Huaibo Song

2.3k total citations · 3 hit papers
65 papers, 1.7k citations indexed

About

Huaibo Song is a scholar working on Plant Science, Analytical Chemistry and Small Animals. According to data from OpenAlex, Huaibo Song has authored 65 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 17 papers in Analytical Chemistry and 15 papers in Small Animals. Recurrent topics in Huaibo Song's work include Smart Agriculture and AI (34 papers), Spectroscopy and Chemometric Analyses (17 papers) and Effects of Environmental Stressors on Livestock (15 papers). Huaibo Song is often cited by papers focused on Smart Agriculture and AI (34 papers), Spectroscopy and Chemometric Analyses (17 papers) and Effects of Environmental Stressors on Livestock (15 papers). Huaibo Song collaborates with scholars based in China, United States and Tunisia. Huaibo Song's co-authors include Dihua Wu, Mei Jiang, Dongjian He, Bo Jiang, Qian Wu, Changying Li, Xingshi Xu, Zheng Wang, Lei Song and Zhenyu Li and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Journal of Dairy Science.

In The Last Decade

Huaibo Song

62 papers receiving 1.7k citations

Hit Papers

Using channel pruning-based YOLO v4 deep learning algorit... 2020 2026 2022 2024 2020 2023 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huaibo Song China 23 828 403 326 300 271 65 1.7k
Yongliang Qiao China 22 719 0.9× 315 0.8× 261 0.8× 228 0.8× 341 1.3× 70 1.6k
Dihua Wu China 12 356 0.4× 262 0.7× 191 0.6× 234 0.8× 185 0.7× 16 1.0k
Yueju Xue China 18 384 0.5× 407 1.0× 138 0.4× 214 0.7× 151 0.6× 30 914
Leifeng Guo China 17 307 0.4× 231 0.6× 230 0.7× 187 0.6× 204 0.8× 61 1.0k
Dongjian He China 32 2.7k 3.2× 517 1.3× 614 1.9× 400 1.3× 417 1.5× 174 4.3k
Hao Guo China 26 236 0.3× 345 0.9× 150 0.5× 299 1.0× 129 0.5× 107 2.0k
Weizheng Shen China 21 305 0.4× 287 0.7× 104 0.3× 226 0.8× 293 1.1× 76 1.1k
J.A. Marchant United Kingdom 24 812 1.0× 152 0.4× 314 1.0× 138 0.5× 78 0.3× 92 1.6k
Lyndon Smith United Kingdom 26 256 0.3× 232 0.6× 603 1.8× 148 0.5× 143 0.5× 115 2.1k
Sook Yoon South Korea 23 1.4k 1.7× 98 0.2× 606 1.9× 71 0.2× 150 0.6× 74 2.7k

Countries citing papers authored by Huaibo Song

Since Specialization
Citations

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

Fields of papers citing papers by Huaibo Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huaibo Song

This figure shows the co-authorship network connecting the top 25 collaborators of Huaibo Song. A scholar is included among the top collaborators of Huaibo Song 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 Huaibo Song. Huaibo Song 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.
Xu, Xingshi, et al.. (2025). Fusion of CREStereo and MobileViT-Pose for rapid measurement of cattle body size. Computers and Electronics in Agriculture. 232. 110103–110103.
2.
Xu, Xingshi, et al.. (2025). Multi-camera multi-cow tracking under non-overhead views. Expert Systems with Applications. 291. 128519–128519. 2 indexed citations
3.
Qiao, Yongliang, et al.. (2025). One-stage keypoint detection network for end-to-end cow body measurement. Engineering Applications of Artificial Intelligence. 146. 110333–110333. 1 indexed citations
4.
Wang, Yanan, et al.. (2024). CenterNet-LW-SE net: integrating lightweight CenterNet and channel attention mechanism for the detection of Camellia oleifera fruits. Multimedia Tools and Applications. 83(26). 68585–68603. 2 indexed citations
5.
Wu, Tingting, et al.. (2024). In situ volume measurement of dairy cattle via neural radiance fields-based 3D reconstruction. Biosystems Engineering. 250. 105–116. 1 indexed citations
6.
Song, Huaibo, et al.. (2024). Multi-Target spraying behavior detection based on an improved YOLOv8n and ST-GCN model with Interactive of video scenes. Expert Systems with Applications. 262. 125668–125668. 2 indexed citations
7.
Wang, Yunfei, et al.. (2023). E3D: An efficient 3D CNN for the recognition of dairy cow's basic motion behavior. Computers and Electronics in Agriculture. 205. 107607–107607. 34 indexed citations
8.
Wu, Dihua, et al.. (2023). Monitoring the respiratory behavior of multiple cows based on computer vision and deep learning. Journal of Dairy Science. 106(4). 2963–2979. 24 indexed citations
9.
Li, Rong, Yuchen Wen, Shujin Zhang, et al.. (2023). Automated measurement of beef cattle body size via key point detection and monocular depth estimation. Expert Systems with Applications. 244. 123042–123042. 12 indexed citations
10.
Rong, Li, et al.. (2023). Extracting cow point clouds from multi-view RGB images with an improved YOLACT++ instance segmentation. Expert Systems with Applications. 230. 120730–120730. 18 indexed citations
11.
Li, Zhenyu, et al.. (2022). Fusion of RGB, optical flow and skeleton features for the detection of lameness in dairy cows. Biosystems Engineering. 218. 62–77. 20 indexed citations
13.
Jiang, Mei, et al.. (2020). Combining an information-maximization-based attention mechanism and illumination invariance theory for the recognition of green apples in natural scenes. Multimedia Tools and Applications. 79(37-38). 28301–28327. 9 indexed citations
14.
Song, Huaibo, et al.. (2019). Determination of cherry tomatoes soluble solids content by hyperspectral imaging technology and modified interval random frog.. 28(4). 1 indexed citations
15.
Song, Huaibo, et al.. (2018). Detection of dairy cow lameness based on fitting line slope feature of head and neck outline.. Nongye gongcheng xuebao. 34(15). 190–199. 17 indexed citations
16.
He, Dongjian, et al.. (2018). Machine vision based quantitative analysis method for seedling root system of maize images.. 27(3). 380–392. 1 indexed citations
17.
He, Dongjian, et al.. (2018). Segmentation and picking sequence planning of clustered apples.. 27(2). 309–317. 2 indexed citations
18.
Song, Huaibo, et al.. (2018). Detection of green apples in natural scenes based on saliency theory and Gaussian curve fitting. International journal of agricultural and biological engineering. 11(1). 192–198. 10 indexed citations
19.
Song, Huaibo, et al.. (2017). Recognition and reconstruction of single apple occluded by branches.. Journal of Northwest A&F University. 45(11). 138–146. 2 indexed citations
20.
Jiao, Lin, et al.. (2017). Counting method of wheat stripe rust spores based on shape factor and improved Harris corner detection.. 26(3). 193–199. 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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