Mingzhu Wan

826 total citations
15 papers, 647 citations indexed

About

Mingzhu Wan is a scholar working on Plant Science, Ecology and Analytical Chemistry. According to data from OpenAlex, Mingzhu Wan has authored 15 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 7 papers in Ecology and 7 papers in Analytical Chemistry. Recurrent topics in Mingzhu Wan's work include Smart Agriculture and AI (12 papers), Remote Sensing in Agriculture (7 papers) and Spectroscopy and Chemometric Analyses (7 papers). Mingzhu Wan is often cited by papers focused on Smart Agriculture and AI (12 papers), Remote Sensing in Agriculture (7 papers) and Spectroscopy and Chemometric Analyses (7 papers). Mingzhu Wan collaborates with scholars based in China. Mingzhu Wan's co-authors include Gensheng Hu, Yan Zhang, Haoyu Wu, Xin‐She Yang, Yi Fang, Yan Zhang, Wenxia Bao, Huaiyu Wang, Weihui Zeng and Lingbao Kong and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Optics Express and International Journal of Remote Sensing.

In The Last Decade

Mingzhu Wan

15 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingzhu Wan China 12 464 221 171 99 64 15 647
Gercina Gonçalves da Silva Brazil 6 572 1.2× 168 0.8× 220 1.3× 66 0.7× 49 0.8× 9 720
Henrik Karstoft Denmark 9 596 1.3× 176 0.8× 214 1.3× 79 0.8× 46 0.7× 19 846
Kaihua Wu China 12 485 1.0× 262 1.2× 350 2.0× 84 0.8× 59 0.9× 56 840
Suraj Amatya United States 10 834 1.8× 196 0.9× 247 1.4× 165 1.7× 56 0.9× 14 947
Chad DeChant United States 7 623 1.3× 232 1.0× 230 1.3× 58 0.6× 102 1.6× 13 868
Suchet Bargoti Australia 5 554 1.2× 179 0.8× 189 1.1× 118 1.2× 61 1.0× 12 643
Thiago Teixeira Santos Brazil 10 508 1.1× 162 0.7× 149 0.9× 58 0.6× 95 1.5× 18 665
Wenzhuo Zhang China 12 573 1.2× 252 1.1× 77 0.5× 41 0.4× 78 1.2× 21 758
Everton Castel�ão Tetila Brazil 9 463 1.0× 124 0.6× 252 1.5× 176 1.8× 77 1.2× 19 712

Countries citing papers authored by Mingzhu Wan

Since Specialization
Citations

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

Fields of papers citing papers by Mingzhu Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingzhu Wan

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

All Works

15 of 15 papers shown
1.
Wan, Mingzhu, Lingbao Kong, & Xing Peng. (2023). Single-Shot Three-Dimensional Measurement by Fringe Analysis Network. Photonics. 10(4). 417–417. 12 indexed citations
2.
Wan, Mingzhu & Lingbao Kong. (2023). Single-shot 3D measurement of highly reflective objects with deep learning. Optics Express. 31(9). 14965–14965. 16 indexed citations
3.
Hu, Gensheng, et al.. (2023). Detection of Tea Leaf Blight in Low-Resolution UAV Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 10 indexed citations
4.
Wan, Mingzhu, et al.. (2023). Detection method for tea leaf blight in natural scene images based on lightweight and efficient LC3Net model. Journal of Plant Diseases and Protection. 131(1). 209–225. 10 indexed citations
5.
Hu, Gensheng, et al.. (2023). Computer vision based method for severity estimation of tea leaf blight in natural scene images. European Journal of Agronomy. 144. 126756–126756. 17 indexed citations
6.
Hu, Gensheng, Tongxiang Wang, Mingzhu Wan, Wenxia Bao, & Weihui Zeng. (2022). UAV remote sensing monitoring of pine forest diseases based on improved Mask R-CNN. International Journal of Remote Sensing. 43(4). 1274–1305. 34 indexed citations
7.
Hu, Gensheng, et al.. (2022). Detection and classification of diseased pine trees with different levels of severity from UAV remote sensing images. Ecological Informatics. 72. 101844–101844. 34 indexed citations
8.
Hu, Gensheng, Huaiyu Wang, Yan Zhang, & Mingzhu Wan. (2021). Detection and severity analysis of tea leaf blight based on deep learning. Computers & Electrical Engineering. 90. 107023–107023. 79 indexed citations
9.
Hu, Gensheng, et al.. (2021). Semantic segmentation of tea geometrid in natural scene images using discriminative pyramid network. Applied Soft Computing. 113. 107984–107984. 14 indexed citations
10.
Hu, Gensheng, et al.. (2020). Recognition of diseased Pinus trees in UAV images using deep learning and AdaBoost classifier. Biosystems Engineering. 194. 138–151. 103 indexed citations
11.
Hu, Gensheng, et al.. (2020). Detection of diseased pine trees in unmanned aerial vehicle images by using deep convolutional neural networks. Geocarto International. 37(12). 3520–3539. 18 indexed citations
12.
Hu, Gensheng, et al.. (2019). Self-adversarial Training and Attention for Multi-task Wheat Phenotyping. Applied Engineering in Agriculture. 35(6). 1009–1014. 16 indexed citations
13.
Hu, Gensheng, Xin‐She Yang, Yan Zhang, & Mingzhu Wan. (2019). Identification of tea leaf diseases by using an improved deep convolutional neural network. Sustainable Computing Informatics and Systems. 24. 100353–100353. 104 indexed citations
14.
Hu, Gensheng, Haoyu Wu, Yan Zhang, & Mingzhu Wan. (2019). A low shot learning method for tea leaf’s disease identification. Computers and Electronics in Agriculture. 163. 104852–104852. 174 indexed citations
15.
Wan, Mingzhu & Xiaoyi Li. (2016). Removing thin cloud on single remote sensing image based on SWF. 397–400. 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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