Lufen Jia

414 total citations
8 papers, 347 citations indexed

About

Lufen Jia is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lufen Jia has authored 8 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 6 papers in Materials Chemistry and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lufen Jia's work include 2D Materials and Applications (4 papers), Gas Sensing Nanomaterials and Sensors (4 papers) and Image and Signal Denoising Methods (2 papers). Lufen Jia is often cited by papers focused on 2D Materials and Applications (4 papers), Gas Sensing Nanomaterials and Sensors (4 papers) and Image and Signal Denoising Methods (2 papers). Lufen Jia collaborates with scholars based in China and Portugal. Lufen Jia's co-authors include Qu Zhou, Xiaosen Cui, Wen Zeng, Zhihui Li, Jianxing Chen, Jianxing Chen, Zhongchang Wang, Baoliang Li, Jiaming Jiang and Wenwen Gu and has published in prestigious journals such as Applied Surface Science, Sensors and Actuators A Physical and Measurement.

In The Last Decade

Lufen Jia

8 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lufen Jia China	7	291	288	33	29	28	8	347
Xiaosen Cui China	7	308 1.1×	294 1.0×	35 1.1×	37 1.3×	34 1.2×	11	361
Zijia Zhao China	10	306 1.1×	519 1.8×	21 0.6×	18 0.6×	30 1.1×	11	566
Ingrid Torres United States	7	203 0.7×	340 1.2×	20 0.6×	16 0.6×	34 1.2×	9	384
Tiansong Lan China	9	331 1.1×	307 1.1×	32 1.0×	49 1.7×	73 2.6×	9	398
Heping Cui China	10	243 0.8×	336 1.2×	24 0.7×	25 0.9×	54 1.9×	13	391
Moez Salem Tunisia	11	249 0.9×	334 1.2×	72 2.2×	16 0.6×	68 2.4×	36	402
S. Maheswari India	12	274 0.9×	181 0.6×	36 1.1×	46 1.6×	51 1.8×	32	381
J. Alvarado Mexico	12	412 1.4×	95 0.3×	21 0.6×	6 0.2×	54 1.9×	61	483
Monoj Kumar Singha India	12	309 1.1×	288 1.0×	56 1.7×	17 0.6×	49 1.8×	29	422
A. Khayatian Iran	12	278 1.0×	324 1.1×	171 5.2×	51 1.8×	62 2.2×	21	388

Countries citing papers authored by Lufen Jia

Since Specialization

Citations

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

Fields of papers citing papers by Lufen Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lufen Jia

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

All Works

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8 of 8 papers shown

1.

Jia, Lufen, et al.. (2024). Research on the prediction of breakdown voltage of transformer oil based on multi-frequency ultrasound and GWO-RF algorithm. Measurement. 240. 115575–115575. 2 indexed citations

2.

Jia, Lufen, et al.. (2023). Adsorption and gas-sensing properties of SF6 decomposition components (SO2, SOF2 and SO2F2) on Co or Cr modified GeSe monolayer: a DFT study. Materials Today Chemistry. 28. 101382–101382. 99 indexed citations

3.

Li, Zhihui, Xiaosen Cui, Lufen Jia, Wen Zeng, & Qu Zhou. (2023). Pt atomic catalyst on MXene (Ti3C2O2) sheet: A superior candidate for enhanced adsorption and gas sensing of NH3, H2S and CO2. Diamond and Related Materials. 139. 110375–110375. 35 indexed citations

4.

Jia, Lufen, et al.. (2023). Quantitative recognition of electrical parameters of transformer oil based on nondestructive ultrasound and the combined KPCA-WOA-Elman neural network. Sensors and Actuators A Physical. 363. 114764–114764. 6 indexed citations

5.

Li, Zhihui, Lufen Jia, Jianxing Chen, Xiaosen Cui, & Qu Zhou. (2022). Adsorption and Sensing Performances of Pristine and Au-Decorated Gallium Nitride Monolayer to Noxious Gas Molecules: A DFT Investigation. Frontiers in Chemistry. 10. 898154–898154. 9 indexed citations

6.

Jia, Lufen, Jianxing Chen, Xiaosen Cui, et al.. (2022). Gas Sensing Mechanism and Adsorption Properties of C2H4 and CO Molecules on the Ag3–HfSe2 Monolayer: A First-Principle Study. Frontiers in Chemistry. 10. 911170–911170. 10 indexed citations

7.

Chen, Jianxing, Qu Zhou, Lufen Jia, Xiaosen Cui, & Wen Zeng. (2022). The gas-sensing mechanism of Pt3 cluster doped SnS2 monolayer for SF6 decomposition: A DFT study. Applied Surface Science. 597. 153693–153693. 107 indexed citations

8.

Li, Zhihui, Lufen Jia, Jianxing Chen, et al.. (2022). Ag-modified hexagonal GaN monolayer as an innovative gas detector toward SF6 decomposed species: Insights from the first-principles computations. Applied Surface Science. 589. 153000–153000. 79 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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