Minjuan Wang

4.1k total citations · 1 hit paper
130 papers, 3.2k citations indexed

About

Minjuan Wang is a scholar working on Plant Science, Molecular Biology and Analytical Chemistry. According to data from OpenAlex, Minjuan Wang has authored 130 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Plant Science, 28 papers in Molecular Biology and 13 papers in Analytical Chemistry. Recurrent topics in Minjuan Wang's work include Smart Agriculture and AI (24 papers), Light effects on plants (13 papers) and Plant responses to elevated CO2 (11 papers). Minjuan Wang is often cited by papers focused on Smart Agriculture and AI (24 papers), Light effects on plants (13 papers) and Plant responses to elevated CO2 (11 papers). Minjuan Wang collaborates with scholars based in China, United States and Pakistan. Minjuan Wang's co-authors include Wanlin Gao, Chen Dong, Lihua Zheng, Qinghua Yu, Jingdun Jia, Yuming Fu, Shuang Xie, Haiqin Wu, Stephen F. Kingsmore and Barry Schweitzer and has published in prestigious journals such as Nature Biotechnology, The Journal of Immunology and PLoS ONE.

In The Last Decade

Minjuan Wang

124 papers receiving 3.1k citations

Hit Papers

Lactobacillus reuteri maintains intestinal epithelial reg... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minjuan Wang China 28 1.0k 826 418 344 244 130 3.2k
Dapeng Zhang China 34 1.5k 1.5× 1.4k 1.6× 437 1.0× 523 1.5× 77 0.3× 229 5.3k
Ji Hee Lee South Korea 30 995 1.0× 311 0.4× 311 0.7× 384 1.1× 59 0.2× 185 2.8k
Hongfei Wang China 32 1.6k 1.6× 537 0.7× 276 0.7× 502 1.5× 50 0.2× 284 4.7k
Yongwei Wang China 33 1.0k 1.0× 307 0.4× 249 0.6× 592 1.7× 158 0.6× 157 3.2k
Yehua Li United States 31 844 0.8× 452 0.5× 799 1.9× 515 1.5× 40 0.2× 98 3.9k
Shuo Chen China 32 1.1k 1.1× 115 0.1× 247 0.6× 608 1.8× 353 1.4× 204 3.5k
Gang Jin China 36 1.5k 1.5× 179 0.2× 539 1.3× 1.3k 3.7× 103 0.4× 271 4.1k
Tianming Wang China 34 1.9k 1.9× 210 0.3× 149 0.4× 214 0.6× 77 0.3× 280 4.2k
Takeshi Ikeda Japan 32 1.2k 1.2× 905 1.1× 661 1.6× 384 1.1× 22 0.1× 264 4.1k
Yuan Jiang China 38 1.7k 1.7× 220 0.3× 653 1.6× 902 2.6× 129 0.5× 231 5.8k

Countries citing papers authored by Minjuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Minjuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minjuan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Minjuan Wang. A scholar is included among the top collaborators of Minjuan Wang 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 Minjuan Wang. Minjuan Wang 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.
Li, Jingsong, et al.. (2023). Towards end-to-end deep RNN based networks to precisely regress of the lettuce plant height by single perspective sparse 3D point cloud. Expert Systems with Applications. 229. 120497–120497. 7 indexed citations
2.
Zheng, Lihua, et al.. (2023). High-throughput soybean pods high-quality segmentation and seed-per-pod estimation for soybean plant breeding. Engineering Applications of Artificial Intelligence. 129. 107580–107580. 9 indexed citations
3.
Wang, Minjuan, Wanwan Li, Wenxin Zhang, et al.. (2023). Single pig pose estimation using cross-stage stacked hourglass network. 212–212. 2 indexed citations
5.
Wang, Yueting, Minzan Li, Ronghua Ji, et al.. (2022). Novel encoder for ambient data compression applied to microcontrollers in agricultural robots. International journal of agricultural and biological engineering. 15(4). 197–204. 1 indexed citations
6.
Zheng, Lihua, et al.. (2021). High-throughput soybean seeds phenotyping with convolutional neural networks and transfer learning. Plant Methods. 17(1). 50–50. 43 indexed citations
7.
Zhang, Hang, et al.. (2021). The Protective Effect of E. faecium on S. typhimurium Infection Induced Damage to Intestinal Mucosa. Frontiers in Veterinary Science. 8. 740424–740424. 14 indexed citations
8.
9.
Tuan, Vu Ngoc, Abdul Mateen Khattak, Hui Zhu, Wanlin Gao, & Minjuan Wang. (2020). Combination of Multivariate Standard Addition Technique and Deep Kernel Learning Model for Determining Multi-Ion in Hydroponic Nutrient Solution. Sensors. 20(18). 5314–5314. 11 indexed citations
10.
Jia, Jingdun, et al.. (2019). Deep Learning based Rapid Diagnosis System for Identifying Tomato Nutrition Disorders. KSII Transactions on Internet and Information Systems. 13(4). 9 indexed citations
11.
Ren, Yanzhao, et al.. (2018). Progress, problems and prospects for standardization of greenhouse-related technologies. International journal of agricultural and biological engineering. 11(1). 40–48. 2 indexed citations
12.
Dong, Chen, Lingzhi Shao, Guang‐Hui Liu, et al.. (2015). Photosynthetic characteristics, antioxidant capacity and biomass yield of wheat exposed to intermittent light irradiation with millisecond-scale periods. Journal of Plant Physiology. 184. 28–36. 37 indexed citations
13.
Dong, Chen, Lingzhi Shao, Minjuan Wang, et al.. (2015). Wheat Carbon Dioxide Responses in Space Simulations Conducted at the Chinese Lunar Palace‐1. Agronomy Journal. 108(1). 32–38. 16 indexed citations
14.
Li, Leyuan, Beizhen Xie, Chen Dong, et al.. (2015). Rearing Tenebrio molitor L. (Coleptera: Tenebrionidae) in the “Lunar Palace 1” during a 105-day multi-crew closed integrative BLSS experiment. Life Sciences in Space Research. 7. 9–14. 20 indexed citations
15.
Wang, Minjuan, Yuming Fu, & Hong Liu. (2015). Nutritional quality and ions uptake to PTNDS in soybeans. Food Chemistry. 192. 750–759. 11 indexed citations
16.
Chen, Bin, et al.. (2014). Strain glass in defect‐containing ferroelastic Ti 44 Ni 51 Nb 5 alloy. Rare Metals. 34(12). 829–832. 11 indexed citations
17.
Fu, Yuming, Hui Liu, Lingzhi Shao, et al.. (2013). A high-performance ground-based prototype of horn-type sequential vegetable production facility for life support system in space. Advances in Space Research. 52(1). 97–104. 13 indexed citations
18.
Li, Yanchun, Minjuan Wang, & Wen‐Jun Gao. (2012). Hyperdopaminergic modulation of inhibitory transmission is dependent on GSK‐3β signaling‐mediated trafficking of GABAA receptors. Journal of Neurochemistry. 122(2). 308–320. 19 indexed citations
19.
Xiao, Zijian, Liming Lin, Zhonghua Liu, et al.. (2010). Potential therapeutic effects of curcumin: Relationship to microtubule-associated proteins 2 in Aβ1–42 insult. Brain Research. 1361. 115–123. 16 indexed citations
20.
Yang, De, Qian Chen, Helene F. Rosenberg, et al.. (2004). Human Ribonuclease A Superfamily Members, Eosinophil-Derived Neurotoxin and Pancreatic Ribonuclease, Induce Dendritic Cell Maturation and Activation. The Journal of Immunology. 173(10). 6134–6142. 125 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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