Qinglun Zhang

666 total citations · 1 hit paper
19 papers, 476 citations indexed

About

Qinglun Zhang is a scholar working on Artificial Intelligence, Biomedical Engineering and Analytical Chemistry. According to data from OpenAlex, Qinglun Zhang has authored 19 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Biomedical Engineering and 7 papers in Analytical Chemistry. Recurrent topics in Qinglun Zhang's work include Spectroscopy and Chemometric Analyses (7 papers), Advanced Chemical Sensor Technologies (6 papers) and Geochemistry and Geologic Mapping (6 papers). Qinglun Zhang is often cited by papers focused on Spectroscopy and Chemometric Analyses (7 papers), Advanced Chemical Sensor Technologies (6 papers) and Geochemistry and Geologic Mapping (6 papers). Qinglun Zhang collaborates with scholars based in China, Vietnam and United States. Qinglun Zhang's co-authors include Yan Shi, Chongbo Yin, Ziyang Li, Chaolong Yang, Jianrong Xu, Kaiti Wang, Liang Gao, Zhengxu Cai, Xiaohong Chen and Zhonghao Wang and has published in prestigious journals such as Journal of the American Chemical Society, Food Chemistry and Expert Systems with Applications.

In The Last Decade

Qinglun Zhang

16 papers receiving 468 citations

Hit Papers

align trajectories sort by overperformance

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.

Cross-Linked Polyphosphazene Nanospheres Boosting Long-Lived Organic Room-Temperature Phosphorescence

2022 219 citations Yongfeng Zhang, Xiaohong Chen et al. Journal of the American Chemical Society profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qinglun Zhang China	9	229	204	161	118	71	19	476
Peter Boeker Germany	14	370 1.6×	65 0.3×	134 0.8×	55 0.5×	186 2.6×	45	569
Javier Ibáñez Spain	15	461 2.0×	74 0.4×	256 1.6×	60 0.5×	57 0.8×	32	741
Alessandro Mantini Italy	13	488 2.1×	86 0.4×	230 1.4×	63 0.5×	161 2.3×	19	632
Tarik Saidi Morocco	10	462 2.0×	40 0.2×	313 1.9×	72 0.6×	87 1.2×	20	609
Luyi Zhu China	11	323 1.4×	51 0.3×	137 0.9×	129 1.1×	34 0.5×	27	559
Shih-Wen Chiu Taiwan	14	572 2.5×	56 0.3×	445 2.8×	56 0.5×	58 0.8×	48	808
Andreu González‐Calabuig Spain	16	306 1.3×	75 0.4×	245 1.5×	74 0.6×	110 1.5×	20	571
Thara Seesaard Thailand	11	347 1.5×	46 0.2×	220 1.4×	32 0.3×	40 0.6×	28	458
Aziz Amari Morocco	10	445 1.9×	25 0.1×	174 1.1×	121 1.0×	93 1.3×	21	565
Rui Yatabe Japan	12	262 1.1×	61 0.3×	109 0.7×	26 0.2×	73 1.0×	37	415

Countries citing papers authored by Qinglun Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Qinglun Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinglun Zhang

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

All Works

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19 of 19 papers shown

Zhang, Qinglun, et al.. (2026). Temporal feature mixed inverted transformer: An inverted transformer for effective real-time electricity price forecasting. Engineering Applications of Artificial Intelligence. 167. 113778–113778.

Li, Fusheng, et al.. (2025). Quantitative analysis of Cu, Zn, and Pb elements in ores by X-ray fluorescence using a hierarchical convolutional network with attention excitation. Journal of Analytical Atomic Spectrometry. 40(6). 1580–1590.

Wang, Baichun, et al.. (2025). TVNet: A times vision network for electrical load forecasting by temporal 2d-variation. Expert Systems with Applications. 280. 127619–127619.

Zhang, Qinglun, et al.. (2025). FlowPolicy: Enabling Fast and Robust 3D Flow-Based Policy via Consistency Flow Matching for Robot Manipulation. Proceedings of the AAAI Conference on Artificial Intelligence. 39(14). 14754–14762. 1 indexed citations

Li, Fusheng, et al.. (2024). An integrated BLS-Net optimized with dual PCA and improved PSO-CARS variable selection strategy to determine heavy metals in soil by XRF. Talanta. 284. 127213–127213. 3 indexed citations

Li, Fusheng, et al.. (2024). Quantitative analysis of potentially toxic elements in soil by XRF based on efficient reinforcement learning and sparse partial least squares. Journal of Analytical Atomic Spectrometry. 39(3). 942–953. 7 indexed citations

Yang, Wanqi, et al.. (2024). An integrated CBLA-Net with fractional discrete wavelet transform and frequency-based CARS to predict heavy metal elements by XRF. Analytica Chimica Acta. 1323. 343073–343073. 4 indexed citations

Wang, Yanwei, Qinghua Li, Chongbo Yin, et al.. (2024). A gas detection system combined with a global extension extreme learning machine for early warning of electrical fires. Sensors and Actuators B Chemical. 423. 136801–136801. 9 indexed citations

Wang, Zi, et al.. (2024). Peanut origin traceability: A hybrid neural network combining an electronic nose system and a hyperspectral system. Food Chemistry. 447. 138915–138915. 19 indexed citations

10.

Zhang, Qinglun, Fusheng Li, & Wanqi Yang. (2024). A deep spectral prediction network to quantitatively determine heavy metal elements in soil by X-ray fluorescence. Journal of Analytical Atomic Spectrometry. 39(2). 478–490. 6 indexed citations

11.

Zhang, Qinglun, et al.. (2023). An efficient multiscale integrated attention method combined with hyperspectral system to identify the quality of rice with different storage periods and humidity. Computers and Electronics in Agriculture. 213. 108259–108259. 8 indexed citations

12.

Shi, Yan, et al.. (2023). FGRC-Net: A high-information interactive convolutional neural network for identifying ink spectral information. Expert Systems with Applications. 235. 121167–121167. 8 indexed citations

13.

Shi, Yan, et al.. (2023). AUNet: a deep learning method for spectral information classification to identify inks. Analytical Methods. 15(13). 1681–1689. 6 indexed citations

14.

Yang, Wanqi, et al.. (2023). Quantitative analysis of heavy metals in soilviahierarchical deep neural networks with X-ray fluorescence spectroscopy. Journal of Analytical Atomic Spectrometry. 38(9). 1830–1840. 5 indexed citations

15.

Zhang, Yongfeng, Xiaohong Chen, Jianrong Xu, et al.. (2022). Cross-Linked Polyphosphazene Nanospheres Boosting Long-Lived Organic Room-Temperature Phosphorescence. Journal of the American Chemical Society. 144(13). 6107–6117. 219 indexed citations breakdown →

16.

Zhang, Qinglun, et al.. (2022). An adaptive learning method for the fusion information of electronic nose and hyperspectral system to identify the egg quality. Sensors and Actuators A Physical. 346. 113824–113824. 41 indexed citations

17.

Zhang, Qinglun, et al.. (2022). Determination of the quality of tea from different picking periods: An adaptive pooling attention mechanism coupled with an electronic nose. Postharvest Biology and Technology. 197. 112214–112214. 54 indexed citations

18.

Chen, Haoming, Chongbo Yin, Qinglun Zhang, et al.. (2022). Lightweight Residual Convolutional Neural Network for Soybean Classification Combined With Electronic Nose. IEEE Sensors Journal. 22(12). 11463–11473. 56 indexed citations

19.

Shi, Yan, et al.. (2021). Lightweight Interleaved Residual Dense Network for Gas Identification of Industrial Polypropylene Coupled With an Electronic Nose. IEEE Transactions on Instrumentation and Measurement. 70. 1–10. 30 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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