Pei-Feng Qi

535 total citations
22 papers, 430 citations indexed

About

Pei-Feng Qi is a scholar working on Biomedical Engineering, Insect Science and Sensory Systems. According to data from OpenAlex, Pei-Feng Qi has authored 22 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 12 papers in Insect Science and 7 papers in Sensory Systems. Recurrent topics in Pei-Feng Qi's work include Advanced Chemical Sensor Technologies (19 papers), Insect Pheromone Research and Control (12 papers) and Olfactory and Sensory Function Studies (7 papers). Pei-Feng Qi is often cited by papers focused on Advanced Chemical Sensor Technologies (19 papers), Insect Pheromone Research and Control (12 papers) and Olfactory and Sensory Function Studies (7 papers). Pei-Feng Qi collaborates with scholars based in China, Japan and Sweden. Pei-Feng Qi's co-authors include Qing‐Hao Meng, Ming Zeng, Achim J. Lilienthal, Lu Cheng, Yaqi Jing, Shugen Ma, Hui-Rang Hou, Wei Zhao, Yingjie Liu and Wei Li and has published in prestigious journals such as Sensors, Review of Scientific Instruments and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Pei-Feng Qi

21 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei-Feng Qi China 12 354 186 157 70 53 22 430
Cristhian Manuel Durán Acevedo Colombia 12 352 1.0× 144 0.8× 77 0.5× 50 0.7× 69 1.3× 61 502
Chaibou Kadri China 11 363 1.0× 223 1.2× 165 1.1× 26 0.4× 48 0.9× 14 476
Marta Padilla Spain 11 395 1.1× 265 1.4× 103 0.7× 26 0.4× 69 1.3× 24 473
Oguzhan Ulucan Türkiye 8 231 0.7× 89 0.5× 70 0.4× 41 0.6× 28 0.5× 22 441
Diclehan Karakaya Türkiye 6 229 0.6× 89 0.5× 70 0.4× 41 0.6× 28 0.5× 10 391
Lijun Dang China 8 310 0.9× 196 1.1× 142 0.9× 22 0.3× 39 0.7× 11 364
Thara Seesaard Thailand 11 347 1.0× 220 1.2× 51 0.3× 27 0.4× 40 0.8× 28 458
Taoping Liu China 16 271 0.8× 117 0.6× 72 0.5× 31 0.4× 34 0.6× 28 443
Tomas Eklöv Sweden 12 422 1.2× 143 0.8× 104 0.7× 46 0.7× 106 2.0× 13 498
Aziz Amari Morocco 10 445 1.3× 174 0.9× 66 0.4× 43 0.6× 93 1.8× 21 565

Countries citing papers authored by Pei-Feng Qi

Since Specialization
Citations

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

Fields of papers citing papers by Pei-Feng Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei-Feng Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Pei-Feng Qi. A scholar is included among the top collaborators of Pei-Feng Qi 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 Pei-Feng Qi. Pei-Feng Qi 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.
Hou, Hui-Rang, et al.. (2024). An e-Nose Fingerprint-Based OC-OCC Classification Approach for Authenticity Identification of Liquors. IEEE Transactions on Instrumentation and Measurement. 74. 1–10. 2 indexed citations
2.
Hou, Hui-Rang, et al.. (2022). A Double Triangular Feature-Based Sensor Sequence Coding Approach for Identifying Chinese Liquors Using an E-Nose System. IEEE Sensors Journal. 22(5). 3878–3887. 12 indexed citations
3.
Hou, Hui-Rang, et al.. (2021). A Hand-Held Electronic Nose System for Rapid Identification of Chinese Liquors. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 22 indexed citations
4.
Cheng, Lu, Qing‐Hao Meng, Achim J. Lilienthal, & Pei-Feng Qi. (2021). Development of compact electronic noses: a review. Measurement Science and Technology. 32(6). 62002–62002. 121 indexed citations
5.
Wu, Bin, Qing‐Hao Meng, Hui-Rang Hou, Ming Zeng, & Pei-Feng Qi. (2018). An Olfactory Display System Integrated with Video Content Recognition. 1641–1646. 3 indexed citations
6.
7.
Qi, Pei-Feng, Qing‐Hao Meng, & Ming Zeng. (2017). A CNN-based simplified data processing method for electronic noses. 1–3. 33 indexed citations
8.
Meng, Qing‐Hao, et al.. (2017). A method for single odor source declaration in three-dimensional airflow environments. 1–3. 2 indexed citations
9.
Meng, Qing‐Hao, et al.. (2017). 2-D Wind Velocity Measurement Using a Vertically Suspended Optical Fiber Combined With a Photosensor Array. IEEE Transactions on Instrumentation and Measurement. 66(8). 2074–2082. 6 indexed citations
10.
Zhao, Wei, Qing‐Hao Meng, Ming Zeng, & Pei-Feng Qi. (2017). Stacked Sparse Auto-Encoders (SSAE) Based Electronic Nose for Chinese Liquors Classification. Sensors. 17(12). 2855–2855. 30 indexed citations
11.
Qi, Pei-Feng, Ming Zeng, Zhihua Li, Biao Sun, & Qing‐Hao Meng. (2017). Design of a portable electronic nose for real-fake detection of liquors. Review of Scientific Instruments. 88(9). 95001–95001. 13 indexed citations
12.
Jing, Yaqi, Qing‐Hao Meng, Pei-Feng Qi, Ming Zeng, & Yingjie Liu. (2016). Signal processing inspired from the olfactory bulb for electronic noses. Measurement Science and Technology. 28(1). 15105–15105. 15 indexed citations
13.
Jia, Xuemei, Qing‐Hao Meng, Yaqi Jing, et al.. (2016). A New Method Combining KECA-LDA With ELM for Classification of Chinese Liquors Using Electronic Nose. IEEE Sensors Journal. 16(22). 8010–8017. 26 indexed citations
14.
Meng, Qing‐Hao, et al.. (2016). A wind estimation method for quadrotors using inertial measurement units. 426–431. 6 indexed citations
15.
Li, Zhihua, Qing‐Hao Meng, Pei-Feng Qi, Zhou Yu, & Shugen Ma. (2016). Boosting-based one-class SVM for recognizing true-fake Chinese liquors using electronic noses. 1408–1413. 2 indexed citations
16.
Qi, Pei-Feng, Qing‐Hao Meng, Yaqi Jing, Ming Zeng, & Shugen Ma. (2016). Rapid detection of Chinese liquors using a portable e-nose based on C-SVM. 1388–1392. 6 indexed citations
17.
Jia, Xuemei, Qing‐Hao Meng, Yaqi Jing, et al.. (2016). Combining PSO-KECA with ELM in an electronic nose for classification of Chinese liquors. 34. 2069–2073.
18.
Jing, Yaqi, et al.. (2016). A Bioinspired Neural Network for Data Processing in an Electronic Nose. IEEE Transactions on Instrumentation and Measurement. 65(10). 2369–2380. 49 indexed citations
19.
Qi, Pei-Feng, Qing‐Hao Meng, Zhou Yu, Yaqi Jing, & Ming Zeng. (2015). A portable E-nose system for classification of Chinese liquor. 1–4. 6 indexed citations
20.
Jing, Yaqi, Qing‐Hao Meng, Pei-Feng Qi, et al.. (2014). Electronic nose with a new feature reduction method and a multi-linear classifier for Chinese liquor classification. Review of Scientific Instruments. 85(5). 55004–55004. 36 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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