Shan Lu

2.0k total citations · 1 hit paper
72 papers, 1.4k citations indexed

About

Shan Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Shan Lu has authored 72 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 12 papers in Management Science and Operations Research. Recurrent topics in Shan Lu's work include Complex Network Analysis Techniques (9 papers), Complex Systems and Time Series Analysis (8 papers) and Child and Adolescent Psychosocial and Emotional Development (7 papers). Shan Lu is often cited by papers focused on Complex Network Analysis Techniques (9 papers), Complex Systems and Time Series Analysis (8 papers) and Child and Adolescent Psychosocial and Emotional Development (7 papers). Shan Lu collaborates with scholars based in China, United States and Germany. Shan Lu's co-authors include Jie Gu, Satoshi Igi, Huiwen Wang, D. Metaxas, Jichang Zhao, Zhengyan Wang, Dimitris Samaras, J. Oliensis, Wei Chen and Jürgen Margraf and has published in prestigious journals such as Computers in Human Behavior, Expert Systems with Applications and IEEE Access.

In The Last Decade

Shan Lu

65 papers receiving 1.3k citations

Hit Papers

An effective intrusion detection approach using SVM with ... 2020 2026 2022 2024 2020 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
Shan Lu China 20 295 229 222 209 201 72 1.4k
Rüdiger Pryss Germany 23 273 0.9× 138 0.6× 227 1.0× 243 1.2× 92 0.5× 204 2.2k
Xia Zhou United States 27 237 0.8× 400 1.7× 426 1.9× 94 0.4× 133 0.7× 123 3.5k
Denzil Ferreira Finland 30 235 0.8× 584 2.6× 374 1.7× 148 0.7× 207 1.0× 94 3.0k
Neal Lathia United Kingdom 23 282 1.0× 113 0.5× 279 1.3× 362 1.7× 192 1.0× 40 2.4k
Judith Masthoff United Kingdom 22 852 2.9× 251 1.1× 364 1.6× 95 0.5× 233 1.2× 148 2.5k
Max Van Kleek United Kingdom 23 331 1.1× 503 2.2× 180 0.8× 52 0.2× 104 0.5× 101 1.7k
Mark Weal United Kingdom 27 602 2.0× 435 1.9× 403 1.8× 61 0.3× 77 0.4× 152 2.7k
Blaine Price United Kingdom 22 457 1.5× 339 1.5× 365 1.6× 56 0.3× 116 0.6× 108 2.4k
James Miller Canada 13 385 1.3× 620 2.7× 440 2.0× 73 0.3× 207 1.0× 30 2.7k
Tibor Bosse Netherlands 18 477 1.6× 86 0.4× 95 0.4× 88 0.4× 351 1.7× 127 1.3k

Countries citing papers authored by Shan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Shan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Lu. A scholar is included among the top collaborators of Shan 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 Shan Lu. Shan Lu 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.
Zhang, Xiaowen, Wei Mao, Yanni Guo, et al.. (2025). Fast CO2 desorption in amine solution using imidazole-based Brönsted acidic ionic liquids as green and efficient catalysts. Fuel. 394. 135130–135130. 2 indexed citations
2.
Wang, P. S., et al.. (2024). Identifying Internet addiction profiles among adolescents using latent profile analysis: Relations to aggression, depression, and anxiety. Journal of Affective Disorders. 359. 78–85. 7 indexed citations
3.
Wang, Huiwen, et al.. (2024). Graphical model for mixed data types. Neurocomputing. 611. 128706–128706.
4.
Hu, Kesong, et al.. (2024). Heterogeneity in the co-occurrence of depression and anxiety among adolescents: Results of latent profile analysis. Journal of Affective Disorders. 357. 77–84. 3 indexed citations
5.
Lu, Shan & Jichang Zhao. (2024). Investor network and stock return comovement: Information-seeking through intragroup and intergroup followings. International Review of Financial Analysis. 93. 103204–103204. 3 indexed citations
6.
Lu, Shan, et al.. (2023). What matters for short videos’ user engagement: A multiblock model with variable screening. Expert Systems with Applications. 218. 119542–119542. 16 indexed citations
7.
Liang, Xi, Chao Liu, Shan Lu, et al.. (2023). Associations between screen media use and young children's inhibitory control: Evidence from behavioral and fNIRS study. Computers in Human Behavior. 152. 108041–108041. 3 indexed citations
8.
Wang, Xiaokang, Shan Lu, Rui Zhou, & Huiwen Wang. (2023). Skeleton estimation of directed acyclic graphs using partial least squares from correlated data. Pattern Recognition. 139. 109460–109460. 6 indexed citations
9.
Wang, Huiwen, et al.. (2023). Nonlinear directed acyclic graph estimation based on the kernel partial correlation coefficient. Information Sciences. 654. 119814–119814. 5 indexed citations
11.
Wang, Zhengyan, et al.. (2018). Children’s Temperament and Maternal Behavioral Control: Origins of Heterogeneity in Developmental Trajectories of Committed Compliance from Infancy to Age 3. Journal of Child and Family Studies. 27(8). 2668–2677. 7 indexed citations
12.
Lu, Shan, Shuqing Hu, Jing Xiao, et al.. (2018). Measurement Invariance of the Depression Anxiety Stress Scales-21 Across Gender in a Sample of Chinese University Students. Frontiers in Psychology. 9. 2064–2064. 77 indexed citations
13.
Lu, Shan, et al.. (2018). Quality of Maternal Parenting of 9-Month-Old Infants Predicts Executive Function Performance at 2 and 3 Years of Age. Frontiers in Psychology. 8. 2293–2293. 38 indexed citations
14.
Liang, Xi, et al.. (2017). Infant motor and cognitive abilities and subsequent executive function. Infant Behavior and Development. 49. 204–213. 37 indexed citations
15.
Chen, Wei, et al.. (2017). Uncertain portfolio selection with high-order moments. Journal of Intelligent & Fuzzy Systems. 33(3). 1397–1411. 22 indexed citations
16.
Lu, Shan, et al.. (2016). The Dynamic Mechanism of Logistics Networking Industry in Jing-Jin-Ji Region of China in the Context of "Internet +". International Journal of u- and e- Service Science and Technology. 9(11). 381–398. 2 indexed citations
17.
Lu, Shan, Xiaodi Zhang, Xiubao Li, et al.. (2015). Black coral as a new environmental recorder: The lead profiles in coral skeletons over the past century. Marine Pollution Bulletin. 101(1). 226–231. 3 indexed citations
18.
Maercker, And re as, Xiao Chi Zhang, Yakov Kochetkov, et al.. (2014). Personal value orientations as mediated predictors of mental health: A three-culture study of Chinese, Russian, and German university students. International Journal of Clinical and Health Psychology. 15(1). 8–17. 68 indexed citations
19.
Wang, Lizhen, Shan Lu, Xiaoyu Liu, et al.. (2013). Biomechanism of impact resistance in the woodpecker’s head and its application. Science China Life Sciences. 56(8). 715–719. 34 indexed citations
20.
Taniguchi, Rin-ichiro, et al.. (2000). Human Interface. Recognition of Local Features for Camera-based Sign-Language Recognition System.. The Journal of The Institute of Image Information and Television Engineers. 54(6). 848–857. 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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