Jiajun Zhuang

1.3k total citations
41 papers, 942 citations indexed

About

Jiajun Zhuang is a scholar working on Plant Science, Analytical Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jiajun Zhuang has authored 41 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 11 papers in Analytical Chemistry and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jiajun Zhuang's work include Smart Agriculture and AI (15 papers), Spectroscopy and Chemometric Analyses (11 papers) and Advanced Neural Network Applications (7 papers). Jiajun Zhuang is often cited by papers focused on Smart Agriculture and AI (15 papers), Spectroscopy and Chemometric Analyses (11 papers) and Advanced Neural Network Applications (7 papers). Jiajun Zhuang collaborates with scholars based in China, United Kingdom and Canada. Jiajun Zhuang's co-authors include Yu Tang, Chaojun Hou, Shaoming Luo, Yong He, Qiong Liu, Qiwei Guo, Sathian Dananjayan, Aimin Miao, Shuqiong Luo and Zhenyu Zhong and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Jiajun Zhuang

39 papers receiving 918 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiajun Zhuang China 18 511 204 165 107 101 41 942
Chaojun Hou China 18 707 1.4× 191 0.9× 74 0.4× 143 1.3× 221 2.2× 39 1.2k
Chenglin Wang China 14 750 1.5× 195 1.0× 208 1.3× 117 1.1× 59 0.6× 32 1.2k
Xinhua Wei China 13 601 1.2× 133 0.7× 88 0.5× 178 1.7× 68 0.7× 31 915
Marcel Tresánchez Spain 17 296 0.6× 85 0.4× 184 1.1× 128 1.2× 95 0.9× 48 889
Lufeng Luo China 18 1.1k 2.1× 261 1.3× 269 1.6× 143 1.3× 76 0.8× 63 1.6k
Hongjun Wang China 13 445 0.9× 111 0.5× 114 0.7× 63 0.6× 35 0.3× 45 692
Fuzeng Yang China 17 606 1.2× 237 1.2× 191 1.2× 103 1.0× 34 0.3× 50 1.1k
Guichao Lin China 12 794 1.6× 188 0.9× 159 1.0× 103 1.0× 32 0.3× 22 1.0k
Supreeth Achar United States 12 368 0.7× 89 0.4× 383 2.3× 152 1.4× 48 0.5× 21 860

Countries citing papers authored by Jiajun Zhuang

Since Specialization
Citations

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

Fields of papers citing papers by Jiajun Zhuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiajun Zhuang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiajun Zhuang. A scholar is included among the top collaborators of Jiajun Zhuang 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 Jiajun Zhuang. Jiajun Zhuang 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.
Zhang, Peng, Huasheng Huang, Yuanzhu Yang, et al.. (2025). Hybrid Integrated Feature Fusion of Handcrafted and Deep Features for Rice Blast Resistance Identification Using UAV Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 7304–7317. 4 indexed citations
2.
Zhuang, Jiajun, et al.. (2025). MSMT-RTDETR: A Multi-Scale Model for Detecting Maize Tassels in UAV Images with Complex Field Backgrounds. Agriculture. 15(15). 1653–1653. 1 indexed citations
3.
Huang, Yong, et al.. (2025). Raman Spectroscopy and Its Application in Fruit Quality Detection. Agriculture. 15(2). 195–195. 4 indexed citations
4.
5.
Huang, Yong, Zhiping Tan, Chaojun Hou, et al.. (2025). Machine learning and Raman spectroscopy: A novel approach to cell research and early detection of citrus black spot. Smart Agricultural Technology. 12. 101544–101544.
6.
Tang, Yu, Jiajun Zhuang, Chaojun Hou, et al.. (2023). Early detection of citrus anthracnose caused by Colletotrichum gloeosporioides using hyperspectral imaging. Computers and Electronics in Agriculture. 214. 108348–108348. 13 indexed citations
7.
Zhuang, Jiajun, Weizhao Chen, Yu Tang, et al.. (2022). Data augmentation based on multiple oversampling fusion for medical image segmentation. PLoS ONE. 17(10). e0274522–e0274522. 15 indexed citations
8.
Hou, Chaojun, Xiaodi Zhang, Yu Tang, et al.. (2022). Detection and localization of citrus fruit based on improved You Only Look Once v5s and binocular vision in the orchard. Frontiers in Plant Science. 13. 972445–972445. 27 indexed citations
9.
Tang, Yu, Huasheng Huang, Jiajun Zhuang, et al.. (2022). Multiscale voting mechanism for rice leaf disease recognition under natural field conditions. International Journal of Intelligent Systems. 37(12). 12169–12191. 2 indexed citations
10.
Zheng, Yanhua, et al.. (2021). Silencing of UCA1 Protects Against MPP+-Induced Cytotoxicity in SK-N-SH Cells via Modulating KCTD20 Expression by Sponging miR-423-5p. Neurochemical Research. 46(4). 878–887. 10 indexed citations
11.
Hou, Chaojun, et al.. (2019). An effective spray drift-reducing method for a plant-protection unmanned aerial vehicle. International journal of agricultural and biological engineering. 12(5). 14–20. 2 indexed citations
12.
Hou, Chaojun, Yu Tang, Shaoming Luo, et al.. (2019). Optimization of control parameters of droplet density in citrus trees using UAVs and the Taguchi method. International journal of agricultural and biological engineering. 12(4). 1–9. 5 indexed citations
13.
Hou, Chaojun, Yu Tang, Jiajun Zhuang, et al.. (2019). Citrus Tree Segmentation from UAV Images Based on Monocular Machine Vision in a Natural Orchard Environment. Sensors. 19(24). 5558–5558. 39 indexed citations
14.
Li, Weifeng, et al.. (2019). Cerebellar contribution to auditory feedback control of speech production: Evidence from patients with spinocerebellar ataxia. Human Brain Mapping. 40(16). 4748–4758. 31 indexed citations
15.
Hou, Chaojun, et al.. (2019). An effective spray drift-reducing method for a plant-protection unmanned aerial vehicle. International journal of agricultural and biological engineering. 12(5). 14–20. 16 indexed citations
16.
Hou, Chaojun, Yu Tang, Shaoming Luo, et al.. (2019). Optimization of control parameters of droplet density in citrus trees using UAVs and the Taguchi method. International journal of agricultural and biological engineering. 12(4). 1–9. 32 indexed citations
17.
Chu, Xuan, et al.. (2019). Evaluating Growth of Colletotrichum species by Near infrared (NIR) hyperspectral imaging. IFAC-PapersOnLine. 52(30). 257–262. 1 indexed citations
18.
Zhuang, Jiajun & Qiong Liu. (2015). Transferred IR pedestrian detector toward distinct scenarios adaptation. Neural Computing and Applications. 27(3). 557–569.
19.
Liu, Qiong, Jiajun Zhuang, & Jun Ma. (2013). Robust and fast pedestrian detection method for far-infrared automotive driving assistance systems. Infrared Physics & Technology. 60. 288–299. 51 indexed citations
20.
Liu, Qiong, Jiajun Zhuang, & Shufeng Kong. (2012). Detection of pedestrians at night time using learning-based method and head validation. 41. 398–402. 10 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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