Jiajun Lu

1.4k total citations
24 papers, 340 citations indexed

About

Jiajun Lu is a scholar working on Oceanography, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Jiajun Lu has authored 24 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oceanography, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Ocean Engineering. Recurrent topics in Jiajun Lu's work include Underwater Acoustics Research (9 papers), Underwater Vehicles and Communication Systems (7 papers) and Advanced Vision and Imaging (5 papers). Jiajun Lu is often cited by papers focused on Underwater Acoustics Research (9 papers), Underwater Vehicles and Communication Systems (7 papers) and Advanced Vision and Imaging (5 papers). Jiajun Lu collaborates with scholars based in China, United States and Canada. Jiajun Lu's co-authors include David Forsyth, Aditya Deshpande, Min Jin Chong, Jiawei Han, Thomas La Porta, Chao Zhang, Lidan Shou, James J. Little, Donald Murray and Wei Huang and has published in prestigious journals such as Journal of Hazardous Materials, Desalination and Physics Letters A.

In The Last Decade

Jiajun Lu

19 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiajun Lu China 6 187 84 68 57 37 24 340
Lauri Wirola Finland 8 52 0.3× 70 0.8× 27 0.4× 23 0.4× 6 0.2× 10 458
Hao Fan China 10 202 1.1× 11 0.1× 20 0.3× 24 0.4× 2 0.1× 51 332
Frank Staals Netherlands 9 82 0.4× 98 1.2× 21 0.3× 8 0.1× 46 1.2× 39 229
Zhongwen Luo China 9 121 0.6× 14 0.2× 32 0.5× 39 0.7× 4 0.1× 23 299
Kei Hiroi Japan 10 117 0.6× 39 0.5× 25 0.4× 6 0.1× 7 0.2× 49 310
Josh Harguess United States 10 198 1.1× 54 0.6× 5 0.1× 37 0.6× 44 308
Arvin Wen Tsui Taiwan 4 47 0.3× 111 1.3× 19 0.3× 18 0.3× 6 323
Hajer Fradi France 11 303 1.6× 26 0.3× 21 0.3× 25 0.4× 1 0.0× 25 352

Countries citing papers authored by Jiajun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jiajun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiajun Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiajun Lu. A scholar is included among the top collaborators of Jiajun 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 Jiajun Lu. Jiajun 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.
Huang, Wei, et al.. (2025). STNet: Prediction of Underwater Sound Speed Profiles with an Advanced Semi-Transformer Neural Network. Journal of Marine Science and Engineering. 13(7). 1370–1370.
2.
Zhang, Bo, Yunxin Zhang, Bo Kong, et al.. (2025). Enhancing intracellular antibiotic resistance genes removal via the synergistic effect of hydroxyl radicals and singlet oxygen in the electrochemical Membrane-NaClO system. Separation and Purification Technology. 364. 132377–132377.
3.
Wu, Pengfei, Jiajun Lu, Sijia Li, et al.. (2024). Real-time estimation of underwater sound speed profiles with a data fusion convolutional neural network model. Applied Ocean Research. 150. 104088–104088. 4 indexed citations
4.
Hou, Xuan, Yunxin Zhang, Jiajun Lu, et al.. (2024). Removal of intracellular antibiotic resistance genes by activating peroxymonosulfate with Co3O4@CNT catalytic membrane. Desalination. 583. 117711–117711. 5 indexed citations
5.
Peng, Jiebin, Yingyi Huang, Quanquan Shi, et al.. (2024). Dual-Channel Underwater Acoustic Topological Rainbow Trapping Based on Synthetic Dimension. Crystals. 14(4). 311–311. 1 indexed citations
6.
Shi, Quanquan, Xin Zhang, L. W. Luo, et al.. (2024). Viscoelastic material enhancement of underwater sound absorption in higher-order resonators: From low-frequency to ultra-broadband. Physics Letters A. 525. 129932–129932. 4 indexed citations
7.
Huang, Wei, Pengfei Wu, Jiajun Lu, et al.. (2024). Underwater SSP Measurement and Estimation: A Survey. Journal of Marine Science and Engineering. 12(12). 2356–2356. 4 indexed citations
8.
Chu, Yongbao, Jingyi Zhang, Xuan Hou, et al.. (2024). Mitigation of natural organic matter fouling of electrified membranes by pre-coagulation strategies to improve bisphenol A treatment performance. Separation and Purification Technology. 338. 126591–126591. 2 indexed citations
9.
Li, Xiaobo, et al.. (2024). High flexion femoral side remnant preservation positioning technique: a new method for positioning the femoral tunnel in anterior cruciate ligament reconstruction. Journal of Orthopaedic Surgery and Research. 19(1). 189–189. 2 indexed citations
10.
Hou, Xuan, Yunxin Zhang, Min Wang, et al.. (2024). Synergistic singlet oxygen and UV irradiation for efficient intracellular ARGs removal via peroxymonosulfate/catalytic membrane-UV system. Journal of Hazardous Materials. 480. 136385–136385. 2 indexed citations
11.
Lu, Jiajun, Hao Zhang, Pengfei Wu, Sijia Li, & Wei Huang. (2024). Predictive Modeling of Future Full-Ocean Depth SSPs Utilizing Hierarchical Long Short-Term Memory Neural Networks. Journal of Marine Science and Engineering. 12(6). 943–943. 2 indexed citations
12.
Lu, Jiajun, Wei Huang, & Hao Zhang. (2024). Dynamic Prediction of Full-Ocean Depth SSP by a Hierarchical LSTM: An Experimental Result. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 4 indexed citations
13.
Lu, Jiajun. (2023). Research on Prediction of Liver Disease Based on Machine Learning Models. Highlights in Science Engineering and Technology. 68. 21–28. 5 indexed citations
14.
Huang, Wei, Jiajun Lu, Sijia Li, et al.. (2023). Fast Estimation of Full Depth Sound Speed Profile Based on Partial Prior Information. 479–484. 9 indexed citations
15.
Lu, Jiajun, Hrvoje Benko, & Andrew D. Wilson. (2017). Hybrid HFR Depth. 5966–5975. 7 indexed citations
16.
Lu, Jiajun, Fangyan Dong, & Kaoru Hirota. (2015). Location Detection of Informative Bright Region in Tunnel Scenes Using Lighting and Traffic Lane Cues. Journal of Advanced Computational Intelligence and Intelligent Informatics. 19(2). 255–263. 1 indexed citations
17.
Lu, Jiajun & David Forsyth. (2015). Sparse depth super resolution. 2245–2253. 53 indexed citations
18.
Zhang, Chao, Jiawei Han, Lidan Shou, Jiajun Lu, & Thomas La Porta. (2014). Splitter. Proceedings of the VLDB Endowment. 7(9). 769–780. 101 indexed citations
19.
Lu, Jiajun, Fangyan Dong, & Kaoru Hirota. (2013). Gradient-Related Non-Photorealistic Rendering for High Dynamic Range Images. Journal of Advanced Computational Intelligence and Intelligent Informatics. 17(4). 628–636. 1 indexed citations
20.
Little, James J., Jiajun Lu, & Donald Murray. (2002). Selecting stable image features for robot localization using stereo. 2. 1072–1077. 18 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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