Mingle Xu

935 total citations · 2 hit papers
14 papers, 543 citations indexed

About

Mingle Xu is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Mingle Xu has authored 14 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Mingle Xu's work include Smart Agriculture and AI (9 papers), Plant Virus Research Studies (5 papers) and Plant Disease Management Techniques (4 papers). Mingle Xu is often cited by papers focused on Smart Agriculture and AI (9 papers), Plant Virus Research Studies (5 papers) and Plant Disease Management Techniques (4 papers). Mingle Xu collaborates with scholars based in South Korea, China and Singapore. Mingle Xu's co-authors include Sook Yoon, Dong Sun Park, Alvaro Fuentes, Jucheng Yang, Sheng Liu, Yongchae Jeong, Yao Meng, Jiajia Li, Lirong Xiang and Dong Chen and has published in prestigious journals such as IEEE Access, Frontiers in Plant Science and Pattern Recognition.

In The Last Decade

Mingle Xu

14 papers receiving 533 citations

Hit Papers

align trajectories

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.

A Comprehensive Survey of Image Augmentation Techniques for Deep Learning

2023 319 citations Mingle Xu, Sook Yoon et al. Pattern Recognition profile →
Foundation models in smart agriculture: Basics, opportunities, and challenges

2024 42 citations Jiajia Li, Mingle Xu 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						Papers	Cites
Mingle Xu South Korea	9	189	131	122	49	46	14	543
Meili Sun China	7	162 0.9×	138 1.1×	77 0.6×	84 1.7×	50 1.1×	10	598
Yaganteeswarudu Akkem India	6	139 0.7×	151 1.2×	83 0.7×	39 0.8×	33 0.7×	11	505
Zhenyu Zhong China	13	159 0.8×	85 0.6×	153 1.3×	46 0.9×	41 0.9×	30	470
Jiaqi Wang China	10	100 0.5×	145 1.1×	239 2.0×	32 0.7×	34 0.7×	53	526
Sunil Kumar Jha India	6	169 0.9×	89 0.7×	87 0.7×	47 1.0×	130 2.8×	10	511
Tawseef Ayoub Shaikh India	11	339 1.8×	101 0.8×	48 0.4×	50 1.0×	78 1.7×	25	718
Ricardo J. Barrientos Chile	7	145 0.8×	95 0.7×	94 0.8×	91 1.9×	15 0.3×	42	409
Musa Mohd Mokji Malaysia	12	143 0.8×	73 0.6×	228 1.9×	56 1.1×	30 0.7×	66	546
Ruber Hernández-García Chile	9	155 0.8×	90 0.7×	98 0.8×	92 1.9×	21 0.5×	46	467
Yuwei Li China	10	94 0.5×	99 0.8×	169 1.4×	32 0.7×	17 0.4×	24	366

Countries citing papers authored by Mingle Xu

Since Specialization

Citations

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

Fields of papers citing papers by Mingle Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingle Xu

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

1.

Xu, Mingle, et al.. (2024). Plant disease recognition datasets in the age of deep learning: challenges and opportunities. Frontiers in Plant Science. 15. 1452551–1452551. 8 indexed citations

2.

Li, Jiajia, Mingle Xu, Lirong Xiang, et al.. (2024). Foundation models in smart agriculture: Basics, opportunities, and challenges. Computers and Electronics in Agriculture. 222. 109032–109032. 42 indexed citations breakdown →

3.

Xu, Mingle, Jaehwan Lee, Sook Yoon, Hyongsuk Kim, & Dong Sun Park. (2024). Variation-aware semantic image synthesis. Image and Vision Computing. 142. 104914–104914. 1 indexed citations

4.

Meng, Yao, Mingle Xu, Hyongsuk Kim, et al.. (2023). Known and unknown class recognition on plant species and diseases. Computers and Electronics in Agriculture. 215. 108408–108408. 7 indexed citations

5.

Xu, Mingle, Hyongsuk Kim, Jucheng Yang, et al.. (2023). Embracing limited and imperfect training datasets: opportunities and challenges in plant disease recognition using deep learning. Frontiers in Plant Science. 14. 1225409–1225409. 24 indexed citations

6.

Xu, Mingle, Sook Yoon, Alvaro Fuentes, & Dong Sun Park. (2023). A Comprehensive Survey of Image Augmentation Techniques for Deep Learning. Pattern Recognition. 137. 109347–109347. 319 indexed citations breakdown →

7.

Xu, Mingle, Sook Yoon, Yongchae Jeong, & Dong Sun Park. (2022). Transfer learning for versatile plant disease recognition with limited data. Frontiers in Plant Science. 13. 1010981–1010981. 30 indexed citations

8.

Xu, Mingle, Sook Yoon, Alvaro Fuentes, Jucheng Yang, & Dong Sun Park. (2022). Style-Consistent Image Translation: A Novel Data Augmentation Paradigm to Improve Plant Disease Recognition. Frontiers in Plant Science. 12. 773142–773142. 40 indexed citations

9.

Xu, Mingle, Sook Yoon, Jae-Su Lee, & Dong Sun Park. (2022). Unsupervised Transfer Learning for Plant Anomaly Recognition. 11(4). 30–37. 1 indexed citations

10.

Lee, John J., et al.. (2022). Data-centric annotation analysis for plant disease detection: Strategy, consistency, and performance. Frontiers in Plant Science. 13. 1037655–1037655. 24 indexed citations

11.

Meng, Yao, Mingle Xu, Sook Yoon, Yongchae Jeong, & Dong Sun Park. (2022). Flexible and high quality plant growth prediction with limited data. Frontiers in Plant Science. 13. 989304–989304. 10 indexed citations

12.

Xu, Mingle, Jaehwan Lee, Alvaro Fuentes, et al.. (2021). Instance-Level Image Translation With a Local Discriminator. IEEE Access. 9. 111802–111813. 3 indexed citations

13.

Xu, Mingle, et al.. (2017). A Novel Heuristic Communication Heterogeneous Dual Population Ant Colony Optimization Algorithm. IEEE Access. 5. 18506–18515. 33 indexed citations

14.

Xu, Mingle & Xiaoming You. (2016). Optimum Design for Tourism Line Based on Improved Ant Colony System Algorithm. 7(2). 1–8. 1 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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