Dong Hu

2.6k total citations · 1 hit paper
90 papers, 2.1k citations indexed

About

Dong Hu is a scholar working on Analytical Chemistry, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Dong Hu has authored 90 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Analytical Chemistry, 24 papers in Computer Vision and Pattern Recognition and 24 papers in Biomedical Engineering. Recurrent topics in Dong Hu's work include Spectroscopy and Chemometric Analyses (34 papers), Optical Imaging and Spectroscopy Techniques (12 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (11 papers). Dong Hu is often cited by papers focused on Spectroscopy and Chemometric Analyses (34 papers), Optical Imaging and Spectroscopy Techniques (12 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (11 papers). Dong Hu collaborates with scholars based in China, United States and United Kingdom. Dong Hu's co-authors include Martin J. Blunt, Yibin Ying, Renfu Lu, Lijuan Xie, Yuping Huang, Xiaping Fu, Shancheng Yan, Kunjie Chen, Bojun Wang and Xueming He and has published in prestigious journals such as Scientific Reports, Food Chemistry and Trends in Food Science & Technology.

In The Last Decade

Dong Hu

79 papers receiving 2.0k citations

Hit Papers

Pore-network extraction from micro-computerized-tomograph... 2009 2026 2014 2020 2009 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong Hu China 19 922 758 501 473 310 90 2.1k
Guicai Zhang China 30 1.8k 2.0× 899 1.2× 866 1.7× 979 2.1× 253 0.8× 132 2.8k
Shengnan Chen China 30 1.6k 1.7× 1.1k 1.5× 1.5k 3.0× 190 0.4× 200 0.6× 203 3.1k
Saeid Jamshidi Iran 19 622 0.7× 311 0.4× 469 0.9× 85 0.2× 157 0.5× 57 1.2k
Zhengming Yang China 27 1.5k 1.6× 1.2k 1.6× 1.2k 2.5× 134 0.3× 92 0.3× 178 2.2k
Jianping Wei China 28 1.0k 1.1× 944 1.2× 329 0.7× 23 0.0× 120 0.4× 101 2.0k
Mahmoud Meribout United Arab Emirates 24 376 0.4× 524 0.7× 349 0.7× 130 0.3× 440 1.4× 103 1.5k
Ruina Xu China 41 931 1.0× 827 1.1× 2.0k 4.1× 91 0.2× 781 2.5× 145 4.4k
Gang Lu United Kingdom 28 100 0.1× 236 0.3× 219 0.4× 243 0.5× 571 1.8× 97 2.2k
Zhibin Wang China 29 148 0.2× 136 0.2× 344 0.7× 189 0.4× 529 1.7× 188 3.5k

Countries citing papers authored by Dong Hu

Since Specialization
Citations

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

Fields of papers citing papers by Dong Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Hu. A scholar is included among the top collaborators of Dong Hu 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 Dong Hu. Dong Hu 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.
Yang, Jie, et al.. (2025). Knowledge-guided temperature correction method for soluble solids content detection of watermelon based on Vis/NIR spectroscopy. Artificial Intelligence in Agriculture. 15(1). 88–97. 7 indexed citations
2.
Guo, Ting, Yumeng Peng, Wei Liu, et al.. (2025). MAF-YOLOv8: A lightweight, high-precision deep learning model applied to real-time detection and counting of Betula luminifera seedling leaves. Industrial Crops and Products. 235. 121716–121716.
3.
Wang, Aichen, Yuanzhi Xu, Dong Hu, et al.. (2025). Tomato Yield Estimation Using an Improved Lightweight YOLO11n Network and an Optimized Region Tracking-Counting Method. Agriculture. 15(13). 1353–1353. 2 indexed citations
4.
Huang, Yuping, et al.. (2025). Overview of Deep Learning and Nondestructive Detection Technology for Quality Assessment of Tomatoes. Foods. 14(2). 286–286. 13 indexed citations
5.
Chen, Gen‐Qiang, et al.. (2024). Spatial frequency domain imaging combining profile correction enables accurate real-time quantitative mapping of optical properties of apples. Postharvest Biology and Technology. 212. 112897–112897. 5 indexed citations
6.
Wang, Shouwei, et al.. (2024). An Improved YOLOv7-Tiny Method for the Segmentation of Images of Vegetable Fields. Agriculture. 14(6). 856–856. 2 indexed citations
7.
Liu, Wei, et al.. (2024). Classification of Apple Color and Deformity Using Machine Vision Combined with CNN. Agriculture. 14(7). 978–978. 21 indexed citations
8.
Huang, Yuping, et al.. (2024). Recent Advances in Light Penetration Depth for Postharvest Quality Evaluation of Fruits and Vegetables. Foods. 13(17). 2688–2688. 14 indexed citations
9.
Gao, Shiya, Hao Liang, Dong Hu, et al.. (2024). SAM-ResNet50: A Deep Learning Model for the Identification and Classification of Drought Stress in the Seedling Stage of Betula luminifera. Remote Sensing. 16(22). 4141–4141. 2 indexed citations
10.
Song, Zixuan, et al.. (2024). A Lightweight YOLO Model for Rice Panicle Detection in Fields Based on UAV Aerial Images. Drones. 9(1). 1–1. 5 indexed citations
11.
Zhang, Tingsong, et al.. (2024). Identification of Dendrobium Using Laser-Induced Breakdown Spectroscopy in Combination with a Multivariate Algorithm Model. Foods. 13(11). 1676–1676. 5 indexed citations
12.
Hu, Dong, et al.. (2023). Analysis of Light Penetration Depth in Apple Tissues by Depth-Resolved Spatial-Frequency Domain Imaging. Foods. 12(9). 1783–1783. 7 indexed citations
13.
Sun, Tong, Yi‐Tao Wang, Mingyue Li, & Dong Hu. (2023). Raman Spectroscopic Study of Five Typical Plasticizers Based on DFT and HF Theoretical Calculation. Foods. 12(15). 2888–2888. 5 indexed citations
14.
Hu, Dong, et al.. (2023). Profile-based diffuse reflectance corrections for improved optical property measurement of spherical fruit with spatial frequency domain imaging. Postharvest Biology and Technology. 204. 112453–112453. 9 indexed citations
17.
Hu, Dong, Renfu Lu, & Yibin Ying. (2020). Spatial-frequency domain imaging coupled with frequency optimization for estimating optical properties of two-layered food and agricultural products. Journal of Food Engineering. 277. 109909–109909. 26 indexed citations
18.
Hu, Dong. (2014). Cooling Down the “Choice Fever”:From Internal Interventions to Social Governance. 1 indexed citations
19.
Hu, Dong. (2011). 3D High Resolution Reservoir Characterization Technique Based on CT Imaging and Application. Xinjiang shiyou dizhi. 3 indexed citations
20.
Liu, Feng, et al.. (2003). H.263 video codec implementation based on multimedia DSP. Journal of Electronics (China). 20(2). 128–131. 1 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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