Ye Mu

436 total citations
28 papers, 277 citations indexed

About

Ye Mu is a scholar working on Plant Science, Ecology and Electrical and Electronic Engineering. According to data from OpenAlex, Ye Mu has authored 28 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 7 papers in Ecology and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Ye Mu's work include Smart Agriculture and AI (11 papers), Food Supply Chain Traceability (5 papers) and Wildlife Ecology and Conservation (4 papers). Ye Mu is often cited by papers focused on Smart Agriculture and AI (11 papers), Food Supply Chain Traceability (5 papers) and Wildlife Ecology and Conservation (4 papers). Ye Mu collaborates with scholars based in China and South Africa. Ye Mu's co-authors include Yu Sun, Tong Zhang, He Gong, Shijun Li, Ji Li, Lili Fu, Shijun Li, Ji Li, Lin Chen and Tianli Hu and has published in prestigious journals such as PLoS ONE, Frontiers in Plant Science and Sustainability.

In The Last Decade

Ye Mu

24 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ye Mu China 9 111 54 45 36 28 28 277
Man Cheng China 5 190 1.7× 42 0.8× 28 0.6× 67 1.9× 13 0.5× 11 304
Haibo Pu China 10 80 0.7× 40 0.7× 19 0.4× 26 0.7× 16 0.6× 36 250
Jiong Mu China 13 246 2.2× 80 1.5× 37 0.8× 51 1.4× 32 1.1× 41 438
Jiahua Wu China 10 214 1.9× 66 1.2× 13 0.3× 22 0.6× 25 0.9× 21 319
Adair da Silva Oliveira Brazil 8 173 1.6× 45 0.8× 46 1.0× 58 1.6× 16 0.6× 12 373
Jia Yao China 7 166 1.5× 84 1.6× 23 0.5× 24 0.7× 22 0.8× 11 366
Chengzhi Ruan China 13 326 2.9× 81 1.5× 28 0.6× 56 1.6× 26 0.9× 28 509
Jinglei Tang China 10 322 2.9× 95 1.8× 48 1.1× 93 2.6× 22 0.8× 32 507
Xinliang Tian China 6 181 1.6× 45 0.8× 14 0.3× 60 1.7× 11 0.4× 15 329
Md Nasim Reza South Korea 12 265 2.4× 23 0.4× 17 0.4× 89 2.5× 9 0.3× 63 441

Countries citing papers authored by Ye Mu

Since Specialization
Citations

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

Fields of papers citing papers by Ye Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Mu. A scholar is included among the top collaborators of Ye Mu 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 Ye Mu. Ye Mu 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.
2.
Sun, Yu, et al.. (2025). Tomato ripeness detection and fruit segmentation based on instance segmentation. Frontiers in Plant Science. 16. 1503256–1503256.
3.
Li, Zhipeng, et al.. (2025). For Precision Animal Husbandry: Precise Detection of Specific Body Parts of Sika Deer Based on Improved YOLO11. Agriculture. 15(11). 1218–1218. 1 indexed citations
4.
Gong, He, Hang Zhu, Wei Ji, et al.. (2025). CNFs/Al2O3–SiC SBD flexible e-skin to achieve dual function sensing of pressure and temperature. Materials Horizons. 12(17). 6793–6803.
5.
6.
Liu, Jingyi, et al.. (2024). GFI-YOLOv8: Sika Deer Posture Recognition Target Detection Method Based on YOLOv8. Animals. 14(18). 2640–2640. 5 indexed citations
7.
8.
Guo, Jie, et al.. (2024). Atmospheric PM2.5 Prediction Model Based on Principal Component Analysis and SSA–SVM. Sustainability. 16(2). 832–832. 7 indexed citations
9.
10.
Zhu, Hang, et al.. (2024). Ammonia Sensing Performance at Room Temperature of Ca-Doped CNFs/Al2O3 Gas Sensor. ACS Omega. 9(42). 42932–42943. 3 indexed citations
11.
Guo, Jie, Ji Li, Xiaodan Ma, et al.. (2023). Based on FCN and DenseNet Framework for the Research of Rice Pest Identification Methods. Agronomy. 13(2). 410–410. 19 indexed citations
12.
Guo, Jie, et al.. (2023). Image Fuzzy Edge Information Segmentation Based on Computer Vision and Machine Learning. Journal of Grid Computing. 21(4). 4 indexed citations
13.
Li, Ji, et al.. (2023). Research on facial recognition of sika deer based on vision transformer. Ecological Informatics. 78. 102334–102334. 5 indexed citations
14.
Zhang, Chang, et al.. (2022). Lightweight Multi-scale Convolutional Neural Network for Rice Leaf Disease燫ecognition. Computers, materials & continua/Computers, materials & continua (Print). 74(1). 983–994. 5 indexed citations
15.
Gong, He, Yu Sun, Ye Mu, et al.. (2022). Sika Deer Behavior Recognition Based on Machine Vision. Computers, materials & continua/Computers, materials & continua (Print). 73(3). 4953–4969. 5 indexed citations
16.
Li, Shijun, et al.. (2022). Lightweight individual cow identification based on Ghost combined with attention mechanism. PLoS ONE. 17(10). e0275435–e0275435. 11 indexed citations
17.
Fu, Lili, et al.. (2022). Lightweight-Convolutional Neural Network for Apple Leaf Disease Identification. Frontiers in Plant Science. 13. 831219–831219. 26 indexed citations
18.
Li, Shijun, et al.. (2021). Individual dairy cow identification based on lightweight convolutional neural network. PLoS ONE. 16(11). e0260510–e0260510. 24 indexed citations
19.
Mu, Ye, et al.. (2021). A Novel Hybrid Tag Identification Protocol for Large-Scale RFID Systems. Computers, materials & continua/Computers, materials & continua (Print). 68(2). 2515–2527. 4 indexed citations
20.
Mu, Ye, et al.. (2018). A Trace C2H2 Sensor Based on an Absorption Spectrum Technique Using a Mid-Infrared Interband Cascade Laser. Micromachines. 9(10). 530–530. 14 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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