Ying Dou

455 total citations
28 papers, 376 citations indexed

About

Ying Dou is a scholar working on Analytical Chemistry, Biophysics and Biomedical Engineering. According to data from OpenAlex, Ying Dou has authored 28 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Analytical Chemistry, 12 papers in Biophysics and 6 papers in Biomedical Engineering. Recurrent topics in Ying Dou's work include Spectroscopy and Chemometric Analyses (13 papers), Spectroscopy Techniques in Biomedical and Chemical Research (12 papers) and Advanced Chemical Sensor Technologies (6 papers). Ying Dou is often cited by papers focused on Spectroscopy and Chemometric Analyses (13 papers), Spectroscopy Techniques in Biomedical and Chemical Research (12 papers) and Advanced Chemical Sensor Technologies (6 papers). Ying Dou collaborates with scholars based in China, Japan and United States. Ying Dou's co-authors include Yulin Ren, Hong Mi, Ying Sun, Nan Qu, Ping Ju, Mingchao Zhu, Xiao‐Xia Xia, Jian‐Jiang Zhong, Jian‐Hui Xiao and Hongshan Ma and has published in prestigious journals such as Analytical Biochemistry, Analytica Chimica Acta and Neurocomputing.

In The Last Decade

Ying Dou

26 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Dou China 13 214 88 67 64 56 28 376
Yulin Ren China 14 232 1.1× 84 1.0× 117 1.7× 72 1.1× 154 2.8× 27 424
Alejandro García‐Reiriz Argentina 10 231 1.1× 60 0.7× 97 1.4× 75 1.2× 118 2.1× 17 459
Qing-Juan Han China 12 344 1.6× 109 1.2× 110 1.6× 114 1.8× 117 2.1× 21 594
Kris De Braekeleer Belgium 13 293 1.4× 81 0.9× 132 2.0× 35 0.5× 135 2.4× 30 460
Gabriel G. Siano Argentina 11 240 1.1× 62 0.7× 71 1.1× 59 0.9× 142 2.5× 13 334
Xiang-Dong Qing China 13 223 1.0× 56 0.6× 64 1.0× 58 0.9× 130 2.3× 38 430
Everaldo S. Medeiros Brazil 18 204 1.0× 55 0.6× 109 1.6× 58 0.9× 19 0.3× 79 948
Julio Cesar Laurentino Alves Brazil 11 349 1.6× 152 1.7× 191 2.9× 95 1.5× 68 1.2× 22 460
Sandeep Sharma India 8 125 0.6× 88 1.0× 69 1.0× 26 0.4× 23 0.4× 44 281
Laureen Coïc Belgium 9 258 1.2× 180 2.0× 118 1.8× 20 0.3× 35 0.6× 19 397

Countries citing papers authored by Ying Dou

Since Specialization
Citations

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

Fields of papers citing papers by Ying Dou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Dou

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Dou. A scholar is included among the top collaborators of Ying Dou 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 Ying Dou. Ying Dou 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.
Dou, Ying, Kōji Shimizu, Jesús Carrete, Hiroshi Fujioka, & Satoshi Watanabe. (2025). Machine-learning potential for phonon transport in AlN with defects in multiple charge states. Physical Review Materials. 9(3). 2 indexed citations
2.
Xiao, Yao, Li Xiao, Yang Zhang, et al.. (2024). Prediction of tumor lysis syndrome in childhood acute lymphoblastic leukemia based on machine learning models: a retrospective study. Frontiers in Oncology. 14. 1337295–1337295. 4 indexed citations
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Zhang, Yang, et al.. (2023). Predictive model for early death risk in pediatric hemophagocytic lymphohistiocytosis patients based on machine learning. Heliyon. 9(11). e22202–e22202. 5 indexed citations
5.
Li, Xiao, et al.. (2023). Low total cholesterol predicts early death in children with hemophagocytic lymphohistiocytosis. Frontiers in Pediatrics. 10. 1006817–1006817. 2 indexed citations
6.
Chen, Yu, et al.. (2023). Case report: Gene mutations and clinical characteristics of four patients with osteopetrosis. Frontiers in Pediatrics. 11. 1096770–1096770. 4 indexed citations
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Liu, Yan, Jie Li, Ying Dou, & Hongshan Ma. (2021). Impacts of type 2 diabetes mellitus and hypertension on the incidence of cardiovascular diseases and stroke in China real-world setting: a retrospective cohort study. BMJ Open. 11(11). e053698–e053698. 16 indexed citations
9.
Hu, Lin, Long He, Ying Dou, et al.. (2013). [Effects of soil compositions on sorption and desorption behavior of tetrachloroethylene in soil].. PubMed. 34(12). 4635–41. 2 indexed citations
10.
Dou, Ying, Jian‐Hui Xiao, Xiao‐Xia Xia, & Jian‐Jiang Zhong. (2013). Effect of oxygen supply on biomass and helvolic acid production in submerged fermentation of Cordyceps taii. Biochemical Engineering Journal. 81. 73–79. 20 indexed citations
11.
Wang, Bin, et al.. (2009). Quantitative analysis of diclofenac sodium powder via near-infrared spectroscopy combined with artificial neural network. Journal of Pharmaceutical and Biomedical Analysis. 50(2). 158–163. 19 indexed citations
12.
Dou, Ying, et al.. (2007). Calibration in non-linear NIR spectroscopy using principal component artificial neural networks. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 68(5). 1201–1206. 12 indexed citations
13.
Qu, Nan, Mingchao Zhu, Hong Mi, Ying Dou, & Yulin Ren. (2007). Nondestructive determination of compound amoxicillin powder by NIR spectroscopy with the aid of chemometrics. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 70(5). 1146–1151. 29 indexed citations
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Dou, Ying, et al.. (2006). Non-destructive determination of metronidazole powder by using artificial neural networks on short-wavelength NIR spectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 66(4-5). 1327–1332. 18 indexed citations
16.
Dou, Ying, et al.. (2006). Support vector regression for determination of component of compound oxytetracycline powder on near-infrared spectroscopy. Analytical Biochemistry. 355(1). 1–7. 37 indexed citations
17.
Dou, Ying, et al.. (2005). Determination of compound aminopyrine phenacetin tablets by using artificial neural networks combined with principal components analysis. Analytical Biochemistry. 351(2). 174–180. 21 indexed citations
18.
Dou, Ying, et al.. (2005). Radial basis function neural networks in non-destructive determination of compound aspirin tablets on NIR spectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 65(1). 79–83. 12 indexed citations
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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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