Q. Dong

552 total citations
20 papers, 435 citations indexed

About

Q. Dong is a scholar working on Ecology, Molecular Biology and Global and Planetary Change. According to data from OpenAlex, Q. Dong has authored 20 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 6 papers in Molecular Biology and 5 papers in Global and Planetary Change. Recurrent topics in Q. Dong's work include Remote Sensing in Agriculture (6 papers), Remote Sensing and Land Use (3 papers) and Hydrology and Watershed Management Studies (2 papers). Q. Dong is often cited by papers focused on Remote Sensing in Agriculture (6 papers), Remote Sensing and Land Use (3 papers) and Hydrology and Watershed Management Studies (2 papers). Q. Dong collaborates with scholars based in China, Belgium and United States. Q. Dong's co-authors include Marian Ludgate, G Vassart, Gilbert Vassart, Martijn Simons, Luc Mercken, Jasmine Parma, Michael Ricketts, Max Mergeay, Daniël van der Lelie and S. Taghavi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Journal of Bacteriology.

In The Last Decade

Q. Dong

19 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Q. Dong China 9 129 109 78 67 62 20 435
Dongsheng Chen China 12 254 2.0× 24 0.2× 44 0.6× 80 1.2× 174 2.8× 40 722
Min Yu China 19 149 1.2× 65 0.6× 73 0.9× 74 1.1× 25 0.4× 77 1.1k
Rongqing Zhang China 13 126 1.0× 42 0.4× 56 0.7× 49 0.7× 26 0.4× 25 670
Ganlin Wu China 12 107 0.8× 12 0.1× 60 0.8× 11 0.2× 39 0.6× 32 380
Leslie E. Hart Canada 16 57 0.4× 25 0.2× 79 1.0× 359 5.4× 25 0.4× 23 692
Paul J. Franco United States 7 148 1.1× 31 0.3× 43 0.6× 92 1.4× 72 1.2× 13 421
André Schützenmeister Germany 13 80 0.6× 27 0.2× 67 0.9× 9 0.1× 73 1.2× 17 421
Qi Shi China 12 209 1.6× 64 0.6× 28 0.4× 8 0.1× 38 0.6× 22 444
R. N. Murdoch Australia 17 105 0.8× 56 0.5× 23 0.3× 72 1.1× 67 1.1× 50 717

Countries citing papers authored by Q. Dong

Since Specialization
Citations

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

Fields of papers citing papers by Q. Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Q. Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Q. Dong. A scholar is included among the top collaborators of Q. Dong 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 Q. Dong. Q. Dong 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.
Chen, Qiming, Yan Gu, Yikai Wang, et al.. (2025). Development of a smartphone-assisted multiple colorimetric detection assay for GSH in food based on the degradation of gold nanorods. Analytical Sciences. 41(4). 335–343. 1 indexed citations
2.
3.
Wang, Yikai, Qiming Chen, Q. Dong, et al.. (2025). Optimization of fermentation conditions for enhancing the antioxidant activity of medicine and food homologous materials using Lactobacillus plantarum. Letters in Applied Microbiology. 78(4). 1 indexed citations
4.
Dong, Q., Xinyu Hu, Yuxin Yang, et al.. (2025). Sensory Insights in Aging: Exploring the Impact on Improving Dietary Through Sensory Enhancement. Food Science & Nutrition. 13(3). e70074–e70074. 2 indexed citations
5.
Yu, Yang, Q. Dong, Jiaxu Wang, et al.. (2024). Chitosan oligosaccharide efficiently inhibits Cronobacter sakazakii biofilm by interacting with out membrane protein A for regulating CpxRA-mediated cellulose production pathway. International Journal of Biological Macromolecules. 282(Pt 6). 137302–137302. 2 indexed citations
6.
Dong, Q., et al.. (2024). High-Precision Joint TDOA and FDOA Location System. Remote Sensing. 16(4). 693–693. 3 indexed citations
7.
Kerdiles, Hervé, Q. Dong, Spyridon Spyratos, & F. J. Gallego. (2014). Use of high resolution imagery and ground survey data for estimating crop areas in Mengcheng county, China. IOP Conference Series Earth and Environmental Science. 17. 12057–12057. 1 indexed citations
8.
Wang, Lixin, et al.. (2012). Preface "Water, climate, and vegetation: ecohydrology in a changing world". Hydrology and earth system sciences. 16(12). 4633–4636. 10 indexed citations
9.
Veroustraete, Frank, Q. Li, Willem W. Verstraeten, et al.. (2012). The AMSL LST algorithm validated for the Xinjiang Autonomous Region in China. International Journal of Remote Sensing. 33(12). 3886–3906. 4 indexed citations
10.
Willems, Patrick, Tie Liu, Anming Bao, et al.. (2009). Hydrological modelling in support of emergency water allocation studies in the Xinjiang Province in China. 107–110. 1 indexed citations
11.
Hufkens, Koen, Jan Bogaert, Q. Dong, et al.. (2008). Impacts and uncertainties of upscaling of remote-sensing data validation for a semi-arid woodland. Journal of Arid Environments. 72(8). 1490–1505. 39 indexed citations
12.
Lu, Linlin, Xin Li, Chunlin Huang, et al.. (2005). Investigating the relationship between ground‐measured LAI and vegetation indices in an alpine meadow, north‐west China. International Journal of Remote Sensing. 26(20). 4471–4484. 22 indexed citations
13.
Lu, Lei, Mingguo Ma, Tao Che, et al.. (2004). Investigating relationship between landsat ETM+ data and LAI in a semi-arid grassland of Northwest China. 6. 3622–3625. 5 indexed citations
14.
Lu, Lizhen, Xin Li, Frank Veroustraete, & Q. Dong. (2004). Estimation of NPP in Western China using remote sensing and the C-Fix Model. 1. 12–15. 2 indexed citations
15.
Ghyoot, Wouter, et al.. (2000). Bioaugmentation with the clc-element carrying Pseudomonas putida BN210 in a membrane separation bioreactor. Water Science & Technology. 41(10-11). 279–286. 10 indexed citations
16.
Collard, Jean‐Marc, Philippe Corbisier, Ludo Diels, et al.. (1994). Plasmids for heavy metal resistance inAlcaligenes eutrophusCH34: Mechanisms and applications. FEMS Microbiology Reviews. 14(4). 405–414. 95 indexed citations
17.
Dong, Q., Daniël van der Lelie, S. Taghavi, et al.. (1992). Cloning and sequencing of IS1086, an Alcaligenes eutrophus insertion element related to IS30 and IS4351. Journal of Bacteriology. 174(24). 8133–8138. 43 indexed citations
18.
Dong, Q., Marian Ludgate, & G Vassart. (1991). Cloning and Sequencing of a Novel 64-kDa Autoantigen Recognized by Patients with Autoimmune Thyroid Disease*. The Journal of Clinical Endocrinology & Metabolism. 72(6). 1375–1381. 68 indexed citations
19.
20.
Ricketts, Michael, Martijn Simons, Jasmine Parma, et al.. (1987). A nonsense mutation causes hereditary goitre in the Afrikander cattle and unmasks alternative splicing of thyroglobulin transcripts.. Proceedings of the National Academy of Sciences. 84(10). 3181–3184. 99 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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