Feng Luan

10.3k total citations · 1 hit paper
261 papers, 8.3k citations indexed

About

Feng Luan is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Feng Luan has authored 261 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Electrical and Electronic Engineering, 57 papers in Molecular Biology and 55 papers in Computational Theory and Mathematics. Recurrent topics in Feng Luan's work include Computational Drug Discovery Methods (55 papers), Optical Network Technologies (53 papers) and Photonic and Optical Devices (47 papers). Feng Luan is often cited by papers focused on Computational Drug Discovery Methods (55 papers), Optical Network Technologies (53 papers) and Photonic and Optical Devices (47 papers). Feng Luan collaborates with scholars based in China, Singapore and Portugal. Feng Luan's co-authors include M. Natália D. S. Cordeiro, Alejandro Speck‐Planche, J. C. Knight, Valeria V. Kleandrova, P. St. J. Russell, Ken‐Tye Yong, Xuming Zhuang, Xiaoxia Liu, Jianghong Tang and Xingguo Chen and has published in prestigious journals such as Science, The Journal of Chemical Physics and Environmental Science & Technology.

In The Last Decade

Feng Luan

251 papers receiving 8.0k citations

Hit Papers

A Review on Functionalized Gold Nanoparticles for Biosens... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Luan China 49 3.6k 1.9k 1.7k 1.4k 1.3k 261 8.3k
Maxim V. Fedorov Russia 36 1.2k 0.3× 892 0.5× 1.2k 0.7× 1.2k 0.8× 740 0.6× 127 5.3k
Eva Zurek United States 43 1.5k 0.4× 2.5k 1.3× 1.9k 1.1× 4.9k 3.5× 1.1k 0.8× 205 13.4k
Zhengping Wang China 45 3.1k 0.9× 519 0.3× 3.0k 1.7× 2.0k 1.5× 1.0k 0.8× 470 7.8k
Marcus D. Hanwell United States 11 899 0.3× 2.3k 1.2× 572 0.3× 1.8k 1.3× 738 0.6× 30 8.1k
Gang Fu China 49 3.3k 0.9× 2.2k 1.1× 618 0.4× 6.8k 5.0× 1.7k 1.3× 255 15.8k
David Lonie United States 9 838 0.2× 2.3k 1.2× 650 0.4× 2.1k 1.5× 667 0.5× 11 8.3k
Xueguang Shao China 50 780 0.2× 2.1k 1.1× 861 0.5× 2.0k 1.4× 1.9k 1.5× 414 9.5k
Donald Curtis United Kingdom 9 807 0.2× 2.3k 1.2× 540 0.3× 1.7k 1.2× 642 0.5× 22 7.9k
Hong‐Xing Zhang China 53 3.5k 1.0× 3.1k 1.6× 352 0.2× 5.4k 3.9× 1.2k 1.0× 604 15.9k
Eamonn F. Healy United States 16 1.2k 0.4× 2.7k 1.4× 2.7k 1.6× 2.9k 2.1× 501 0.4× 48 12.7k

Countries citing papers authored by Feng Luan

Since Specialization
Citations

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

Fields of papers citing papers by Feng Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Luan

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Luan. A scholar is included among the top collaborators of Feng Luan 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 Feng Luan. Feng Luan 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.
Zhao, Lijun, Qing Zhou, Na Zhou, et al.. (2025). Magnetic organoiridium nanocatalysts activate fluorescence biosensors. Sensors and Actuators B Chemical. 430. 137333–137333.
2.
Wang, Mingxia, Minggang Wei, Wenting Su, et al.. (2025). Electrochemiluminescence-colorimetric dual-mode biosensor based on CeO2:Eu3+ nanozyme amplification for the detection of glucose. Biosensors and Bioelectronics. 291. 118027–118027.
3.
Ji, Meng, et al.. (2024). Investigation of the interaction mechanism and enzyme activity of trypsin with cerium oxide nanoparticles. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 325. 125156–125156.
4.
Yin, Tanji, et al.. (2024). Tailoring the surface of a polymeric membrane with a thin-layer Nafion membrane: Construction of an anti-surfactant solid-contact ion-selective electrode. Journal of Electroanalytical Chemistry. 977. 118830–118830. 1 indexed citations
5.
Tian, Chunyuan, et al.. (2024). Sensitive detection of H2S in the environment with electrochemiluminescence and fluorescence double-mode sensor constructed by Eu2O3@CDs NPs. Sensors and Actuators B Chemical. 422. 136582–136582. 1 indexed citations
8.
Tian, Chunyuan, Wei Guo, Minggang Wei, et al.. (2023). Electrochemiluminescence Sensor Based on CeO2 Nanocrystalline for Hg2+ Detection in Environmental Samples. Molecules. 29(1). 1–1. 6 indexed citations
9.
Hua, Qing, Wenjuan Zhang, Xiaobing Wang, et al.. (2023). Facile electrochemiluminescence sensing platform based on Gd2O3:Eu3+ nanocrystals for organophosphorus pesticides detection in vegetable samples. Food Chemistry. 438. 137985–137985. 18 indexed citations
10.
Ma, Qiujin, Feng Luan, Bin Jia, et al.. (2023). Agricultural soil aggregation is affected by the crop root biomass rather than morphological characteristics. Journal of Plant Nutrition and Soil Science. 186(3). 339–350. 7 indexed citations
13.
He, Tao, Haihua Wang, Libo Wang, et al.. (2017). What’s the Key Factor to Ensure the Photoactivity Enhancement of Fe2O3 Films with Ni(OH)2 Loading: Clues from a Structural Modification with Flagella Nanowires. The Journal of Physical Chemistry C. 121(45). 25364–25371. 4 indexed citations
14.
Luan, Feng, Lili Tang, Lihong Zhang, et al.. (2017). A further development of the QNAR model to predict the cellular uptake of nanoparticles by pancreatic cancer cells. Food and Chemical Toxicology. 112. 571–580. 14 indexed citations
15.
Speck‐Planche, Alejandro, Valeria V. Kleandrova, Feng Luan, & M. Natália D. S. Cordeiro. (2012). A ligand-based approach for the in silico discovery of multi-target inhibitors for proteins associated with HIV infection. Molecular BioSystems. 8(8). 2188–2196. 31 indexed citations
16.
Hu, Dora Juan Juan, Jun Long Lim, Meng Jiang, et al.. (2012). Long period grating cascaded to photonic crystal fiber modal interferometer for simultaneous measurement of temperature and refractive index. Optics Letters. 37(12). 2283–2283. 103 indexed citations
17.
Huang, Ying, Perry Ping Shum, Feng Luan, & Ming Tang. (2011). Low loss and wide linear amplification range integrated Raman amplifier based on silicon-chalcogenide slot waveguide. 519–520. 3 indexed citations
18.
Xu, Xuan, Feng Luan, Huitao Liu, Jianbo Cheng, & Xiaoyun Zhang. (2011). Prediction of the maximum absorption wavelength of azobenzene dyes by QSPR tools. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 83(1). 353–361. 15 indexed citations
19.
Pelusi, Mark, Feng Luan, Steve Madden, et al.. (2009). Wavelength conversion of 40Bb/s DPSK and 160Gb/s OOK signals in a chalcogenide glass chip. ANU Open Research (Australian National University). 1 indexed citations
20.
Luan, Feng, et al.. (2008). Prediction of quantitative calibration factors of some organic compounds in gas chromatography. The Analyst. 133(7). 881–881. 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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