Kevin Lü

2.8k total citations · 1 hit paper
76 papers, 1.3k citations indexed

About

Kevin Lü is a scholar working on Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Kevin Lü has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 23 papers in Computer Networks and Communications and 14 papers in Sociology and Political Science. Recurrent topics in Kevin Lü's work include Digital Marketing and Social Media (11 papers), Face and Expression Recognition (8 papers) and Advanced Database Systems and Queries (8 papers). Kevin Lü is often cited by papers focused on Digital Marketing and Social Media (11 papers), Face and Expression Recognition (8 papers) and Advanced Database Systems and Queries (8 papers). Kevin Lü collaborates with scholars based in United Kingdom, China and United States. Kevin Lü's co-authors include Abdulaziz Elwalda, Xiaoying Li, Maged Ali, Lihua Zhou, Shen Duan, Yijun Zhao, Siyun Chen, Zhongzhi Shi, Ping Luo and Lizhen Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and Journal of Business Research.

In The Last Decade

Kevin Lü

69 papers receiving 1.3k citations

Hit Papers

The impact of online celebrity in livestreaming E-commerc... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Lü United Kingdom 16 487 426 327 309 180 76 1.3k
Yezheng Liu China 21 472 1.0× 433 1.0× 504 1.5× 276 0.9× 106 0.6× 101 1.7k
Ashish Kumar India 13 879 1.8× 510 1.2× 257 0.8× 344 1.1× 164 0.9× 48 1.6k
Jianshan Sun China 18 674 1.4× 316 0.7× 884 2.7× 216 0.7× 111 0.6× 77 2.1k
Yuanchun Jiang China 19 188 0.4× 250 0.6× 531 1.6× 111 0.4× 111 0.6× 93 1.3k
Jae Kyeong Kim South Korea 20 422 0.9× 432 1.0× 518 1.6× 148 0.5× 308 1.7× 57 2.1k
Hong Joo Lee South Korea 12 311 0.6× 142 0.3× 180 0.6× 223 0.7× 81 0.5× 60 960
Anuja Arora India 17 539 1.1× 147 0.3× 473 1.4× 120 0.4× 112 0.6× 84 1.4k
Jeffrey Parsons Canada 25 465 1.0× 202 0.5× 755 2.3× 244 0.8× 181 1.0× 88 2.1k
Balaji Padmanabhan United States 24 240 0.5× 224 0.5× 582 1.8× 96 0.3× 111 0.6× 83 1.7k
Michele Gorgoglione Italy 16 196 0.4× 225 0.5× 218 0.7× 101 0.3× 200 1.1× 38 1.1k

Countries citing papers authored by Kevin Lü

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Lü. A scholar is included among the top collaborators of Kevin 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 Kevin Lü. Kevin 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
1.
Lü, Kevin, Brett A. Wagner, Michael S. Tift, et al.. (2025). Carbon Monoxide Stimulates Chondrocyte Mitochondria and Protects Mitochondria During Cartilage Injury. Antioxidants. 14(5). 514–514. 1 indexed citations
2.
Duan, Shen, et al.. (2025). Effect of Human Images in Advertisements on Consumers’ Experiential Purchase Intentions. Journal of Advertising. 1–21. 1 indexed citations
3.
Lü, Kevin, et al.. (2024). Machines vs. humans: The evolving role of artificial intelligence in livestreaming e-commerce. Journal of Business Research. 188. 115077–115077. 10 indexed citations
4.
Lü, Kevin, et al.. (2024). Constant or inconstant? The time-varying effect of danmaku on user engagement in online video platforms. Internet Research. 35(2). 771–797. 5 indexed citations
5.
Lü, Kevin, Douglas C. Fredericks, Brett A. Wagner, et al.. (2024). A reciprocal relationship between mitochondria and lipid peroxidation determines the chondrocyte intracellular redox environment. Redox Biology. 75. 103306–103306. 4 indexed citations
6.
Rosati, Barbara, Kevin Lü, Sara Maimouni, et al.. (2024). Propionyl-CoA carboxylase subunit B regulates anti-tumor T cells in a pancreatic cancer mouse model. eLife. 13.
7.
Lü, Kevin, et al.. (2023). Multiview Subspace Clustering With Multilevel Representations and Adversarial Regularization.. PubMed. 34(12). 10279–10293. 1 indexed citations
8.
Lü, Kevin, Greta Kaluževičiūtė, & William J. Sharp. (2022). Things Can Only Get Stranger: Theoretical and Clinical Reflections on Netflix's Stranger Things. The Journal of Popular Culture. 55(3). 611–631.
9.
Lü, Kevin, et al.. (2022). Establishing Trust in E-Commerce Through Website Design Elements. International Journal of Technology and Human Interaction. 18(1). 1–24. 4 indexed citations
10.
Duan, Shen, et al.. (2021). The impact of online celebrity in livestreaming E-commerce on purchase intention from the perspective of emotional contagion. Journal of Retailing and Consumer Services. 63. 102733–102733. 229 indexed citations breakdown →
11.
Zhou, Lihua, et al.. (2021). Deep Multiple Auto-Encoder-Based Multi-view Clustering. Data Science and Engineering. 6(3). 323–338. 43 indexed citations
12.
Lü, Kevin, et al.. (2020). Investigation of Fintech Services Adoption in the Banking Industry. SSRN Electronic Journal. 3 indexed citations
13.
Lü, Kevin, et al.. (2019). Electronic word-of-mouth in the mobile service sector: the role of service quality and customer emotional response. International Journal of Services and Operations Management. 34(1). 81–81.
14.
Zhu, Hong, et al.. (2016). VParC: A Compression Scheme for Numeric Data in Column-Oriented Databases. The International Arab Journal of Information Technology. 13. 1–11. 4 indexed citations
15.
Zhou, Lihua, Kevin Lü, Peizhong Yang, Lizheng Wang, & Bing Kong. (2015). An approach for overlapping and hierarchical community detection in social networks based on coalition formation game theory. Expert Systems with Applications. 42(24). 9634–9646. 52 indexed citations
16.
Tan, Yihong, Kevin Lü, & Yaping Lin. (2012). Organisation and management of shared documents in super-peer networks based semantic hierarchical cluster trees. Peer-to-Peer Networking and Applications. 5(3). 292–308. 12 indexed citations
17.
Luo, Ping, Guoxing Zhan, Qing He, Zhongzhi Shi, & Kevin Lü. (2007). On Defining Partition Entropy by Inequalities. IEEE Transactions on Information Theory. 53(9). 3233–3239. 5 indexed citations
18.
Lü, Kevin, et al.. (2002). Performance modelling and metrics of database-backed Web sites. 494–498. 5 indexed citations
19.
Lü, Kevin, et al.. (2000). Web Databases and Related Performance Issues.. International Conference on Enterprise Information Systems. 86(2). 90–96. 1 indexed citations
20.
Williams, M. Howard, et al.. (1999). An analytical tool for predicting the performance of parallel relational databases. Concurrency Practice and Experience. 11(11). 635–653. 4 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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