Yongsheng Si

738 total citations
27 papers, 556 citations indexed

About

Yongsheng Si is a scholar working on Plant Science, Food Science and Analytical Chemistry. According to data from OpenAlex, Yongsheng Si has authored 27 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 6 papers in Food Science and 6 papers in Analytical Chemistry. Recurrent topics in Yongsheng Si's work include Spectroscopy and Chemometric Analyses (6 papers), Animal Behavior and Welfare Studies (5 papers) and Smart Agriculture and AI (5 papers). Yongsheng Si is often cited by papers focused on Spectroscopy and Chemometric Analyses (6 papers), Animal Behavior and Welfare Studies (5 papers) and Smart Agriculture and AI (5 papers). Yongsheng Si collaborates with scholars based in China and United States. Yongsheng Si's co-authors include Gang Liu, Sindhuja Sankaran, Lav R. Khot, Kejian Wang, Gopi Krishna Kafle, Hui Wang, Guo Zhao, Sanaz Jarolmasjed, Mark J. Pavek and N. Richard Knowles and has published in prestigious journals such as Frontiers in Plant Science, Remote Sensing and Computers and Electronics in Agriculture.

In The Last Decade

Yongsheng Si

25 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongsheng Si China 13 321 135 109 82 63 27 556
Hao Gan United States 14 563 1.8× 198 1.5× 64 0.6× 95 1.2× 149 2.4× 44 928
Chengzhi Ruan China 13 326 1.0× 119 0.9× 28 0.3× 52 0.6× 56 0.9× 28 509
Md Sultan Mahmud United States 12 539 1.7× 127 0.9× 79 0.7× 45 0.5× 145 2.3× 29 751
Huazhong Lu China 18 392 1.2× 323 2.4× 96 0.9× 229 2.8× 52 0.8× 74 942
Tateshi Fujiura Japan 11 315 1.0× 65 0.5× 70 0.6× 70 0.9× 17 0.3× 58 611
Jinglei Tang China 10 322 1.0× 111 0.8× 48 0.4× 35 0.4× 93 1.5× 32 507
Shuqin Tu China 11 343 1.1× 130 1.0× 96 0.9× 77 0.9× 60 1.0× 27 624
Zhenjiang Cai China 10 193 0.6× 52 0.4× 39 0.4× 51 0.6× 78 1.2× 32 488
Jiong Mu China 13 246 0.8× 83 0.6× 37 0.3× 56 0.7× 51 0.8× 41 438
Innocent Nyalala China 12 234 0.7× 144 1.1× 66 0.6× 97 1.2× 24 0.4× 20 583

Countries citing papers authored by Yongsheng Si

Since Specialization
Citations

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

Fields of papers citing papers by Yongsheng Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongsheng Si

This figure shows the co-authorship network connecting the top 25 collaborators of Yongsheng Si. A scholar is included among the top collaborators of Yongsheng Si 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 Yongsheng Si. Yongsheng Si 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.
Si, Yongsheng, et al.. (2025). Deep learning-based model to classify mastitis in Holstein dairy cows. Biosystems Engineering. 252. 92–104. 1 indexed citations
2.
Si, Yongsheng, et al.. (2025). Dynamic weighing system for dairy cows based on arrayed weighing platforms. Computers and Electronics in Agriculture. 230. 109943–109943.
3.
Si, Yongsheng, et al.. (2025). Multi-feature image layers fusion for accurate detection of dairy cow mastitis using deep learning. Computers and Electronics in Agriculture. 239. 110937–110937.
4.
Si, Yongsheng, et al.. (2024). A novel lameness detection method for dairy cows based on temporal gait and spatial post features. Computers and Electronics in Agriculture. 224. 109172–109172. 10 indexed citations
5.
Si, Yongsheng, et al.. (2024). Lameness detection of dairy cows based on key frame positioning and posture analysis. Computers and Electronics in Agriculture. 227. 109537–109537. 5 indexed citations
6.
Li, Qian, et al.. (2023). Fusion of udder temperature and size features for the automatic detection of dairy cow mastitis using deep learning. Computers and Electronics in Agriculture. 212. 108131–108131. 14 indexed citations
7.
Jarolmasjed, Sanaz, et al.. (2019). High-Throughput Phenotyping of Fire Blight Disease Symptoms Using Sensing Techniques in Apple. Frontiers in Plant Science. 10. 576–576. 32 indexed citations
8.
Sinha, Rajeev, Lav R. Khot, Brenda K. Schroeder, & Yongsheng Si. (2016). Rapid and non–destructive detection of Pectobacterium carotovorum causing soft rot in stored potatoes through volatile biomarkers sensing. Crop Protection. 93. 122–131. 37 indexed citations
9.
Zhao, Guo, Yongsheng Si, Hui Wang, & Gang Liu. (2016). A Portable Electrochemical Detection System based on Graphene/Ionic Liquid Modified Screen-printed Electrode for the Detection of Cadmium in Soil by Square Wave Anodic Stripping Voltammetry. International Journal of Electrochemical Science. 11(1). 54–64. 46 indexed citations
10.
Kafle, Gopi Krishna, Lav R. Khot, Sanaz Jarolmasjed, Yongsheng Si, & Karen Lewis. (2016). Robustness of near infrared spectroscopy based spectral features for non-destructive bitter pit detection in honeycrisp apples. Postharvest Biology and Technology. 120. 188–192. 38 indexed citations
11.
Si, Yongsheng & Sindhuja Sankaran. (2016). Computed tomography imaging-based bitter pit evaluation in apples. Biosystems Engineering. 151. 9–16. 23 indexed citations
12.
Si, Yongsheng, et al.. (2015). Location of apples in trees using stereoscopic vision. Computers and Electronics in Agriculture. 112. 68–74. 94 indexed citations
13.
Liu, Gang, et al.. (2014). 3D reconstruction of agriculture and forestry crops.. Transactions of the Chinese Society of Agricultural Machinery. 45(6). 4 indexed citations
14.
Si, Yongsheng, et al.. (2010). Recognition and location of fruits for apple harvesting robot.. Transactions of the Chinese Society of Agricultural Machinery. 41(9). 148–153. 12 indexed citations
15.
Liu, Gang, et al.. (2010). A recognition method of apples based on texture features and EM algorithm. World Automation Congress. 225–229. 3 indexed citations
16.
Si, Yongsheng, et al.. (2010). Early stage crop rows detection based on least square method.. Transactions of the Chinese Society of Agricultural Machinery. 41(7). 163–185. 9 indexed citations
17.
Jiang, Guoquan, et al.. (2010). A machine vision based crop rows detection for agricultural robots. 114–118. 24 indexed citations
18.
Si, Yongsheng, et al.. (2009). Development and experiment of laser land leveling system.. Journal of Jiangsu University. 30(5). 441–445. 3 indexed citations
19.
Si, Yongsheng, et al.. (2009). Recognition and shape features extraction of apples based on machine vision.. Transactions of the Chinese Society of Agricultural Machinery. 40(8). 161–165. 11 indexed citations
20.
Li, Qing, et al.. (2007). Design of a laser land leveler for paddy field. Nongye gongcheng xuebao. 2007(4). 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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