Qinghan Dong

858 total citations · 1 hit paper
28 papers, 540 citations indexed

About

Qinghan Dong is a scholar working on Ecology, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Qinghan Dong has authored 28 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 12 papers in Atmospheric Science and 11 papers in Global and Planetary Change. Recurrent topics in Qinghan Dong's work include Remote Sensing in Agriculture (14 papers), Remote Sensing and Land Use (11 papers) and Land Use and Ecosystem Services (6 papers). Qinghan Dong is often cited by papers focused on Remote Sensing in Agriculture (14 papers), Remote Sensing and Land Use (11 papers) and Land Use and Ecosystem Services (6 papers). Qinghan Dong collaborates with scholars based in Belgium, China and Australia. Qinghan Dong's co-authors include Max Mergeay, Ludo Diels, Daniël van der Lelie, Miao Zhang, Bingfang Wu, Jos Van Orshoven, V. Krishnapillai, David J. Sherratt, Monica Höfte and Qiangzi Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular Microbiology and Sensors.

In The Last Decade

Qinghan Dong

27 papers receiving 517 citations

Hit Papers

Challenges and opportunities in remote sensing-based crop... 2022 2026 2023 2024 2022 40 80 120
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.

  1. Challenges and opportunities in remote sensing-based crop monitoring: a review
    2022 129 citations Bingfang Wu, Miao Zhang et al. National Science Review profile →

Peers

Qinghan Dong
Oz Kira Israel
Limin Wang China
Syeda Refat Sultana Pakistan
Jingyi Jiang China
Jérôme Lacoux France
Lukáš Brodský Czechia
David Roger France
Dmitry E. Kucher Russia
Swati Singh India
Georges Bertoni France
Oz Kira Israel
Qinghan Dong
Citations per year, relative to Qinghan Dong Qinghan Dong (= 1×) peers Oz Kira

Countries citing papers authored by Qinghan Dong

Since Specialization
Citations

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

Fields of papers citing papers by Qinghan Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinghan Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Qinghan Dong. A scholar is included among the top collaborators of Qinghan 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 Qinghan Dong. Qinghan 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
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Filchev, Lachezar, et al.. (2024). Crop Type Mapping and Winter Wheat Yield Prediction Utilizing Sentinel-2: A Case Study from Upper Thracian Lowland, Bulgaria. Remote Sensing. 16(7). 1144–1144. 10 indexed citations
4.
Li, Xuechen, Xiuhua Li, Qinghan Dong, et al.. (2024). SugarcaneGAN: A novel dataset generating approach for sugarcane leaf diseases based on lightweight hybrid CNN-Transformer network. Computers and Electronics in Agriculture. 219. 108762–108762. 25 indexed citations
5.
Zhang, Yuan, Xin Du, Qinghan Dong, et al.. (2024). Accurate Identification of Seed Maize Fields Based on Histogram of Stripe Slopes. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 18278–18290. 1 indexed citations
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Wu, Bingfang, Miao Zhang, Hongwei Zeng, et al.. (2022). Challenges and opportunities in remote sensing-based crop monitoring: a review. National Science Review. 10(4). nwac290–nwac290. 129 indexed citations breakdown →
8.
Liu, Xiaoxuan, Le Yu, Qinghan Dong, et al.. (2020). Cropland heterogeneity changes on the Northeast China Plain in the last three decades (1980s–2010s). PeerJ. 8. e9835–e9835. 5 indexed citations
9.
Dong, Qinghan, Jia Liu, Limin Wang, Zhongxin Chen, & Javier Gallego. (2017). Estimating Crop Area at County Level on the North China Plain with an Indirect Sampling of Segments and an Adapted Regression Estimator. Sensors. 17(11). 2638–2638. 4 indexed citations
10.
Li, Qiangzi, Xin Cao, Kun Jia, Miao Zhang, & Qinghan Dong. (2014). Crop type identification by integration of high-spatial resolution multispectral data with features extracted from coarse-resolution time-series vegetation index data. International Journal of Remote Sensing. 35(16). 6076–6088. 24 indexed citations
11.
Confalonieri, Roberto, Simone Bregaglio, G. Cappelli, et al.. (2012). Wheat modeling in Morocco unexpectedly reveals predominance of photosynthesis versus leaf area expansion plant traits. Agronomy for Sustainable Development. 33(2). 393–403. 8 indexed citations
12.
Eerens, Herman, Qinghan Dong, Pierre Ozer, & Xiufen Li. (2011). A field-based crop and land use map over Sanjiang plain in Heilongjiang derived from multi-temporal imagery of Landsat7-ETM+. SHILAP Revista de lepidopterología. 3 indexed citations
13.
Veroustraete, Frank, Qin Li, Willem W. Verstraeten, et al.. (2011). Soil moisture content retrieval based on apparent thermal inertia for Xinjiang province in China. International Journal of Remote Sensing. 33(12). 3870–3885. 29 indexed citations
14.
Li, Qiangzi, Bingfang Wu, Kun Jia, et al.. (2011). Maize acreage estimation using ENVISAT MERIS and CBERS-02B CCD data in the North China Plain. Computers and Electronics in Agriculture. 78(2). 208–214. 16 indexed citations
15.
Veroustraete, Frank, Hui Fang, Xi Chen, et al.. (2011). Diachronic Mapping of LUCC in the Northwest of China over the last half Century: Conversion of CORONA Panchromatic reflectance into LANDSAT NDVI Imagery. Lirias (KU Leuven). 194–210. 2 indexed citations
16.
Sun, Xicai, et al.. (2005). [The expression of cyclooxygenase-2 in laryngeal squamous cell carcinoma and its relationship with MVD].. PubMed. 19(21). 967–70. 4 indexed citations
17.
Lü, Ling, Xin Li, Qinghan Dong, Else Swinnen, & Frank Veroustraete. (2003). Land cover mapping and its validation for the northwest of China using SPOT Vegetation data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4890. 863–863. 1 indexed citations
18.
Dong, Qinghan, et al.. (1998). Horizontal transfer of bacterial heavy metal resistance genes and its applications in activated sludge systems. Water Science & Technology. 37(4-5). 465–468. 8 indexed citations
19.
Diels, Ludo, et al.. (1995). Theczc operon ofAlcaligenes eutrophus CH34: from resistance mechanism to the removal of heavy metals. Journal of Industrial Microbiology & Biotechnology. 14(2). 142–153. 116 indexed citations
20.
Höfte, Monica, et al.. (1994). The sss gene product, which affects pyoverdin production in Pseudomonas aeruginosa 7NSK2, is a site‐specific recombinease. Molecular Microbiology. 14(5). 1011–1020. 53 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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