Deming Kong

691 total citations
52 papers, 520 citations indexed

About

Deming Kong is a scholar working on Analytical Chemistry, Industrial and Manufacturing Engineering and Biomedical Engineering. According to data from OpenAlex, Deming Kong has authored 52 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Analytical Chemistry, 14 papers in Industrial and Manufacturing Engineering and 10 papers in Biomedical Engineering. Recurrent topics in Deming Kong's work include Spectroscopy and Chemometric Analyses (20 papers), Water Quality Monitoring and Analysis (14 papers) and 3D Surveying and Cultural Heritage (9 papers). Deming Kong is often cited by papers focused on Spectroscopy and Chemometric Analyses (20 papers), Water Quality Monitoring and Analysis (14 papers) and 3D Surveying and Cultural Heritage (9 papers). Deming Kong collaborates with scholars based in China, Belgium and Singapore. Deming Kong's co-authors include Shutao Wang, Yuanyuan Yuan, Shiyu Liu, Xiaolu Li, Lijun Xu, Jingkun Zhang, Qi Cheng, Shuyang Li, Lingfu Kong and Xijun Wu and has published in prestigious journals such as IEEE Access, Fuel and Marine Pollution Bulletin.

In The Last Decade

Deming Kong

47 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deming Kong China 14 219 109 96 89 87 52 520
Raimund Leitner Austria 14 211 1.0× 180 1.7× 54 0.6× 58 0.7× 74 0.9× 50 669
Yan Cao China 18 321 1.5× 178 1.6× 62 0.6× 60 0.7× 105 1.2× 33 907
Herlina Abdul Rahim Malaysia 15 165 0.8× 270 2.5× 50 0.5× 96 1.1× 72 0.8× 99 947
Dong Wei China 10 120 0.5× 82 0.8× 17 0.2× 12 0.1× 159 1.8× 50 521
Xiang Yin China 14 218 1.0× 93 0.9× 20 0.2× 26 0.3× 68 0.8× 45 526
Muhammad Juhairi Aziz Safar Malaysia 10 189 0.9× 178 1.6× 27 0.3× 10 0.1× 49 0.6× 42 733
Fernando López Peña Spain 19 148 0.7× 190 1.7× 64 0.7× 51 0.6× 5 0.1× 74 964
Ba Tuan Le Vietnam 15 142 0.6× 76 0.7× 29 0.3× 31 0.3× 102 1.2× 35 533
Hanli Qiao China 8 95 0.4× 50 0.5× 60 0.6× 50 0.6× 35 0.4× 16 496

Countries citing papers authored by Deming Kong

Since Specialization
Citations

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

Fields of papers citing papers by Deming Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deming Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Deming Kong. A scholar is included among the top collaborators of Deming Kong 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 Deming Kong. Deming Kong 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.
Li, Xinyi, et al.. (2025). Study on oil spill emulsification degree based on 3D fluorescence spectra combined with multi-modal attention feature fusion. Measurement. 249. 117043–117043. 1 indexed citations
2.
Chen, Xiaoyu, et al.. (2025). Measurement for Emulsified Crude Oil Thickness Using Laser-Induced Fluorescence and Visual Imaging Technology. Marine Pollution Bulletin. 215. 117868–117868.
3.
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Chen, Xiaoyu, et al.. (2024). Fast dentification of overlapping fluorescence spectra of oil species based on LDA and two-dimensional convolutional neural network. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 324. 124979–124979. 6 indexed citations
5.
Kong, Deming, et al.. (2024). Application of 3D fluorescence spectroscopy and a convolutional neural network for oil emulsion species identification. Measurement. 237. 115177–115177. 7 indexed citations
6.
Kong, Deming, et al.. (2023). An Evaluation Algorithm for Thick Oil Film on Sea Surface Based on Fluorescence Signal. IEEE Sensors Journal. 23(9). 9727–9738. 8 indexed citations
7.
Liu, Shiyu, Shutao Wang, Chunhai Hu, Deming Kong, & Yuanyuan Yuan. (2023). Series fusion of scatter correction techniques coupled with deep convolution neural network as a promising approach for NIR modeling. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 291. 122371–122371. 18 indexed citations
8.
Liu, Shiyu, et al.. (2021). Development of a new NIR-machine learning approach for simultaneous detection of diesel various properties. Measurement. 187. 110293–110293. 13 indexed citations
9.
Li, Yuan, et al.. (2021). Analysis of fluorescence simulation and experiments for sea surface oil film based on LIF. Applied Optics. 60(18). 5439–5439. 7 indexed citations
10.
Kong, Deming, Yumeng Li, Yaoyao Cui, Chunxiang Zhang, & Shutao Wang. (2020). Correction Methods of Rayleigh Scattering of Three-Dimensional Fluorescence Spectra of Spilled Oil on Sea. Guangpuxue yu guangpu fenxi. 40(9). 2791. 2 indexed citations
11.
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13.
Kong, Deming, et al.. (2020). An Improved Method for NURBS Free-Form Surface Based on Discrete Stationary Wavelet Transform. IEEE Access. 8. 67015–67023. 4 indexed citations
14.
Yuan, Yuanyuan, et al.. (2020). Rapid detection of the authenticity and adulteration of sesame oil using excitation-emission matrix fluorescence and chemometric methods. Food Control. 112. 107145–107145. 52 indexed citations
15.
Wang, Shutao, et al.. (2019). Feasibility study on prediction of gasoline octane number using NIR spectroscopy combined with manifold learning and neural network. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 228. 117836–117836. 22 indexed citations
16.
Kong, Deming, et al.. (2019). Classification of oil pollutants based on excitation-emission matrix fluorescence spectroscopy and two-dimensional discriminant analysis. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 228. 117799–117799. 15 indexed citations
17.
Yuan, Yuanyuan, et al.. (2019). Green approach for simultaneous determination of multi-pesticide residue in environmental water samples using excitation-emission matrix fluorescence and multivariate calibration. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 228. 117801–117801. 25 indexed citations
18.
Yuan, Yuanyuan, et al.. (2019). Simultaneous determination of carbendazim and chlorothalonil pesticide residues in peanut oil using excitation-emission matrix fluorescence coupled with three-way calibration method. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 220. 117088–117088. 24 indexed citations
19.
Wang, Shutao, Changbing Wang, Pan Zhao, et al.. (2017). Applications of optical technology in gas concentration detection. Guangdian gongcheng. 44(9). 862–871.
20.
Kong, Deming, et al.. (2017). Design and numerical simulation on an auto-cumulative flowmeter in horizontal oil–water two-phase flow. Review of Scientific Instruments. 88(11). 115003–115003. 4 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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