Kaixuan Zhao

957 total citations
48 papers, 676 citations indexed

About

Kaixuan Zhao is a scholar working on Animal Science and Zoology, Food Science and Small Animals. According to data from OpenAlex, Kaixuan Zhao has authored 48 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Animal Science and Zoology, 15 papers in Food Science and 11 papers in Small Animals. Recurrent topics in Kaixuan Zhao's work include Food Supply Chain Traceability (13 papers), Effects of Environmental Stressors on Livestock (13 papers) and Animal Behavior and Welfare Studies (11 papers). Kaixuan Zhao is often cited by papers focused on Food Supply Chain Traceability (13 papers), Effects of Environmental Stressors on Livestock (13 papers) and Animal Behavior and Welfare Studies (11 papers). Kaixuan Zhao collaborates with scholars based in China, United States and Philippines. Kaixuan Zhao's co-authors include Jiangtao Ji, Jun Wang, J.M. Bewley, Dongjian He, Xin Jin, Zhaomei Qiu, Zhitao He, Xin Jin, Ruihong Zhang and Hao Ma and has published in prestigious journals such as PLoS ONE, Sensors and Food Research International.

In The Last Decade

Kaixuan Zhao

47 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaixuan Zhao China 15 216 204 180 157 150 48 676
Dihua Wu China 12 262 1.2× 356 1.7× 234 1.3× 185 1.2× 23 0.2× 16 1.0k
Daobilige Su Australia 16 147 0.7× 240 1.2× 106 0.6× 181 1.2× 24 0.2× 39 801
Saman Abdanan Mehdizadeh Iran 18 126 0.6× 449 2.2× 236 1.3× 167 1.1× 71 0.5× 61 1.1k
Tateshi Fujiura Japan 11 104 0.5× 315 1.5× 117 0.7× 70 0.4× 31 0.2× 58 611
S. van Mourik Netherlands 17 120 0.6× 436 2.1× 130 0.7× 45 0.3× 28 0.2× 55 907
Aldo Calcante Italy 16 44 0.2× 517 2.5× 58 0.3× 72 0.5× 76 0.5× 67 859
Flávio Alves Damasceno Brazil 14 334 1.5× 124 0.6× 521 2.9× 62 0.4× 18 0.1× 99 839
Cedric Okinda China 17 172 0.8× 379 1.9× 272 1.5× 103 0.7× 13 0.1× 30 939
Yueju Xue China 18 407 1.9× 384 1.9× 214 1.2× 151 1.0× 13 0.1× 30 914
Innocent Nyalala China 12 112 0.5× 234 1.1× 192 1.1× 66 0.4× 16 0.1× 20 583

Countries citing papers authored by Kaixuan Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Kaixuan Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaixuan Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Kaixuan Zhao. A scholar is included among the top collaborators of Kaixuan Zhao 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 Kaixuan Zhao. Kaixuan Zhao 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.
2.
Wang, Jun, et al.. (2025). Multimodal fusion-based detection method of estrus cows using multisource data inspired by hidden Markov model algorithms. Computers and Electronics in Agriculture. 235. 110391–110391. 1 indexed citations
3.
Zhao, Kaixuan, et al.. (2025). Individual Identification of Holstein Cows from Top-View RGB and Depth Images Based on Improved PointNet++ and ConvNeXt. Agriculture. 15(7). 710–710. 2 indexed citations
4.
Li, De, Junhao Wang, Zhe Zhang, et al.. (2024). Cow-YOLO: Automatic cow mounting detection based on non-local CSPDarknet53 and multiscale neck. International journal of agricultural and biological engineering. 17(3). 193–202. 6 indexed citations
5.
Ji, Jiangtao, et al.. (2024). Detection of the farmland plow areas using RGB-D images with an improved YOLOv5 model. International journal of agricultural and biological engineering. 17(3). 156–165.
6.
Shi, Wei, Baisheng Dai, Weizheng Shen, et al.. (2023). Automatic estimation of dairy cow body condition score based on attention-guided 3D point cloud feature extraction. Computers and Electronics in Agriculture. 206. 107666–107666. 22 indexed citations
7.
8.
Zhao, Kaixuan, Arong Luo, Qing‐Song Zhou, et al.. (2023). A Chromosome-Level Genome Assembly and Evolution Analysis of Andrena camellia (Hymenoptera: Andrenidae). Genome Biology and Evolution. 15(5). 1 indexed citations
9.
Wang, Jun, et al.. (2023). Discrimination strategy using machine learning technique for oestrus detection in dairy cows by a dual-channel-based acoustic tag. Computers and Electronics in Agriculture. 210. 107949–107949. 8 indexed citations
10.
Wang, Jun, et al.. (2022). Using machine-learning technique for estrus onset detection in dairy cows from acceleration and location data acquired by a neck-tag. Biosystems Engineering. 214. 193–206. 10 indexed citations
11.
Ji, Jiangtao, Xu Zhu, Hao Ma, et al.. (2021). Apple Fruit Recognition Based on a Deep Learning Algorithm Using an Improved Lightweight Network. Applied Engineering in Agriculture. 37(1). 123–134. 7 indexed citations
12.
Zhao, Kaixuan, Ruihong Zhang, & Jiangtao Ji. (2021). A Cascaded Model Based on EfficientDet and YOLACT++ for Instance Segmentation of Cow Collar ID Tag in an Image. Sensors. 21(20). 6734–6734. 4 indexed citations
13.
Zhao, Kaixuan, et al.. (2020). Automatic body condition scoring system for dairy cows based on depth-image analysis. International journal of agricultural and biological engineering. 13(4). 45–54. 2 indexed citations
14.
Jin, Xin, et al.. (2019). Development and test of an electric precision seeder for small-size vegetable seeds. International journal of agricultural and biological engineering. 12(2). 75–81. 12 indexed citations
15.
Zhao, Kaixuan, et al.. (2019). Spectral difference analysis and identification of different maturity blueberry fruit based on hyperspectral imaging using spectral index. International journal of agricultural and biological engineering. 12(3). 134–140. 1 indexed citations
16.
Wang, Jun, et al.. (2019). IoT-based measurement system for classifying cow behavior from tri-axial accelerometer. Ciência Rural. 49(6). 18 indexed citations
17.
Jin, Xin, et al.. (2018). Development of single row automatic transplanting device for potted vegetable seedlings. International journal of agricultural and biological engineering. 11(3). 67–75. 11 indexed citations
18.
Wang, Jun, Zhitao He, Guoqiang Zheng, Song Gao, & Kaixuan Zhao. (2018). Development and validation of an ensemble classifier for real-time recognition of cow behavior patterns from accelerometer data and location data. PLoS ONE. 13(9). e0203546–e0203546. 40 indexed citations
19.
Zhao, Kaixuan, et al.. (2016). ガウスの混合モデルのリアルタイムの移動と乳牛の目標検出に基づく【JST・京大機械翻訳】. 47(5). 294. 1 indexed citations
20.
Zhao, Kaixuan & Dongjian He. (2015). Target detection method for moving cows based on background subtraction. International journal of agricultural and biological engineering. 8(1). 42–49. 14 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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