Xiaojun Jin

656 total citations
24 papers, 473 citations indexed

About

Xiaojun Jin is a scholar working on Plant Science, Analytical Chemistry and Cell Biology. According to data from OpenAlex, Xiaojun Jin has authored 24 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 5 papers in Analytical Chemistry and 3 papers in Cell Biology. Recurrent topics in Xiaojun Jin's work include Smart Agriculture and AI (15 papers), Plant Disease Management Techniques (8 papers) and Spectroscopy and Chemometric Analyses (5 papers). Xiaojun Jin is often cited by papers focused on Smart Agriculture and AI (15 papers), Plant Disease Management Techniques (8 papers) and Spectroscopy and Chemometric Analyses (5 papers). Xiaojun Jin collaborates with scholars based in China, United States and France. Xiaojun Jin's co-authors include Jun Che, Yong Chen, Jialin Yu, Muthukumar Bagavathiannan, Yong Chen, Yanxia Sun, Teng Liu, Yong Chen, Kang Han and Patrick E. McCullough and has published in prestigious journals such as IEEE Access, Computers and Electronics in Agriculture and Pest Management Science.

In The Last Decade

Xiaojun Jin

22 papers receiving 449 citations

Peers

Xiaojun Jin

ECOLO

Guanao Zhao China

Wentai Fang China

Yali Feng China

Zhihao Liu China

Ioannis Malounas Greece

Nikos Mylonas Greece

Kyosuke Yamamoto Japan

Jinglei Tang China

Longzhe Quan China

Guanao Zhao China

Xiaojun Jin

310 ×0.8

88 ×0.9

81 ×0.9

ECOLO

40 ×0.7

15 ×0.5

Citations per year, relative to Xiaojun Jin Xiaojun Jin (= 1×) peers Guanao Zhao

Countries citing papers authored by Xiaojun Jin

Since Specialization

Citations

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

Fields of papers citing papers by Xiaojun Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Jin. A scholar is included among the top collaborators of Xiaojun Jin 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 Xiaojun Jin. Xiaojun Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lin, Shili, et al.. (2025). How can media attention reveal ESG improvement opportunities? A multi-algorithm machine learning-based approach for Taiwan’s electronics industry. The North American Journal of Economics and Finance. 78. 102431–102431. 1 indexed citations

Huang, Zihui, et al.. (2025). Continuous Cropping of Tussilago farfara L. Has a Significant Impact on the Yield and Quality of Its Flower Buds, and Physicochemical Properties and the Microbial Communities of Rhizosphere Soil. Life. 15(3). 404–404. 1 indexed citations

Jin, Xiaojun, et al.. (2025). Deep learning‐based weed detection for precision herbicide application in turf. Pest Management Science. 81(7). 3597–3609. 3 indexed citations

Li, Mian, et al.. (2025). Recent Advances and Applications of Nondestructive Testing in Agricultural Products: A Review. Processes. 13(9). 2674–2674. 1 indexed citations

Liu, Teng, et al.. (2024). Lightweight cabbage segmentation network and improved weed detection method. Computers and Electronics in Agriculture. 226. 109403–109403. 9 indexed citations

Liu, Teng, et al.. (2024). Efficient crop segmentation net and novel weed detection method. European Journal of Agronomy. 161. 127367–127367. 4 indexed citations

Jin, Xiaojun, et al.. (2024). Detection and coverage estimation of purple nutsedge in turf with image classification neural networks. Pest Management Science. 80(7). 3504–3515. 11 indexed citations

Chen, Xin, et al.. (2024). TSP-yolo-based deep learning method for monitoring cabbage seedling emergence. European Journal of Agronomy. 157. 127191–127191. 25 indexed citations

Wang, Yajun, et al.. (2024). A Velocity-Adaptive MPC-Based Path Tracking Method for Heavy-Duty Forklift AGVs. Machines. 12(8). 558–558.

10.

Liu, Teng, et al.. (2024). Semi-supervised learning for detection of sedges in sod farms. Crop Protection. 179. 106626–106626. 5 indexed citations

11.

Jin, Xiaojun, et al.. (2024). Enhancing College Student Education and Management through Semisupervised Learning. Journal of Sensors. 2024(1). 1 indexed citations

12.

Liu, Teng, et al.. (2023). Semi-supervised learning and attention mechanism for weed detection in wheat. Crop Protection. 174. 106389–106389. 20 indexed citations

13.

Jin, Xiaojun, Yanxia Sun, Jun Che, et al.. (2022). A novel deep learning‐based method for detection of weeds in vegetables. Pest Management Science. 78(5). 1861–1869. 96 indexed citations

14.

Jin, Xiaojun, Muthukumar Bagavathiannan, Patrick E. McCullough, Yong Chen, & Jialin Yu. (2022). A deep learning‐based method for classification, detection, and localization of weeds in turfgrass. Pest Management Science. 78(11). 4809–4821. 28 indexed citations

15.

Jin, Xiaojun, Teng Liu, Yong Chen, & Jialin Yu. (2022). Deep Learning-Based Weed Detection in Turf: A Review. Agronomy. 12(12). 3051–3051. 27 indexed citations

16.

Jin, Xiaojun, Jun Che, & Yong Chen. (2021). Weed Identification Using Deep Learning and Image Processing in Vegetable Plantation. IEEE Access. 9. 10940–10950. 162 indexed citations

17.

Zhuang, Jiayao, Xuehan Li, Muthukumar Bagavathiannan, et al.. (2021). Evaluation of different deep convolutional neural networks for detection of broadleaf weed seedlings in wheat. Pest Management Science. 78(2). 521–529. 44 indexed citations

18.

Chen, Jun, et al.. (2015). Research on a Parallel Robot for Tea Flushes Plucking. Advances in economics, business and management research. 8. 12 indexed citations

19.

Jin, Xiaojun, et al.. (2013). Tea Flushes Identification Based on Machine Vision for High-Quality Tea at Harvest. Applied Mechanics and Materials. 288. 214–218. 4 indexed citations

20.

Jin, Xiaojun, et al.. (2001). [The study on non-contact detection of breathing and heartbeat based on radar principles].. PubMed. 25(3). 132–5. 6 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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