Qing‐Hao Meng

3.0k total citations · 1 hit paper
206 papers, 2.2k citations indexed

About

Qing‐Hao Meng is a scholar working on Biomedical Engineering, Insect Science and Electrical and Electronic Engineering. According to data from OpenAlex, Qing‐Hao Meng has authored 206 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Biomedical Engineering, 77 papers in Insect Science and 31 papers in Electrical and Electronic Engineering. Recurrent topics in Qing‐Hao Meng's work include Advanced Chemical Sensor Technologies (86 papers), Insect Pheromone Research and Control (77 papers) and Olfactory and Sensory Function Studies (26 papers). Qing‐Hao Meng is often cited by papers focused on Advanced Chemical Sensor Technologies (86 papers), Insect Pheromone Research and Control (77 papers) and Olfactory and Sensory Function Studies (26 papers). Qing‐Hao Meng collaborates with scholars based in China, Japan and United States. Qing‐Hao Meng's co-authors include Ming Zeng, Pei-Feng Qi, Hui-Rang Hou, Yang Wang, Ji-Gong Li, Jiaying Wang, Bing Luo, Yaqi Jing, Lu Cheng and Shugen Ma and has published in prestigious journals such as Nature, Chemical Engineering Journal and Nanoscale.

In The Last Decade

Qing‐Hao Meng

188 papers receiving 2.1k 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.

A broadband hyperspectral image sensor with high spatio-temporal resolution

2024 72 citations Qing‐Hao Meng et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qing‐Hao Meng China	25	982	704	523	231	213	206	2.2k
Ming Zeng China	21	595 0.6×	457 0.6×	284 0.5×	114 0.5×	154 0.7×	121	1.8k
R. Andrew Russell Australia	27	1.0k 1.0×	923 1.3×	116 0.2×	151 0.7×	417 2.0×	89	2.1k
H. Troy Nagle United States	25	2.2k 2.2×	391 0.6×	1.1k 2.1×	106 0.5×	110 0.5×	109	3.5k
Jordi Fonollosa Spain	25	1.1k 1.1×	379 0.5×	785 1.5×	115 0.5×	62 0.3×	66	2.1k
Abdul Hamid Adom Malaysia	19	404 0.4×	137 0.2×	206 0.4×	204 0.9×	65 0.3×	119	1.4k
Amine Bermak Hong Kong	41	3.2k 3.3×	225 0.3×	4.2k 7.9×	528 2.3×	467 2.2×	439	6.4k
Kea‐Tiong Tang Taiwan	31	1.3k 1.3×	168 0.2×	3.3k 6.3×	248 1.1×	496 2.3×	200	4.1k
Takamichi Nakamoto Japan	29	2.8k 2.8×	1.6k 2.3×	728 1.4×	89 0.4×	493 2.3×	251	3.6k
Gabriele Ferri Italy	22	508 0.5×	186 0.3×	242 0.5×	168 0.7×	59 0.3×	85	1.8k
Marco Trincavelli Sweden	18	735 0.7×	596 0.8×	249 0.5×	113 0.5×	94 0.4×	46	1.1k

Countries citing papers authored by Qing‐Hao Meng

Since Specialization

Citations

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

Fields of papers citing papers by Qing‐Hao Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing‐Hao Meng. 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 Qing‐Hao Meng. The network helps show where Qing‐Hao Meng may publish in the future.

Co-authorship network of co-authors of Qing‐Hao Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Qing‐Hao Meng. A scholar is included among the top collaborators of Qing‐Hao Meng 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 Qing‐Hao Meng. Qing‐Hao Meng 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:

20 of 20 papers shown

Hou, Hui-Rang, et al.. (2025). A Domain Generalization Method for e-Nose Cross-Platform Identification of Ignitable Liquids. IEEE Sensors Journal. 25(13). 25829–25839.

Hou, Hui-Rang, et al.. (2024). CS-MA-CNN: A Fast Recognition Network of Electronic Nose for Ignitable Liquids Detection. IEEE Sensors Journal. 25(2). 3560–3570. 2 indexed citations

Meng, Qing‐Hao, Jiayu Chen, Hong Zhu, et al.. (2024). Antagonism of β-arrestins in IL-4–driven microglia reactivity via the Samd4/mTOR/OXPHOS axis in Parkinson’s disease. Science Advances. 10(34). eadn4845–eadn4845. 11 indexed citations

Jin, Sheng, X. Wang, & Qing‐Hao Meng. (2023). Spatial memory-augmented visual navigation based on hierarchical deep reinforcement learning in unknown environments. Knowledge-Based Systems. 285. 111358–111358. 30 indexed citations

Meng, Qing‐Hao, et al.. (2023). Estimating odor source proximity via two MOS sensors based on deep learning method. Measurement. 214. 112781–112781. 1 indexed citations

Jin, Sheng, et al.. (2023). Loop closure detection with patch-level local features and visual saliency prediction. Engineering Applications of Artificial Intelligence. 120. 105902–105902. 9 indexed citations

Meng, Qing‐Hao, et al.. (2023). Touch-text answer for human-robot interaction via supervised adversarial learning. Expert Systems with Applications. 242. 122738–122738. 4 indexed citations

Meng, Qing‐Hao, et al.. (2023). A Deep Learning-Based Indoor Odor Compass. IEEE Transactions on Instrumentation and Measurement. 72. 1–10. 3 indexed citations

Li, Yunkai, et al.. (2023). MMFN: Emotion recognition by fusing touch gesture and facial expression information. Expert Systems with Applications. 228. 120469–120469. 11 indexed citations

10.

Jin, Sheng, et al.. (2022). Safe-Nav: learning to prevent PointGoal navigation failure in unknown environments. Complex & Intelligent Systems. 8(3). 2273–2290. 5 indexed citations

11.

Li, Yunkai, et al.. (2022). MASS: A Multisource Domain Adaptation Network for Cross-Subject Touch Gesture Recognition. IEEE Transactions on Industrial Informatics. 19(3). 3099–3108. 7 indexed citations

12.

Li, Yunkai, et al.. (2022). Touch Gesture and Emotion Recognition Using Decomposed Spatiotemporal Convolutions. IEEE Transactions on Instrumentation and Measurement. 71. 1–9. 9 indexed citations

13.

Hou, Hui-Rang, Qing‐Hao Meng, & Biao Sun. (2022). A triangular hashing learning approach for olfactory EEG signal recognition. Applied Soft Computing. 118. 108471–108471. 6 indexed citations

14.

Hou, Hui-Rang & Qing‐Hao Meng. (2021). A Double-Square-Based Electrode Sequence Learning Method for Odor Concentration Identification Using EEG Signals. IEEE Transactions on Instrumentation and Measurement. 70. 1–10. 5 indexed citations

15.

Hou, Hui-Rang, et al.. (2019). A gas source declaration scheme based on a tetrahedral sensor structure in three-dimensional airflow environments. Review of Scientific Instruments. 90(2). 24104–24104. 1 indexed citations

16.

Hou, Hui-Rang, Achim J. Lilienthal, & Qing‐Hao Meng. (2019). Gas Source Declaration With Tetrahedral Sensing Geometries and Median Value Filtering Extreme Learning Machine. IEEE Access. 8. 7227–7235. 2 indexed citations

17.

Hou, Hui-Rang, Biao Sun, & Qing‐Hao Meng. (2019). Slow cortical potential signal classification using concave–convex feature. Journal of Neuroscience Methods. 324. 108303–108303. 4 indexed citations

18.

Hou, Hui-Rang, Qing‐Hao Meng, Ming Zeng, & Biao Sun. (2017). Improving Classification of Slow Cortical Potential Signals for BCI Systems With Polynomial Fitting and Voting Support Vector Machine. IEEE Signal Processing Letters. 25(2). 283–287. 28 indexed citations

19.

Luo, Bing, Qing‐Hao Meng, Jiaying Wang, & Shugen Ma. (2016). Simulate the aerodynamic olfactory effects of gas-sensitive UAVs: A numerical model and its parallel implementation. Advances in Engineering Software. 102. 123–133. 26 indexed citations

20.

Zhang, Yong, et al.. (2012). Distributed gas-source localization based on MMSE estimation with cooperative sensor networks. Chinese Control Conference. 6611–6616. 3 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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