Xiongzhe Han

1.2k total citations · 1 hit paper
66 papers, 809 citations indexed

About

Xiongzhe Han is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Xiongzhe Han has authored 66 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Plant Science, 19 papers in Ecology and 16 papers in Environmental Engineering. Recurrent topics in Xiongzhe Han's work include Smart Agriculture and AI (31 papers), Remote Sensing in Agriculture (17 papers) and Remote Sensing and LiDAR Applications (15 papers). Xiongzhe Han is often cited by papers focused on Smart Agriculture and AI (31 papers), Remote Sensing in Agriculture (17 papers) and Remote Sensing and LiDAR Applications (15 papers). Xiongzhe Han collaborates with scholars based in South Korea, China and United States. Xiongzhe Han's co-authors include Hak-Jin Kim, J. Alex Thomasson, Hyun Ho Noh, Jung Hun Kim, Chang‐Ho Yun, Tianyi Wang, Peng Gao, William L. Rooney, Anjin Chang and Pingan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Experimental Botany and Expert Systems with Applications.

In The Last Decade

Xiongzhe Han

64 papers receiving 793 citations

Hit Papers

Robotic arms in precision... 2024 2026 2024 10 20 30 40 50
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. Robotic arms in precision agriculture: A comprehensive review of the technologies, applications, challenges, and future prospects
    2024 56 citations Xiongzhe Han et al. Computers and Electronics in 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
Xiongzhe Han South Korea 17 467 201 160 113 81 66 809
Hak-Jin Kim South Korea 19 595 1.3× 227 1.1× 180 1.1× 118 1.0× 95 1.2× 100 1.3k
Scarlett Liu Australia 13 347 0.7× 158 0.8× 210 1.3× 73 0.6× 42 0.5× 24 779
T. Hague United Kingdom 13 698 1.5× 258 1.3× 144 0.9× 101 0.9× 115 1.4× 22 936
Shengde Chen China 20 961 2.1× 222 1.1× 128 0.8× 46 0.4× 51 0.6× 51 1.3k
Luis Emmi Spain 16 581 1.2× 142 0.7× 83 0.5× 102 0.9× 99 1.2× 32 927
Alessandro Biglia Italy 20 539 1.2× 354 1.8× 335 2.1× 59 0.5× 71 0.9× 49 1.2k
John Nowatzki United States 11 381 0.8× 241 1.2× 135 0.8× 50 0.4× 39 0.5× 31 700
Dimitrios S. Paraforos Germany 20 706 1.5× 254 1.3× 257 1.6× 253 2.2× 82 1.0× 67 1.2k
Aristotelis C. Tagarakis Greece 19 718 1.5× 343 1.7× 233 1.5× 38 0.3× 83 1.0× 40 1.3k
Ajay Sharda United States 16 509 1.1× 189 0.9× 92 0.6× 113 1.0× 32 0.4× 75 816

Countries citing papers authored by Xiongzhe Han

Since Specialization
Citations

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

Fields of papers citing papers by Xiongzhe Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiongzhe Han

This figure shows the co-authorship network connecting the top 25 collaborators of Xiongzhe Han. A scholar is included among the top collaborators of Xiongzhe Han 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 Xiongzhe Han. Xiongzhe Han 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.
Lyu, Yang, Xiongzhe Han, Pingan Wang, Jae-Uk Shin, & Ming‐Shaung Ju. (2025). Unmanned Aerial Vehicle-Based RGB Imaging and Lightweight Deep Learning for Downy Mildew Detection in Kimchi Cabbage. Remote Sensing. 17(14). 2388–2388. 1 indexed citations
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Han, Xiongzhe, et al.. (2025). Fusion of Multisensor and Multitemporal Data for Early Diagnosis of Litchi Downy Blight Disease. IEEE Sensors Journal. 25(13). 25647–25660.
5.
Wang, Pingan, Ju-Seok Nam, & Xiongzhe Han. (2024). Development of a comprehensive fatigue detection model for beekeeping activities based on deep learning and EEG signals. Computers and Electronics in Agriculture. 225. 109265–109265. 2 indexed citations
6.
Wang, Pingan, et al.. (2024). Development of an autonomous drone spraying control system based on the coefficient of variation of spray distribution. Computers and Electronics in Agriculture. 227. 109529–109529. 5 indexed citations
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Wang, Pingan, et al.. (2024). Development of an automatic beehive transporting system based on YOLO and DeepSORT algorithms. Computers and Electronics in Agriculture. 229. 109749–109749. 1 indexed citations
9.
Lee, Dae-Hyun, et al.. (2024). Coverage Estimation of Droplets Sprayed on Water-Sensitive Papers Based on Domain-Adaptive Segmentation. Drones. 8(11). 670–670. 4 indexed citations
10.
Han, Xiongzhe, et al.. (2024). Advancements in variable rate spraying for precise spray requirements in precision agriculture using Unmanned aerial spraying Systems: A review. Computers and Electronics in Agriculture. 219. 108841–108841. 34 indexed citations
11.
Rajan, Nithya, Curtis B. Adams, Haly Neely, et al.. (2024). High-accuracy infrared thermography of cotton canopy temperature by unmanned aerial systems (UAS): Evaluating in-season prediction of yield. SHILAP Revista de lepidopterología. 7. 100393–100393. 5 indexed citations
12.
Han, Xiongzhe, et al.. (2023). Modeling of the control logic of a UASS based on coefficient of variation spraying distribution analysis in an indoor flight simulator. Frontiers in Plant Science. 14. 1235548–1235548. 3 indexed citations
13.
Liu, Xiaohang, C. Igathinathane, Paulo Flores, et al.. (2023). Infield corn kernel detection using image processing, machine learning, and deep learning methodologies under natural lighting. Expert Systems with Applications. 238. 122278–122278. 12 indexed citations
14.
Lee, Dae-Hyun, et al.. (2023). Analysis of spraying performance of agricultural drones according to flight conditions. Korean Journal of Agricultural Science. 50(3). 469–477. 2 indexed citations
15.
Kim, Kyoung Su, et al.. (2023). Detection of Black Spot Disease on Kimchi Cabbage Using Hyperspectral Imaging and Machine Learning Techniques. Agriculture. 13(12). 2215–2215. 4 indexed citations
16.
Li, Yunxi, C. Igathinathane, Paulo Flores, et al.. (2023). Comprehensive wheat lodging detection after initial lodging using UAV RGB images. Expert Systems with Applications. 238. 121788–121788. 19 indexed citations
17.
Shin, Beom-Soo, et al.. (2022). Development of Multiple UAV Collaborative Driving Systems for Improving Field Phenotyping. Sensors. 22(4). 1423–1423. 16 indexed citations
18.
Gao, Peng, Chang‐Ho Yun, Hak-Jin Kim, et al.. (2022). Improved Position Estimation Algorithm of Agricultural Mobile Robots Based on Multisensor Fusion and Autoencoder Neural Network. Sensors. 22(4). 1522–1522. 15 indexed citations
19.
Gao, Peng, Jiaxing Xie, Ping Zhou, et al.. (2021). Improved Soil Moisture and Electrical Conductivity Prediction of Citrus Orchards Based on IoT Using Deep Bidirectional LSTM. Agriculture. 11(7). 635–635. 24 indexed citations
20.
Thomasson, J. Alex, Xiongzhe Han, Chao Sima, et al.. (2019). UAV data reliability improvements based on multifunctional GCPs. 9–9. 2 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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