Ting Lu

2.9k total citations · 1 hit paper
97 papers, 2.2k citations indexed

About

Ting Lu is a scholar working on Media Technology, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ting Lu has authored 97 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Media Technology, 31 papers in Computational Mechanics and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ting Lu's work include Remote-Sensing Image Classification (28 papers), Fluid Dynamics and Turbulent Flows (23 papers) and Advanced Image Fusion Techniques (19 papers). Ting Lu is often cited by papers focused on Remote-Sensing Image Classification (28 papers), Fluid Dynamics and Turbulent Flows (23 papers) and Advanced Image Fusion Techniques (19 papers). Ting Lu collaborates with scholars based in China, United States and Iceland. Ting Lu's co-authors include Shutao Li, Leyuan Fang, Weiwei Song, Wei Fu, Jón Atli Benediktsson, Andrew J. Callegari, Ran Cao, Nanjun He, Rupert Klein and Kexin Ding and has published in prestigious journals such as Journal of Fluid Mechanics, IEEE Transactions on Geoscience and Remote Sensing and Journal of Applied Mechanics.

In The Last Decade

Ting Lu

89 papers receiving 2.1k citations

Hit Papers

Hyperspectral Image Classification With Deep Feature Fusi... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting Lu China 20 1.4k 750 635 372 205 97 2.2k
Lina Zhuang China 27 1.8k 1.3× 484 0.6× 1.2k 1.8× 357 1.0× 195 1.0× 61 2.4k
Fulin Luo China 22 1.5k 1.1× 760 1.0× 855 1.3× 122 0.3× 158 0.8× 84 2.3k
Alan D. Stocker United States 14 1.2k 0.8× 515 0.7× 235 0.4× 124 0.3× 308 1.5× 37 1.3k
Xinyi Yu United States 7 1.3k 1.0× 619 0.8× 317 0.5× 153 0.4× 309 1.5× 25 1.6k
Xiangyong Cao China 23 1.3k 0.9× 283 0.4× 1.3k 2.0× 178 0.5× 140 0.7× 81 2.0k
Gary A. Shaw United States 18 2.1k 1.5× 896 1.2× 612 1.0× 249 0.7× 649 3.2× 42 2.9k
Sebastián López Spain 22 749 0.5× 361 0.5× 551 0.9× 70 0.2× 141 0.7× 115 1.3k
Jihao Yin China 18 690 0.5× 267 0.4× 456 0.7× 109 0.3× 203 1.0× 89 1.6k
Renwei Dian China 21 2.5k 1.8× 189 0.3× 2.1k 3.3× 279 0.8× 219 1.1× 47 3.0k
Yan Wu China 24 671 0.5× 208 0.3× 570 0.9× 146 0.4× 1.0k 5.0× 141 1.8k

Countries citing papers authored by Ting Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ting Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Lu. A scholar is included among the top collaborators of Ting 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 Ting Lu. Ting 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.
Liu, Guohua, Ting Lu, Sihui Chen, et al.. (2025). Transforming waste to value: Enhancing battery lifetime prediction using incomplete data samples. Journal of Energy Chemistry. 106. 642–649. 4 indexed citations
2.
Lu, Ting, et al.. (2025). Illumination-Aware Multimodal Hierarchical Fusion Network for RGB-Infrared Object Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14. 2 indexed citations
3.
Ding, Kexin, Ting Lu, Wei Fu, & Leyuan Fang. (2024). Cross-Scene Hyperspectral Image Classification With Consistency-Aware Customized Learning. IEEE Transactions on Circuits and Systems for Video Technology. 35(1). 418–430. 9 indexed citations
4.
Lu, Ting, et al.. (2024). Structure-Adaptive Oriented Object Detection Network for Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 7 indexed citations
5.
Ding, Kexin, Ting Lu, Yuxin Fang, & Shutao Li. (2024). Consistency-Aware Customized Learning for Cross-Scene Hyperspectral Image Classification. 9080–9083. 2 indexed citations
8.
Lu, Ting, et al.. (2021). Non-local Attention Based CNN Model for Aspect Extraction.. Journal of information science and engineering. 37. 1419–1433. 1 indexed citations
9.
Fu, Wei, et al.. (2021). Edge-Guided Recurrent Convolutional Neural Network for Multitemporal Remote Sensing Image Building Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 107 indexed citations
10.
Lu, Ting, et al.. (2021). Clothing Image Retrieval Based on Parts Detection and Segmentation. 53–59. 3 indexed citations
11.
Li, Yu, Ting Lu, & Shutao Li. (2020). Subpixel-Pixel-Superpixel-Based Multiview Active Learning for Hyperspectral Images Classification. IEEE Transactions on Geoscience and Remote Sensing. 58(7). 4976–4988. 33 indexed citations
12.
Shen, Peiping, Kaimin Wang, & Ting Lu. (2020). Outer space branch and bound algorithm for solving linear multiplicative programming problems. Journal of Global Optimization. 78(3). 453–482. 23 indexed citations
13.
Shen, Peiping & Ting Lu. (2018). Regional division and reduction algorithm for minimizing the sum of linear fractional functions. Journal of Inequalities and Applications. 2018(1). 63–63. 22 indexed citations
14.
Chu, Qiang, Xiawei Yang, Wenya Li, et al.. (2018). Impact of surface state in probeless friction stir spot welding of an Al–Li alloy. Science and Technology of Welding & Joining. 24(3). 200–208. 12 indexed citations
15.
Lu, Ting, Shutao Li, Leyuan Fang, Xiuping Jia, & Jón Atli Benediktsson. (2017). From Subpixel to Superpixel: A Novel Fusion Framework for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 55(8). 4398–4411. 71 indexed citations
16.
Lu, Ting, Shutao Li, Leyuan Fang, Lorenzo Bruzzone, & Jón Atli Benediktsson. (2016). Set-to-Set Distance-Based Spectral–Spatial Classification of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 54(12). 7122–7134. 52 indexed citations
17.
Lu, Ting & Shutao Li. (2015). Gradient-guided sparse representation for hyperspectral image denoising. 1128–1131. 1 indexed citations
18.
Dai, Xin, et al.. (2012). Study on Adaptive Threshold Segmentation Method Based on Brightness. PRZEGLĄD ELEKTROTECHNICZNY. 150–152. 2 indexed citations
19.
Lu, Ting. (2002). A formula of active earth pressure including cohesion and adhesion. Rock and Soil Mechanics. 3 indexed citations
20.
Klein, Rupert & Ting Lu. (1992). Vortex filament with axial core structure variation. Applied Mathematics Letters. 5(4). 99–103. 10 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026