Jinzhu Lu

1.1k total citations · 1 hit paper
18 papers, 750 citations indexed

About

Jinzhu Lu is a scholar working on Plant Science, Analytical Chemistry and Ecology. According to data from OpenAlex, Jinzhu Lu has authored 18 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 10 papers in Analytical Chemistry and 5 papers in Ecology. Recurrent topics in Jinzhu Lu's work include Smart Agriculture and AI (11 papers), Spectroscopy and Chemometric Analyses (10 papers) and Remote Sensing in Agriculture (5 papers). Jinzhu Lu is often cited by papers focused on Smart Agriculture and AI (11 papers), Spectroscopy and Chemometric Analyses (10 papers) and Remote Sensing in Agriculture (5 papers). Jinzhu Lu collaborates with scholars based in China, United States and United Kingdom. Jinzhu Lu's co-authors include Huanyu Jiang, Mingchuan Zhou, Yeyin Shi, Ana Isabel de Castro, Reza Ehsani, Shuang Wang, Zongmei Gao, Min Liao, Chun‐Lin Chen and Yi Jiao and has published in prestigious journals such as Scientific Reports, Frontiers in Plant Science and Computers and Electronics in Agriculture.

In The Last Decade

Jinzhu Lu

17 papers receiving 729 citations

Hit Papers

Review on Convolutional Neural Network (CNN) Applied to P... 2021 2026 2022 2024 2021 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification
    2021 310 citations Jinzhu Lu, Huanyu Jiang et al. Agriculture profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinzhu Lu China 9 576 280 162 54 43 18 750
Muhammad Hammad Saleem New Zealand 8 1.0k 1.8× 341 1.2× 208 1.3× 40 0.7× 57 1.3× 13 1.2k
Jone Echazarra Spain 5 774 1.3× 331 1.2× 173 1.1× 24 0.4× 33 0.8× 8 851
Sue Han Lee Malaysia 7 727 1.3× 295 1.1× 178 1.1× 33 0.6× 66 1.5× 15 860
Edna C. Too Kenya 5 756 1.3× 290 1.0× 168 1.0× 31 0.6× 65 1.5× 11 922
Huarui Wu China 15 648 1.1× 202 0.7× 89 0.5× 55 1.0× 75 1.7× 74 1.0k
Mingzhu Wan China 12 464 0.8× 221 0.8× 171 1.1× 41 0.8× 64 1.5× 15 647
Pieter M. Blok Netherlands 9 472 0.8× 146 0.5× 113 0.7× 38 0.7× 71 1.7× 17 622
Keming Du China 10 669 1.2× 270 1.0× 188 1.2× 26 0.5× 40 0.9× 15 772
Chad DeChant United States 7 623 1.1× 232 0.8× 230 1.4× 64 1.2× 102 2.4× 13 868
Mingfang He China 16 566 1.0× 254 0.9× 71 0.4× 59 1.1× 72 1.7× 49 889

Countries citing papers authored by Jinzhu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jinzhu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinzhu Lu

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

All Works

18 of 18 papers shown
1.
Lu, Jinzhu, et al.. (2025). Phenotyping of navel orange based on hyperspectral imaging technology. Computers and Electronics in Agriculture. 237. 110642–110642. 1 indexed citations
2.
Lu, Jinzhu, et al.. (2025). In situ nondestructive identification of citrus fruit ripeness via hyperspectral imaging technology. Plant Methods. 21(1). 77–77. 2 indexed citations
3.
Lu, Jinzhu, et al.. (2024). Research on Device and Sensing Technology for Precision Seeding of Potato. Agriculture. 14(12). 2146–2146. 3 indexed citations
4.
Lu, Jinzhu, et al.. (2024). A method of identification and localization of tea buds based on lightweight improved YOLOV5. Frontiers in Plant Science. 15. 1488185–1488185.
5.
6.
Yang, Zhiming, et al.. (2023). The Application Status and Trends of Machine Vision in Tea Production. Applied Sciences. 13(19). 10744–10744. 8 indexed citations
7.
Lu, Jinzhu, et al.. (2023). Lettuce Plant Trace-Element-Deficiency Symptom Identification via Machine Vision Methods. Agriculture. 13(8). 1614–1614. 10 indexed citations
8.
Lu, Jinzhu, et al.. (2023). A Machine Vision-Based Method for Tea Buds Segmentation and Picking Point Location Used on a Cloud Platform. Agronomy. 13(6). 1537–1537. 6 indexed citations
9.
Lu, Jinzhu, et al.. (2023). Application of Machine Vision Technology in Citrus Production. Applied Sciences. 13(16). 9334–9334. 8 indexed citations
10.
Chen, Chun‐Lin, Jinzhu Lu, Mingchuan Zhou, et al.. (2022). A YOLOv3-based computer vision system for identification of tea buds and the picking point. Computers and Electronics in Agriculture. 198. 107116–107116. 71 indexed citations
11.
12.
Lu, Jinzhu, et al.. (2022). An Improved Method of an Image Mosaic of a Tea Garden and Tea Tree Target Extraction. AgriEngineering. 4(1). 231–254. 2 indexed citations
13.
Lu, Jinzhu, et al.. (2021). Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification. Agriculture. 11(8). 707–707. 310 indexed citations breakdown →
14.
15.
Lu, Jinzhu, Reza Ehsani, Yeyin Shi, Ana Isabel de Castro, & Shuang Wang. (2018). Detection of multi-tomato leaf diseases (late blight, target and bacterial spots) in different stages by using a spectral-based sensor. Scientific Reports. 8(1). 2793–2793. 92 indexed citations
16.
Lu, Jinzhu, et al.. (2017). Using hyperspectral imaging to discriminate yellow leaf curl disease in tomato leaves. Precision Agriculture. 19(3). 379–394. 67 indexed citations
17.
Lu, Jinzhu, Reza Ehsani, Yeyin Shi, et al.. (2017). Field detection of anthracnose crown rot in strawberry using spectroscopy technology. Computers and Electronics in Agriculture. 135. 289–299. 57 indexed citations
18.
Lu, Jinzhu, Dong Zhang, & Huanyu Jiang. (2016). Discriminating Leaves Affected with Tomato Yellow Leaf Curl through Fluorescence Imaging Using Texture and Leaf Vein Features. Transactions of the ASABE. 59(6). 1507–1515. 4 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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