Luhong Wen

495 total citations
54 papers, 344 citations indexed

About

Luhong Wen is a scholar working on Spectroscopy, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, Luhong Wen has authored 54 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Spectroscopy, 18 papers in Analytical Chemistry and 11 papers in Biomedical Engineering. Recurrent topics in Luhong Wen's work include Mass Spectrometry Techniques and Applications (28 papers), Analytical Chemistry and Chromatography (19 papers) and Analytical chemistry methods development (16 papers). Luhong Wen is often cited by papers focused on Mass Spectrometry Techniques and Applications (28 papers), Analytical Chemistry and Chromatography (19 papers) and Analytical chemistry methods development (16 papers). Luhong Wen collaborates with scholars based in China, Bangladesh and Norway. Luhong Wen's co-authors include Ahsan Habib, La Chen, Lulu Shi, Yiding Zhang, Ning Gan, Huwei Liu, Qiqin Wang, Hong-Zhen Xie, Yu Bai and Peng Zhao and has published in prestigious journals such as Advanced Functional Materials, Food Chemistry and Small.

In The Last Decade

Luhong Wen

44 papers receiving 342 citations

Peers

Luhong Wen

SPECT

Михаил К. Беклемишев Russia

Vahideh Ilbeigi Iran

Mashaalah Zarejousheghani Germany

Leslie Carlyle Portugal

Kerstin Golker Sweden

Mo Yang Taiwan

Curtis D. Cleven United States

Xiuzhen Qiu China

Shigetomo Matsuyama Japan

Patrick W. Fedick United States

Михаил К. Беклемишев Russia

Luhong Wen

86 ×0.5

SPECT

72 ×1.0

109 ×1.5

71 ×1.1

63 ×1.3

Citations per year, relative to Luhong Wen Luhong Wen (= 1×) peers Михаил К. Беклемишев

Countries citing papers authored by Luhong Wen

Since Specialization

Citations

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

Fields of papers citing papers by Luhong Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luhong Wen

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

All Works

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20 of 20 papers shown

Xiong, Wei, et al.. (2025). High-throughput determination methodology of multiple pesticide residues in surface water and its application in environmental risk assessment. Microchemical Journal. 212. 113519–113519. 1 indexed citations

Yu, Danxia, Yuzhong Deng, Anqi Chen, et al.. (2025). Machine learning-assisted identification of new psychoactive substances in biological sample using miniaturized ambient mass spectrometer. Microchemical Journal. 219. 115985–115985.

Zhang, Yijing, Jianyu Zhang, Jiahe Qian, et al.. (2025). Portable mass spectrometry and machine learning for detecting Angelica sinensis adulteration. Journal of Food Composition and Analysis. 147. 108115–108115.

Zhang, Yijing, et al.. (2025). Adulteration identification strategy for Acanthopanax Senticosus based on data fusion of portable mass spectrometry and near-infrared spectroscopy. Food Chemistry. 491. 145239–145239.

Liu, Yaonan, et al.. (2025). Development of boronic-acid-functionalized magnetic metal organic framework coupled with ambient ionization mass spectrometry for the analysis of neonicotinoid insecticides in fruits and vegetables. Food Chemistry. 490. 145189–145189. 1 indexed citations

You, Jung‐Min, Anqi Chen, Jing Qiu, et al.. (2025). On-chip single-cell mass spectrometry for streamlined metabolic exploration enabled by a reversibly-bonded microfluidic platform. Analytica Chimica Acta. 1376. 344608–344608.

Cao, Jingya, Bailu Liu, Qilin Liu, et al.. (2024). Escherichia coli -polydopamine coated stir bar sorptive extraction combing with portable mass spectrometer for rapid and simultaneous detection of triphenylmethane residues in fishes. Microchemical Journal. 202. 110771–110771. 3 indexed citations

Wen, Luhong, et al.. (2024). Study of three-stage high-resolution ion isolation for portable ion trap mass spectrometer. International Journal of Mass Spectrometry. 504. 117291–117291. 2 indexed citations

Zhao, Dan, et al.. (2024). Preparation and characterization of functional metal–organic frameworks-coated extraction bars and their application in the simultaneous determination of pesticides in fetal bovine serum. Microchemical Journal. 206. 111595–111595. 5 indexed citations

10.

Tang, Long, Ping Xu, Yian Liu, et al.. (2023). A novel self-attention model based on cosine self-similarity for cancer classification of protein mass spectrometry. International Journal of Mass Spectrometry. 494. 117131–117131. 4 indexed citations

11.

Xu, Ping, et al.. (2023). Fentanyl analogs classification via Siamese network and mass spectral library searching. Expert Systems with Applications. 217. 119534–119534. 1 indexed citations

12.

Zhu, Shanshan, et al.. (2023). Determination of β2-Agonist Residues in Meat Samples by Gas Chromatography-Mass Spectrometry with N-Doped Carbon Dots in Molecular Sieves. Separations. 10(8). 429–429.

13.

Lu, Yeqiang, Hui Ma, Yawen Zhao, et al.. (2023). Bioinspired under-liquid superlyophobic PVDF membrane via synchronous in-situ growth of sliver nanoparticles for oil/water emulsion separation. Journal of Membrane Science. 672. 121419–121419. 16 indexed citations

14.

Mi, Kun, et al.. (2023). Rapid detection of four amphetamine-type drugs in hair by pulsed direct current electrospray mass spectrometry. Chinese Journal of Chromatography. 41(12). 1141–1148. 1 indexed citations

15.

Li, Dongmei, Zehua Li, Bin Xu, et al.. (2022). Thermal desorption bridged the gap between dielectric barrier discharge ionization and dried plasma spot samples for sensitive and rapid detection of fentanyl analogs in mass spectrometry. The Analyst. 147(19). 4187–4196. 10 indexed citations

16.

Shen, Yuxia, Qiqin Wang, Hong-Zhen Xie, et al.. (2022). Combining portable mass spectrometer with bamboo stir bar sorptive extraction for the on-site detection of malachite green, crystal violet and their metabolites in fishes. Journal of Chromatography A. 1681. 463456–463456. 17 indexed citations

17.

Chen, Anqi, Jiaxin Feng, Lei Bi, et al.. (2021). Single Cell Mass Spectrometry With a Robotic Micromanipulation System for Cell Metabolite Analysis. IEEE Transactions on Biomedical Engineering. 69(1). 325–333. 10 indexed citations

18.

Bai, Hua, et al.. (2021). Studies on Fragmentation Characteristics of Fentanyl-TypeNew Psychoactive Substances Using Dielectric Barrier Discharge Ionization Mass Spectrometry. 42(4). 439. 1 indexed citations

19.

Habib, Ahsan, et al.. (2020). Ultra-trace level detection of nonvolatile compounds studied by ultrasonic cutter blade coupled with dielectric barrier discharge ionization-mass spectrometry. Talanta. 222. 121673–121673. 21 indexed citations

20.

Zhang, Yiding, Shuting Xu, Luhong Wen, et al.. (2016). A dielectric barrier discharge ionization based interface for online coupling surface plasmon resonance with mass spectrometry. The Analyst. 141(11). 3343–3348. 17 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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