Lin Lu

1.7k total citations · 2 hit papers
48 papers, 1.3k citations indexed

About

Lin Lu is a scholar working on Plant Science, Biomedical Engineering and Nutrition and Dietetics. According to data from OpenAlex, Lin Lu has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 16 papers in Biomedical Engineering and 12 papers in Nutrition and Dietetics. Recurrent topics in Lin Lu's work include GABA and Rice Research (15 papers), Advanced Chemical Sensor Technologies (11 papers) and Food Quality and Safety Studies (8 papers). Lin Lu is often cited by papers focused on GABA and Rice Research (15 papers), Advanced Chemical Sensor Technologies (11 papers) and Food Quality and Safety Studies (8 papers). Lin Lu collaborates with scholars based in China, United States and Singapore. Lin Lu's co-authors include Xianqiao Hu, Sundaram Gunasekaran, Zhiwei Zhu, Zhanqiang Hu, Shiyi Tian, Zhiwei Zhu, Dan Li, Yi‐Cheng Wang, Changyun Fang and R. Seenivasan and has published in prestigious journals such as Journal of The Electrochemical Society, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Lin Lu

45 papers receiving 1.3k citations

Hit Papers

Volatile compounds, affecting factors and evaluation meth... 2020 2026 2022 2024 2020 2022 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
Lin Lu China 19 503 416 290 259 243 48 1.3k
Xianqiao Hu China 19 617 1.2× 361 0.9× 292 1.0× 308 1.2× 278 1.1× 45 1.3k
Zhenbo Wei China 25 890 1.8× 98 0.2× 185 0.6× 284 1.1× 155 0.6× 67 1.4k
Amalia Z. Berna Australia 23 942 1.9× 363 0.9× 173 0.6× 162 0.6× 294 1.2× 48 1.6k
Changhua Xu China 26 389 0.8× 205 0.5× 465 1.6× 107 0.4× 326 1.3× 77 1.6k
Xiaowei Huang China 20 441 0.9× 114 0.3× 272 0.9× 64 0.2× 181 0.7× 67 1.2k
Giorgia Foca Italy 26 590 1.2× 286 0.7× 198 0.7× 210 0.8× 335 1.4× 63 1.7k
Kai Knoerzer Australia 26 367 0.7× 368 0.9× 179 0.6× 371 1.4× 1.1k 4.6× 52 2.4k
Marek Gancarz Poland 25 686 1.4× 285 0.7× 299 1.0× 202 0.8× 425 1.7× 92 1.8k
Joshua Harrington Aheto China 27 736 1.5× 208 0.5× 292 1.0× 169 0.7× 350 1.4× 53 1.5k
Hongxun Wang China 24 267 0.5× 782 1.9× 540 1.9× 218 0.8× 532 2.2× 142 2.2k

Countries citing papers authored by Lin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Lu. A scholar is included among the top collaborators of Lin 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 Lin Lu. Lin 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
2.
Li, Hongyan, Lin Lu, Gaoneng Shao, et al.. (2024). Analysis of rice characteristic volatiles and their influence on rice aroma. Current Research in Food Science. 9. 100794–100794. 10 indexed citations
3.
Kubendhiran, Subbiramaniyan, Sanjay Ballur Prasanna, M.K. Hema, et al.. (2024). Metal-organic framework-derived hierarchical flower-like DyCo-layered double hydroxide amalgamated nitrogen-doped graphene for diphenylamine detection in fruit samples: Theoretical density functional theory interpretation. Sensors and Actuators B Chemical. 423. 136782–136782. 5 indexed citations
4.
Lu, Lin, et al.. (2023). Gait recognition method of infrared human body images based on improved ViT. Journal of Applied Optics. 44(1). 71–78. 2 indexed citations
5.
Hu, Xianqiao, Changyun Fang, Lin Lu, et al.. (2023). Dynamic Changes in Volatiles, Soluble Sugars, and Fatty Acids in Glutinous Rice during Cooking. Foods. 12(8). 1700–1700. 11 indexed citations
6.
Lu, Lin, Zhanqiang Hu, Changyun Fang, & Xianqiao Hu. (2023). Characteristic Flavor Compounds and Functional Components of Fragrant Rice with Different Flavor Types. Foods. 12(11). 2185–2185. 16 indexed citations
7.
Lu, Lin, Zhanqiang Hu, Xianqiao Hu, Dan Li, & Shiyi Tian. (2022). Electronic tongue and electronic nose for food quality and safety. Food Research International. 162(Pt B). 112214–112214. 164 indexed citations breakdown →
8.
Wang, Wei, et al.. (2020). A 10<sup>−9</sup>-order point source transmission test facility. Chinese Optics. 14(2). 390–396. 1 indexed citations
9.
Lu, Lin, et al.. (2020). Local representation and construction of B&B space - a qualitative analysis of Internet blog.. Luyou xuekan. 35(10). 122–134. 1 indexed citations
10.
Hu, Zhanqiang, Hua Yang, Changyun Fang, et al.. (2020). A visualization and quantification method to evaluate the water-absorbing characteristics of rice. Food Chemistry. 331. 127050–127050. 8 indexed citations
11.
Hu, Zhanqiang, Yuexi Yang, Lin Lu, et al.. (2020). Kinetics of water absorption expansion of rice during soaking at different temperatures and correlation analysis upon the influential factors. Food Chemistry. 346. 128912–128912. 36 indexed citations
12.
Lu, Lin & Sundaram Gunasekaran. (2018). Dual-channel ITO-microfluidic electrochemical immunosensor for simultaneous detection of two mycotoxins. Talanta. 194. 709–716. 80 indexed citations
13.
Zhu, Mingxing, Bin Yu, Wanzhang Yang, et al.. (2017). Evaluation of normal swallowing functions by using dynamic high-density surface electromyography maps. BioMedical Engineering OnLine. 16(1). 133–133. 53 indexed citations
14.
Wang, Yi-Cheng, Lin Lu, & Sundaram Gunasekaran. (2017). Biopolymer/gold nanoparticles composite plasmonic thermal history indicator to monitor quality and safety of perishable bioproducts. Biosensors and Bioelectronics. 92. 109–116. 59 indexed citations
15.
Hu, Xianqiao, Changyun Fang, Lin Lu, et al.. (2017). Determination of soluble sugar profile in rice. Journal of Chromatography B. 1058. 19–23. 32 indexed citations
16.
Lu, Lin, et al.. (2017). Numerical investigations of tip clearance flow characteristics of a pumpjet propulsor. International Journal of Naval Architecture and Ocean Engineering. 10(3). 307–317. 37 indexed citations
17.
Zhu, Mingxing, Faya Liang, Oluwarotimi Williams Samuel, et al.. (2017). A pilot study on the evaluation of normal phonating function based on high-density sEMG topographic maps. PubMed. 2017. 1030–1033. 11 indexed citations
18.
Lu, Lin, Xianqiao Hu, Shiyi Tian, Shaoping Deng, & Zhiwei Zhu. (2016). Visualized attribute analysis approach for characterization and quantification of rice taste flavor using electronic tongue. Analytica Chimica Acta. 919. 11–19. 27 indexed citations
19.
Lu, Lin, Shiyi Tian, Shaoping Deng, Zhiwei Zhu, & Xianqiao Hu. (2015). Determination of rice sensory quality with similarity analysis-artificial neural network method in electronic tongue system. RSC Advances. 5(59). 47900–47908. 12 indexed citations
20.
Lu, Lin & Zhiwei Zhu. (2014). Prediction Model for Eating Property of Indica Rice. Journal of Food Quality. 37(4). 274–280. 14 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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