Mei Jiang

748 total citations · 1 hit paper
15 papers, 572 citations indexed

About

Mei Jiang is a scholar working on Plant Science, Analytical Chemistry and Computer Networks and Communications. According to data from OpenAlex, Mei Jiang has authored 15 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 5 papers in Analytical Chemistry and 3 papers in Computer Networks and Communications. Recurrent topics in Mei Jiang's work include Smart Agriculture and AI (5 papers), Spectroscopy and Chemometric Analyses (5 papers) and Neural Networks Stability and Synchronization (3 papers). Mei Jiang is often cited by papers focused on Smart Agriculture and AI (5 papers), Spectroscopy and Chemometric Analyses (5 papers) and Neural Networks Stability and Synchronization (3 papers). Mei Jiang collaborates with scholars based in China and Japan. Mei Jiang's co-authors include Huaibo Song, Dihua Wu, Zhenyu Li, Lei Song, Yunfei Wang, Dongjian He, Bo Jiang, Kuixing Zhang, Lin Yang and Xiaoli Zhang and has published in prestigious journals such as IEEE Access, Computers and Electronics in Agriculture and Applied Mathematics and Computation.

In The Last Decade

Mei Jiang

13 papers receiving 553 citations

Hit Papers

Using channel pruning-based YOLO v4 deep learning algorit... 2020 2026 2022 2024 2020 100 200 300

Peers

Mei Jiang
Pan Fan China
Mei Jiang
Citations per year, relative to Mei Jiang Mei Jiang (= 1×) peers Pan Fan

Countries citing papers authored by Mei Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Mei Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Jiang. A scholar is included among the top collaborators of Mei Jiang 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 Mei Jiang. Mei Jiang 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
3.
Zhang, Xinyu, et al.. (2023). Machine learning-based evaluation of application value of pulse wave parameter model in the diagnosis of hypertensive disorder in pregnancy. Mathematical Biosciences & Engineering. 20(5). 8308–8319. 3 indexed citations
4.
Zhang, Xiaoli, Kuixing Zhang, Mei Jiang, & Lin Yang. (2021). Research on the classification of lymphoma pathological images based on deep residual neural network. Technology and Health Care. 29(S1). 335–344. 19 indexed citations
5.
Jiang, Mei, Lei Song, Yunfei Wang, Zhenyu Li, & Huaibo Song. (2021). Fusion of the YOLOv4 network model and visual attention mechanism to detect low-quality young apples in a complex environment. Precision Agriculture. 23(2). 559–577. 58 indexed citations
7.
Jiang, Mei, et al.. (2020). Combining an information-maximization-based attention mechanism and illumination invariance theory for the recognition of green apples in natural scenes. Multimedia Tools and Applications. 79(37-38). 28301–28327. 9 indexed citations
8.
Wu, Dihua, et al.. (2020). Using channel pruning-based YOLO v4 deep learning algorithm for the real-time and accurate detection of apple flowers in natural environments. Computers and Electronics in Agriculture. 178. 105742–105742. 374 indexed citations breakdown →
9.
Jiang, Mei, et al.. (2020). Study of Dynamic Tracking Algorithms for Apples Under the Influence of Oscillation. IEEE Access. 8. 32966–32974. 1 indexed citations
10.
Jiang, Mei, et al.. (2019). Recognition of green apples in an orchard environment by combining the GrabCut model and Ncut algorithm. Biosystems Engineering. 187. 201–213. 42 indexed citations
11.
Xu, Wenwei, et al.. (2017). Guaranteed Cost Anti-windup Stabilization of Discrete Delayed Cellular Neural Networks. Neural Processing Letters. 46(1). 343–354. 8 indexed citations
12.
Zhang, Kuixing, et al.. (2015). The monitoring system for Pregnancy-induced Hypertension based on Mobile Communication Technology. 9. 263–266. 2 indexed citations
13.
Lu, Yan, et al.. (2014). Study on disturbance attenuation of cellular neural networks with time-varying delays. Applied Mathematics and Computation. 244. 533–541. 1 indexed citations
14.
Jiang, Mei, et al.. (2014). Anti-windup for time-varying delayed cellular neural networks subject to input saturation. 41. 485–491. 2 indexed citations
15.
Jiang, Mei, Yuyang Chen, Yanyun Zhao, & Anni Cai. (2013). A real-time fall detection system based on HMM and RVM. 9 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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