.9k
Donghui Cao China 25 657 0.7× 312 1.0× 98 0.3× 199 0.8× 119 0.5× 109 2.0k
Henry Loeffler‐Wirth Germany 21 1.2k 1.3× 211 0.7× 135 0.5× 209 0.8× 77 0.3× 80 2.0k

Countries citing papers authored by Hai Lü

Since Specialization
Citations

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

Fields of papers citing papers by Hai Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Lü. A scholar is included among the top collaborators of Hai Lü 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 Hai Lü. Hai Lü 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
2.
Huang, Haishan, Ziyang Chen, Yuhan Wang, et al.. (2025). Automated analysis of paraspinal muscles: segmentation and multi-parameter quantification in lumbar CT using convolutional neural network. European Spine Journal. 35(3). 1249–1260.
3.
You, Ke, Lianjun Yang, Zhihai Su, et al.. (2024). Butyric Acid Modulates Gut Microbiota to Alleviate Inflammation and Secondary Bone Loss in Ankylosing Spondylitis. Biomedicines. 13(1). 9–9. 2 indexed citations
4.
Adhikari, Surabhi, Surendrabikram Thapa, Usman Naseem, et al.. (2023). Explainable hybrid word representations for sentiment analysis of financial news. Neural Networks. 164. 115–123. 19 indexed citations
5.
Chen, Ziyang, Zhihai Su, Zhengyan Wang, et al.. (2023). Deep learning‐based detection and classification of lumbar disc herniation on magnetic resonance images. JOR Spine. 6(3). e1276–e1276. 14 indexed citations
6.
Su, Zhihai, Jin Liu, Ziyang Chen, et al.. (2022). Automatic Grading of Disc Herniation, Central Canal Stenosis and Nerve Roots Compression in Lumbar Magnetic Resonance Image Diagnosis. Frontiers in Endocrinology. 13. 890371–890371. 28 indexed citations
7.
Lin, Liyan, Xi Tao, Wei Yang, et al.. (2021). Quantifying Axial Spine Images Using Object-Specific Bi-Path Network. IEEE Journal of Biomedical and Health Informatics. 25(8). 2978–2987. 7 indexed citations
8.
9.
Zhang, Yuzhu, Yang Sun, Dongmei Li, et al.. (2021). Acupuncture for Breast Cancer: A Systematic Review and Meta-Analysis of Patient-Reported Outcomes. Frontiers in Oncology. 11. 646315–646315. 30 indexed citations
10.
Lin, Liyan, Xi Tao, Shumao Pang, et al.. (2020). Multiple Axial Spine Indices Estimation via Dense Enhancing Network With Cross-Space Distance-Preserving Regularization. IEEE Journal of Biomedical and Health Informatics. 24(11). 3248–3257. 10 indexed citations
11.
Wang, Bing, Mei Luo, Yadi Liu, et al.. (2020). Improving sample preparation to investigate lignin intensity of xylem at the cellular level by confocal Raman microspectroscopy of Populus tomentosa. Journal of Forestry Research. 32(5). 2135–2142. 5 indexed citations
12.
Zheng, Lingxiang, et al.. (2017). A Novel Energy-Efficient Approach for Human Activity Recognition. Sensors. 17(9). 2064–2064. 25 indexed citations
13.
Lü, Hai, et al.. (2015). Polo-like kinase 2 acting as a promoter in human tumor cells with an abundance of TAp73. OncoTargets and Therapy. 8. 3475–3475. 14 indexed citations
14.
Lü, Hai, et al.. (2013). Effects of an aqueous extract of Eucommia on articular cartilage in a rat model of osteoarthritis of the knee. Experimental and Therapeutic Medicine. 6(3). 684–688. 27 indexed citations
15.
Yang, Xinping, Hai Lü, Bin Yan, et al.. (2011). ΔNp63 Versatilely Regulates a Broad NF-κB Gene Program and Promotes Squamous Epithelial Proliferation, Migration, and Inflammation. Cancer Research. 71(10). 3688–3700. 101 indexed citations
16.
Lü, Hai, Xinping Yang, Praveen Duggal, et al.. (2011). TNF-α Promotes c-REL/ΔNp63α Interaction and TAp73 Dissociation from Key Genes That Mediate Growth Arrest and Apoptosis in Head and Neck Cancer. Cancer Research. 71(21). 6867–6877. 64 indexed citations
17.
Brown, Matthew S., Michael Y. Hu, Reza Ehsanian, et al.. (2010). CK2 Modulation of NF-κB, TP53, and the Malignant Phenotype in Head and Neck Cancer by Anti-CK2 Oligonucleotides In vitro or In vivo via Sub–50-nm Nanocapsules. Clinical Cancer Research. 16(8). 2295–2307. 71 indexed citations
18.
Cohen, Jonah, Zhong Chen, Shi‐Long Lu, et al.. (2009). Attenuated Transforming Growth Factor β Signaling Promotes Nuclear Factor-κB Activation in Head and Neck Cancer. Cancer Research. 69(8). 3415–3424. 28 indexed citations
19.
Ying, Wang, et al.. (2009). NtCP56, a new cysteine protease in Nicotiana tabacum L., involved in pollen grain development. Journal of Experimental Botany. 60(6). 1569–1577. 32 indexed citations
20.
Zhang, Yan, Hai Lü, Paul Dazin, & Yvonne L. Kapila. (2004). Squamous Cell Carcinoma Cell Aggregates Escape Suspension-induced, p53-mediated Anoikis. Journal of Biological Chemistry. 279(46). 48342–48349. 109 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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