Guanglin Lan

421 total citations · 1 hit paper
7 papers, 309 citations indexed

About

Guanglin Lan is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Guanglin Lan has authored 7 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Electrical and Electronic Engineering, 3 papers in Biomedical Engineering and 3 papers in Materials Chemistry. Recurrent topics in Guanglin Lan's work include Biodiesel Production and Applications (3 papers), Catalytic Processes in Materials Science (3 papers) and Advanced Combustion Engine Technologies (2 papers). Guanglin Lan is often cited by papers focused on Biodiesel Production and Applications (3 papers), Catalytic Processes in Materials Science (3 papers) and Advanced Combustion Engine Technologies (2 papers). Guanglin Lan collaborates with scholars based in China. Guanglin Lan's co-authors include Dongli Tan, Zhiqing Zhang, Junshuai Lv, Xiaoyu Ou, Yanhui Chen, Jian Li, Rui Dong, Jie Hu, Su Wang and Yanhua Jiang and has published in prestigious journals such as Journal of Power Sources, Energy and Fuel.

In The Last Decade

Guanglin Lan

6 papers receiving 302 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Performance optimization of a diesel engine fueled with hydrogen/biodiesel with water addition based on the response surface methodology

2022 182 citations Dongli Tan, Junshuai Lv et al. Energy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guanglin Lan China	5	168	138	123	111	56	7	309
Ziheng Zhao China	9	147 0.9×	125 0.9×	117 1.0×	117 1.1×	56 1.0×	18	301
Jingyi Hu China	12	212 1.3×	167 1.2×	165 1.3×	137 1.2×	59 1.1×	20	386
Guohai Jia China	12	88 0.5×	113 0.8×	127 1.0×	152 1.4×	71 1.3×	27	327
Bambang Sudarmanta Indonesia	9	218 1.3×	290 2.1×	78 0.6×	95 0.9×	78 1.4×	88	429
Hayder A. Alrazen Australia	7	218 1.3×	136 1.0×	90 0.7×	125 1.1×	29 0.5×	8	310
Romualdas Juknelevičius Lithuania	8	280 1.7×	172 1.2×	124 1.0×	125 1.1×	33 0.6×	19	366
Stefan Sterlepper Germany	11	198 1.2×	69 0.5×	131 1.1×	213 1.9×	26 0.5×	27	360
Yuanyou Tang China	12	151 0.9×	81 0.6×	183 1.5×	134 1.2×	56 1.0×	23	373
Juan Ou China	10	150 0.9×	55 0.4×	233 1.9×	145 1.3×	49 0.9×	25	351
Thomas Körfer Germany	13	322 1.9×	143 1.0×	127 1.0×	228 2.1×	50 0.9×	46	419

Countries citing papers authored by Guanglin Lan

Since Specialization

Citations

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

Fields of papers citing papers by Guanglin Lan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanglin Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Guanglin Lan. A scholar is included among the top collaborators of Guanglin Lan 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 Guanglin Lan. Guanglin Lan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Zhang, Zhiqing, Hui Liu, Guanglin Lan, et al.. (2025). Single-cell modeling, simulation and optimization of high-temperature proton exchange membrane fuel cells: current status, challenges, and perspectives. Journal of Power Sources. 664. 238943–238943.

2.

Dai, Leyang, et al.. (2024). Potassium borate/graphene nanocomposite lubricant additive with anti-friction/wear and anti-corrosion functions for marine diesel engine burning low sulfur fuel. Wear. 550-551. 205395–205395. 4 indexed citations

3.

Zhang, Zhiqing, Dongmei Li, Guanglin Lan, et al.. (2024). Development and evaluation of mechanistic model for standard SCR, fast SCR, and NO2 SCR of NH3-SCR over Cu-ZSM-5. Energy. 306. 132544–132544. 13 indexed citations

4.

Dong, Rui, et al.. (2023). Diesel particulate filter regeneration mechanism of modern automobile engines and methods of reducing PM emissions: a review. Environmental Science and Pollution Research. 30(14). 39338–39376. 64 indexed citations

5.

Wang, Su, et al.. (2023). The environmental potential of hydrogen addition as complementation for diesel and biodiesel: A comprehensive review and perspectives. Fuel. 342. 127794–127794. 37 indexed citations

6.

Tan, Dongli, Junshuai Lv, Jian Li, et al.. (2022). Performance optimization of a diesel engine fueled with hydrogen/biodiesel with water addition based on the response surface methodology. Energy. 263. 125869–125869. 182 indexed citations breakdown →

7.

Jiang, Yanhua, Guanglin Lan, & Zhiqing Zhang. (2021). Ship engine detection based on wavelet neural network and FPGA image scanning. Alexandria Engineering Journal. 60(5). 4287–4297. 9 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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